<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="/oai.xsl" ?>
<OAI-PMH xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-06T18:10:56Z</responseDate>
  <request verb="ListRecords" set="oneecosystem">https://oneecosystem.pensoft.net/oai.php</request>
  <ListRecords>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e9255</identifier>
        <datestamp>2016-05-25</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>One Ecosystem: Innovation in ecology and sustainability research publishing</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5702-5677">Stoev,Pavel</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2186-5033">Penev,Lyubomir</dc:creator>
          <dc:source>One Ecosystem 1: e9255</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Editorial</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e9255</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e9255</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9255/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9255/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e9501</identifier>
        <datestamp>2016-06-14</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A new framework for inferring community assembly processes using phylogenetic information, relevant traits and environmental gradients</dc:title>
          <dc:creator>Lopez,Bianca</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8375-2501">Burgio,Kevin</dc:creator>
          <dc:creator>Carlucci,Marcos</dc:creator>
          <dc:creator>Palmquist,Kyle</dc:creator>
          <dc:creator>Parada,Andres</dc:creator>
          <dc:creator>Weinberger,Vanessa</dc:creator>
          <dc:creator>Hurlbert,Allen</dc:creator>
          <dc:subject>ecology</dc:subject>
          <dc:subject>environmental filtering</dc:subject>
          <dc:subject>phylogenetics</dc:subject>
          <dc:subject>environmental gradients</dc:subject>
          <dc:subject>functional biodiversity</dc:subject>
          <dc:subject>phylogenetic biodiversity</dc:subject>
          <dc:subject>community assembly</dc:subject>
          <dc:source>One Ecosystem 1: e9501</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e9501</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e9501</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9501/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9501/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e8621</identifier>
        <datestamp>2016-06-27</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Adoption of Machine Learning Techniques in Ecology and Earth Science</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-2908-3327">Thessen,Anne</dc:creator>
          <dc:subject>ecology</dc:subject>
          <dc:subject>machine learning</dc:subject>
          <dc:subject>earth science</dc:subject>
          <dc:subject>statistical learning</dc:subject>
          <dc:source>One Ecosystem 1: e8621</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e8621</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e8621</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/8621/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/8621/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e9990</identifier>
        <datestamp>2016-11-01</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Global change impacts on ecosystem services: a spatially explicit assessment for Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-7065-8647">Polce,Chiara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5862-4030">M Brander,Luke</dc:creator>
          <dc:creator>Cescatti,Alessandro</dc:creator>
          <dc:creator>Baranzelli,Claudia</dc:creator>
          <dc:creator>Lavalle,Carlo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9951-6765">Zulian,Grazia</dc:creator>
          <dc:subject>Bayesian Network</dc:subject>
          <dc:subject>climate</dc:subject>
          <dc:subject>ecosystem</dc:subject>
          <dc:subject>impact assessment</dc:subject>
          <dc:subject>LUISA</dc:subject>
          <dc:subject>modelling</dc:subject>
          <dc:subject>regulating services</dc:subject>
          <dc:source>One Ecosystem 1: e9990</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e9990</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e9990</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9990/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9990/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e9280</identifier>
        <datestamp>2016-11-15</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Urban climate and heat stress: how likely is the implementation of adaptation measures in mid-latitude cities? The case of fa&#xE7;ade greening analyzed with Bayesian networks</dc:title>
          <dc:creator>Sprondel,Nora</dc:creator>
          <dc:creator>Donner,Julie</dc:creator>
          <dc:creator>Mahlkow,Nicole</dc:creator>
          <dc:creator>Koeppel,Johann</dc:creator>
          <dc:subject>Bayesian networks</dc:subject>
          <dc:subject>fa&#xE7;ade greening</dc:subject>
          <dc:subject>implementation</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>climate change adaptation</dc:subject>
          <dc:subject>Berlin</dc:subject>
          <dc:source>One Ecosystem 1: e9280</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e9280</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e9280</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9280/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9280/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.1.e9869</identifier>
        <datestamp>2016-11-29</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Priority areas in municipality planning: ecosystem services, environmental impact assessments and research areas</dc:title>
          <dc:creator>Palo,Thomas</dc:creator>
          <dc:creator>Lagercrantz,Karen</dc:creator>
          <dc:creator>Bramryd,Torleif</dc:creator>
          <dc:creator>Johansson,Michael</dc:creator>
          <dc:creator>Beery,Thomas</dc:creator>
          <dc:creator>J&#xF6;nsson,K</dc:creator>
          <dc:creator>Wamsler,Christine</dc:creator>
          <dc:creator>Brink,Ebba</dc:creator>
          <dc:creator>Schubert,Per</dc:creator>
          <dc:creator>Ekelund,Nils</dc:creator>
          <dc:subject>Ecosystem Services</dc:subject>
          <dc:subject>Environmental Impact Assessment</dc:subject>
          <dc:subject>Municipalities</dc:subject>
          <dc:subject>Planning</dc:subject>
          <dc:subject>Tools</dc:subject>
          <dc:source>One Ecosystem 1: e9869</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2016</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.1.e9869</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.1.e9869</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9869/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/9869/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e11402</identifier>
        <datestamp>2017-01-19</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping Habitat Quality in the Lombardy Region, Italy</dc:title>
          <dc:creator>Salata,Stefano</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9793-0287">Ronchi,Silvia</dc:creator>
          <dc:creator>Arcidiacono,Andrea</dc:creator>
          <dc:creator>Ghirardelli,Federico</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Landscape planning</dc:subject>
          <dc:subject>Mapping</dc:subject>
          <dc:subject>Habitat quality</dc:subject>
          <dc:subject>Legislative tools</dc:subject>
          <dc:source>One Ecosystem 2: e11402</dc:source>
          <dc:description>This paper reports a case study which examines the how mapping ecosystem services can be used to identify areas of significant natural value to be protected or restored. We mapped habitat quality in Lombardy (northwest Italy) using the InVEST (Integrated Valuation of Ecosystem Services and Tradeoff) model. Model outputs were used to approximate the spatial distribution of ecological quality across the region provided a framework to support the implementation of the Lombardy Regional Landscape Plan. This resulted in a proposal for introduction of new protected areas in the updated Landscape Plan, while other areas were proposed to be removed.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e11402</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e11402</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/11402/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/11402/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e11613</identifier>
        <datestamp>2017-02-15</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Evaluation of the ecosystem services approach in agricultural literature</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5802-1432">Schmidt,Martin</dc:creator>
          <dc:creator>Wei&#xDF;huhn,Peter</dc:creator>
          <dc:creator>Augustin,J&#xFC;rgen</dc:creator>
          <dc:creator>Funk,Roger</dc:creator>
          <dc:creator>H&#xE4;fner,Kati</dc:creator>
          <dc:creator>Koennig,Hannes</dc:creator>
          <dc:creator>Loft,Lasse</dc:creator>
          <dc:creator>Merz,Christoph</dc:creator>
          <dc:creator>Meyer,Claas</dc:creator>
          <dc:creator>Piorr,Annette</dc:creator>
          <dc:creator>Reutter,Michaela</dc:creator>
          <dc:creator>Stachow,Ulrich</dc:creator>
          <dc:creator>Stein-Bachinger,Karin</dc:creator>
          <dc:creator>Matzdorf,Bettina</dc:creator>
          <dc:subject>Adapted Delphi</dc:subject>
          <dc:subject>Experts</dc:subject>
          <dc:subject>Scopus Advanced Search</dc:subject>
          <dc:subject>Search algorithm</dc:subject>
          <dc:subject>concept implementation</dc:subject>
          <dc:source>One Ecosystem 2: e11613</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Data Paper (Generic)</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e11613</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e11613</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/11613/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/11613/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e12290</identifier>
        <datestamp>2017-05-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Marine and Coastal Cultural Ecosystem Services: knowledge gaps and research priorities</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0234-5710">Garcia Rodrigues,Jo&#xE3;o</dc:creator>
          <dc:creator>Conides,Alexis</dc:creator>
          <dc:creator>Rivero Rodriguez,Susana</dc:creator>
          <dc:creator>Raicevich,Sasa</dc:creator>
          <dc:creator>Pita,Pablo</dc:creator>
          <dc:creator>Kleisner,Kristin</dc:creator>
          <dc:creator>Pita,Cristina</dc:creator>
          <dc:creator>Lopes,Priscila F. M.</dc:creator>
          <dc:creator>Alonso Rold&#xE1;n,Virginia</dc:creator>
          <dc:creator>Ramos,Sandra</dc:creator>
          <dc:creator>Klaoudatos,Dimitris</dc:creator>
          <dc:creator>Outeiro,Lu&#xED;s</dc:creator>
          <dc:creator>Armstrong,Claire</dc:creator>
          <dc:creator>Teneva,Lida</dc:creator>
          <dc:creator>Stefanski,Stephanie</dc:creator>
          <dc:creator>B&#xF6;hnke-Henrichs,Anne</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0789-0045">Kruse,Marion</dc:creator>
          <dc:creator>Lilleb&#xF8;,Ana</dc:creator>
          <dc:creator>Bennett,Elena</dc:creator>
          <dc:creator>Belgrano,Andrea</dc:creator>
          <dc:creator>Murillas,Arantza</dc:creator>
          <dc:creator>Sousa Pinto,Isabel</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator>Villasante,Sebasti&#xE1;n</dc:creator>
          <dc:subject>Human wellbeing</dc:subject>
          <dc:subject>non-material benefits</dc:subject>
          <dc:subject>integrated valuation</dc:subject>
          <dc:subject>value pluralism</dc:subject>
          <dc:subject>drivers of change</dc:subject>
          <dc:subject>co-production</dc:subject>
          <dc:subject>synergies</dc:subject>
          <dc:subject>trade-offs</dc:subject>
          <dc:subject>social-ecological systems</dc:subject>
          <dc:subject>systematic review</dc:subject>
          <dc:subject>global assessment.</dc:subject>
          <dc:source>One Ecosystem 2: e12290</dc:source>
          <dc:description>Cultural ecosystem services (CES) reflect peoples&#x2019; physical and cognitive interactions with nature and are increasingly recognised for providing non-material benefits to human societies. Whereas coasts, seas, and oceans sustain a great proportion of the human population, CES provided by these ecosystems have remained largely unexplored. Therefore, our aims were (1) to analyse the state of research on marine and coastal CES, (2) to identify knowledge gaps, and (3) to pinpoint research priorities and the way forward. To accomplish these objectives, we did a systematic review of the scientific literature and synthesised a subset of 72 peer-reviewed publications. Results show that research on marine and coastal CES is scarce compared to other ecosystem service categories. It is primarily focused on local and regional sociocultural or economic assessments of coastal ecosystems from Western Europe and North America. Such research bias narrows the understanding of social-ecological interactions to a western cultural setting, undermining the role of other worldviews in the understanding of a wide range of interactions between cultural practices and ecosystems worldwide. Additionally, we have identified clusters of co-occurring drivers of change affecting marine and coastal habitats and their CES. Our systematic review highlights knowledge gaps in: (1) the lack of integrated valuation assessments; (2) linking the contribution of CES benefits to human wellbeing; (3) assessing more subjective and intangible CES classes; (4) identifying the role of open-ocean and deep-sea areas in providing CES; and (5) understanding the role of non-natural capital in the co-production of marine and coastal CES. Research priorities should be aimed at filling these knowledge gaps. Overcoming such challenges can result in increased appreciation of marine and coastal CES, and more balanced decision-supporting mechanisms that will ultimately contribute to more sustainable interactions between humans and marine ecosystems.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e12290</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e12290</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/12290/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/12290/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14062</identifier>
        <datestamp>2017-07-04</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>GIS-based Valuation of Ecosystem Services in Mountain Regions: A Case Study of the Karlovo Municipality in Bulgaria</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-0732-254X">Koulov,Boian</dc:creator>
          <dc:creator>Ivanova,Ekaterina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator>Assenov,Assen</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3502-7815">Ravnachka,Aleksandra</dc:creator>
          <dc:subject>ecosystem services mapping and valuation</dc:subject>
          <dc:subject>ecosystem services dysergy</dc:subject>
          <dc:subject>sustainable governance</dc:subject>
          <dc:subject>mountain regions</dc:subject>
          <dc:subject>Bulgaria</dc:subject>
          <dc:source>One Ecosystem 2: e14062</dc:source>
          <dc:description>This study aims to apply approaches, methods, and indicators from the conceptual framework of ecosystem services valuation to a real world, local level case study. It tests a GIS-based mapping and valuation of ecosystem services model in a typical mountain municipality in Bulgaria. Investigation results address opportunities, challenges and limitations in the practical application of the ecosystem services concept. They include an integrated assessment of the ecosystem services in a specific administrative territorial unit and suggest its Total Economic Value. The introduction of the term &#x201C;ecosystem services dysergy&#x201D; should contribute to valuation theory and practice. The study upgrades the currently available knowledge base that supports geospatial planning and sustainable development of the Karlovo Municipality and offers recommendations for improvement of the municipal ecosystem services utilization, which include identification, analysis, and visualization of hotspots and dysergy areas.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14062</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14062</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14062/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14062/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e13714</identifier>
        <datestamp>2017-07-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>The need for the implementation of an Ecosystem Services assessment in Greece: drafting the national agenda</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-0699-9954">Dimopoulos,Panayotis</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4404-629X">Drakou,Evangelia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0647-3445">Kokkoris,Ioannis</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5137-7540">Katsanevakis,Stelios</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7103-9971">Kallimanis,Athanasios</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0203-8347">Tsiafouli,Maria</dc:creator>
          <dc:creator>Bormpoudakis,Dimitrios</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8214-0175">Kormas,Konstantinos</dc:creator>
          <dc:creator>Arends,Jeroen</dc:creator>
          <dc:subject>Ecosystem service mapping</dc:subject>
          <dc:subject>IPBES</dc:subject>
          <dc:subject>Knowledge overview</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>National biodiversity targets</dc:subject>
          <dc:subject>NBSAPs</dc:subject>
          <dc:subject>National Committee</dc:subject>
          <dc:source>One Ecosystem 2: e13714</dc:source>
          <dc:description>This paper presents the establishment and the first outcomes of the Hellenic Ecosystem Services Partnership (HESP), a scientific-technical committee aiming at the guidance and coordination of the Ecosystem Services (ES) assessment in Greece. HESP consists of experts from different disciplines (ecology, marine biology, socio-ecological system science) and aims to: i) coordinate ES assessment efforts under a shared framework; ii) promote the ES approach in Greece; iii) support the European implementation of ES at the national level (Mapping and Assessment of Ecosystem and their Services initiative), and iv) fulfill priority actions regarding the ES implementation and the obligations derived from the National Biodiversity Strategy. In this paper, we present the first drafting of the National Agenda including short- and long-term objectives towards the national implementation of MAES, we outline the HESP Action Plan to 2020, as well as the timeline of the basic steps to be taken, to achieve decision making on the basis of ES maintenance and enhancement. It will also serve as a call for action to encourage more ES assessments at the national level, but also as a primer for the inclusion of protected areas and other areas of special importance for ES assessments at the EU level.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e13714</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e13714</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13714/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13714/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14021</identifier>
        <datestamp>2017-07-06</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Germany&#x2019;s Ecosystem Services &#x2013; State of the Indicator Development for a Nationwide Assessment and Monitoring</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5064-3843">Grunewald,Karsten</dc:creator>
          <dc:creator>Syrbe,Ralf-Uwe</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2001-2386">Walz,Ulrich</dc:creator>
          <dc:creator>Richter,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9201-7664">Meinel,Gotthard</dc:creator>
          <dc:creator>Herold,Hendrik</dc:creator>
          <dc:creator>Marzelli,Stefan</dc:creator>
          <dc:subject>Biodiversity</dc:subject>
          <dc:subject>CICES-classification</dc:subject>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>flood protection</dc:subject>
          <dc:subject>MAES-framework</dc:subject>
          <dc:subject>soil erosion</dc:subject>
          <dc:subject>urban green space</dc:subject>
          <dc:subject>wood accrual</dc:subject>
          <dc:source>One Ecosystem 2: e14021</dc:source>
          <dc:description>The obligations of the EU Biodiversity Strategy 2020 are generating a need to create national maps and monitoring systems for the state of biodiversity and ecosystem services (ES) on the basis of indicators. The paper gives an overview of the ecosystem services indicators being developed for Germany in the context of ongoing research projects. Additionally, it provides the indicator specifications, which are aligned with the EU MAES framework concepts (initiative on Mapping and Assessment of Ecosystems and their Services).
  We illustrate aspects of data selection, calculation and negotiation procedures, results and target values in general and by way of examples. The German indicator-based approach presents measures and sums up ES in their spatial expression and temporal change and compares them with objectives. As far as possible, this is carried out according to the demand-supply concept. A prioritization of ES classes to be processed was carried out in the framework of an expert-based assessment. The results indicated that 21 of the 48 CICES classes (Common International Classification of Ecosystem Services) were most relevant for Germany in recent years. We proposed a total of 51 indicators, of which 14 indicators for 4 ES classes were accepted, implemented and published by the end of 2016. The development of ES maps and the indicator-based assessment on a national scale is a process. Consequently, the necessary further steps are shown.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14021</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14021</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14021/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14021/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e13738</identifier>
        <datestamp>2017-07-26</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping the dependency of crops on pollinators in Belgium</dc:title>
          <dc:creator>Jacquemin,Floriane</dc:creator>
          <dc:creator>Violle,Cyrille</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0891-2189">Rasmont,Pierre</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5664-9955">Dufr&#xEA;ne,Marc</dc:creator>
          <dc:subject>Crop</dc:subject>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>pollination service</dc:subject>
          <dc:subject>dependency ratio</dc:subject>
          <dc:subject>vulnerability index.</dc:subject>
          <dc:source>One Ecosystem 2: e13738</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Ecosystem Service Mapping</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e13738</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e13738</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13738/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13738/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e13708</identifier>
        <datestamp>2017-08-30</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Plant Checklist of the Bukit Nanas Forest Reserve, Kuala Lumpur, Malaysia</dc:title>
          <dc:creator>Salleh,Norzielawati</dc:creator>
          <dc:creator>Azeman,Syazwani</dc:creator>
          <dc:creator>Kiew,Ruth</dc:creator>
          <dc:creator>Kamin,Imin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2438-6126">Chung,Richard Cheng Kong</dc:creator>
          <dc:subject>Inventory</dc:subject>
          <dc:subject>Bukit Nanas Forest Reserve</dc:subject>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>common species</dc:subject>
          <dc:subject>invasive species</dc:subject>
          <dc:subject>cultivated species</dc:subject>
          <dc:source>One Ecosystem 2: e13708</dc:source>
          <dc:description>Bukit Nanas Forest Reserve, the oldest forest reserve in Malaysia established in 1900, lies in the center of Kuala Lumpur, the capital city. Over time it has been reduced from 17.5 ha to 9.37 ha but still retains important biodiversity. Its lowland equatorial rain forest has never been logged and tall emergent species to 35 m tall and 124 cm diameter persist. Since 1900, 499 plant species (2 lycophytes, 25 ferns, 39 monocots and 433 dicots) have been recorded. This year-long survey refound 425 species, including the rare Tarenna rudis (Rubiaceae), a local endemic found only in Selangor state. The multi-layered structure of lowland dipterocarp forest (16 Diperocarpaceae species were recorded) is intact. However, with diminishing size, the edge effect is more pronounced with secondary forest species, from trees to herbs, becoming established. In 2009, declared as the KL Forest Eco Park, it is important for its biodiversity, history, accessibility to the public for recreation (forest walks), scientific study, education (natural history, bird-watching, etc), as well as serving as a green lung in the bustling city. Baseline data, such as this survey, enables scientific management that will maintain the forest structure and biodiversity.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Ecosystem Inventory</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e13708</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e13708</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13708/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13708/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e13718</identifier>
        <datestamp>2017-09-08</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem Service&#xA0;capacity is higher in areas of multiple designation&#xA0;types</dc:title>
          <dc:creator>Nikolaidou,Charitini</dc:creator>
          <dc:creator>Votsi,Nefta</dc:creator>
          <dc:creator>Sgardelis,Steanos</dc:creator>
          <dc:creator>Halley,John</dc:creator>
          <dc:creator>Pantis,John</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0203-8347">Tsiafouli,Maria</dc:creator>
          <dc:subject>Ecosystem Services hotspots</dc:subject>
          <dc:subject>Natura 2000</dc:subject>
          <dc:subject>Quiet Protected Areas</dc:subject>
          <dc:subject>Biodiversity</dc:subject>
          <dc:subject>Agriculture</dc:subject>
          <dc:subject>Elevation</dc:subject>
          <dc:subject>Slope</dc:subject>
          <dc:subject>Ecosystem Service trade-offs and synergies</dc:subject>
          <dc:subject>&#xA0;cultural services</dc:subject>
          <dc:subject>provisioning services</dc:subject>
          <dc:subject>regulating services</dc:subject>
          <dc:subject>supporting services</dc:subject>
          <dc:source>One Ecosystem 2: e13718</dc:source>
          <dc:description>The implementation of the Ecosystem Service (ES) concept into practice might be a challenging task as it has to take into account previous &#x201C;traditional&#x201D; policies and approaches that have evaluated nature and biodiversity differently. Among them the Habitat (92/43/EC) and Bird Directives (79/409/EC), the Water Framework Directive (2000/60/EC), and the Noise Directive (2002/49/EC) have led to the evaluation/designation of areas in Europe with different criteria. In this study our goal was to understand how the ES&#xA0;capacity of an area is related to its designation&#xA0;and if areas with multiple designations have higher capacity in providing ES.We selected four catchments in Greece with a great variety of characteristics covering over 25% of the national territory. Inside the catchments we assessed the ES&#xA0;capacity (following the methodology of Burkhard et al.&#xA0;2009) of areas designated as Natura 2000 sites, Quiet areas and&#xA0;Wetlands or Water bodies and found those areas that have multiple designations. Data were analyzed by GLM to reveal differences regarding the ES&#xA0;capacity among the different types of areas. We also investigated by PCA synergies and trade-offs among different kinds of ES&#xA0;and tested for correlations among landscape properties, such as elevation, aspect and slope and the ES&#xA0;potential.Our results show&#xA0;that areas with different types or multiple designations have a different capacity in providing ES. Areas of one designation type (Protected or Quiet Areas) had in general intermediate scores in most ES&#xA0;but scores were higher compared to areas with no designation, which displayed stronger capacity in provisioning services. Among Protected Areas and Quiet Areas the latter scored better in general. Areas that combined both designation types (Protected and Quiet Areas) showed the highest capacity in 13 out of 29 ES, that were mostly linked with natural and forest ecosystems.&#xA0;We found significant synergies among most regulating, supporting and cultural ES&#xA0;which in turn display trade-offs with provisioning services. The different ES&#xA0;are spatially related and display strong correlation with landscape properties, such as elevation and slope.&#xA0;We suggest that the designation status of an area can be used as an alternative tool for environmental policy, indicating the capacity for&#xA0;ES&#xA0;provision. Multiple designations of areas can be used as proxies for locating ES &#x201C;hotspots&#x201D;. This integration of &#x201C;traditional&#x201D; evaluation and designation and the &#x201C;newer&#x201D; ES concept forms a time- and cost-effective way to be adopted by stakeholders and policy-makers in order to start complying&#xA0;with new standards and demands for&#xA0;nature conservation and environmental management.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/FP7/226852</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e13718</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e13718</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13718/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/13718/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14814</identifier>
        <datestamp>2017-10-09</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem services in Norway</dc:title>
          <dc:creator>Skre,Oddvar</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>validation</dc:subject>
          <dc:subject>use and non-use values</dc:subject>
          <dc:subject>conflicts between ES</dc:subject>
          <dc:subject>employment</dc:subject>
          <dc:subject>Climate</dc:subject>
          <dc:subject>land-use</dc:subject>
          <dc:subject>direct/indirect methods.</dc:subject>
          <dc:source>One Ecosystem 2: e14814</dc:source>
          <dc:description>The present study is reviewing public reports and research articles in order to estimate and validate ecosystem services in Norway, and investigate conflicts between stakeholders representing different ecosystem services, by means of direct and indirect methods, for different main ecosystem categories,e.g. mountain ecosystems, forests,agricultural areas, freshwater ecosystems, marine ecosystems and urban areas. The ecosystem services (ES) are based on the three main well-known categories (providing, regulating and cultural services). The provisional services in Norway include some very important ES like fish &amp; seafood production, timber and pulp products, bioenergy and genetic resources, while the regulating services in Norway include important services like flood and landslide protection, pest and disease control in forestry and farming, carbon fixation in forests and air quality regulation. These services are also influenced by climate, pollution, urbanization and invasive species. Finally, the cultural services, like recreation &amp; ecotourism, health and well-being, knowledge &amp; learning and spiritual enrichment, are included. The values of the ES are estimated and quantified by direct (market based) and indirect methods (e.g. preferences).
  The relative importance of these ES is estimated by questionnaires and cost/benefit analysis, and administrative measures are suggested to compensate for threats and lack of sustainability. However, non-renewable resources like oil, gas and minerals are not included in the present overview. Among the ES in mountains, the value of outdoor activity as estimated from preference studies is totally dominating over the value of hunting and reindeer husbandry. Among the ES in forests the highest values are related to the health benefit from recreation, followed by the value of carbon fixation. The willingness to protect certain forests with high biodiversity is also high. Among ES from agricultural areas the provisional services (food and food processing) are dominating, while in freshwater ecosystems the value of wild salmon fishing measured by payment willingness, is dominating over the willingness to pay for improved water quality. Finally, the most important ES in Norway in monetary terms are found in marine ecosystems. Among the urban ES, the value of outdoor recreation and improved air quality represent the highest values. The most frequent conflicts in Norway are probably those dealing with energy production (windmills, hydropower production, oil drilling) and sea farming vs. biodiversity and recreation, between mass tourism and nature conservation and between sheep farming and conservation of big predators like wolf, bear, lynx and wolverine.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14814</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14814</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14814/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14814/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14808</identifier>
        <datestamp>2017-10-09</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Valuation of ecosystem services: paradox or Pandora&#x2019;s box for decision-makers?</dc:title>
          <dc:creator>Nijnik,Maria</dc:creator>
          <dc:creator>Miller,David</dc:creator>
          <dc:subject>Natural assets</dc:subject>
          <dc:subject>public goods</dc:subject>
          <dc:subject>forest</dc:subject>
          <dc:subject>sustainability</dc:subject>
          <dc:subject>non-monetary valuation</dc:subject>
          <dc:subject>mixed methods</dc:subject>
          <dc:subject>Scotland</dc:subject>
          <dc:source>One Ecosystem 2: e14808</dc:source>
          <dc:description>The valuation of ecosystem services (ES) employs a range of methods. Based on a literature review and selected empirical examples, we consider major opportunities and challenges in ecosystem services valuation. We analyse when different valuation methods are appropriate and most useful. We demonstrate that mechanisms to capture benefits and costs are needed; and that the use of valuation should be incorporated more widely in decision-making. However, we argue that ecosystems are complex systems: neither the ecosystems or the services that they provide are a sum, but are an interrelated system of components. If a component vanishes the whole system may collapse. Therefore, critical natural capital management, in particular, cannot rely on monetary values; whilst the maintanance of the whole system should be considered. Monetary valuation of biodiversity and landscapes is also problematic because of their uniqueness and distinctiveness, a shortage of robust primary valuations, and numerous complexities and uncertainties. We conclude that mixed method and deliberative discourse techniques, as well as proper integration of research tools, should be more widely applied to help decision-makers and the public to understand and assess changes in ES. The approaches developed and tested by us, as presented in this paper, can provide more complete, comprehensive and impartial insights into a range of benefits that humans derive from ecosystems.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/677622</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14808</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14808</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14808/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14808/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14014</identifier>
        <datestamp>2017-11-23</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem services mapping for municipal policy: ESTIMAP and zoning for urban beekeeping</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-6939-7972">Stange,Erik</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9951-6765">Zulian,Grazia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3769-8345">Rusch,Graciela</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6501-9381">Barton,David N.</dc:creator>
          <dc:creator>Nowell,Megan</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Pollination</dc:subject>
          <dc:subject>Honeybees</dc:subject>
          <dc:subject>Wild bees</dc:subject>
          <dc:subject>Urban</dc:subject>
          <dc:subject>Mapping</dc:subject>
          <dc:subject>Trade-offs</dc:subject>
          <dc:source>One Ecosystem 2: e14014</dc:source>
          <dc:description>Pollinating insects are an integral part of cities&#x2019; natural capital and perform an important ecosystem function with a high degree of relevance to many cultural ecosystem services. Consequently, pollinators serve as a useful proxy for assessing urban biodiversity. Beekeeping has recently emerged as a popular activity in many urban areas and a good deal of the motivation for urban beekeeping for many stems from the cultural and non-consumptive aspects of beekeeping. Yet the recent increases in domestic honeybee densities in urban landscapes has raised concern regarding the potential threat that honeybees might pose to local populations of threatened bumblebee and solitary bee species. This issue constitutes a trade-off between the cultural ecosystem services associated with urban beekeeping and the regulation and maintenance ecosystem services of maintaining nursery populations of rare and threatened species. Municipal authorities in Oslo, Norway have proposed establishing eight &#x201C;precautionary zones&#x201D;, within which placement of honeybee hives could be more strictly regulated. We propose a mapping and assessment approach for informing zoning decisions regarding urban honeybees, utilising a model of an urban landscape&#x2019;s biophysical capacity to support pollinating insects (ESTIMAP). Together with an additional model describing the approximate distrubtion of honeybees in Oslo, we identify areas in the city where domestic honeybees may be more likely to exhaust floral resources. This case also tests the policy relevance of ecosystem service mapping tools beyond awareness raising, with broader general lessons for ecosystem mapping and assessment .</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/FP7/308428</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14014</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14014</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14014/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14014/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e14499</identifier>
        <datestamp>2017-12-04</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessment of urban ecosystem condition and services using integrated index of spatial structure</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3007-9659">Dimitrov,Stelian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator>Popov,Anton</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1204-1275">Ihtimanski,Ivo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4092-8340">Yaneva,Rositsa</dc:creator>
          <dc:creator id="https://orcid.org/0009-0007-3196-4389">Nikolov,Petar</dc:creator>
          <dc:creator>Bratanova-Doncheva,Svetla</dc:creator>
          <dc:subject>Urban ecosystems</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>green infrastructure</dc:subject>
          <dc:subject>land cover</dc:subject>
          <dc:subject>built type</dc:subject>
          <dc:subject>carbon storage</dc:subject>
          <dc:subject>climate regulation</dc:subject>
          <dc:source>One Ecosystem 2: e14499</dc:source>
          <dc:description>Urban ecosystems are the areas where built infrastructure covers a large proportion of the land surface but the main source of ecosystem services provision is the green infrastructure. This provision is very much dependent on the particular combination of green spaces such as parks or vegetation belts and paved areas such as buildings and streets. The spatial arrangement of these elements is an important parameter which could be used for the assessment of the ecosystem condition in the urban areas. An integrated index of spatial structure is proposed which incorporates built types and land cover from the Local Climate Zones (LCZ) concept with urban ecosystems' classes developed on the basis of MAES typology. An algorithm has been developed for index generation using an urban ecosystems' database and remote sensing data. The index is used to define vegetation cover in urban ecosystems and assess their condition as a part of the assessment framework. It is also applied in the assessment of several ecosystem services through quantification of ecosystem services' indicators or as an indicator in a complex assessment. The results show that, although most urban ecosystems in Bulgaria are assessed as moderate and good condition, very few of them have very good condition and about 3.5% have very bad condition. The highest scores are defined for urban green areas while the lowest are for transport networks. The use of an integrated index in urban ecosystem services' assessment is represented by examples for global and local climate regulation. The results are used to develop maps of ecosystem services supply capacity for selected cities. The overall analysis indicates that the urban ecosystems in Bulgaria have a moderate to good capacity for local climate regulation and moderate to low capacity for global climate regulation. The integrated index of spatial structure provides an appropriate basis for characterisation and assessment of the urban ecosystems condition and ecosystem services following the requirements of the EU Biodiversity Strategy and the MAES process. The proposed approach enables the internal heterogeneity of the urban ecosystems at national level to be defined, this being one of the main challenges in studying urban ecological systems.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e14499</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e14499</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14499/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/14499/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.2.e20834</identifier>
        <datestamp>2017-12-18</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>The role of enabling actors in ecosystem service accounting</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-6951-709X">La Notte,Alessandra</dc:creator>
          <dc:creator>Marques,Alexandra</dc:creator>
          <dc:subject>System of Environmental-Economic Accounting - Experimental Ecosystem Accounts (SEEA-EEA)</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>enabling actors</dc:subject>
          <dc:subject>Water purification</dc:subject>
          <dc:source>One Ecosystem 2: e20834</dc:source>
          <dc:description>When accounting for ecosystem services, it is important to distinguish between the flow of services and the flow of benefits (which can be part of economic accounts or not) generated by those services. To disentangle services and benefits, particular attention has to be paid in allocating each category of flows in the use table to those institutional sectors that generate the need for the services and have the power to modify them - the enabling actors - and to final beneficiaries. The general concept of use, without specifying whether services or benefits are referred to, could in fact lead to misinterpretations. This paper discusses the issue of the allocation of ecosystem services and the role of enabling actors through a practical example of water purification accounts in the Netherlands. In particular, the role of the agricultural sector as an enabling actor is disentangled from the cleaned water as benefit and from water supply companies as beneficiaries. The proper allocation of the flow of the service can in fact facilitate the establishment of a causal relationship between the actions of economic actors and ecological consequences and vice versa.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2017</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.2.e20834</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.2.e20834</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/20834/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/20834/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e20713</identifier>
        <datestamp>2018-01-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Practical solutions for bottlenecks in ecosystem services mapping</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-4573-5989">Palomo,Ignacio</dc:creator>
          <dc:creator>Willemen,Louise</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4404-629X">Drakou,Evangelia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator>Crossman,Neville</dc:creator>
          <dc:creator>Bellamy,Chloe</dc:creator>
          <dc:creator>Burkhard,Kremena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2566-7827">Campagne,C. Sylvie</dc:creator>
          <dc:creator>Dangol,Anuja</dc:creator>
          <dc:creator>Franke,Jonas</dc:creator>
          <dc:creator>Kulczyk,Sylwia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7886-2899">Le Clec'h,Solen</dc:creator>
          <dc:creator>Malak,Dania</dc:creator>
          <dc:creator>Mu&#xF1;oz,Lorena</dc:creator>
          <dc:creator>Narusevicius,Vytautas</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1216-9570">Ottoy,Sam</dc:creator>
          <dc:creator>Roelens,Jennifer</dc:creator>
          <dc:creator>Sing,Louise</dc:creator>
          <dc:creator>Thomas,Amy</dc:creator>
          <dc:creator>Van Meerbeek,Koenraad</dc:creator>
          <dc:creator>Verweij,Peter</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:subject>solutions</dc:subject>
          <dc:subject>spatial analysis</dc:subject>
          <dc:subject>sustainability.</dc:subject>
          <dc:source>One Ecosystem 3: e20713</dc:source>
          <dc:description>Ecosystem services (ES) mapping is becoming mainstream in many sustainability assessments, but its impact on real world decision-making is still limited. Robustness, end-user relevance and transparency have been identified as key attributes needed for effective ES mapping. However, these requirements are not always met due to multiple challenges, referred to here as bottlenecks, that scientists, practitioners, policy makers and users from other public and private sectors encounter along the mapping process.A selection of commonly encountered ES mapping bottlenecks that relate to seven themes: i) map-maker map-user interaction; ii) nomenclature and ontologies; iii) skills and background; iv) data and maps availability; v) methods-selection; vi) technical difficulties; and vii) over-simplification of mapping process/output. The authors synthesise the variety of solutions already applied by map-makers and map-users to mitigate or cope with these bottlenecks and discuss the emerging trade-offs amongst different solutions. Tackling the bottlenecks described here is a crucial first step towards more effective ES mapping, which can in turn ensure the adequate impact of ES mapping in decision-making.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Ecosystem Service Mapping</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e20713</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e20713</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/20713/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/20713/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e23156</identifier>
        <datestamp>2018-02-21</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Assessment and mapping the dynamics of soil properties in selected forest stands from the region of Central Balkan National Park in the context of ecosystem services</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-4092-8340">Yaneva,Rositsa</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:creator>Markoff,Ivailo</dc:creator>
          <dc:creator>Sokolovska,Maria</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:subject>ICP Forests Level I</dc:subject>
          <dc:subject>soil</dc:subject>
          <dc:subject>dynamics</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:source>One Ecosystem 3: e23156</dc:source>
          <dc:description>Forests set natural conditions and embody a repository of biological diversity that represents a myriad of ecosystem services for human well-being. The spatial patterns and the forest ecosystems&#x2019; dynamics over time make the forests of particular environmental significance for the provision of ecosystem services. The terrestrial biodiversity and the sustainable management strategies' demand for mapping and assessment of the dynamics for the condition of forest ecosystems by drawing attention to the soil properties. In order to take on that task, the data series obtained by the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) for the period 1986&#x2013;2016 were found as appropriate quantitative indicators that convey information about the ecosystem&#x2019;s capacity to provide certain regulating ecosystem services. The ICP Forests Level I sites, located in the Central Balkan region, provide consistent information, which is collected on a regular basis about observed forest stands.
  The primary focus of the present research is to conduct a biophysical assessment of the forest ecosystems and to define their overall condition regarding two time series &#x2013; the periods 1992/1993 and 2015. This study attempts to introduce an innovative approach and aims at linking the existing ICP Forests network dataset with the ecosystem services concept and the identified spatial units from the CORINE Land Cover (CLC) polygons for the territory of Central Balkan National Park. On this basis and through the implementation of GIS techniques, the dynamics of soil properties in selected forest ecosystems was analysed with regard to their capacity to supply relevant ecosystems services, which were assessed and mapped. The biophysical data provides robust information on the ecosystem services and the results show the variations in the capacity of different forest sub-types to provide ecosystem services within a well-defined land cover unit. Additionally, the research work intended to review the generated outcomes with reference to the DPSIR (driver-pressure-state-impact-response) method by giving feedback on the changes in the terrestrial ecosystems in the last 25 years. Further application of the mapping approach in assisting the communication in the decision- making process is also discussed.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e23156</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e23156</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/23156/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/23156/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e21610</identifier>
        <datestamp>2018-02-21</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Integrated assessment of urban green infrastructure condition in Karlovo urban area by in-situ observations and remote sensing</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-3007-9659">Dimitrov,Stelian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5703-2597">Georgiev,Georgi</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3165-1992">Georgieva,Margarita</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4098-7498">Glushkova,Maria</dc:creator>
          <dc:creator>Chepisheva,Ventsislava</dc:creator>
          <dc:creator id="https://orcid.org/0009-0004-8373-0769">Mirchev,Plamen</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:subject>Urban green system</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>Unmanned aerial vehicles (UAV)</dc:subject>
          <dc:subject>phytosanitary status</dc:subject>
          <dc:source>One Ecosystem 3: e21610</dc:source>
          <dc:description>The knowledge about urban green infrastructure (UGI) is important for maintaining the quality of life in cities, suburbs and the fringes of metropolitan areas. The perspective of rapid urban sprawl generates the need for establishment and use of adequate systems for monitoring the condition of the urban ecosystems and green spaces. This triggers the search for a stronger link between the condition of urban green infrastructure and its capacity to supply ecosystem services (ES). In this paper are presented the results of the assessment of the health status of tree and shrub vegetation in UGI of Karlovo through an integrated application of in-situ observation and remote sensing using Unmanned Aerial Vehicle (UAV) technology. The study showed that the implementation of this flexible approach provides rapid and low-cost results, with good quality of the generated information. This makes the approach appropriate as a basis for monitoring of green systems in urbanised areas, with subsequent detailed investigation of solitary trees for cataclysms and epiphytotics of native species and rapid detection for the population of invasive insect and pathogen&#x2019;s in order to prevent their distribution in new areas.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e21610</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e21610</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/21610/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/21610/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e22831</identifier>
        <datestamp>2018-03-14</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>An operational framework for integrated Mapping and Assessment of Ecosystems and their Services (MAES)</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>integrated assessment</dc:subject>
          <dc:subject>stakeholder</dc:subject>
          <dc:subject>EU policy</dc:subject>
          <dc:source>One Ecosystem 3: e22831</dc:source>
          <dc:description>Mapping and Assessment of Ecosystems and their Services (MAES) are central to the EU Biodiversity Strategy to 2020. Action 5 of the Strategy&#x2019;s second target asks all EU member states to map and assess the state of ecosystems and their services in their national territories. Such comprehensive mapping and assessment builds on several individual tasks and their systematic integration. Therefore, an integrated and operational framework is needed, supporting and coordinating these activities. The presented framework builds on existing work done by the European Commission&#x2019;s MAES Working Group and provides a clear nine-step approach including the identification of relevant questions or themes to be addressed, identification and mapping of ecosystem types, ecosystem condition and ecosystem services, their integration and dissemination of results. This framework can be used to set-up related research and development initiatives and to guide involved scientists, decision-makers and practitioners through the different steps and related tasks of the process.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Short Communication</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e22831</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e22831</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/22831/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/22831/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24720</identifier>
        <datestamp>2018-03-16</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem services are inclusive and deliver multiple values. A comment on the concept of nature's contributions to people</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Nature's contributions to people</dc:subject>
          <dc:source>One Ecosystem 3: e24720</dc:source>
          <dc:description>A recent policy forum article in Science by D&#xED;az et al. (2018) introduces nature's contributions to people (NCP) as an innovative approach to inform policy and decision-making. According to the authors, the NCP concept extends beyond the notion of ecosystem services by incorporating a more inclusive and interdisciplinary approach. Here this claim is challenged. Based on our experiences in Europe, we argue that the science, policy and practice of ecosystem services have progressed much beyond a mere economic and ecological rationale.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Commentary</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24720</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24720</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24720/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24720/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e22509</identifier>
        <datestamp>2018-04-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-4595-4292">Lange,Sabine</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0789-0045">Kruse,Marion</dc:creator>
          <dc:creator>M&#xFC;ller,Felix</dc:creator>
          <dc:subject>Bornh&#xF6;ved Lakes District</dc:subject>
          <dc:subject>eutrophication</dc:subject>
          <dc:subject>fertiliser application</dc:subject>
          <dc:subject>nitrogen budget</dc:subject>
          <dc:subject>groundwater nitrate concentration</dc:subject>
          <dc:subject>nutrient status</dc:subject>
          <dc:subject>correlation analysis</dc:subject>
          <dc:subject>local scale</dc:subject>
          <dc:subject>regional scale</dc:subject>
          <dc:source>One Ecosystem 3: e22509</dc:source>
          <dc:description>This study deals with one of the regulating ecosystem services, nutrient regulation. In order to guarantee sustainable land management, it is of great relevance to gain spatial information on this ecosystem service. Unsustainable land management with regard to nutrient regulation may, for example, result in eutrophication which has been identified as a major threat for the environmental state of our water bodies. In the first step of research, the potential supplies and demands of/for nutrient regulation were assessed and mapped at two different spatial scales: The German federal state of Schleswig-Holstein (regional scale) and the Bornh&#xF6;ved Lakes District (local scale). The assessment was undertaken for nitrogen, as an exemplary nutrient. Subsequently, potential supply and demand, combined with the nitrate leaching potential and the groundwater nitrate concentration, were incorporated into a correlation analysis. The data was statistically analysed with varying pre-processing and spatial resolutions. The statistical analysis reveals that large scale data with low resolution leads to more uncertain results. Decreasing the spatial scale and increasing the resolution of the data through a spatially more explicit assessment, leads to more explicit results. It is striking that the study reveals a spatial mismatch between the potential supply and demand for the ecosystem service nutrient regulation, which denotes unsustainable land management in the study areas.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e22509</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e22509</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/22509/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/22509/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24487</identifier>
        <datestamp>2018-05-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Characterising the rural-urban gradient through the participatory mapping of ecosystem services: insights for landscape planning</dc:title>
          <dc:creator>Palomo-Campesino,Sara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-4573-5989">Palomo,Ignacio</dc:creator>
          <dc:creator>Moreno,Javier</dc:creator>
          <dc:creator>Gonz&#xE1;lez,Jos&#xE9;</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>landscape planning</dc:subject>
          <dc:subject>participatory mapping</dc:subject>
          <dc:subject>rural-urban gradient</dc:subject>
          <dc:subject>supply-demand</dc:subject>
          <dc:source>One Ecosystem 3: e24487</dc:source>
          <dc:description>The application of the ecosystem services (ES) framework in landscape planning has become particularly relevant in rural-urban gradients since it allows for the integration of the complex interactions between ES supply and demand. This framework might be a powerful tool to inform landscape planning and decision-making intended to maintain the current and future flow of ES. In this study, we developed a process of participatory mapping of ES in a rural-urban gradient in southern Spain, which comprises the Sierra Nevada mountain range, the Granada valley and the city of Granada. First, we interviewed 21 key stakeholders from different professional sectors and gradient zones. These stakeholders prioritised nine ES in terms of their importance for local human well-being and their vulnerability to current drivers of change. Then, a workshop was organised in which 23 local actors shared their experience and knowledge regarding ES in the studied landscape. Sorted into five groups (composed of stakeholders with different profiles), the participants spatially mapped the most important supply and demand areas for the nine ES previously prioritised. The results show that the city of Granada has a very high demand for ES and a very low supply, while the Sierra Nevada mountain range and the valley of Granada appear to be very important ES supply areas. According to 95% of the stakeholders that attended the workshop, participatory mapping of ES is a very important (69%) or an important (26%) methodology to elicit the views and perceptions of the population, to identify the main conflicts and potential solutions for the territory and to visualise the high dependence of urban areas on the ES provided by adjacent rural areas. Our results also highlight the importance of incorporating the analysis of ES flows to inform landscape planning at the regional scale. Participatory mapping of ES can enhance decision-making regarding the maintenance of human well-being and the sustainability of social-ecological systems.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24487</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24487</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24487/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24487/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24134</identifier>
        <datestamp>2018-05-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>May the matrix be with you! Guidelines for the application of expert-based matrix approach for ecosystem services assessment and mapping</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-2566-7827">Campagne,C. Sylvie</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4443-7434">Roche,Philip</dc:creator>
          <dc:subject>Ecosystem services mapping tool</dc:subject>
          <dc:subject>Expert elicitation</dc:subject>
          <dc:subject>matrix approach</dc:subject>
          <dc:subject>methodology</dc:subject>
          <dc:subject>scoring</dc:subject>
          <dc:subject>look-up table</dc:subject>
          <dc:source>One Ecosystem 3: e24134</dc:source>
          <dc:description>Matrices or look-up tables are increasingly popular flexible tools for ecosystem services mapping and assessment. The matrix approach links ecosystem types or land cover types to ecosystem services by providing a score for ecosystem service (ES) capacity, supply, use, demand or other concepts. Using expert elicitation enables quick and integrative ES scoring that can meet general demand for validated ES mapping and assessment at different scales. Nevertheless, guidance is needed on how to collect and integrate expert knowledge to address some of the biases and limits of the expert elicitation method. This paper aims to propose a set of guidelines to produce ES matrices based on expert knowledge. It builds on existing literature and experience acquired through the production of several ES matrices in several ES assessments carried out in France. We propose a 7-steps methodology for the expert-based matrix approach that aims to promote cogency in the method and coherency in the matrices produced. The aim here is to use collective knowledge to produce semi-quantitative estimates of ES quantities and not to analyse individual or societal preferences or importance of ES. The definition of the objectives and the preparation phase is particularly important in order to define the components of capacity to demand ES chain to be addressed. The objectives and the ES components addressed will influence the composition of the expert panel. We recommend an individual filling of an empty matrix in order to strengthen the statistical analysis of the scores' variability and the analysis of congruency between experts. Expert scoring should follow a process of discussion, information-sharing and collective appropriation of a list of ecosystem types and ES to be assessed. We suggest that the ES matrix should not only focus on ES central scores but also address the variabilities and uncertainties as part of the ES assessment. The analysis of these sources of variability allows the documentation of variations in the ES quantity but also an exploration into the lack of consensus or knowledge gaps that needs to be addressed.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24134</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24134</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24134/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24134/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24295</identifier>
        <datestamp>2018-05-09</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Data on and methodology for measurements of microclimate and matter dynamics in transition zones between forest and adjacent arable land</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5802-1432">Schmidt,Martin</dc:creator>
          <dc:creator>Lischeid,Gunnar</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7608-9097">Nendel,Claas</dc:creator>
          <dc:subject>Edge effects</dc:subject>
          <dc:subject>Ecological boundaries</dc:subject>
          <dc:subject>Matter cycling</dc:subject>
          <dc:subject>Fragmentation</dc:subject>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Carbon</dc:subject>
          <dc:subject>Nitrogen</dc:subject>
          <dc:source>One Ecosystem 3: e24295</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Data Paper (Generic)</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24295</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24295</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24295/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24295/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25309</identifier>
        <datestamp>2018-05-18</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Which questions drive the Mapping and Assessment of Ecosystems and their Services under Action 5 of the EU Biodiversity Strategy?</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator>Brown,Claire</dc:creator>
          <dc:subject>Mapping and assessment</dc:subject>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Policy questions</dc:subject>
          <dc:subject>Societal questions</dc:subject>
          <dc:subject>Business questions</dc:subject>
          <dc:subject>Management</dc:subject>
          <dc:subject>Biodiversity</dc:subject>
          <dc:source>One Ecosystem 3: e25309</dc:source>
          <dc:description>Action 5 of the European Union's Biodiversity Strategy to 2020 asks that Member States map and assess the state of ecosystems and their services in their national territory. Policymakers and stakeholders of these countries frequently ask why this work is necessary. This article shows that this question can be broken down into a number of specific questions which, in turn, bring specific requests for knowledge and guidance to the surface. This paper develops a typology of questions and identifies the following five categories: knowledge requests, policy support questions, questions on resources and responsibilities, application questions and technical and methodological guidance questions. Next, this typology of questions is framed in an adaptive policy cycle and coupled to a set of available solutions.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25309</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25309</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25309/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25309/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25508</identifier>
        <datestamp>2018-05-24</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Methodological aspects of ecosystem service valuation at the national level</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-6185-200X">Vackaru,Dava</dc:creator>
          <dc:creator>Grammatikopoulou,Ioanna</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2445-7614">Danek,Jan</dc:creator>
          <dc:creator>Lorencova,Eliska</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>Value transfer</dc:subject>
          <dc:subject>Systematic review</dc:subject>
          <dc:subject>Ecosystem classification</dc:subject>
          <dc:source>One Ecosystem 3: e25508</dc:source>
          <dc:description>Ecosystem service valuations focusing on the assessment of ecosystem service values in space and time have recently been receiving considerable attention. Ecosystem service valuation data are critical for developing national ecosystem accounts and for assessment of costs and benefits associated with national strategies and plans. In this article, we discuss selected methodological aspects of ecosystem service valuation at the national level for the Czech Republic. We present a classification of ecosystems based on CORINE Land Cover and Consolidated Layer of Ecosystems of the Czech Republic. The focal point of our article is a systematic review of ecosystem service values. A systematic review requires a standardised protocol for incorporation of valuation studies. To illustrate the proposed methodology, we conducted a search of ecosystem service valuation studies at the European level. While there is a significant number of ecosystem service valuation studies, the number of studies which could be used for an effective value transfer is limited. We discuss the limitations of the value transfer approach and suggest further steps for improving the scientific basis for national level valuations.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25508</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25508</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25508/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25508/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25470</identifier>
        <datestamp>2018-05-24</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>On the importance of a broad stakeholder network for developing a credible, salient and legitimate tiered approach for assessing ecosystem services</dc:title>
          <dc:creator>Weibel,Bettina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-7375-7739">Rabe,Sven-Erik</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8156-9503">Gr&#xEA;t-Regamey,Adrienne</dc:creator>
          <dc:subject>Operationalization</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:subject>iterative process</dc:subject>
          <dc:subject>transdisciplinary process</dc:subject>
          <dc:source>One Ecosystem 3: e25470</dc:source>
          <dc:description>As the concept of ecosystem services is being operationalised and implemented in policies, a better guidance on the selection of suitable methods for ecosystem services mapping and assessment is needed to allow more sound, transparent and comparable processes. A vast range of assessments focusing on different sets of ecosystem services at various scales is existing and the applied methods cover different disciplines from ecology to economy and social sciences. This complicates the assessment of single or bundles of ecosystem services across spatio-temporal scales and requires a broad expertise. A tiered approach for ecosystem services assessment allows selecting the appropriate application of a certain method for tackling a specific question at a given scale. In this publication, we illustrate how the EU H2020 project ESMERALDA supported the development of such a tiered approach for assessing ecosystem services. The iterative exchanges between experienced researchers and practitioners in mapping and assessing ecosystem services in various contexts allowed the co-production of an approach to guide the choice of methods. Ultimately, the proposed tiered approach will not only support communication of the ecosystem services concept, but will also reduce the tendency for selecting an unsuitable approach for solving complex problems linked to ecosystem services-based resource management.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Short Communication</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25470</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25470</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25470/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25470/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24490</identifier>
        <datestamp>2018-06-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Assessing urban recreation ecosystem services through the use of geocache visitation and preference data: a case-study from an urbanised island environment</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-2016-3937">Balzan,Mario</dc:creator>
          <dc:creator>Debono,Iain</dc:creator>
          <dc:subject>Cultural Ecosystem Services</dc:subject>
          <dc:subject>Ecosystem Service Capacity</dc:subject>
          <dc:subject>Ecosystem Service Flow</dc:subject>
          <dc:subject>Global Positioning System</dc:subject>
          <dc:subject>Green Infrastructure</dc:subject>
          <dc:subject>Urban Ecosystem Service</dc:subject>
          <dc:source>One Ecosystem 3: e24490</dc:source>
          <dc:description>Recreation is an important cultural ecosystem service and is one way in which communities experience the direct and indirect benefits arising from the experiential use of their environment. The recent rise in popularity of Global Positioning System (GPS) game applications, which combine information technology with an activity that increases mobility and encourages outdoor enjoyment, provides ecosystem service practitioners with an opportunity to make use of this georeferenced data to assess recreational ecosystem services. Geocaching is one such worldwide outdoor game. It has fixed points of incursion where people can hide and look for caches. This study explores the possibility of using geocaching data as a proxy for recreational ecosystems services in the Maltese Islands. A quantitative analysis of the georeferenced caches was used together with their visit rates and number of favourite points. This was supplemented by two questionnaires that investigated the preferences and experiences of both geocache placers (n=39) and hunters (n=21). Results show that the highest number of caches were placed and searched for in urban areas and that geocaching is strongly associated with the presence and accessibility of urban green infrastructure. The number of geocachers who stated preference for experiences in nature did not translate into high visit rates to sites of high conservation value (protected areas) but landscape value was significantly associated with recreational ecosystem services flow. The results presented here provide evidence that geocaching spatial data can act as an indicator for assessing and mapping recreational ecosystem services in urban environments and in cultural landscapes.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24490</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24490</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24490/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24490/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25428</identifier>
        <datestamp>2018-06-11</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Towards integrated mapping and assessment of ecosystems and their services in Bulgaria: The Central Balkan case study</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0732-254X">Koulov,Boian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:creator>Bratanova-Doncheva,Svetla</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4878-3051">Nikolova,Mariyana</dc:creator>
          <dc:creator>Kroumova,Julia</dc:creator>
          <dc:subject>Integrated assessment</dc:subject>
          <dc:subject>economic valuation</dc:subject>
          <dc:subject>flood regulation</dc:subject>
          <dc:subject>carbon storage</dc:subject>
          <dc:subject>ecosystem services dysergy</dc:subject>
          <dc:subject>Karlovo Municipality</dc:subject>
          <dc:subject>national park</dc:subject>
          <dc:subject>biosphere reserve</dc:subject>
          <dc:source>One Ecosystem 3: e25428</dc:source>
          <dc:description>The aim of the EU Biodiversity Strategy to 2020 isto maintain and enhance ecosystem services (ES) in Europe and requires all Member States to map and assess the state of ecosystems and their services in the respective national territories. The EU-funded project ESMERALDA analyses ES mapping and assessment methods and approaches in their biophysical, social and economical perspectives, as well as their application in different case studies. The project also aims at the development of an integrated and consistent assessment framework. In Bulgaria, methodological guides for evaluation and mapping of the services provided by the nine main types of ecosystems have been prepared together with the respective proposals for their implementation in the national assessment. The Bulgarian research team analyses and tests various aspects of ecosystem services mapping and assessment, such as alternative economic assessments, multi-criteria analyses and biophysical assessment approaches, mapping challenges and local population surveys. In this paper paper, we review the ES activities in Bulgaria and present selected mapping and assessment methods tested in the Central Balkan case study area. It provides relevant examples for the implementation of integrated mapping and assessment of ecosystem services at local and regional level, where different mapping approaches and techniques are embedded within diverse policy contexts. The main goal of the study is to investigate how the assessment results can support the integration of the ecological functions of the Central Balkan National Park with the economic opportunities that it creates for the local and regional communities. A tiered approach has been used to organise the mapping and assessment exercises in the study area, in order to meet the needs for integrated ecosystem assessment and overcome the limitations of data availability. At tier 1, the study performs identification and initial ES mapping of the whole area. At tier 2, it applies economic valuation for the Municipality of Karlovo by using statistical data and the contingent valuation method. At tier 3, the investigation applies modelling methods to assess carbon storage and flood regulation on a larger scale. The results are presented in the form of maps at all levels, which use a uniform 0 to 5 assessment scale. The integrated approach presented here ensures a clear communication of the end results to the respective decision-makers.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25428</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25428</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25428/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25428/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e27108</identifier>
        <datestamp>2018-06-11</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Revision of the Common International Classification for Ecosystem Services (CICES V5.1): A Policy Brief</dc:title>
          <dc:creator>Haines-Young,Roy</dc:creator>
          <dc:creator>Potschin-Young,Marion</dc:creator>
          <dc:subject>CICES</dc:subject>
          <dc:subject>ecosystem service classification</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>ESMERALDA</dc:subject>
          <dc:subject>KIP-INCA</dc:subject>
          <dc:source>One Ecosystem 3: e27108</dc:source>
          <dc:description>The Common International Classification of Ecosystem Services (CICES) is widely used for mapping, ecosystem assessment, and natural capital ecosystem accounting. On the basis of the experience gained in using it since the first version was published in 2013, it has been updated for version 5.1. This policy brief summarises what has been done and how the classification can be used.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Policy Brief</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e27108</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e27108</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/27108/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/27108/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e26382</identifier>
        <datestamp>2018-06-12</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping Control of Erosion Rates: Comparing Model and Monitoring Data for Croplands in Northern Germany</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-9926-8028">Steinhoff-Knopp,Bastian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:subject>regulating ecosystem service</dc:subject>
          <dc:subject>control of erosion rates</dc:subject>
          <dc:subject>biophysical method</dc:subject>
          <dc:subject>USLE</dc:subject>
          <dc:subject>soil erosion</dc:subject>
          <dc:subject>monitoring</dc:subject>
          <dc:source>One Ecosystem 3: e26382</dc:source>
          <dc:description>Control of erosion rates (CER) is a key ecosystem service for soil protection. It is mandatory for sustaining the capacity, especially of agroecosystems, to provide ecosystem services. By applying an established framework to assess soil regulating services, this study compares two approaches to assess CER provision for 466 ha of cropland in Lower Saxony (Central Northern Germany). In a "sealed modelling approach", the structural and the mitigated structural impact were modelled by applying the Universal Soil Loss Equation (USLE). The second approach uses spatially explicit long-term monitoring data on soil loss rates obtained in the investigation area as an alternative to the USLE-based modelled mitigated structural impact.
  Assuming that the monitoring data have a higher reliability than the modelled data, the comparison of both approaches demonstrated the uncertainties of the USLE-based assessment of CER. The calculated indicators based on a sound monitoring database on soil loss rates showed that, due to limitations of the USLE model, the structural impact in thalwegs has been underestimated. Incorporating models with the ability to estimate soil loss by rilling und gullying can help to overcome this uncertainty.
  The produced set of complementary large-scale CER maps enables an integrated analyses of CER. In the entire investigation area, the provision of CER regulating ecosystem services was generally high, indicating good management practices. Differences at the field scale and between the different regions can be explained by variations of the structural impact and the management practices.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e26382</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e26382</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26382/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26382/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24719</identifier>
        <datestamp>2018-06-12</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-2134-0429">Sieber,Ina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8448-7623">Borges,Paulo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:subject>Mapping and Assessment of Ecosystems and their Services</dc:subject>
          <dc:subject>European Union</dc:subject>
          <dc:subject>invasive species</dc:subject>
          <dc:subject>review study</dc:subject>
          <dc:source>One Ecosystem 3: e24719</dc:source>
          <dc:description>The obligations of the EU Biodiversity Strategy 2020 create a need for mapping and assessment of the state of biodiversity, ecosystems and their services in all European member states. Europe&#x2019;s nine Outermost Regions (ORs) and 25 Overseas Countries and Territories (OCTs) are mainly islands, scattered around the globe. These territories contain unique flora and fauna and encompass diverse ecosystems, from coral reefs to rainforests. These highly diverse ecosystems provide multiple relevant ecosystem services from local to global scale. To date, the ecosystem services concept has so far received little attention in European ORs and OCTs. Therefore, our aims were (1) to analyse the current state of ecosystem services mapping and assessment in Europe&#x2019;s overseas territories, (2) to identify knowledge gaps in the context of ecosystem service research and application and (3) to provide recommendations for future research and policy directions to fill these gaps. We conducted a systematic review of scientific literature for each of the ORs and OCTs, screening 1030 publications. The analysis resulted in 161 publications referring to ES mapping and assessment, of which most were conducted in the European Caribbean (31%) and Pacific (21%) territories. Results show that many ORs and OCTs are still blank spots in terms of ecosystem service mapping and assessment and that, despite many biodiversity studies referring to species&#x2019; abundance, little has been published on ecosystem services. Our systematic review highlights theknowledge lacking on dealing with invasive species, which pose major threats to native island biodiversity, ecosystem functions and ecosystem services. Further, it discusses knowledge gaps in (1) translation of information on island biodiversity and ecosystem functions into ES; (2) geographical coverage of mapping studies in most ORs and OCTs; (3) the lack of standardised approaches and integrated assessments to map, assess and value ecosystem services. Based on these results, future research and policy priorities could be adapted in order to focus on filling these gaps. To overcome current environmental policy challenges, it is crucial to address the ongoing decline in biodiversity, rising climatic and anthropogenic pressures on ecosystems and to maintain a sustainable ES flow to safeguard human well-being. Ultimately, ES mapping and assessment efforts will form the knowledge base for well-informed decision-making to protect Europe&#x2019;s vulnerable overseas areas.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Ecosystem Service Mapping</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24719</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24719</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24719/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24719/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25477</identifier>
        <datestamp>2018-06-25</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessing ecosystem services to support urban planning: A case study on brownfield regeneration in Trento, Italy</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-9612-4731">Cortinovis,Chiara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:subject>urban ecosystem services</dc:subject>
          <dc:subject>ecosystem service mapping and assessment</dc:subject>
          <dc:subject>brownfield regeneration</dc:subject>
          <dc:subject>planning scenarios</dc:subject>
          <dc:subject>multi-criteria analysis</dc:subject>
          <dc:source>One Ecosystem 3: e25477</dc:source>
          <dc:description>This study explores the use of ecosystem service (ES) knowledge to support urban planning in the assessment of future scenarios. The case study concerns the prioritszation of brownfield regeneration interventions in the city of Trento (Italy). Alternative planning scenarios considering the conversion of existing brownfields into new urban parks are assessed and compared. The assessment focuses on two ES of critical importance for the city, namely microclimate regulation and nature-based recreation. The benefits of the different scenarios are quantified based on the number of expected beneficiaries broken down into different vulnerability classes and then compared through a multi-criteria analysis. Three combinations of criteria and weights reflect different planning objectives and related decision-makers&#x2019; orientations about what ES and beneficiary groups should be prioritised. The application demonstrates the potential for ES assessments to support urban planning processes in the specific phase of assessment and selection of alternatives, by meeting the requirements in terms of both sensitivity to small-scale changes in land uses or management activities and capacity to capture simultaneous variations in supply and demand of multiple ES. Being coherent with socially-orientated planning objectives, indicators based on ES demand and beneficiaries can effectively convey information about ES in planning decisions. Multi-criteria analysis is an effective way to integrate multiple ES assessments with other information about costs and benefits of planning scenarios, exploring diverse stakeholder perspectives and balancing competing objectives in a rational and transparent way.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25477</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25477</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25477/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25477/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25382</identifier>
        <datestamp>2018-07-10</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Identifying representative case studies for ecosystem services mapping and assessment across Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1377-565X">Adem Esmail,Blal</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9612-4731">Cortinovis,Chiara</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>ecosystem service mapping</dc:subject>
          <dc:subject>ecosystem service mapping and assessment</dc:subject>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>EU Biodiversity Strategy</dc:subject>
          <dc:source>One Ecosystem 3: e25382</dc:source>
          <dc:description>A key task in the ESMERALDA project dealt with identifying appropriate case studies to test the 'flexible methodology' in its different stages of development. Case studies consist of working examples in which mapping and assessment of ecosystem services were applied to address specific decision-making problems. Testing is understood as an iterative process of co-learning that involves project partners and stakeholders, enabling the refinement of the 'flexible methodology' and the development of guidelines to support its application. Testing is conducted through a series of workshops in different European contexts, each addressing a different set of themes and regions.
  This paper illustrates the selection of case studies for testing the ESMERALDA 'flexible methodology' in its different stages of development. Particularly, case studies had to be selected in such a way that they are representative of: (i) the variety of existing conditions across the EU, in terms of data availability, spatial scale, levels of implementation of EU 2020 targets and expertise and experience in ES mapping and assessment; (ii) the geographical regions and biomes of the entire EU, including marine areas and the outermost regions; (iii) the variety of cross-EU themes relevant for ecosystem services, such as the Common Agricultural Policy, Green Infrastructure, Natura 2000 network, forestry strategy, water policy, energy, business and industry sectors and health; (iv) the variety of policy and planning processes that can be used to mainstream ecosystem services in real-life decisions, such as spatial and land use planning, water resource management, flooding under the EU climate adaptation action, energy policy, strategic environmental assessment, protected area planning.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25382</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25382</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25382/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25382/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e26719</identifier>
        <datestamp>2018-07-12</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Creating an operational database for Ecosystems Services Mapping and Assessment Methods</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator>Viinikka,Arto</dc:creator>
          <dc:creator>Mononen,Laura</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5862-4030">M Brander,Luke</dc:creator>
          <dc:creator>Vihervaara,Petteri</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator>Potschin-Young,Marion</dc:creator>
          <dc:subject>Methods classification</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>biophysical</dc:subject>
          <dc:subject>social</dc:subject>
          <dc:subject>economic</dc:subject>
          <dc:subject>Europe</dc:subject>
          <dc:source>One Ecosystem 3: e26719</dc:source>
          <dc:description>Identifying and applying the appropriate method for ecosystem services mapping and assessment is not trivial. To provide guidance in this task, this paper describes the creation of a database for existing studies on mapping and assessing ecosystems and their services, which records relevant information to the ecosystem studies (e.g. methods used, the scale, ecosystem type, ecosystem service categories) and other relevant attributes that need to be considered. This database, therefore, forms the basis for an online ecosystem service &#x2018;methods finder&#x2019;. Our results provide an overview of the database itself (883 entries until April 2018) and the consultation within the ESMERALDA consortium that shaped its development, as well as providing an overview of the final mapping and assessment methods describing their spatial distribution. This work helps identify the main gaps and opportunities for alignment and development of commonalities in analytical approach amongst the individual Member States. The results illustrate the different conditions, dimensions and geographical contexts in Europe, information that can be used as background to help the development of a flexible methodology for mapping and assessing ecosystem services in Europe. The paper concludes with a discussion on how the typology of methods can be used in initiatives that aim to integrate ecosystems and their services in decision-making and planning. This work highlights some challenges for future activities on mapping and assessment of ecosystem services in the EU.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e26719</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e26719</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26719/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26719/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25494</identifier>
        <datestamp>2018-08-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>National scale mapping of ecosystem services in Israel &#x2013; genetic resources, pollination and cultural services</dc:title>
          <dc:creator>Lotan,Alon</dc:creator>
          <dc:creator>Kost,Reuven</dc:creator>
          <dc:creator>Mandelik,Yael</dc:creator>
          <dc:creator>Peled,Yoav</dc:creator>
          <dc:creator>Chakuki,David</dc:creator>
          <dc:creator>Zemah-Shamir,Shiri</dc:creator>
          <dc:creator>Ram,Yael</dc:creator>
          <dc:subject>Ecosystem services mapping</dc:subject>
          <dc:subject>national ecosystem assessment</dc:subject>
          <dc:subject>crop wild relatives</dc:subject>
          <dc:subject>wild bees</dc:subject>
          <dc:subject>cultural ecosystem services</dc:subject>
          <dc:subject>recreation</dc:subject>
          <dc:subject>geotagged photos</dc:subject>
          <dc:subject>ESMERALDA</dc:subject>
          <dc:source>One Ecosystem 3: e25494</dc:source>
          <dc:description>The Israel - National Ecosystem Assessment (I-NEA) project aims to present a comprehensive picture of the state and trends of Israel's ecosystem services across all ecosystems, by integrating existing data and information collected from a wide range of sources. Although there is a lack of information about the spatial distribution of ecosystem services&#x2019; provisioning in Israel, their mapping constitutes an important part of the assessment.
  In this paper, we present a national-scale mapping of three ecosystem services, each of them implemented using different methods: 1) Genetic resources service, mapped using spatial observations of the Crop Wild Relatives species; 2) potential of pollination service, which is provided by wild bees, mapped using an expert-based habitat model related to land use and land cover; and 3) cultural service of recreation, mapped by analysing the distribution of geotagged digital photographs uploaded to social media resources. The derived maps visualise, for the first time in Israel, the spatially distributed values of the three ecosystem services. Supply hotspots with high values for all three services were identified, as well as spatial differences amongst the ecosystem services. These national-scale maps provide overlooked insights and can be very useful for strategic discussions of stakeholders and decision-makers but should be regarded with caution given existing knowledge gaps and possible inaccuracies due to data scarcity and low resolution.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Ecosystem Service Mapping</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25494</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25494</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25494/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25494/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25499</identifier>
        <datestamp>2018-08-10</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessment of cultural ecosystem services of Latvian coastal areas</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-1580-8304">Ruskule,Anda</dc:creator>
          <dc:creator>Klepers,Andris</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5497-3030">Veidemane,Kristina</dc:creator>
          <dc:subject>Cultural ecosystem services</dc:subject>
          <dc:subject>mapping and assessment</dc:subject>
          <dc:subject>maritime spatial planning</dc:subject>
          <dc:subject>tourism potential</dc:subject>
          <dc:subject>multi-criteria analysis</dc:subject>
          <dc:source>One Ecosystem 3: e25499</dc:source>
          <dc:description>Mapping of cultural ecosystem services (CES) in marine and coastal areas is still recognised as a conceptually and technically challenging task, due to the difficulties in establishing a link between the biophysical features of the coastal ecosystem and the supply of services such as recreation and tourism, bird watching and enjoyment of other assets of nature. This was also one of the major challenges in ecosystem service mapping for the Maritime Spatial Plan for Internal Waters, Territorial Waters and Economic Exclusive Zone of the Republic of Latvia. Suitability of the coastal areas for marine tourism and leisure activities was chosen as an indicator to map the CES &#x2013; physical and experiential interactions. The method involved the compilation of field data from a survey of visitors at the beach and on coastal infrastructure, serving as the input for the multi-criteria assessment of CES. Four criteria were applied to assess the suitability of the coastal areas for marine tourism and leisure activities: i) accessibility; ii) proximity to densely populated areas; iii) suitability of the area for a particular (niche) tourism or leisure activity; and iv) recreational use. The selected criteria provide an overall assessment framework, which integrates the ecosystem service potential, benefiting areas, flow and demand aspects. The CES mapping and assessment results were applied to the maritime spatial planning for proposing areas of priority for tourism development, as well as assessing the impacts of the proposed solutions for other uses of the sea. The Latvian approach for mapping of the cultural services in coastal areas was selected as the ESMERALDA case study and examined at the stakeholder workshop in Prague, September 2016.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25499</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25499</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25499/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25499/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25380</identifier>
        <datestamp>2018-08-17</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A multitiered approach for grassland ecosystem services mapping and assessment: The Viva Grass tool</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7777-6577">Villoslada,Miguel</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5760-8058">Vinogradovs,Ivo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1580-8304">Ruskule,Anda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5497-3030">Veidemane,Kristina</dc:creator>
          <dc:creator>Nikodemus,Olgerts</dc:creator>
          <dc:creator id="https://orcid.org/https://orcid.org/0000-0003-3692-1621">Kasparinskis,Raimonds</dc:creator>
          <dc:creator>Sepp,Kalev</dc:creator>
          <dc:creator>Gulbinas,Justas</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>grasslands</dc:subject>
          <dc:subject>tiered approach</dc:subject>
          <dc:subject>integrated planning</dc:subject>
          <dc:source>One Ecosystem 3: e25380</dc:source>
          <dc:description>Throughout the second half of the 20th Century, the area of semi-natural grasslands in the Baltic States decreased substantially, due to agricultural abandonment in some areas and intensification in more productive soil types. In order to halt the loss of biodiversity and ecosystem services provided by grasslands, the LIFE+ programme funded project, LIFE Viva Grass, aims at developing an integrated planning tool that will support ecosystem-based planning and sustainable grassland management. LIFE Viva Grass integrated planning tool is spatially explicit and allows the user to assess the provision and trade-offs of grassland ecosystem services within eight project case study areas in Estonia, Latvia and Lithuania.
  In order to ensure methodological adaptability, the structure of the LIFE Viva Grass integrated planning tool follows the framework of the tiered approach. In a multi-tier system, each consecutive tier entails an increase in data requirements, methodological complexity or both. The present paper outlines the adaptation of the tiered approach for mapping and assessing ecosystem services provided by grasslands in the Baltic States. The first tier corresponds to a deliberative decision process: The matrix approach is used to assess the potential supply of grassland ecosystem services based on expert estimations. Expert values are subsequently transferred to grassland units and therefore made spatially explicit. The data collected in the first tier was further enhanced through a Principal Components Analysis (PCA) in order to explore ES bundles in tier 2. In the third tier, Multi-Criteria Decision Analysis is used to target specific policy questions.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25380</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25380</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25380/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25380/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e27110</identifier>
        <datestamp>2018-08-17</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Glossary of ecosystem services mapping and assessment terminology</dc:title>
          <dc:creator>Potschin-Young,Marion</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:subject>Ecosystems</dc:subject>
          <dc:subject>Ecosystem Services</dc:subject>
          <dc:subject>Mapping</dc:subject>
          <dc:subject>Assessment</dc:subject>
          <dc:subject>Terminology</dc:subject>
          <dc:subject>ESMERALDA</dc:subject>
          <dc:subject>OpenNESS</dc:subject>
          <dc:subject>EU Biodiversity Strategy</dc:subject>
          <dc:source>One Ecosystem 3: e27110</dc:source>
          <dc:description>Mapping and assessment of ecosystems and their services (MAES) is a key EU initiative to synthesise vital environmental information and facilitate balanced policy decisions. As MAES integrates across many scientific and policy domains, the development of a common language and shared concepts is essential. Here we present a comprehensive MAES Glossary that was compiled in the ESMERALDA project; it is based on the integration of several previous glossaries and a wide-ranging consultation process. While there are several ecosystem services glossaries available from EU supported work such as Oppla, OpenNESS and ecosystem services related handbooks, the new material presented here focuses on mapping and assessment of ecosystem services and therefore more directly supports the MAES process.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e27110</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e27110</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/27110/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/27110/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e24880</identifier>
        <datestamp>2018-08-20</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A new method for fine-scale assessments of the average urban Heat island over large areas and the effectiveness of nature-based solutions</dc:title>
          <dc:creator>Lauwaet,Dirk</dc:creator>
          <dc:creator>De NIjs,Ton</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator>Hooyberghs,Hans</dc:creator>
          <dc:creator>Verachtert,Els</dc:creator>
          <dc:creator>Lefebvre,Wouter</dc:creator>
          <dc:creator>De Ridder,Koen</dc:creator>
          <dc:creator>Remme,Roy</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0036-386X">Broekx,Steven</dc:creator>
          <dc:subject>Urban Heat Island</dc:subject>
          <dc:subject>Netherlands</dc:subject>
          <dc:subject>nature-based solutions</dc:subject>
          <dc:subject>UrbClim model</dc:subject>
          <dc:subject>Ecosystem services mapping</dc:subject>
          <dc:source>One Ecosystem 3: e24880</dc:source>
          <dc:description>People living in cities experience extra heat stress due to the so-called Urban Heat Island (UHI) effect. To gain an&#xA0;insight into the spatial variability of the UHI for the Netherlands, a detailed map (10 m horizontal resolution) has been calculated that shows the summer-averaged daily maximal UHI situation. The map is based on a relationship between the UHI, mean wind speed at 10 m height and the number of people living within a distance of 10 km, derived from simulations of over 100 European cities with the extensively validated urban climate model UrbClim. The cooling effect of green and blue infrastructure is also taken into account in the map, based on these simulation results. The presented map will help local authorities in defining target areas for climate adaptation measures and estimate the impact of nature-based solutions.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e24880</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e24880</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24880/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/24880/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e26722</identifier>
        <datestamp>2018-08-27</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Economic valuation and mapping of Ecosystem Services in the context of protected area management (Natural Park of Serra de S&#xE3;o Mamede, Portugal)</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-3081-7807">Marta Pedroso,Cristina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4178-4537">Laporta,Lia</dc:creator>
          <dc:creator>Gama,Ivo</dc:creator>
          <dc:creator>Domingos,Tiago</dc:creator>
          <dc:subject>Protected areas</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>economic valuation</dc:subject>
          <dc:subject>spatial assessment</dc:subject>
          <dc:source>One Ecosystem 3: e26722</dc:source>
          <dc:description>Demonstrating economic benefits generated by protected areas is often pointed out as pivotal for supporting decision-making. We argue in this paper that the concept of ecosystem services (ES), defined as the benefits humans derive from ecosystems, provides a consistent framework to approach this issue as it links ecosystem functioning and benefits, including benefits with economic value. This study aimed at providing evidence on how to bring the economic value of protected areas to the decision-making process and contributing to extend current EU Member States' experience in mapping and assessing the economic value of ES in the context of the EU Biodiversity Strategy to 2020 (Action 5). In doing so, we used the Natural Park of Serra de S. Mamede (PNSSM), located in the Alentejo NUTS II region, as a case study. We followed a three-step approach to pursue our goals, entailing stakeholders' engagement for selecting relevant ES (through a participatory workshop), biophysical mapping of ES flows (based on a multi-tiered approach depending on data availability) and spatial economic estimation of such flows (using value transfer, willingness-to-pay and market price methods). Our results indicate that the ES with highest economic value are not always the ones with higher perceived value by stakeholders. For most ES, the economic value increased with increasing protection level within the park, except for the crop production service. Although no formal uncertainty or sensitivity analysis has been performed, the following range is based on a critical assessment of non-primary data used. We estimated the aggregate annual value of PNSSM to be 11 to 33M&#x20AC;/year (representing 0.1 to 0.3% of the regional NUTSII Alentejo Gross Domestic Product). Our findings reinforce the need to adopt mixes of monetary and non-monetary valuation processes and not to rely just on one approach or measure of value while bringing ES into protected areas management.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e26722</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e26722</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26722/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26722/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e26363</identifier>
        <datestamp>2018-08-31</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>How to design a transdisciplinary regional ecosystem service assessment: a case study from Romania, Eastern Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator>Kal&#xF3;czkai,&#xC1;gnes</dc:creator>
          <dc:creator>Arany,Ildik&#xF3;</dc:creator>
          <dc:creator>Kelemen,Katalin</dc:creator>
          <dc:creator>Papp,Judith</dc:creator>
          <dc:creator>Havadt&#x151;i,Krisztina</dc:creator>
          <dc:creator>Campbell,Krisztina</dc:creator>
          <dc:creator>Kelemen,M&#xE1;rton</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5285-847X">V&#xE1;ri,&#xC1;gnes</dc:creator>
          <dc:subject>MAES</dc:subject>
          <dc:subject>ecosystem assessment</dc:subject>
          <dc:subject>conceptual framework</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:subject>transdisciplinarity</dc:subject>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>participatory approach</dc:subject>
          <dc:source>One Ecosystem 3: e26363</dc:source>
          <dc:description>There is a broad diversity of concepts and methods used in ecosystem service (ES) mapping and assessment projects with many open questions related to the implementation of the concepts and the use of the methods at various scales. In this paper, we present a regional ES mapping and assessment (MAES) study performed between 2015 and 2017 over an area of ~900 km2 in Central Romania. The Niraj-MAES project supported by EEA funds and the Romanian government aimed at identifying, assessing and mapping all major ES supplied by the Natura 2000 sites nested in the valleys of the Niraj and T&#xE2;rnava Mic&#x103; rivers amongst the foothills of the Eastern Carpathians. Major ES in this culturally and ecologically rich semi-natural landscape were determined and prioritised in cooperation with local stakeholders. Indicators for the capacities of individual services were modelled with a multi-tiered methodology, relying on the involvement of regional thematic experts. ES with appropriate socio-economic data were also evaluated economically. The whole process was supervised by a stakeholder advisory board endowed with a remarkable decision-making position, giving feedback and recommendations to the scientists at the critical nodes of the process, thus ensuring salience and legitimacy. In addition to simply presenting the dry facts about the approaches (assessment targets, methods) and outcomes, we also identify several key decisions on the design of the whole assessment process related to (1) the role of conceptual frameworks, (2) stakeholder involvement, (3) the selection of ES to assess (priority setting), (4) the development of models and indicators and (5) the interpretation of outcomes, for which we give a detailed description of the decision process. We found that conceptual frameworks can have a pivotal role in structuring and facilitating communication amongst the participants of a MAES project and that a broad and structured involvement of stakeholders and (local) experts creates a sense of ownership and thus can facilitate local policy uptake. We argue that priority setting and the development of indicators should be an iterative process and we also give an example how such a process can be designed, enabling an efficient participation of a broad range of experts and the collaborative development of simple ES models and indicators. Finally, we discuss several general issues related to the interpretation of results of any kind of MAES and the follow-up of regional MAES projects.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Ecosystem Service Mapping</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e26363</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e26363</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26363/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26363/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e29153</identifier>
        <datestamp>2018-09-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessing ecosystem services in the EU - Lessons learned from the ESMERALDA approach of integration</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator>Potschin-Young,Marion</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5702-5677">Stoev,Pavel</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1672-6087">Kopperoinen,Leena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3056-8444">Adamescu,Cristian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1377-565X">Adem Esmail,Blal</dc:creator>
          <dc:creator>Arany,Ildik&#xF3;</dc:creator>
          <dc:creator>Arnell,Andy</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2016-3937">Balzan,Mario</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6501-9381">Barton,David N.</dc:creator>
          <dc:creator>van Beukering,Pieter</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-4595-4292">Lange,Sabine</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8448-7623">Borges,Paulo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator>Braat,Leon</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5862-4030">M Brander,Luke</dc:creator>
          <dc:creator>Bratanova-Doncheva,Svetla</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0036-386X">Broekx,Steven</dc:creator>
          <dc:creator>Brown,Claire</dc:creator>
          <dc:creator>Cazacu,Constantin</dc:creator>
          <dc:creator>Crossman,Neville</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2445-7614">Danek,Jan</dc:creator>
          <dc:creator>Groot,Rudolf de</dc:creator>
          <dc:creator>Depellegrin,Daniel</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0699-9954">Dimopoulos,Panayotis</dc:creator>
          <dc:creator>Elvinger,Nora</dc:creator>
          <dc:creator>Erhard,Markus</dc:creator>
          <dc:creator>Fagerholm,Nora</dc:creator>
          <dc:creator>Fr&#xE9;lichov&#xE1;,Jana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8156-9503">Gr&#xEA;t-Regamey,Adrienne</dc:creator>
          <dc:creator>Grudova,Margarita</dc:creator>
          <dc:creator>Haines-Young,Roy</dc:creator>
          <dc:creator>Inghe,Ola</dc:creator>
          <dc:creator>Kallay,Tamas</dc:creator>
          <dc:creator>Kirin,Tamara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0545-9721">Klug,Hermann</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0647-3445">Kokkoris,Ioannis</dc:creator>
          <dc:creator>Konovska,Iskra</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0789-0045">Kruse,Marion</dc:creator>
          <dc:creator>Demirova,Iliyana</dc:creator>
          <dc:creator>Lange,Manfred</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator>Lotan,Alon</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5964-2724">Lowicki,Damian</dc:creator>
          <dc:creator>Luque,Sandra</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3081-7807">Marta Pedroso,Cristina</dc:creator>
          <dc:creator>Mizgajski,Andrzej</dc:creator>
          <dc:creator>Mononen,Laura</dc:creator>
          <dc:creator>Mulder,Sara</dc:creator>
          <dc:creator>M&#xFC;ller,Felix</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator>Nikolova,Mariana</dc:creator>
          <dc:creator>&#xD6;sterg&#xE5;rd,Hannah</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2186-5033">Penev,Lyubomir</dc:creator>
          <dc:creator>Pereira,Paulo</dc:creator>
          <dc:creator>Pitk&#xE4;nen,Kati</dc:creator>
          <dc:creator>Plieninger,Tobias</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-7375-7739">Rabe,Sven-Erik</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5574-2453">Reichel,Steffen</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4443-7434">Roche,Philip</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3769-8345">Rusch,Graciela</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1580-8304">Ruskule,Anda</dc:creator>
          <dc:creator>Sapundzhieva,Anna</dc:creator>
          <dc:creator>Sepp,Kalev</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2134-0429">Sieber,Ina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5445-0865">&#x160;mid Hribar,Mateja</dc:creator>
          <dc:creator>Sta&#x161;ov&#xE1;,Simona</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9926-8028">Steinhoff-Knopp,Bastian</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1052-648X">St&#x119;pniewska,Ma&#x142;gorzata</dc:creator>
          <dc:creator>Teller,Anne</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6185-200X">Vackaru,Dava</dc:creator>
          <dc:creator>van Weelden,Martine</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5497-3030">Veidemane,Kristina</dc:creator>
          <dc:creator>Vejre,Henrik</dc:creator>
          <dc:creator>Vihervaara,Petteri</dc:creator>
          <dc:creator>Viinikka,Arto</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7777-6577">Villoslada,Miguel</dc:creator>
          <dc:creator>Weibel,Bettina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9951-6765">Zulian,Grazia</dc:creator>
          <dc:subject>EU Biodiversity Strategy to 2020</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:subject>assessment</dc:subject>
          <dc:subject>project</dc:subject>
          <dc:source>One Ecosystem 3: e29153</dc:source>
          <dc:description>The European Union (EU) Horizon 2020 Coordination and Support Action ESMERALDA aimed at developing guidance and a flexible methodology for Mapping and Assessment of Ecosystems and their Services (MAES) to support the EU member states in the implementation of the EU Biodiversity Strategy&#x2019;s Target 2 Action 5. ESMERALDA&#x2019;s key tasks included network creation, stakeholder engagement, enhancing ecosystem services mapping and assessment methods across various spatial scales and value domains, work in case studies and support of EU member states in MAES implementation. Thus ESMERALDA aimed at integrating various project outcomes around four major strands: i) Networking, ii) Policy, iii) Research and iv) Application. The objective was to provide guidance for integrated ecosystem service mapping and assessment that can be used for sustainable decision-making in policy, business, society, practice and science at EU, national and regional levels. This article presents the overall ESMERALDA approach of integrating the above-mentioned project components and outcomes and provides an overview of how the enhanced methods were applied and how they can be used to support MAES implementation in the EU member states. Experiences with implementing such a large pan-European Coordination and Support Action in the context of EU policy are discussed and recommendations for future actions are given.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Short Communication</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e29153</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e29153</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29153/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29153/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e28143</identifier>
        <datestamp>2018-09-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Distribution of bumblebees across Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-7065-8647">Polce,Chiara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2046-0621">ROTLLAN-PUIG,Xavier</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8880-1838">Michez,Denis</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4635-6793">Castro,Leopoldo</dc:creator>
          <dc:creator>Cederberg,Bj&#xF6;rn</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-4712-3679">Dvo&#x159;&#xE1;k,Libor</dc:creator>
          <dc:creator>Fitzpatrick,&#xDA;na</dc:creator>
          <dc:creator>Francis,Fr&#xE9;d&#xE9;ric</dc:creator>
          <dc:creator>Neumayer,Johann</dc:creator>
          <dc:creator>Manino,Aulo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8587-3035">Paukkunen,Juho</dc:creator>
          <dc:creator>Pawlikowski,Tadeusz</dc:creator>
          <dc:creator>Roberts,Stuart</dc:creator>
          <dc:creator>Straka,Jakub</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0891-2189">Rasmont,Pierre</dc:creator>
          <dc:subject>Bombus</dc:subject>
          <dc:subject>insect pollinators</dc:subject>
          <dc:subject>species distribution model</dc:subject>
          <dc:subject>Maxent</dc:subject>
          <dc:subject>Europe</dc:subject>
          <dc:source>One Ecosystem 3: e28143</dc:source>
          <dc:description>Insect pollinators are a key component of biodiversity; they also play a major role in the reproduction of many species of wild plants and crops.
  It is widely acknowledged that insect pollinators are threatened by many environmental pressures, mostly of anthropogenic nature. Their decline is a global phenomenon. A better understanding of their distribution can help their monitoring and ultimately facilitate conservation actions.
  Since we only have partial knowledge of where pollinator species occur, the possibility to predict suitable environmental conditions from scattered species records can facilitate not only species monitoring, but also the identification of areas potentially vulnerable to pollinators decline.
  This data paper contains the predicted distribution of 47 species of bumblebees across the 28 Member States of the European Union (EU-28). Amongst the wild pollinators, bumblebees are one of the major groups contributing to the production of many crop species, hence their decline in Europe, North America and Asia can potentially threaten food security.
  Predictions were derived from distribution models, using species records with a spatial resolution of 10 km accessed from a central repository. Predictions were based on records from 1991 to 2012 and on a series of spatial environmental predictors from three main thematic areas: land use and land cover, climate and topography.
  These distributions were used to estimate the value of pollination as an ecosystem service. In light of the recent European Pollinators Initiative, this paper provides valuable information for a better understanding of where wild pollinators occur and it should be extended to other pollinator species.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Data Paper (Generic)</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e28143</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e28143</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/28143/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/28143/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e29288</identifier>
        <datestamp>2018-10-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessment of ecosystem condition and ecosystem services across different scales and domains in Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator>Bratanova-Doncheva,Svetla</dc:creator>
          <dc:subject>Assessment frameworks</dc:subject>
          <dc:subject>ecosystems</dc:subject>
          <dc:subject>biophysical</dc:subject>
          <dc:subject>socio-cultural</dc:subject>
          <dc:subject>economic</dc:subject>
          <dc:subject>ESP SEE</dc:subject>
          <dc:source>One Ecosystem 3: e29288</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Editorial</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e29288</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e29288</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29288/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29288/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25434</identifier>
        <datestamp>2018-10-05</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>National scale ecosystem condition assessment with emphasis on forest types in Greece</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0647-3445">Kokkoris,Ioannis</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0699-9954">Dimopoulos,Panayotis</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3318-2686">Xystrakis,Fotios</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9373-676X">Tsiripidis,Ioannis</dc:creator>
          <dc:subject>conservation degree</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>ESMERALDA</dc:subject>
          <dc:subject>habitat types monitoring</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>Natura 2000</dc:subject>
          <dc:subject>pressures</dc:subject>
          <dc:subject>typical species richness</dc:subject>
          <dc:source>One Ecosystem 3: e25434</dc:source>
          <dc:description>This study presents a first, national scale approach on ecosystem condition assessment for Greece, through integrating the available surveillance and monitoring data for habitat types, at the plot level, within the Natura 2000 network. The study consists of two parts: (a) ecosystem condition assessment for ecosystem types in Greece, using the conservation degree at plot level as an indicator and (b) a large scale analysis of the forest types' condition using, as indicators, the pressures and typical plant species richness, as an exemplary case to interpret the outcomes of the assessment. The main results of this study revealed that: (i) the majority of the ecosystem types are in above good condition, with the higher percentages of bad condition recorded for wetlands, rivers and lakes, marine inlets and transitional waters, (ii) forest categories in their majority are at above-adequate condition, (iii) at forest ecosystem categories specific pressures (e.g. grazing, cultivations, forestry clearance) act as main drivers forecosystem condition change, (iv) Mediterranean deciduous forests are the most floristic-rich forest category, regarding typical plant species. Simultaneously, it is highlighted that already available datasets could be used for immediate and rapid framework assessments, which will guide future steps on ES studies, research and decision-making.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25434</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25434</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25434/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25434/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25542</identifier>
        <datestamp>2018-10-15</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>An online method database for mapping and assessing ecosystem services</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5574-2453">Reichel,Steffen</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0545-9721">Klug,Hermann</dc:creator>
          <dc:subject>MAES</dc:subject>
          <dc:subject>methods</dc:subject>
          <dc:subject>case studies</dc:subject>
          <dc:subject>policy questions</dc:subject>
          <dc:subject>business questions</dc:subject>
          <dc:source>One Ecosystem 3: e25542</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/642007</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Software Description</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25542</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25542</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25542/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25542/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e29306</identifier>
        <datestamp>2018-10-19</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A critical review of ecosystem accounting and services frameworks</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-5634-2294">Bordt,Michael</dc:creator>
          <dc:creator>Saner,Marc</dc:creator>
          <dc:subject>Classification</dc:subject>
          <dc:subject>Convergence</dc:subject>
          <dc:subject>Critical natural capital</dc:subject>
          <dc:subject>Environmental accounting</dc:subject>
          <dc:subject>Environmental policy</dc:subject>
          <dc:subject>Frameworks</dc:subject>
          <dc:source>One Ecosystem 3: e29306</dc:source>
          <dc:description>Ecological economists currently face an important opportunity to influence national policies and global awareness regarding ecosystems. Ecosystem services (ES) frameworks, including the Intergovernmental Panel on Biodiversity and Ecosystem Services (IPBES) and the System of Environmental Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) will influence how national measurement systems integrate the value of ecosystems and their services into national planning and monitoring progress towards the Sustainable Development Goals (SDGs). Decision-makers are, however, faced with an embarrassment of riches. There is a multitude of ES frameworks, but no formal and integrative evaluation of the entire set exists. We review the IPBES, the SEEA EEA and 14 other ES frameworks using criteria designed to address operational and convergence considerations for national ecosystem accounting. While the frameworks reviewed incorporate many strengths, none fulfils all the criteria of a comprehensive national ecosystem accounting framework. We conclude with suggestions for conceptual, measurement and process developments to broaden the appeal, utility and acceptance of future frameworks. Considering these suggestions could substantially contribute to the development of ecosystem accounting frameworks that foster a constructive dialogue amongst the many disciplines, national contexts and viewpoints involved in understanding, measuring and making decisions about ecosystems.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e29306</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e29306</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29306/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/29306/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.3.e25482</identifier>
        <datestamp>2018-11-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A Conceptual Framework for Integrated Ecosystem Assessment</dc:title>
          <dc:creator>Brown,Claire</dc:creator>
          <dc:creator>Burns,Abigail</dc:creator>
          <dc:creator>Arnell,Andy</dc:creator>
          <dc:source>One Ecosystem 3: e25482</dc:source>
          <dc:description>This short communication presents an ecosystem assessment framework developed within ESMERALDA; a Horizon2020-funded EU project aimed at delivering a &#x2018;flexible methodology&#x2019; to assist towards pan-European and regional Mapping and Assessment of Ecosystem Services (MAES).
  The framework we present is closely aligned with assessment frameworks developed within the MAES (2014) and Millennium Ecosystem Assessment (2010) initiatives. Mapping, fundamental to the work of MAES as well as ESMERALDA, is placed at the heart of a wider suite of activities carried out within ecosystem assessment. This enables flexibility in where and how integration takes place. Beyond the biophysical parameters at the core of the framework, emphasis is given to the inclusion of social and economic factors to ensure policy relevance.
  Consultation, both internal to the ESMERALDA Consortium and external - amongst those already conducting ecosystem assessments across Europe - helped guide the development of the framework. Online consultation will provide information about the development of guidance around the framework and initiate the collation of good practice examples. The framework and accompanying guidance will contribute towards a final guidance tool due at the end of the ESMERALDA project lifetime.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2018</dc:date>
          <dc:type>Short Communication</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.3.e25482</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.3.e25482</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25482/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/25482/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e28720</identifier>
        <datestamp>2019-01-31</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Uncertainty in ecosystem services maps: the case of carbon stocks in the Brazilian Amazon forest using regression analysis</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7886-2899">Le Clec'h,Solen</dc:creator>
          <dc:creator>Dufour,Simon</dc:creator>
          <dc:creator>Bucheli,Janic</dc:creator>
          <dc:creator>Grimaldi,Michel</dc:creator>
          <dc:creator>Huber,Robert</dc:creator>
          <dc:creator>Miranda,Izildinha</dc:creator>
          <dc:creator>Mitja,Danielle</dc:creator>
          <dc:creator>Silva Costa,Luiz</dc:creator>
          <dc:creator>Oszwald,Johan</dc:creator>
          <dc:subject>Deforestation</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>prediction intervals</dc:subject>
          <dc:subject>reliability</dc:subject>
          <dc:subject>statistical modelling</dc:subject>
          <dc:subject>variability</dc:subject>
          <dc:source>One Ecosystem 4: e28720</dc:source>
          <dc:description>Ecosystem Service (ES) mapping has become a key tool in scientific assessments of human-nature interactions and is being increasingly used in environmental planning and policy-making. However, the associated epistemic uncertainty underlying these maps often is not systematically considered. This paper proposes a basic procedure to present areas with lower statistical reliability in a map of an ES indicator, the vegetation carbon stock, when extrapolating field data to larger case study regions. To illustrate our approach, we use regression analyses to model the spatial distribution of vegetation carbon stock in the Brazilian Amazon forest in the State of Par&#xE1;. In our analysis, we used field data measurements for the carbon stock in three study sites as the response variable and various land characteristics derived from remote sensing as explanatory variables for the ES indicator. We performed regression methods to map the carbon stocks and calculated three indicators of reliability: RMSE-Root-mean-square-error, R2-coefficient of determination - from an out-of-sample validation and prediction intervals. We obtained a map of carbon stocks and made explicit its associated uncertainty using a general indicator of reliability and a map presenting the areas where our prediction is the most uncertain. Finally, we highlighted the role of environmental factors on the range of uncertainty. The results have two implications. (1) Mapping prediction interval indicates areas where the map's reliability is the highest. This information increases the usefulness of ES maps in environmental planning and governance. (2) In the case of the studied indicator, the reliability of our prediction is very dependent on land cover type, on the site location and its biophysical, socioeconomic and political characteristics. A better understanding of the relationship between carbon stock and land-use classes would increase the reliability of the maps. Results of our analysis help to direct future research and fieldwork and to prevent decision-making based on unreliable maps.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e28720</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e28720</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/28720/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/28720/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e31420</identifier>
        <datestamp>2019-02-28</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Which ecosystems provide which services? A meta-analysis of nine selected ecosystem services assessments</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-5634-2294">Bordt,Michael</dc:creator>
          <dc:creator>Saner,Marc</dc:creator>
          <dc:subject>Classification</dc:subject>
          <dc:subject>Convergence</dc:subject>
          <dc:subject>Environmental accounting</dc:subject>
          <dc:subject>Environmental policy</dc:subject>
          <dc:subject>Frameworks</dc:subject>
          <dc:source>One Ecosystem 4: e31420</dc:source>
          <dc:description>For ecosystem measurement frameworks to be accepted, operationalised and implemented by diverse international communities, clear and agreeable concepts and classifications are essential. This paper analyses and develops two foundational typology challenges within ecosystem measurement: the classification of ecosystems and the classification of their services. Our aim is to determine if there is sufficient consensus to ascertain &#x201C;Which ecosystems provide which services?&#x201D; for standardised ecosystem accounting.
  This paper first compares classifications used in nine selected ecosystem assessments as input studies that make value statements about multiple ecosystems providing multiple ecosystem services. Given that these nine studies do not use identical concepts, classifications and terminologies, we develop &#x201C;supersets&#x201D; that can accommodate the diversity of classifications used in these input studies. Each input study is then corresponded to these new supersets.
  On the basis of this analysis, substantial consensus was found that some ecosystems are more likely to provide certain services than others are. However, for several ecosystem types, there was little or no consensus on which services they provide. Linkages for which there is consensus can serve as a checklist for future ecosystem services assessments. Both the framework of the supersets and the correspondence and visual methods developed will be useful for integrating information at different scales (for example, linkages from local, ecosystem-specific and ecosystem services-specific studies). This paper also provides guidance to future ecosystem services assessments to use, test and extend the current classifications of ecosystems and ecosystem services.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e31420</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e31420</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/31420/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/31420/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e33368</identifier>
        <datestamp>2019-03-27</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Influence of cultural contexts on the appreciation of different cultural ecosystem services based on social network analysis</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-7233-4865">Kilonzi,Francisca  Mutwa</dc:creator>
          <dc:creator>Ota,Takahiro</dc:creator>
          <dc:subject>Social network analysis</dc:subject>
          <dc:subject>cultural ecosystem services</dc:subject>
          <dc:subject>cultural contexts</dc:subject>
          <dc:subject>IPBES</dc:subject>
          <dc:source>One Ecosystem 4: e33368</dc:source>
          <dc:description>Since the Millennium Ecosystem Assessment, ecosystem science domain has made tremendous progress in the study of ecosystem services, but debates on neglected cultural ecosystem services (CES) have persisted. A recent approach established by the Intergovernmental Panel for Biodiversity and Ecosystem Services (IPBES) identifies and advocates incorporation of the CES through the role of local knowledge across other ecosystem services. However, approaches and tools that enable engagement of CES are limited. In this study, we examine how cultural contexts influence the appreciation of different CES, by identifying the behavioural aspects and the indigenous knowledge that has evolved on the basis of Social Network Analysis (SNA). SNA measures the network of relations between people and groups developed traditionally for a long time and their relational values with natural resources and ecosystem services. Through a comprehensive literature review of scholarly research published in Scopus data base, this study explicitly illustrates the interrelationship between SNA and CES. Keywords associated with SNA and cultural ecosystem services including forests, fisheries and agriculture (farming) were used. It was found that various aspects of social network uphold relational values of cultural importance and enhance resilience in groups amidst the social changes and times as societies progress. For instance, in the case of homophily, actors who are attracted to one another chose to interact in their defined network (e.g. fishing network) forming a strong social capital. Consequently, they shared similar beliefs and values that were eventually handed to the next generation of the network which shaped their heritage and identity. Social learning networks in various communities were also found to play a key role in information exchange and knowledge sharing among members compared to information from foreign technical experts. To fully integrate CES into sustainable decision making, this review suggests incorporation of the analysis of social networks formed in different cultural contexts globally.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e33368</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e33368</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/33368/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/33368/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e26368</identifier>
        <datestamp>2019-04-18</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Methodological interlinkages for mapping ecosystem services &#x2013; from data to analysis and decision-support</dc:title>
          <dc:creator>Vihervaara,Petteri</dc:creator>
          <dc:creator>Viinikka,Arto</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5862-4030">M Brander,Luke</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator>Mononen,Laura</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>mapping</dc:subject>
          <dc:subject>ESMERALDA</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>Europe</dc:subject>
          <dc:source>One Ecosystem 4: e26368</dc:source>
          <dc:description>A broad array of methods have been developed and applied to map ecosystem services and their values at various geographic scales. For example, the ESMERALDA project developed methods for ecosystem service mapping across Europe. This paper describes how different methodological interlinkages can be used in ecosystem service mapping and assessment and how the integration of information can be facilitated to assist in decision-making processes related to sustainable use and protection of ecosystem services. This paper is based on a literature review and expert consultations throughout the project. The accumulation of knowledge in ecosystem assessment processes will be described through multiple steps: 1) data compilation, 2) analyses run via independent or linked methods applications and tools, 3) integration of information from multiple analyses and 4) finally, feeding into the decision-support frameworks. The challenges and possibilities of using combinations of various datasets and methods will be discussed. This workflow is demonstrated with real-world applications. In addition, technical pitfalls and challenges, as well as linkages to overall ecosystem assessments and policy questions, are analysed and discussed.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e26368</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e26368</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26368/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/26368/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e35904</identifier>
        <datestamp>2019-06-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessing ecosystem services: Methods and practical applications</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:source>One Ecosystem 4: e35904</dc:source>
          <dc:description/>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Editorial</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e35904</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e35904</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/35904/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/35904/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e34769</identifier>
        <datestamp>2019-06-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>The critical role of abiotic factors and human activities in the supply of ecosystem services in the ES matrix</dc:title>
          <dc:creator>Maebe,Laura</dc:creator>
          <dc:creator>Claessens,Hugues</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5664-9955">Dufr&#xEA;ne,Marc</dc:creator>
          <dc:subject>Forest management</dc:subject>
          <dc:subject>abiotic factors</dc:subject>
          <dc:subject>land sparing versus land sharing framework</dc:subject>
          <dc:subject>ecosystem services supply</dc:subject>
          <dc:subject>ecosystem services relationship</dc:subject>
          <dc:subject>ecosystem services matrix</dc:subject>
          <dc:source>One Ecosystem 4: e34769</dc:source>
          <dc:description>In Western Europe, ecosystems have been shaped to maximise the supply of one specific biomass provisioning ecosystem service (ES), such as food or timber, with detrimental impacts on other ES. The ES approach has therefore been established to better understand the multiple interactions between human society and ecosystems. A variety of methods have been developed to assess ES and their relationships, for instance the ES matrix model based on land cover classes. This popular, flexible and simple method allows combining different data sources and easily comparing ES. However, in general, this method poorly takes into account landscape heterogeneity while abiotic factors and human activities seem to play an important role in ES supply. The objective of this paper is twofold: (1) to extent the methodology based on the ES matrix model by including abiotic factors and human activities and (2) to test the impacts of these two types of factors on ES supply and their relationships.
  The assessment focused on the capacity of the forest to supply six ES depending on six types of soil ranging from productive soils to more constraining or less productive soils (i.e. abiotic factors) and two contrasting forest management strategies (i.e. human activities). This amended ES matrix was applied on one hand, to map the supply of ES and their relationships in four municipalities in the Ardenne ecoregion (Southern Belgium) and on the other hand, to investigate the impacts of three scenarios (i.e. three different management strategies) on ES supply and their relationships.
  The amended ES matrix shows large differences in ES supply between the two forest management strategies on the more constraining and less productive soils, creating differences in the spatial pattern of ES. The changes in ES supply amongst the three scenarios and the current supply were quantified to identify the best management options.
  In conclusion, one particular forest is not like another in terms of ES supply and their relationships. To capture this heterogeneity, we propose an amended ES matrix including abiotic factors and human activities. The maps, based on this matrix, allow identifying the hotspots (i.e. high capacity to supply different ES) and coldspots (i.e. low capacity to supply different ES or strong trade-offs between provisioning ES and regulating/cultural ES). Forest management should be adapted to the abiotic conditions, in particular in the coldspots, to ensure a more balanced supply of ES.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e34769</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e34769</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/34769/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/34769/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e32704</identifier>
        <datestamp>2019-06-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Indicators for mapping and assessment of ecosystem condition and of the ecosystem service habitat maintenance in support of the EU Biodiversity Strategy to 2020</dc:title>
          <dc:creator>Hatziiordanou,Lena</dc:creator>
          <dc:creator>Fitoka,Eleni</dc:creator>
          <dc:creator>Hadjicharalampous,Elena</dc:creator>
          <dc:creator>Votsi,Nefta</dc:creator>
          <dc:creator>Palaskas,Dimitris</dc:creator>
          <dc:creator>Malak,Dania</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>habitat maintenance</dc:subject>
          <dc:subject>service providing units</dc:subject>
          <dc:subject>wetlands</dc:subject>
          <dc:subject>Natura 2000</dc:subject>
          <dc:source>One Ecosystem 4: e32704</dc:source>
          <dc:description>A systematic approach to map and assess the &#x201C;maintenance of nursery populations and habitats&#x201D; ecosystem service (ES) (hereinafter called &#x201C;habitat maintenance&#x201D;) has not yet emerged. In this article, we present an ecosystem service framework implementation at landscape level, by proposing an approach for calculating and combining a series of indicators with spatial modelling techniques. Necessary conceptual elements for this approach are: a) ecosystem condition, b) supply and demand of the targeted ecosystem service and c) spatial relationships between the Service Providing Units (SPU) and the Service Connecting Units (SCU). Ecosystem condition is quantified and mapped based on two indicators, the Biodiversity State and the Anthropogenic Impact. Quantification and mapping of supply and demand are based on the hypothesis that high supply can be activated in strictly protected areas and that a demand is localised in the Natura 2000 sites (N2K), considering them as the Service Benefit Areas (SBA). Wetlands are assessed as SCU between the SBA and the landscape areas where the habitat maintenance ES is supplied. By assessing wetlands as SCU, we intent to highlight their role as biodiversity stepping stones and as green infrastructures. Overall, we conclude that the EU biodiversity policy demand for no net loss and for a coherent N2K network can be met by enhancing the delivery of the habitat maintenance ES. This approach can assist policy-makers in prioritisation of conservation and restoration targets, in line with the EU biodiversity strategy to 2020 and the preparation of the post-2020 Strategy.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e32704</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e32704</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/32704/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/32704/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e36768</identifier>
        <datestamp>2019-08-19</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem service preferences across multilevel stakeholders in co-managed forests: Case of Aberdare protected forest ecosystem in Kenya</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-7233-4865">Kilonzi,Francisca  Mutwa</dc:creator>
          <dc:creator>Ota,Takahiro</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>stakeholder perception</dc:subject>
          <dc:subject>protected forests</dc:subject>
          <dc:subject>Aberdare forest</dc:subject>
          <dc:subject>Matrix model</dc:subject>
          <dc:source>One Ecosystem 4: e36768</dc:source>
          <dc:description>A better understanding of Ecosystem Services (ES) contributes to sustainable use while conserving the ecosystems mainly in resource-rich developing regions. This paper explores multilevel stakeholder perceptions on the most important ES provided by Aberdare Forest Ecosystem (AFE). The importance rank matrix model was employed to establish the ES preferences of 15 selected key organisations involved in AFE co-management. A two-way ANOVA inferential analysis was used to compare the differences in ES type importance. The results revealed statistically significant differences between provisioning, regulating and cultural ES. Regulating ES were identified as the most important compared to provisioning and cultural ES; a gradual stakeholder preference shift from forest tangible goods. Water, wildlife habitat, flood regulation, carbon intake and climate regulation were identified as the most important ES by all the stakeholders. Therefore, it is important to understand the gradual changes in ES preferences by various stakeholders involved in the co-management of natural resources.
  This knowledge could be important to the decision-makers in sustainable co-management planning for natural resources and to enhance sustainable utiliation of ES.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e36768</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e36768</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/36768/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/36768/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e37669</identifier>
        <datestamp>2019-09-16</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Changes in land cover and grassland area&#xA0;over the past 120 years in a rapidly urbanised area in Japan</dc:title>
          <dc:creator>Noda,Akira</dc:creator>
          <dc:creator>Kondoh,Akihiko</dc:creator>
          <dc:creator>Nishihiro,Jun</dc:creator>
          <dc:subject>Land use change</dc:subject>
          <dc:subject>Historical map</dc:subject>
          <dc:subject>&#xA0;Time series data</dc:subject>
          <dc:subject>&#xA0;Biodiversity conservation</dc:subject>
          <dc:subject>GIS</dc:subject>
          <dc:subject>Japan</dc:subject>
          <dc:source>One Ecosystem 4: e37669</dc:source>
          <dc:description>In wet temperate regions, human activity has played an important role in shaping the size and distribution of grasslands. We examined change in land cover type and grassland area in a 9.2 &#xD7; 22.3 km area of northern Chiba Prefecture, based on historical maps and documents for four time periods (1880s, 1950s, 1980s and 2000s). In the 1880s, conifer forests occupied the largest area (43.1%) amongst land cover types and grasslands accounted for 4.2% of the total area. However, literature available from the 1880s suggests that the understorey of conifer forests may have served as additional habitat for grasses. Thus, the habitat of grassland species is suggested to have covered up to 54% of the study area during this time period. By the 1950s, much of the grassland present in the 1880s had been changed to agricultural fields and paddies and grassland area had reduced to 2.9%. Residential development prior to and during the 1980s led to the conversion of forests and agricultural fields to grassland, increasing the grassland area to 11.6% of the study area. Finally, in the 2000s, grasslands had declined to 6.0% of the study area, likely due to conversion to residential areas. Despite these&#xA0;changes over time, 1.5% of the study area has remained as native forest or grassland for over 120 years. The spatial data presented herein are useful for conservation planning and studying the effect of historical land use change on biodiversity.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e37669</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e37669</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/37669/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/37669/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.4.e37753</identifier>
        <datestamp>2019-10-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A georeferenced dataset of drought and heat-induced tree mortality in Europe</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-4061-1204">Caudullo,Giovanni</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1541-456X">Barredo,Jos&#xE9; I</dc:creator>
          <dc:subject>Tree mortality</dc:subject>
          <dc:subject>forest mortality</dc:subject>
          <dc:subject>drought</dc:subject>
          <dc:subject>heat</dc:subject>
          <dc:subject>climate change</dc:subject>
          <dc:subject>Europe</dc:subject>
          <dc:source>One Ecosystem 4: e37753</dc:source>
          <dc:description>Global warming is altering climate patterns and the frequency and magnitude of heat and drought events affecting ecosystems worldwide. One of the effects of these changes is tree mortality driven by heat and drought, which have effects in forest ecosystem functions, services and biodiversity. Therefore, systematic observations and georeferenced data on tree mortality is a fundamental prerequisite for a more comprehensive understanding of the complex interactions between climate and forests. Tree mortality is a complex process for which literature presents major knowledge gaps, making predictions on the fate of climate change challenging. Some of the gaps are due to limited spatio-temporal data on tree mortality. Despite extensive tree mortality and forest dieback, associated with drought and temperature stress, have been reported in Europe, a publicly available systematic collection of georeferenced data reporting tree mortality is lacking.
  The dataset presented in this paper is a contribution to mitigate the lack of information on tree mortality. Our dataset builds on scientific and peer-reviewed literature and provides a georeferenced set of documented tree mortality occurrences in the period 1970-2017 in Europe. The aim of this study is to describe the creation of the dataset and to provide the data file to interested users.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2019</dc:date>
          <dc:type>Data Paper (Generic)</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.4.e37753</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.4.e37753</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/37753/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/37753/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e47715</identifier>
        <datestamp>2020-01-15</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Towards implementing Mapping and Assessment of Ecosystems and their Services in Cyprus: A first set of indicators for ecosystem management</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7071-6950">Vogiatzakis,Ioannis</dc:creator>
          <dc:creator>Zotos,Savvas</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0399-2063">Litskas,Vassilis</dc:creator>
          <dc:creator>Manolaki,Paraskevi</dc:creator>
          <dc:creator>Sarris,Demetrios</dc:creator>
          <dc:creator>Stavrinides,Menelaos</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>decision-making</dc:subject>
          <dc:subject>Mediterranean islands</dc:subject>
          <dc:subject>policy</dc:subject>
          <dc:subject>planning</dc:subject>
          <dc:subject>sustainability</dc:subject>
          <dc:source>One Ecosystem 5: e47715</dc:source>
          <dc:description>Ecosystems deliver a range of services that are important for human well-being. Although Ecosystem Services (ES) assessments have been carried out worldwide in different geographical areas, islands are still under-represented. This research presents the first set of indicators developed for Mapping and Assessment of Ecosystems and their Services (MAES) provided by the ecosystems of Cyprus, as required by the EU Biodiversity Strategy, along with the rationale behind the selection criteria. In total, 269 potential indicators were assessed in terms of data availability at the national/subnational level and their suitability for MAES and were classified using a "traffic light" system on the basis of overall suitability (i.e. conceptually and in terms of datasets). The results showed that 89 indicators (Green indicators) can be directly used for assessing ES in Cyprus. Amongst these 89 Green indicators, 28 are considered to be new additions to the EU MAES list, since they were proposed solely for Cyprus ecosystems, as a result of consultation with local stakeholders. Provisioning and cultural services could be adequately mapped, but lack of data was observed for several regulating services (e.g. erosion, pollution, carbon sequestration). Not all Green indicators, identified herein, are relevant for assessing ES provided by ecosystems in Cyprus, whereas Green indicators which measure similar ES might be redundant. For a given geographical context, there might be relevant (and important) indicators which are not included in the MAES list and this is why consultation with stakeholders is advisable. Knowledge gaps and needs for further improving MAES on the island are also discussed.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e47715</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e47715</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/47715/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/47715/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e50452</identifier>
        <datestamp>2020-03-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A 'Weight of Evidence' approach to evaluating structural equation models</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-6374-4726">Grace,James</dc:creator>
          <dc:subject>structural equation modelling</dc:subject>
          <dc:subject>path models</dc:subject>
          <dc:subject>model evaluation</dc:subject>
          <dc:subject>model selection</dc:subject>
          <dc:subject>weight-of-evidence</dc:subject>
          <dc:source>One Ecosystem 5: e50452</dc:source>
          <dc:description>It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies are complex and difficult to integrate with current approaches used in biology. Opposition to the use of p-values and decision thresholds has been voiced by the statistics community, yet certain phases of model evaluation have been historically tied to reliance on p-values. In this paper, I outline an approach to model evaluation, comparison and selection based on a weight-of-evidence paradigm. The details and proposed sequence of steps are illustrated using a real-world example. At the end of the paper, I briefly discuss the current state of knowledge and a possible direction for future studies.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e50452</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e50452</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50452/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50452/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e50540</identifier>
        <datestamp>2020-04-24</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Facilitating spatially-explicit assessments of ecosystem service delivery to support land use planning</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-8115-0304">Vrebos,Dirk</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8023-5421">Staes,Jan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0036-386X">Broekx,Steven</dc:creator>
          <dc:creator>De Nocker,Leo</dc:creator>
          <dc:creator>Gabriels,Karen</dc:creator>
          <dc:creator>Hermy,Martin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator>Marsboom,Cedric</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1216-9570">Ottoy,Sam</dc:creator>
          <dc:creator>Van Der Biest,Katrien</dc:creator>
          <dc:creator>van Orshoven,Jos</dc:creator>
          <dc:creator>Meire,Patrick</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>decision support system</dc:subject>
          <dc:subject>landscape planning</dc:subject>
          <dc:subject>land use change</dc:subject>
          <dc:subject>spatial analysis</dc:subject>
          <dc:source>One Ecosystem 5: e50540</dc:source>
          <dc:description>Since the early 2000s, there have been substantial efforts to transform the concept of ecosystem services into practice. Spatial assessment tools are being developed to evaluate the impact of spatial planning on a wide range of ecosystem services. However, the actual implementation in decision-making remains limited. To improve implementation, tools that are tailored to local conditions can provide accurate, meaningful information. Instead of a generic and widely-applicable tool, we developed a regional, spatially-explicit tool (ECOPLAN-SE) to analyse the impact of changes in land use on the delivery of 18 ecosystem services in Flanders (Belgium). The tool incorporates ecosystem services relevant to policy-makers and managers and makes use of detailed local data and knowledge. By providing an easy-to-use tool, including the required spatial geodatasets, time investment and the learning curve remain limited for the user. With this tool, constraints to implement ecosystem service assessments in local decision-making are drastically reduced. We believe that region-specific decision support systems, like ECOPLAN-SE, are indispensable intermediates between the conceptual ecosystem service frameworks and the practical implementation in planning processes.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e50540</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e50540</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50540/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50540/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e51103</identifier>
        <datestamp>2020-04-30</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ten years of ecosystem services matrix: Review of a (r)evolution</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-2566-7827">Campagne,C. Sylvie</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4443-7434">Roche,Philip</dc:creator>
          <dc:creator>M&#xFC;ller,Felix</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:subject>capacity matrix</dc:subject>
          <dc:subject>ecosystem services assessment</dc:subject>
          <dc:subject>tiered approach</dc:subject>
          <dc:subject>expert-based</dc:subject>
          <dc:subject>look-up table</dc:subject>
          <dc:source>One Ecosystem 5: e51103</dc:source>
          <dc:description>With the Ecosystem Service (ES) concept's popularisation, the need for robust and practical methodologies for ES assessments has increased. The ES matrix approach, linking ecosystem types or other geospatial units with ES in easy-to-apply lookup tables, was first developed ten years ago and, since then, has been broadly used. Whereas detailed methodological guidelines can be found in literature, the ES matrix approach seems to be often used in a quick (and maybe even "quick and dirty&#x201D;) way. Based on a reviewa of scientific publications, in which the ES matrix approach was used, we present the diversity of application contexts, highlight trends of uses and propose future recommendations for improved applications of the ES matrix.A total of 109 studies applying the ES matrix approach and one methodological study without concrete applications were considered for the review. Amongst the main patterns observed, the ES matrix approach allows the assessment of a higher number of ES than other ES assessment methods. ES can be jointly assessed with indicators for ecosystem condition and biodiversity in the ES matrix. Although the ES matrix allows us consider many data sources to achieve the assessment scores for the individual ES, in the reviewed studies, these were mainly used together with expert-based scoring (73%) and/or ES scores that were based on an already-published ES matrix or deduced by information found in related scientific publications (51%). We must acknowledge that 27% of the studies did not clearly explain their methodology. This points out a lack of method elucidation on how the data had been used and where the scores came from. Although some studies addressed the need to consider variabilities and uncertainties in ES assessments, only a minority of studies (15%) did so. Our review shows that, in 29% of the studies, an already-existing matrix was used as an initial matrix for the assessment (mainly the same matrix from one of the Burkhard et al. papers). In 16% of the reviewed studies, no other data were used for the matrix scores or no adaptation of the existing matrix used was made. However, the actual idea of the ES scores, included in the Burkhard et al.'s matrices published 10 years ago, was to provide some examples and give inspiration for one's own studies. Therefore, we recommend to use only scores assessed for a specific study or, if one wishes to use pre-existing scores from another study, to revise them in depth, taking into account the local context of the new assessment. We also recommend to systematically report and consider variabilities and uncertainties in each ES assessment. We emphasise the need for all scientific studies to describe clearly and extensively the whole methodology used to score or evaluate ES in order to be able to rate the quality of the scores obtained. In conclusion, the application of the ES matrix has to become more transparent and integrate more variability analyses. The increasing number of studies that use the ES matrix approach confirms its success, appropriability, flexibility and utility for decision-making, as well as its ability to increase awareness of ES.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e51103</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e51103</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/51103/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/51103/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e50648</identifier>
        <datestamp>2020-05-04</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Hierarchical classification system of Germany&#x2019;s ecosystems as basis for an ecosystem accounting &#x2013; methods and first results</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5064-3843">Grunewald,Karsten</dc:creator>
          <dc:creator>Schweppe-Kraft,Burkhard</dc:creator>
          <dc:creator>Syrbe,Ralf-Uwe</dc:creator>
          <dc:creator>Meier,Sophie</dc:creator>
          <dc:creator>Kr&#xFC;ger,Tobias</dc:creator>
          <dc:creator>Schorcht,Martin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2001-2386">Walz,Ulrich</dc:creator>
          <dc:subject>accounting</dc:subject>
          <dc:subject>area changes</dc:subject>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>classification</dc:subject>
          <dc:subject>CORINE land cover</dc:subject>
          <dc:subject>ecosystem service</dc:subject>
          <dc:subject>federal level</dc:subject>
          <dc:subject>habitat type</dc:subject>
          <dc:subject>monitoring</dc:subject>
          <dc:source>One Ecosystem 5: e50648</dc:source>
          <dc:description>Information on changes in the area of different ecosystems is needed in order to establish an accounting system for ecosystem conditions and services. Currently, there are no comprehensive field mappings for the German federal states that obey a uniform mapping system. To create a nationwide &#x201C;ecosystem accounting&#x201D;, it is necessary to develop a uniform system of ecosystem classifications that can consistently deal with diverse nationwide data sources on the extent and condition of ecosystems, some of which use their own forms of classification. Against this background, we present a concrete proposal on how to combine and blend GIS land-use and ecosystem data that is compatible with EU-wide approaches with other regularly collected data sources, for example, from sample-based surveys, so as to generate a complete, updatable picture of the state of Germany&#x2019;s ecosystems. The area shares of ecosystem types (ETs) can be shown in maps. Allocation tables with different classes or levels (layers) enable an ecosystem extent accounting, which are used to help draw up balances (area balance, status balance, service balance) and can be further detailed, depending on the task at hand. First results and trends of areal changes of main and sub-ecosystem types in Germany, based on the proposed classification system, are presented and discussed. However, the brevity of the considered timeframe (the three periods 2012-2015-2018) does not yet allow us to pinpoint trends or migratory movements, as these may be masked by methodological changes in the classification of land use and land cover. Nonetheless, the presented system for accounting changes in ecosystem areas should be continued and developed in the future in order to create a useful tool for biodiversity monitoring in Germany.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e50648</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e50648</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50648/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/50648/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e53111</identifier>
        <datestamp>2020-06-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem services mapping and assessment for policy- and decision-making: Lessons learned from a comparative analysis of European case studies</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5528-3365">Geneletti,Davide</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1377-565X">Adem Esmail,Blal</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9612-4731">Cortinovis,Chiara</dc:creator>
          <dc:creator>Arany,Ildik&#xF3;</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2016-3937">Balzan,Mario</dc:creator>
          <dc:creator>van Beukering,Pieter</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-4595-4292">Lange,Sabine</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8448-7623">Borges,Paulo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3225-9514">Borisova,Bilyana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0036-386X">Broekx,Steven</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4450-8167">Gil,Artur</dc:creator>
          <dc:creator>Inghe,Ola</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1672-6087">Kopperoinen,Leena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-0789-0045">Kruse,Marion</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9708-7592">Liekens,Inge</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5964-2724">Lowicki,Damian</dc:creator>
          <dc:creator>Mizgajski,Andrzej</dc:creator>
          <dc:creator>Mulder,Sara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator>&#xD6;sterg&#xE5;rd,Hannah</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1188-6519">Pican&#xE7;o,Ana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1580-8304">Ruskule,Anda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0861-4520">Santos,Fernando</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2134-0429">Sieber,Ina</dc:creator>
          <dc:creator>Svensson,Johan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6185-200X">Vackaru,Dava</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5497-3030">Veidemane,Kristina</dc:creator>
          <dc:subject>biodiversity</dc:subject>
          <dc:subject>EU Biodiversity Strategy</dc:subject>
          <dc:subject>comparative analysis</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>MAES</dc:subject>
          <dc:subject>case studies</dc:subject>
          <dc:source>One Ecosystem 5: e53111</dc:source>
          <dc:description>This paper analyses and compares a set of case studies on ecosystem services (ES) mapping and assessment with the purpose of formulating lessons learned and recommendations. Fourteen case studies were selected during the EU Horizon 2020 &#x201C;Coordination and Support Action&#x201D; ESMERALDA to represent different policy- and decision-making processes throughout the European Union, across a wide range of themes, biomes and scales. The analysis is based on a framework that addresses the key steps of an ES mapping and assessment process, namely policy questions, stakeholder identification and involvement, application of mapping and assessment methods, dissemination and communication and implementation. The analysis revealed that most case studies were policy-orientated or gave explicit suggestions for policy implementation in different contexts, including urban, rural and natural areas. Amongst the findings, the importance of starting stakeholder engagement early in the process was confirmed in order to generate interest and confidence in the project and to increase their willingness to cooperate. Concerning mapping and assessment methods, it was found that the integration of methods and results is essential for providing a comprehensive overview from different perspectives (e.g. social, economic). Finally, lessons learned for effective implementation of ES mapping and assessment results are presented and discussed.Graphical Abstarcat in Fig. 1.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e53111</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e53111</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53111/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53111/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e51816</identifier>
        <datestamp>2020-06-12</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Diversity and activity of microorganisms in Antarctic polar soils</dc:title>
          <dc:creator>Malcheva,Boika</dc:creator>
          <dc:creator>Nustorova,Maya</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4843-6770">Zhiyanski,Miglena</dc:creator>
          <dc:creator>Sokolovska,Maria</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4092-8340">Yaneva,Rositsa</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5248-9018">Abakumov,Evgeny</dc:creator>
          <dc:subject>polar soils</dc:subject>
          <dc:subject>non-spore-forming bacteria</dc:subject>
          <dc:subject>bacilli</dc:subject>
          <dc:subject>actinomycetes</dc:subject>
          <dc:subject>micromycetes</dc:subject>
          <dc:subject>bacteria absorbing mineral nitrogen</dc:subject>
          <dc:source>One Ecosystem 5: e51816</dc:source>
          <dc:description>The study is focused on microbiological analyses in polar soils in selected monitoring sites in Livingstone Island, Antarctica region. The analyses include determination of the quantity and qualitative composition of the heterotrophic block of soil microflora (non-spore-forming bacteria, bacilli, actinomycetes, micromycetes, bacteria absorbing mineral nitrogen), insofar as it plays a major role in the element cycling and soil formation processes. Aerobic (rapidly and slowly growing) and anaerobic groups of soil microorganisms were investigated and the biogenicity (total microflora) and the rate of mineralisation processes (mineralisation coefficient) were determined. Mostly non-spore-forming aerobic bacteria, followed by actinomycetes, are dominant in determining the biogenicity of the studied polar soils. The rearrangement of the microorganisms in the composition of the total microflora by degree of dominance indicates the participation of all the studied groups of microorganisms in most sites in the initial and final stages of the decomposition of organic matter. The mineralisation of soils is most active in sites with vegetation cover. The established pigmentation in aerobic microorganisms is probably due to their good adaptation and protection under extreme polar conditions, while the absence of oxygen impedes the formation of pigments.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e51816</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e51816</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/51816/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/51816/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e53485</identifier>
        <datestamp>2020-06-15</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A review of ecosystem condition accounts: lessons learned and options for further development</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8730-846X">Driver,Amanda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5956-7261">Keith,Heather</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9759-871X">Jackson,Bethanna</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2199-3446">Nicholson,Emily</dc:creator>
          <dc:creator>Dasoo,Malik</dc:creator>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>ecosystem condition account</dc:subject>
          <dc:subject>System of Environmental-Economic Accounting</dc:subject>
          <dc:subject>experimental ecosystem accounting</dc:subject>
          <dc:subject>review</dc:subject>
          <dc:subject>indicators</dc:subject>
          <dc:subject>reference condition</dc:subject>
          <dc:subject>aggregation</dc:subject>
          <dc:source>One Ecosystem 5: e53485</dc:source>
          <dc:description>Ecosystem condition accounts are part of the System of Environmental-Economic Accounting &#x2013; Experimental Ecosystem Accounting (SEEA EEA). An ecosystem condition account contains aggregated statistical information about the overall abiotic and biotic quality of an ecosystem at a policy relevant spatial scale. This article reviews 23 publicly-accessible reports undertaken or commissioned by government agencies, academic and non-government organisations that discuss or present an ecosystem condition account. This analysis revealed that ecosystem condition is usually reported for one or more ecosystem types, but there is little consistency in the terminology used to define ecosystem types. All case studies report variables or indicators that measure specific ecosystem characteristics in order to make inferences about the overall condition of ecosystems. All studies included biotic indicators and almost all studies included species-based indicators in the condition account. The thematic aggregation of indicators into a single composite index (or in a few composite sub-indices) is not a standard practice, but applied in about half of the studies. The definition and use of a reference condition or reference levels for specific indicators against which the reported condition can be evaluated is not a standard practice, but was applied in about half of the studies. Based on this analysis, we suggest the revision of the SEEA EEA to propose a globally-consistent typology of ecosystem types; to recommend a list of ecosystem condition indicators according to an agreed classification; to provide further guidance on aggregation methods and on the development of an ecosystem condition index that can be used to compare ecosystem condition across ecosystem types and across different accounting areas; to provide further guidance on how best to set reference levels and reference conditions against which the past, current and future ecosystem condition can be assessed; and to propose a standard set of statistical tables for reporting the condition account.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e53485</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e53485</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53485/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53485/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e53677</identifier>
        <datestamp>2020-07-29</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>National ecosystem services assessment in Slovakia &#x2013; meeting old liabilities and introducing new methods</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7101-4336">Mederly,Peter</dc:creator>
          <dc:creator>&#x10C;erneck&#xFD;,J&#xE1;n</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1666-8369">&#x160;pulerov&#xE1;,Jana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2977-403X">Izakovicova,Zita</dc:creator>
          <dc:creator>&#x10E;uricov&#xE1;,Vikt&#xF3;ria</dc:creator>
          <dc:creator>Pova&#x17E;an,Radoslav</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4528-9963">&#x160;vajda,Juraj</dc:creator>
          <dc:creator>Mo&#x10D;ko,Matej</dc:creator>
          <dc:creator>Jan&#x10D;ovi&#x10D;,Martin</dc:creator>
          <dc:creator>Gusejnov,Simona</dc:creator>
          <dc:creator>Hre&#x161;ko,Juraj</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2364-3610">Petrovic,Frantisek</dc:creator>
          <dc:creator>&#x160;tefunkov&#xE1;,Dagmar</dc:creator>
          <dc:creator>&#x160;atalov&#xE1;,Barbora</dc:creator>
          <dc:creator>Vrbi&#x10D;anov&#xE1;,Gr&#xE9;ta</dc:creator>
          <dc:creator>Kaisov&#xE1;,Dominika</dc:creator>
          <dc:creator>Turanovi&#x10D;ov&#xE1;,Martina</dc:creator>
          <dc:creator>Kov&#xE1;&#x10D;,Tom&#xE1;&#x161;</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1313-6367">Laco,Ivan</dc:creator>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>MAES process</dc:subject>
          <dc:subject>national assessment</dc:subject>
          <dc:subject>valuation methods</dc:subject>
          <dc:subject>Slovakia</dc:subject>
          <dc:source>One Ecosystem 5: e53677</dc:source>
          <dc:description>This article provides an overview and results of the pilot national ecosystem services assessment in Slovakia. It follows the MAES process and past ecosystem services (ES) research in Slovakia and is based on original research methodology using spatial and statistical data. The initial step of national ES assessment resulted in the selection of significant ES for the evaluation process, where 18 ES in three groups were selected (five provisioning, 10 regulatory/maintenance and three cultural ES). An original assessment model provided the theoretical and methodological framework for national ES evaluation. The principal result is an assessment of the national landscape&#x2019;s capacity for ES provision, based on evaluation of the landscape units and selected properties and indicators at the ecosystem level. These inputs included habitat types and watersheds, administrative units, natural topology, geology, soils, climate, water and biota. The ES capacity models were created and evaluated for each ES, for the main groups and, finally, for overall ES provision. The highest capacity to provide ES in Slovakia comes from natural and semi-natural ecosystems, mainly deciduous, mixed and coniferous forests which cover over 38% of Slovak territory. The water ecosystems and wetlands are also significant, followed by grasslands and permanent crops. The research highlights the crucial importance of the mountainous and sub-mountainous areas in Slovakia and confirms the significant contribution of the natural and semi-natural ecosystems for ensuring ES provision.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e53677</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e53677</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53677/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53677/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e55881</identifier>
        <datestamp>2020-09-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada&#x2019;s Forest Ecumene</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0262-2191">Eddy,Brian</dc:creator>
          <dc:creator>Muggridge,Madison</dc:creator>
          <dc:creator>LeBlanc,Robert</dc:creator>
          <dc:creator>Osmond,Joanne</dc:creator>
          <dc:creator>Kean,Chelsea</dc:creator>
          <dc:creator>Boyd,Erica</dc:creator>
          <dc:subject>ecumene</dc:subject>
          <dc:subject>ecosystems mapping</dc:subject>
          <dc:subject>socio-economic</dc:subject>
          <dc:subject>communities</dc:subject>
          <dc:subject>geospatial analysis</dc:subject>
          <dc:subject>economic geography</dc:subject>
          <dc:source>One Ecosystem 5: e55881</dc:source>
          <dc:description>Integrating socio-economic dimensions in ecosystems analysis and management is becoming increasingly important, particularly from a mapping standpoint.&#xA0;A key challenge with such integration is reconciling different geospatial representations based on census and administrative frameworks with natural ecosystems boundaries.This article presents one method for addressing this challenge by mapping an information rich 'ecumene'.&#xA0;In this approach, communities are mapped as human habitats using natural boundaries as opposed to administrative-type boundaries, integrated with&#xA0;authoritative socio-economic data.&#xA0;To illustrate the benefits of this approach, two example applications are provided that: 1) map&#xA0;and estimate the population of the 'forest ecumene' of Canada, and 2) map labour force distribution patterns associated with the&#xA0;forest sector and its relation to forest areas in Canada. Benefits and limitations of this approach are discussed, from which a number of priority areas for future research are identified.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e55881</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e55881</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/55881/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/55881/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e57117</identifier>
        <datestamp>2020-09-18</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Research gaps and trends in the Arctic tundra: a topic-modelling approach</dc:title>
          <dc:creator>Ancin-Murguzur,Francisco</dc:creator>
          <dc:creator>Hausner,Vera</dc:creator>
          <dc:subject>Topic modelling</dc:subject>
          <dc:subject>research gaps</dc:subject>
          <dc:subject>climate change</dc:subject>
          <dc:subject>socio-economic system</dc:subject>
          <dc:subject>LDA</dc:subject>
          <dc:source>One Ecosystem 5: e57117</dc:source>
          <dc:description>Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topic-modelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications of these changes for society.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Short Communication</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e57117</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e57117</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/57117/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/57117/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e54621</identifier>
        <datestamp>2020-09-29</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping the natural heritage as a source of recreation services at national scale in Bulgaria</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-1204-1275">Ihtimanski,Ivo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0052-9815">Nedkov,Stoyan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9871-6485">Semerdzhieva,Lidiya</dc:creator>
          <dc:subject>Ecosystem services</dc:subject>
          <dc:subject>ESTIMAP</dc:subject>
          <dc:subject>GIS</dc:subject>
          <dc:subject>recreation potential</dc:subject>
          <dc:subject>recreation opportunity spectrum</dc:subject>
          <dc:subject>hemeroby index</dc:subject>
          <dc:subject>tourism</dc:subject>
          <dc:source>One Ecosystem 5: e54621</dc:source>
          <dc:description>Natural heritage includes natural features or natural areas of outstanding universal value. At a national level, this value refers to the importance of ecosystems which can be considered as the spatial units representing the natural heritage of the particular area in terms of their values to people. Nature-based outdoor recreation represents an important service that interests millions of people and contributes to connecting them to nature, but it may also cause negative impacts in the form of pollution, erosion and habitats loss. We apply the ESTIMAP recreation model which provides a framework for a spatially-explicit assessment of local outdoor recreation and use it to identify and assess the natural heritage as a source of recreation services at a national level in Bulgaria. At the first stage of the study, we identify the natural heritage and the data sources to represent it in a spatially-explicit way. Then, we apply the module for recreation potential to assess the potential of the natural heritage to provide a recreation ecosystem service. At the third stage, the accessibility of the natural heritage is assessed in order to specify how the potential identified at the previous step can be really used. Finally, the recreation potential and accessibility are integrated into the recreation opportunity spectrum in order to develop the maps representing the ecosystem service supply provided by the natural heritage. The results are presented in form of a recreation potential map that reveals the capacity of natural heritage to provide the recreation potential, map of the accessibility of the natural heritage and map of the recreation opportunity spectrum representing the combination between the first two maps. The maps will be used for the development of an innovative geospatial platform designed to facilitate the access of the Bulgarian natural heritage to the European common knowledge and innovation markets. The results on the accessibility and recreation opportunity spectrum contribute to the development of the model in areas which were not covered by previous applications at the EU scale.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e54621</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e54621</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/54621/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/54621/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e58216</identifier>
        <datestamp>2020-11-09</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A conceptual framework and practical structure for implementing&#xA0;ecosystem condition accounts</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-5956-7261">Keith,Heather</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9759-871X">Jackson,Bethanna</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8730-846X">Driver,Amanda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2199-3446">Nicholson,Emily</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:subject>System of Environmental-Economic Accounting</dc:subject>
          <dc:subject>ecosystem accounting</dc:subject>
          <dc:subject>reference condition</dc:subject>
          <dc:subject>ecosystem integrity</dc:subject>
          <dc:subject>condition indicators</dc:subject>
          <dc:source>One Ecosystem 5: e58216</dc:source>
          <dc:description>Ecosystem condition is a fundamental component in the ecosystem accounting framework as part of the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA). Here, we develop a conceptual framework and present a practical structure for implementing ecosystem condition accounts to contribute to the revision process of the SEEA EEA, focussing on six core&#xA0;elements: (1) developing a common definition of ecosystem condition, (2) establishing a conceptual framing for ecosystem condition, (3) portraying the role of condition within the SEEA EEA accounting system, (4) deriving an inclusive multi-purpose approach, (5) describing the components of condition accounts and (6) developing a three-stage structure for reporting accounts. We develop a conceptual framework for an inclusive condition account, building on an ecological understanding of ecosystems upon which definitions, concepts, classifications and reporting structures were based. The framework encompasses the dual perspectives of first, the interdependencies of ecosystem composition, structure and function in maintaining ecosystem integrity and second,&#xA0;the capacity of ecosystems to supply services as benefits for humans. The following components of ecosystem condition accounts are recommended to provide comprehensive, consistent, repeatable and transparent accounts: (1) intrinsic and instrumental values, together with ecocentric and anthropocentric worldviews; (2) a formal typology or classification of characteristics, variables and indicators, based on selection criteria; (3) a reference condition used both to compare past, current and future levels of indicators of condition and as a basis for aggregation of indicators; and (4) a three-stage approach to compiling accounts with increasing levels of information and complexity that are appropriate for different purposes and applications. The recommended broad and inclusive scope of ecosystem condition and the demonstrated practical methods for implementation of accounts will enhance the ecosystem accounting framework and thus support a wider range of current and potential applications and users.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Methods</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e58216</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e58216</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/58216/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/58216/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e53504</identifier>
        <datestamp>2020-12-01</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Integrating ecosystem services into decision support for management of agroecosystems: Viva Grass tool</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-5760-8058">Vinogradovs,Ivo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7777-6577">Villoslada,Miguel</dc:creator>
          <dc:creator>Nikodemus,Olgerts</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1580-8304">Ruskule,Anda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5497-3030">Veidemane,Kristina</dc:creator>
          <dc:creator>Gulbinas,Justas</dc:creator>
          <dc:creator>Morkvenas,Zymantas</dc:creator>
          <dc:creator id="https://orcid.org/https://orcid.org/0000-0003-3692-1621">Kasparinskis,Raimonds</dc:creator>
          <dc:creator>Sepp,Kalev</dc:creator>
          <dc:creator>Jarv,Henri</dc:creator>
          <dc:creator>Klimask,Jaak</dc:creator>
          <dc:creator>Zarina,Anita</dc:creator>
          <dc:creator>Brumelis,Guntis</dc:creator>
          <dc:creator>Dotas,Arvydas</dc:creator>
          <dc:creator>Kryzanauskas,Audrius</dc:creator>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>decision-support tool</dc:subject>
          <dc:subject>agroecosystems</dc:subject>
          <dc:subject>spatial planning</dc:subject>
          <dc:subject>the Baltic States</dc:subject>
          <dc:source>One Ecosystem 5: e53504</dc:source>
          <dc:description>The area covered by low-input agroecosystems (e.g. semi-natural and permanent grasslands) in Europe has considerably decreased throughout the last century. To support more sustainable management practices, and to promote biodiversity and ecosystem service values of such agroecosystems a decision support tool was developed. The tool aims to enhance the operationalization of ecosystem services and address the challenge of their integration into spatial planning. The Viva Grass tool aims to enhance the maintenance of&#xA0;ecosystem services delivered by low-input agroecosystems. It does so by providing spatially explicit decision support for land-use planning and sustainable management of agroecosystems. The Viva Grass tool&#xA0;is a multi-criteria decision analysis tool for&#xA0;integrated&#xA0;planning. It is designed for farmers, spatial planners and policy makers to support decisions of management of agroecosystems. The tool has been tested to assess spatial planning in eight case studies across the Baltic States.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2020</dc:date>
          <dc:type>Software Description</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e53504</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e53504</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53504/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/53504/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e58218</identifier>
        <datestamp>2021-01-27</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A common typology for ecosystem characteristics and ecosystem condition variables</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-6462-7633">Cz&#xFA;cz,B&#xE1;lint</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-5956-7261">Keith,Heather</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8730-846X">Driver,Amanda</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9759-871X">Jackson,Bethanna</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2199-3446">Nicholson,Emily</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>ecosystem characteristics</dc:subject>
          <dc:subject>ecological integrity</dc:subject>
          <dc:subject>classification</dc:subject>
          <dc:subject>ecosystem accounts</dc:subject>
          <dc:subject>System Of Environmental Economic Accounting</dc:subject>
          <dc:subject>Experimental Ecosystem Accounting</dc:subject>
          <dc:subject>SEEA EEA</dc:subject>
          <dc:source>One Ecosystem 6: e58218</dc:source>
          <dc:description>The UN System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) aims at regular and standardised stocktaking on the extent of ecosystems, their condition and the services they provide to society. Recording the condition of ecosystems is one of the most complex pieces in this exercise, needing to be supported by robust and consistent guidelines. SEEA EEA defines the condition of an ecosystem as its overall quality, measured in terms of quantitative metrics describing both abiotic and biotic characteristics. The main objective of this paper is to propose a simple universal classification (typology) for these ecosystem condition characteristics and metrics, based on long standing ecological concepts and traditions.The proposed SEEA EEA Ecosystem Condition Typology (SEEA ECT) is a hierarchical classification consisting of six classes grouped into three main groups (abiotic, biotic and landscape-level ecosystem characteristics). In order to facilitate practical applications, SEEA ECT is cross-linked to the most relevant existing typologies for ecosystem characteristics currently used for other purposes. To ensure clarity and practicality, we identified potential overlaps between classes and also identified the most important groups of &#x2018;ancillary data&#x2019; that should not be considered as ecosystem condition characteristics. We consider that this new typology for ecosystem condition will create a meaningful reporting structure for ecosystem condition accounts, thus facilitating its standardisation and broad application.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e58218</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e58218</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/58218/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/58218/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e65582</identifier>
        <datestamp>2021-04-28</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Applying the System of Environmental Economic Accounting-Ecosystem Accounting (SEEA-EA) framework at catchment scale to develop ecosystem extent and condition accounts</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-2940-6445">Farrell,Catherine</dc:creator>
          <dc:creator>Coleman,Lisa</dc:creator>
          <dc:creator>Kelly-Quinne,Mary</dc:creator>
          <dc:creator>Obst,Carl</dc:creator>
          <dc:creator>Eigenraam,Mark</dc:creator>
          <dc:creator>Norton,Daniel</dc:creator>
          <dc:creator>O'Donoghue,Cathal</dc:creator>
          <dc:creator>Kinsella,Stephen</dc:creator>
          <dc:creator>Sheehy,Iseult</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2027-0863">Stout,Jane</dc:creator>
          <dc:subject>SEEA-EA</dc:subject>
          <dc:subject>catchment scale</dc:subject>
          <dc:subject>ecosystem stocks</dc:subject>
          <dc:subject>ecosystem extent</dc:subject>
          <dc:subject>ecosystem condition</dc:subject>
          <dc:subject>ecosystem accounts</dc:subject>
          <dc:source>One Ecosystem 6: e65582</dc:source>
          <dc:description>Ecosystem accounting is a tool to integrate nature into decision-making in a more structured way. Applying the use of nationally available datasets at catchment scale and following the System of Environmental Economic Accounting-Ecosystem Accounting (SEEA-EA) framework, we present results from a catchment case study in Ireland, highlighting findings specifically in relation to the development of ecosystem extent and condition accounts. In the absence of a national ecosystem map, CORINE landcover mapping formed the basic data for extent and type of ecosystems, distinguishing woodlands and forest, peatland and heathland, grasslands and cropland and urban areas, with limited coverage of linear freshwater rivers, hedgerows and coastal ecosystems. Additional remote sensing data provided higher resolution at catchment scale, while limited site-level survey data were available. Condition data gathered for reporting under the EU Water Framework Directive were available at sub-basin level for surface waterbodies. Data were available at national level for habitats reported for the EU under the Habitats Directive (59 habitats reported), covering ~ 25% of the study area. Data for ecosystem types outside of these reporting frameworks were in the form of ancillary data only, providing information on pressures, threats and intensity of use. Our findings in Ireland reflect work across the European region, highlighting the role of data gathering and stakeholder engagement. We outline some of the data gaps to provide information for future research and alignment of data for the purpose of NCA, both at catchment and national scale.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e65582</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e65582</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65582/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65582/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.5.e56536</identifier>
        <datestamp>2021-05-11</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Floristic composition and community structure along the elevational gradient of Balinsasayao Twin Lakes Natural Park in Negros Oriental, Philippines</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7857-079X">Aureo,Wilbert</dc:creator>
          <dc:creator>Reyes,Tomas Jr.</dc:creator>
          <dc:creator>Mutia,Francis Carlo</dc:creator>
          <dc:creator>Tandang,Danilo</dc:creator>
          <dc:creator>Jose,Reizl</dc:creator>
          <dc:subject>plant conservation</dc:subject>
          <dc:subject>species diversity</dc:subject>
          <dc:subject>Central Visayas</dc:subject>
          <dc:subject>community structure</dc:subject>
          <dc:subject>threatened species</dc:subject>
          <dc:source>One Ecosystem 6: e56536</dc:source>
          <dc:description>Balinsasayao Twin Lakes Natural Park (BTLNP) is one of the protected areas on the Island of Negros Oriental which is enormously rich in biodiversity due to different Lowland types formed along its elevation gradient. This study was conducted to better understand the composition and diversity of plant species in the natural park to improve conservation and management efforts of these remaining forests which are currently under threat from eco-tourism and other anthropomorphic influences. Within the 18 randomly distributed nested plots, a total of 351 species of plants were recorded. Of these, 183 species were trees, 54 herbs, 51 shrubs, 41 pteridophytes and 22 vines. The result of hierarchical cluster analysis showed differences in plant composition along the elevation gradient. There were 30 (9%) threatened species (vulnerable, endangered and critically endangered) and most of which were found in the submontane Lowland. Furthermore, the species diversity increases from lowland to sub-montane and eventually decreases towards montane Lowland. These results not only indicate the importance of BTLNP, but also highlights the submontane as a special area of concern due to the higher concentration of threatened and endemic species.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.5.e56536</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.5.e56536</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/56536/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/56536/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e62811</identifier>
        <datestamp>2021-05-14</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Valuation of kelp forest ecosystem services in the Falkland Islands: A case study integrating blue carbon sequestration potential</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-7715-0387">Bayley,Daniel</dc:creator>
          <dc:creator>Brickle,Paul</dc:creator>
          <dc:creator>Brewin,Paul</dc:creator>
          <dc:creator>Golding,Neil</dc:creator>
          <dc:creator>Pelembe,Tara</dc:creator>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>kelp</dc:subject>
          <dc:subject>macroalgae</dc:subject>
          <dc:subject>natural capital</dc:subject>
          <dc:subject>carbon sequestration</dc:subject>
          <dc:subject>Falkland Islands</dc:subject>
          <dc:source>One Ecosystem 6: e62811</dc:source>
          <dc:description>Kelp forests provide many important ecosystem services to people, including mitigating storm damage, cycling nutrients, and providing commercially-harvestable resources. However, kelp forests&#x2019; ability to sequester carbon dioxide, and therefore help regulate the climate, has until recently, been overlooked in assessments of the beneficial services they provide. In this study we incorporate updated knowledge on the potential of kelp to sequester &#x2018;blue carbon&#x2019;, and use the extensive kelp forests of the Falkland Islands as a case study to assess the value of kelp forest to society through multiple associated ecosystem services. Our analysis shows kelp forests provide a highly valuable range of direct and indirect services, which if managed correctly, will continue to benefit people, both now and in the future. The total estimated value of the Falkland Islands&#x2019; kelp system is currently equivalent to ~ &#xA3;2.69 billion per year (or &#xA3;3.24 million km-2 year-1). However, the true value of the kelp forest surrounding the Falkland Islands is likely to be higher still, given that our estimate does not account for elements such as associated scientific research, tourism, and cultural services, due to the necessary data currently being unavailable. Similarly, the full value of these highly biodiverse ecosystems in supplying habitat and food to a large range of associated species is crucial, yet extremely difficult to fully quantify. This study illustrates the importance of maintaining kelp ecosystems in a healthy state to ensure they continue to supply valuable ecological processes, functional roles, and ecosystem services, including their overlooked role as significant long-term carbon sinks.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e62811</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e62811</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/62811/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/62811/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e63653</identifier>
        <datestamp>2021-05-17</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Monitoring bee health in European agro-ecosystems using wing morphology and fat bodies</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-0110-8019">Vanderplanck,Maryse</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8880-1838">Michez,Denis</dc:creator>
          <dc:creator>Albrecht,Matthias</dc:creator>
          <dc:creator>Attridge,Eleanor</dc:creator>
          <dc:creator>Babin,Aur&#xE9;lie</dc:creator>
          <dc:creator>Bottero,Irene</dc:creator>
          <dc:creator>Breeze,Tom</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8887-3628">Brown,Mark</dc:creator>
          <dc:creator>Chauzat,Marie-Pierre</dc:creator>
          <dc:creator>Cini,Elena</dc:creator>
          <dc:creator>Costa,Cecilia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-0058-1402">De la R&#xFA;a,Pilar</dc:creator>
          <dc:creator>de Miranda,Joachim</dc:creator>
          <dc:creator>Di Prisco,Gennaro</dc:creator>
          <dc:creator>Dominik,Christophe</dc:creator>
          <dc:creator>Dzul,Daniel</dc:creator>
          <dc:creator>Fiordaliso,William</dc:creator>
          <dc:creator>Gennaux,S&#xE9;bastien</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2032-8081">Ghisbain,Guillaume</dc:creator>
          <dc:creator>Hodge,Simon</dc:creator>
          <dc:creator>Klein,Alexandra-Maria</dc:creator>
          <dc:creator>Knapp,Jessica</dc:creator>
          <dc:creator>Knauer,Anina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-9029-027X">Laurent,Marion</dc:creator>
          <dc:creator>Lefebvre,Victor</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4898-5817">Mand,Marika</dc:creator>
          <dc:creator>Martinet,Baptiste</dc:creator>
          <dc:creator>Lopez,Vicente</dc:creator>
          <dc:creator>Medrzycki,Piotr</dc:creator>
          <dc:creator>Pereira Peixoto,Maria Helena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2045-980X">Potts,Simon</dc:creator>
          <dc:creator>Przybyla,Kimberly</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-6299-4862">Raimets,Risto</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3014-1544">Rundl&#xF6;f,Maj</dc:creator>
          <dc:creator>Schweiger,Oliver</dc:creator>
          <dc:creator>Senapathi,Deepa</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-1565-5216">Serrano,Jose</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2027-0863">Stout,Jane</dc:creator>
          <dc:creator>Straw,Edward</dc:creator>
          <dc:creator>Tamburini,Giovanni</dc:creator>
          <dc:creator>Toktas,Yusuf</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2485-0662">G&#xE9;rard,Maxence</dc:creator>
          <dc:subject>bee decline</dc:subject>
          <dc:subject>bumblebee</dc:subject>
          <dc:subject>global change</dc:subject>
          <dc:subject>honeybee</dc:subject>
          <dc:subject>landscape ecology</dc:subject>
          <dc:subject>pesticides</dc:subject>
          <dc:subject>wing shape</dc:subject>
          <dc:source>One Ecosystem 6: e63653</dc:source>
          <dc:description>Current global change substantially threatens pollinators, which directly impacts the pollination services underpinning the stability, structure and functioning of ecosystems. Amongst these threats, many synergistic drivers, such as habitat destruction and fragmentation, increasing use of agrochemicals, decreasing resource diversity, as well as climate change, are known to affect wild and managed bees. Therefore, reliable indicators for pollinator sensitivity to such threats are needed. Biological traits, such as phenotype (e.g. shape, size and asymmetry) and storage reserves (e.g. fat body size), are important pollinator traits linked to reproductive success, immunity, resilience and foraging efficiency and, therefore, could serve as valuable markers of bee health and pollination service potential.This data paper contains an extensive dataset of wing morphology and fat body content for the European honeybee (Apis mellifera) and the buff-tailed bumblebee (Bombus terrestris) sampled at 128 sites across eight European countries in landscape gradients dominated by two major bee-pollinated crops (apple and oilseed rape), before and after focal crop bloom and potential pesticide exposure. The dataset also includes environmental metrics of each sampling site, namely landscape structure and pesticide use. The data offer the opportunity to test whether variation in the phenotype and fat bodies of bees is structured by environmental factors and drivers of global change. Overall, the dataset provides valuable information to identify which environmental threats predominantly contribute to the modification of these traits.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Data Paper (Generic)</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e63653</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e63653</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/63653/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/63653/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e65578</identifier>
        <datestamp>2021-05-28</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Adopting a cross-scale approach for the deployment of a green infrastructure</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-9951-6765">Zulian,Grazia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-9793-0287">Ronchi,Silvia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-6951-709X">La Notte,Alessandra</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5105-6253">Vallecillo,Sara</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8272-1607">Maes,Joachim</dc:creator>
          <dc:subject>stakeholder engagement</dc:subject>
          <dc:subject>cross-scale approach</dc:subject>
          <dc:subject>cultural ecosystem services</dc:subject>
          <dc:subject>planning process</dc:subject>
          <dc:subject>Green Infrastructure</dc:subject>
          <dc:source>One Ecosystem 6: e65578</dc:source>
          <dc:description>The implementation of a Green Infrastructure (GI) involves several actors and governance scales that need adequate knowledge support. The multifunctionality of GI entails the implementation of a cross-scale approach, which combines assessments conducted at different levels and active stakeholder engagement.This paper provides a methodology to implement a cross-scale approach to support the deployment of a Regional GI. The methodology was tested in Lombardy Region (north-west of Italy), considering three relevant territorial scales and relative strategic and planning policies. The continental level representing the overall policy-context; the regional level, with its key role for guaranteeing landscape coherence and connectivity and the local level where planning actions are effectively designed and implemented. The EU Biodiversity Strategy for 2030 and the EU GI strategy were used as references for the continental level; at the regional level, a proposal of Regional GI was evaluated focusing on two Provinces (Varese and Lecco), three regional parks (Ticino, Adda Nord and Campo dei Fiori). At the local scale, the new development plan of the Municipality of Cassano d'Adda (Milan metropolitan area) was evaluated considering different possible scenarios.The regional GI was evaluated with respect to the capacity to provide Cultural Ecosystem Services (CES). CES were mapped using the ESTIMAP-recreation model. The model was adapted to the regional and local level with the active engagement of local stakeholders. Additionally, census data were analysed to obtain an overview of the equitable distribution of the CES amongst inhabitants.Results show that, in 78% of the census blocks of the study area, inhabitants have a high-value recreation resource within 4 km (31% within 4 km and 47% within 300 m). Unmet demand characterises 22% of the census blocks in the study area, clustered in zones with a high population density. The regional GI covers almost completely the two Provinces and the regional parks. In Varese Province: 68% of the territory is included in the regional GI, 82% of the census blocks local demand for recreation opportunities is met, but the population density is higher where the demand is unmet. The Province is characterised by a relatively old population (share of people older than 65 years 23.4%). In Lecco Province, 80% of the territory is included in the regional GI, in 96% of the blocks the local demand is met and the local population is relatively old (share of elderly population 22.12%).The three regional parks present significant differences, strongly influenced by the territorial context. The Campo dei Fiori Park is almost completely included in the regional GI. The entire local population has nature-based recreation opportunities in their close vicinity. Nevertheless, the population density is very low and citizens are relatively old. The majority of the Parco Adda Nord is included in the regional GI providing recreation opportunities to 90% of the census blocks within the Park boundaries. A total of 70% of Ticino Park is included in the regional GI, where local residents are relatively old (share of elderly population 23.78%) and 90% of local census blocks are close to nature-based opportunities.At local scale, we explored how the approach can be used to estimate changes in the CES potential provision and how this can be integrated into a site management plan.This paper demonstrated that the combination of studies in a cross-scale perspective enhances the understanding of GI multifunctionality. It provides a framework to adapt CES mapping models to the local setting with active stakeholders engagement. Moreover, it demonstrates that also highly urbanised areas, such as the Lombardy Region in Italy, can play a role in the deployment of a continental GI and can support biodiversity and nature protection.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e65578</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e65578</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65578/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65578/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e65751</identifier>
        <datestamp>2021-07-01</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping recreational ecosystem services from stakeholders' perspective in the Azores</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-7268-936X">Seijo N&#xFA;&#xF1;ez,Cristina</dc:creator>
          <dc:creator>Calado,Helena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6807-7608">McClintock,William</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4450-8167">Gil,Artur</dc:creator>
          <dc:creator>Fonseca,Catarina</dc:creator>
          <dc:subject>MAES</dc:subject>
          <dc:subject>social valuation</dc:subject>
          <dc:subject>recreational activities</dc:subject>
          <dc:subject>participatory mapping</dc:subject>
          <dc:source>One Ecosystem 6: e65751</dc:source>
          <dc:description>Mapping and Assessment of Ecosystems and their Services (MAES) in Europe&#x2019;s Outermost Regions (ORs) and Overseas Countries and Territories (OCTs) is still underdeveloped compared to the European mainland. Most of those territories are small islands for which Marine and Coastal Ecosystems (MCE) constitute a significant resource and provide important provisioning, regulating and cultural Ecosystem Services (ES). Understanding the cultural dimension of ecosystems and considering the cultural benefits and values associated with them, demands methodological plurality, flexibility and creativity. This study focused on two activities related to recreational ES (recreational fishing and recreational SCUBA diving) that are particularly relevant to S&#xE3;o Miguel Island (Archipelago of the Azores, Portugal). Stakeholders were interviewed using SeaSketch, a participatory mapping tool in which they indicated where they conduct recreational fishing and scuba diving, the relative value of those areas, in terms of preference over other areas and their willingness to relinquish them for the purpose of conservation. Responses were aggregated and represented in maps showing key areas for the provision of recreational ES around S&#xE3;o Miguel. This approach can be used in the Azorean Maritime Spatial Planning (MSP) process and other on-going conservation initiatives, to better understand the trade-offs between relevant socio-economic activities and to support negotiations between the government and groups of stakeholders.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e65751</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e65751</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65751/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65751/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e61357</identifier>
        <datestamp>2021-07-06</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Organic matter temporal dynamics in the river ecosystem basin using remote sensing</dc:title>
          <dc:creator>Trifonova,Tatiana</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-3643-3129">Mishchenko,Natalia</dc:creator>
          <dc:creator>Shutov,Pavel</dc:creator>
          <dc:subject>landscapes</dc:subject>
          <dc:subject>river basin</dc:subject>
          <dc:subject>phytoproductivity dynamics</dc:subject>
          <dc:subject>remote sensing data</dc:subject>
          <dc:subject>carbon balance</dc:subject>
          <dc:source>One Ecosystem 6: e61357</dc:source>
          <dc:description>Environmental research addresses ecosystems of various hierarchical levels. One of the ecosystem types is the river basin. The basin approach has been applied in the research. We consider the river basin as a single ecosystem of complex landscape structure. The research objective was to assess the biological processes in various landscapes within a holistic natural geosystem &#x2013; a catchment area. The Klyazma River Basin (a part of the Volga River of 40 thousand km2 area) was the research object. It is a complex combination of different landscapes, each marked by a diverse composition of geomorphological and soil-vegetation structures. According to the geomorphological structure and soil and vegetation cover, four landscape provinces and eight key sites have been identified in the studied catchment area where the ecosystem parameter have been measured. The study is based on remote sensing data and the Trends. Earth Land Degradation Monitoring. The calculation of productivity indicators (GPP, NPP) in carbon units and the land use structure analysis are based on Modis data. The soil organic carbon pool was determined by the UN FAO&#x2019;s data, based on Trends. Earth and QGIS 2.18. The two-factor variance analysis ANOVA has been used for the data statistic processing. The cartographic analysis of the land use structure dynamics of the entire Klyazma Basin resulted in revealing the areas where various land transitions from one category to another have been identified. They are basically associated with the agricultural land overgrowth. The forest area increased by 9% during the period from 2001 to 2017. Considerable increase in the waterlogged, wetlands areas was observed in the eastern part of the Basin, in the Volga-Klyazma Province. The landscapes react differently to changes in climatic parameters and land use. Thus, the active revegetation of farmland by forests gives the increased rate of carbon accumulation in the soil. Landscapes covered with grasses and shrubs are more productive those covered with forest. On the other hand, woody biotopes are more stable in their development over time. Statistical analysis using the two-factor variation analysis ANOVA method resulted in demonstrating that phytoproductivity dynamics of the key sites does not depend on their productivity parameters nor on the site landscape structure, but is mainly determined by a time factor. In different landscapes the biological processes, characterising the organic matter dynamics in the form of plant production, organic matter accumulation and others are shown to differ both in rate and intensity and ambiguously respond to changes in climate parameters and land use. The river basin, as a single ecosystem, showed sufficient stability of the dynamic processes. This suggests that holistic natural ecosystems, such as catchment areas, have internal compensatory mechanisms that maintain the development stability for a long time, while unplanned land use remains the main damaging factor.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e61357</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e61357</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/61357/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/61357/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e67320</identifier>
        <datestamp>2021-07-08</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>A protocol for modelling generalised biological responses using latent variables in structural equation models</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-6374-4726">Grace,James</dc:creator>
          <dc:creator>Steiner,Magdalena</dc:creator>
          <dc:subject>generalised responses</dc:subject>
          <dc:subject>latent variables</dc:subject>
          <dc:subject>multivariate responses</dc:subject>
          <dc:subject>statistical modelling</dc:subject>
          <dc:subject>structural equation modelling</dc:subject>
          <dc:source>One Ecosystem 6: e67320</dc:source>
          <dc:description>In this paper, we consider the problem of how to quantitatively characterise the degree to which a study object exhibits a generalised response. By generalised response, we mean a multivariate response where numerous individual properties change in concerted fashion due to some internal integration. In latent variable structural equation modelling (LVSEM), we would typically approach this situation using a latent variable to represent a general property of interest (e.g. performance) and multiple observed indicator variables that reflect the specific features associated with that general property. While ecologists have used LVSEM in a number of cases, there is substantial potential for its wider application. One obstacle is that LV models can be complex and easily over-specified, degrading their value as a means of generalisation. It can also be challenging to diagnose causes of misspecification and understand which model modifications are sensible. In this paper, we present a protocol, consisting of a series of questions, designed to guide the researchers through the evaluation process. These questions address: (1) theoretical development, (2) data requirements, (3) whether responses to perturbation are general, (4) unique reactions by individual measures and (5) how far generality can be extended. For this illustration, we reference a recent study considering the potential consequences of maintaining biodiversity as part of agricultural management on the overall quality of grapes used for wine-making. We extend our presentation to include the complexities that occur when there are multiple species with unique reactions.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e67320</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e67320</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/67320/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/67320/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e68408</identifier>
        <datestamp>2021-08-09</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Morphological features, productivity and pollution state of abandoned agricultural soils in the Russian Arctic (Yamal Region)</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-2600-5494">Nizamutdinov,Timur</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5248-9018">Abakumov,Evgeny</dc:creator>
          <dc:creator>Morgun,Evgenya</dc:creator>
          <dc:subject>postagrogenic soils</dc:subject>
          <dc:subject>permafrost</dc:subject>
          <dc:subject>nutrients</dc:subject>
          <dc:subject>pollution status</dc:subject>
          <dc:subject>Arctic</dc:subject>
          <dc:source>One Ecosystem 6: e68408</dc:source>
          <dc:description>Recently, questions about the return of the concept of Arctic agriculture in order to promote sustainable development of the northern regions and ensure food security have been raised more often. The re-involvement of previously-used and abandoned soils into agricultural usage can provide an essential contribution for the development of the Arctic regions. We conducted a comprehensive research of soils with different levels of abandonment in the central part of the Yamal Region (Russia) and compared their morphological features, chemical and physical properties, fertile qualities and the level of contamination with heavy and trace metals to background soils of the region. It has been noted that there are no evident features of cryoturbation processes in the profiles of abandoned agricultucal soils and regular changes in the redox regime, as a consequence of the presence of reductimorphic spots in the soil profiles, have been recorded. Soil organic matter (SOM) stock in the topsoil of abandoned soils is estimated as medium and has a similar level to the stocks of total organic matter in the agricultural soils of the Arctic circumpolar region (Norway, Sweden, and Finland). Statistically significant differences in the content of nutrients between abandoned and background soils were recorded which indicates stability of the soil nutritional state during different abandoned states. Particularly notable are the differences between the content of available forms of phosphorus. The results of the study revealed significant differences between soils of various periods of abandonment and the background soils of the Yamal Region. Abandoned soils can be used for ground and greenhouse agriculture, these soils having a high level of fertility and are not limited for use in agriculture by the level of contamination with heavy and trace metals. According to the character of trace metal contamination, abandoned and background soils are evaluated as uncontaminated on the base of Zc and Igeo indices values. Reuse of the previously abandoned soils can undoubtedly become the basis for increasing agricultural production and ensuring food security in the Yamal Region.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e68408</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e68408</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/68408/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/68408/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e70919</identifier>
        <datestamp>2021-09-03</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Economic mapping and assessment of Cymodocea nodosa meadows as nursery grounds for commercially important fish species. A case study in the Canary Islands</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-6055-692X">Casas-Mas,Enrique</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1086-8762">Mart&#xED;n Garc&#xED;a,Laura</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4841-1565">Otero Ferrer,Francisco</dc:creator>
          <dc:creator>Tuya,Fernando</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-1348-692X">Haroun,Ricardo</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-6853-4442">Arbelo,Manuel</dc:creator>
          <dc:subject>Cymodocea nodosa</dc:subject>
          <dc:subject>seagrass meadows</dc:subject>
          <dc:subject>habitat suitability mapping</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>value transfer methodology</dc:subject>
          <dc:subject>Canary Islands.</dc:subject>
          <dc:source>One Ecosystem 6: e70919</dc:source>
          <dc:description>Cymodocea nodosa seagrass meadows provide several socio-economically ecosystem services, including nurseries for numerous species of commercial interest. These seagrasses are experiencing a worldwide decline, with global loss rates approaching 5% per year, mainly related to coastal human activities. Cymodocea nodosa, the predominant seagrass in the Canary Archipelago (Spain), is also exposed to these threats, which could lead to habitat loss or even local disappearance. In this case study, we estimated the potential economic value of Cymodocea nodosa seagrass meadows for local fisheries at an archipelago scale. Habitat suitability maps were constructed using MAXENT 3.4.1, a software for modelling species distributions by applying a maximum entropy machine-learning method, from a set of environmental variables and presence and background records extracted from historical cartographies. This model allows characterising and assessing the C. nodosa habitat suitability, overcoming the implicit complexity derived from seasonal changes in this species highly dynamic meadows and using it as a first step for the mapping and assessment of ecosystem services. In a second step, value transfer methodologies were used, along with published economic valuations of commercially-interesting fish species related to C. nodosa meadows. We estimate that the potential monetary value of these species can add up to more than 3 million euros per year for the entire Archipelago. The simplicity of the proposed methodology facilitates its repeatability in other similar regions, using freely available data and hence, being suitable for data-scarce scenarios.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e70919</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e70919</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/70919/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/70919/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e69119</identifier>
        <datestamp>2021-11-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-2134-0429">Sieber,Ina</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-5092-7686">Hinsch,Malte</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7248-8322">Verg&#xED;lio,Marta</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-4450-8167">Gil,Artur</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:subject>InVEST</dc:subject>
          <dc:subject>ecosystem services modelling</dc:subject>
          <dc:subject>Islands</dc:subject>
          <dc:subject>geospatial data</dc:subject>
          <dc:source>One Ecosystem 6: e69119</dc:source>
          <dc:description>Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2) the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery. The InVEST model suite was applied, modelling altogether six ES (Recreation/Visitation, Pollination, Carbon Storage, Nutrient Delivery Ratio, Sediment Delivery Ratio and Seasonal Water Yield). Model outcomes of the three LULC datasets were compared in terms of similarity, performance and applicability for the user. For some InVEST modules, such as Pollination and Recreation, the differences in the LULC datasets had limited influence on the model results. For InVEST modules, based on more complex calculations and processes, such as Nutrient Delivery Ratio, the output ES maps showed a skewed distribution of ES supply. Yet, model results showed significant differences for differences in all modules and all LULCs. Understanding how differences arise between the LULC input datasets and the respective effect on model results is imperative when computing model-based ES maps. The choice for selecting appropriate LULC data should depend on: 1) the research or policy/decision-making question guiding the modelling study, 2) the ecosystems to be mapped, but also on 3) the spatial resolution of the mapping and 4) data availability at the local level. Communication and transparency on model input data are needed, especially if ES maps are used for supporting land use planning and decision-making.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e69119</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e69119</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/69119/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/69119/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e74170</identifier>
        <datestamp>2021-12-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Adequacy of ecosystem services assessment tools and approaches to current policy needs and gaps in the European Union Overseas entities</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-4483-4480">Tr&#xE9;garot,Ewan</dc:creator>
          <dc:creator>Failler,Pierre</dc:creator>
          <dc:subject>European Union Overseas entities</dc:subject>
          <dc:subject>ecosystem services valuation tools</dc:subject>
          <dc:subject>decision-support</dc:subject>
          <dc:subject>policy needs</dc:subject>
          <dc:subject>MOVE project</dc:subject>
          <dc:source>One Ecosystem 6: e74170</dc:source>
          <dc:description>The paper presents the current policy needs and gaps identified in the European Union (EU) Outermost Regions and Overseas Countries and Territories to implement Mapping and Assessment of Ecosystem and their Services (MAES) methodology. Then, a selection of the most appropriate tools and methods for mapping and assessing ecosystem services (biophysical, economic, socio-cultural &#x2013; and decision-support) is provided to address local needs. Using a performance matrix to assess the effectiveness, efficiency and sustainability of these tools, key factors required to facilitate the implementation of an ecosystem services framework are identified by considering local needs and possibilities in terms of data availability, mapping support, ecosystem services assessment and decision-support. Our results show how effective and accurate various methods (e.g. process-based models, integrated modelling and most Decision-Supporting Tools) can be, or how efficient other methods are (e.g. value transfer, spatial proxy methods and replacement cost) in data-scarce regions. Participatory approaches score well in terms of sustainability as they allow the assessment of multiple ecosystem services (covering the biophysical, economic and social-cultural components of the assessment) with local stakeholders' contribution, therefore contributing to the awareness-raising dimension. There is no one-size-fits-all approach. Instead, there is a need for flexible, guidance-based ecosystem services mapping and assessment approaches in the EU Overseas entities to facilitate MAES implementation and to adapt and integrate those methods into scenario analysis and decision-supporting tools for better uptake of MAES outputs at the decision-making and policy levels in the EU Overseas entities.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e74170</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e74170</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/74170/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/74170/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e73269</identifier>
        <datestamp>2021-12-02</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Independent components of spatial-temporal structure of chlorophyll a patterns in the upper layer of the north-western shelf of the Black Sea</dc:title>
          <dc:creator>Kyrylenko,Natalya</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-3064-2613">Evstigneev,Vladyslav</dc:creator>
          <dc:subject>independent component analysis</dc:subject>
          <dc:subject>chlorophyll a</dc:subject>
          <dc:subject>the Black Sea</dc:subject>
          <dc:subject>satellite-derived patterns</dc:subject>
          <dc:source>One Ecosystem 6: e73269</dc:source>
          <dc:description>In the present study, the results of independent component decomposition of satellite-derived chlorophyll a (Chla) patterns for the north-western part of the Black Sea are presented. The study has been carried out on the basis of the DINEOF-reconstructed dataset of 8-day average log-transformed Chla (alChla) patterns for 1997-2016. The alChla patterns were decomposed into six independent components of its spatio-temporal variability in the north-western shelf of the Black Sea. The independent components reflect the spatial distribution of alChla anomalies which are likely to be formed under the influence of sea circulation factors driven by wind. The paper presents the results of the analysis of the intra-annual variability of independent components. The interpretation of the patterns of intra-annual independent components variability is given, taking into account the seasonal variability of the wind factor, the flow of the Danube, the Dnieper and Southern Bug rivers and the fact of modulation of independent components dynamics by seasonal phytoplankton succession.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e73269</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e73269</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/73269/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/73269/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e65966</identifier>
        <datestamp>2021-12-07</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Conceptualising the demand for ecosystem services &#x2013; an adapted spatial-structural approach</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-3160-4782">Dworczyk,Claudia</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-8636-9009">Burkhard,Benjamin</dc:creator>
          <dc:subject>service providing area</dc:subject>
          <dc:subject>service benefitting area</dc:subject>
          <dc:subject>service demanding area</dc:subject>
          <dc:subject>service connecting area</dc:subject>
          <dc:source>One Ecosystem 6: e65966</dc:source>
          <dc:description>People require multiple ecosystem services (ES) to meet their basic needs and improve or maintain their quality of life. In order to meet these needs, natural resources are exploited, threatening biodiversity and increasing the pressure on the Earth's ecosystems.Spatial-structural approaches are used to explain and visualise the spatial relationships and connections between areas that provide and benefit from ES. However, areas where the demand for these ES occurs are rarely considered in existing spatial approaches or equated with areas where people can use the benefits.In order to highlight the differences between these two areas, we would like to introduce the 'Service Demanding Area' (SDA) in an adapted spatial-structural approach.This approach relates SDA to already familiar ES provision and use units, namely Service Providing Areas (SPA), Service Connecting Areas (SCA) and Service Benefitting Areas (SBA) and can be used to schematically illustrate, understand and analyse the different forms of demand that can emerge.A literature review was conducted to provide an overview of the spatial mapping of ES demand. Three issues arose that should be addressed to improve the assessment of ES demand: 1) The term ES demand is not used consistently. To avoid confusion, it is important to clarify how ES demand is understood and how it differs from the other components of the ES concept (e.g. ES supply, ES potential, ES flow); 2) It is important to consider that ES demand is multi-faceted and is generated on different geographical scales, including the full range of stakeholders' perceptions, needs and desires which broadens the picture of societal demand for ES; 3) Meaningful interpretations between ES supply and demand need to be available to inform decision-makers about interventions for reducing ES trade-offs and mismatches.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e65966</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e65966</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65966/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65966/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e71033</identifier>
        <datestamp>2021-12-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Linking ecosystem services and the Sustainable Development Goals in Small Island Developing States: the case of Aruba</dc:title>
          <dc:creator>Palacios,Elena</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7146-4409">van Beukering,Pieter</dc:creator>
          <dc:creator>van Zanten,Boris</dc:creator>
          <dc:creator>Lacle,Francielle</dc:creator>
          <dc:creator>Schep,Stijn</dc:creator>
          <dc:creator>Soellner,Inga</dc:creator>
          <dc:subject>Ecosystem Services</dc:subject>
          <dc:subject>Small Island Developing States</dc:subject>
          <dc:subject>Subnational Island Jurisdictions</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>Sustainable Development Goals</dc:subject>
          <dc:source>One Ecosystem 6: e71033</dc:source>
          <dc:description>The economy and well-being in Small Island Developing States (SIDS) and other Subnational Island Jurisdictions (SNIJ) highly rely on marine and coastal ecosystem services (ESS). Moreover, SIDS and SNIJ share common challenges in achieving the Sustainable Development Goals (SDGs). Building a fact-based solution to demonstrate the link between ESS and SDGs is essential for nature conservation and sustainable development in SIDS and SNIJ. In this study, we developed a 5-step approach to capture the contribution of ESS to the achievement of SDGs in Aruba by means of a shortlist of indicators, with the aim to provide information for optimal policy investments to implement the Aruba 2030 roadmap. The results numerically and spatially demonstrate the contribution of fisheries, nature-based tourism and local cultural recreational ESS to achieve SDG targets 14.7 (increase SIDS' economic benefits from sustainable use of marine resources), 8.9 (devise and implement policies to promote sustainable tourism) and 3.4 (promote mental health and well-being); and how investing in these key ESS could lead to multiplying co-benefits for other SDGs. This paper also discusses how the 5-step approach and the outcomes can be used to assist other SIDS and SNIJ in their ambitions to meet the SDGs.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e71033</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e71033</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/71033/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/71033/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e72881</identifier>
        <datestamp>2021-12-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping the economic loss of ecosystem services caused by the invasive plant species Antigonon leptopus on the Dutch Caribbean Island of St. Eustatius</dc:title>
          <dc:creator>Huisman,Seringe</dc:creator>
          <dc:creator>Jesse,Wendy</dc:creator>
          <dc:creator>Ellers,Jacintha</dc:creator>
          <dc:creator id="https://orcid.org/0000-0001-7146-4409">van Beukering,Pieter</dc:creator>
          <dc:subject>BES Islands</dc:subject>
          <dc:subject>Coralita</dc:subject>
          <dc:subject>economic value</dc:subject>
          <dc:subject>invasive species</dc:subject>
          <dc:subject>spatial assessment</dc:subject>
          <dc:subject>scenario mapping</dc:subject>
          <dc:source>One Ecosystem 6: e72881</dc:source>
          <dc:description>Invasive species are a worldwide threat to biodiversity, especially on Caribbean islands. Through their impact on the structure and functioning of ecosystems, they also affect ecosystem services. Therefore, invasive species can have profound socio-economic effects. On the Dutch Caribbean Island of St. Eustatius, the invasive perennial vine Coralita is present on roughly 33% of the Island. While ecological damage is evident, effective management strategies are still lacking. This study links the ecological, cultural and societal effects of the invasion to the economy of the Island by estimating the ecosystem service losses due to Coralita in monetary value. We have spatially assessed the economic value of five main ecosystem services (tourism, non-use value, carbon sequestration, archaeology and local cultural and recreational value) to the different habitats on the Island and estimated the loss of these values under three scenarios of Coralita cover: 0%, 3% and 36% dominant cover. The baseline scenario of 0% demonstrated a total ecosystem service value of $2.7 million per year, concentrated on the Quill volcano. The 3% and 36% scenario showed a yearly loss of $39,804 and $576,704, respectively, with the largest losses located on the northern and eastern slopes of the Quill. These areas should be prioritised for management and the known potential gain per area enables choice of strategy, based on cost-benefit considerations. To reduce further economic loss by Coralita, we urgently advise an immediate management strategy and ongoing research into eradication and restoration methods.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e72881</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e72881</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/72881/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/72881/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e74260</identifier>
        <datestamp>2021-12-13</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Plant and seed germination responses to global change, with a focus on CO2: A review</dc:title>
          <dc:creator>Debouza,Nour ElHouda</dc:creator>
          <dc:creator>Babu Thruppoyil,Shaijal</dc:creator>
          <dc:creator>Gopi,Karthika</dc:creator>
          <dc:creator>Zain,Sabika</dc:creator>
          <dc:creator>Ksiksi,Taoufik</dc:creator>
          <dc:subject>global change</dc:subject>
          <dc:subject>climate change</dc:subject>
          <dc:subject>seed germination</dc:subject>
          <dc:subject>plants</dc:subject>
          <dc:subject>CO2</dc:subject>
          <dc:source>One Ecosystem 6: e74260</dc:source>
          <dc:description>Earth atmospheric CO2 concentration has risen by over 35% since 1750 and is presently increasing by about 2 parts per million (ppm) every year. Due to contributions from human activity, CO2 is projected to keep rising in the predictable future and to double sometime during this century if fossil fuels burning remains. As a result, air temperature is projected to rise from 2 to 5 &#xB0;C by 2100. Following this rise in CO2, some ecosystems will face challenges in the next few decades as plants will live in warmer temperatures, higher evaporating demand and widespread changes in drought lengths and severity. To yield healthy crops and forests in changing climate surroundings, it is vital to define whether elevated CO2 disturbs seed germination and plant formation, but even more, the physiological traits conferring drought tolerance. Here, we review the current understanding on the role that CO2 plays on plant growth and seed germination, as well as its impact during the exposure of abiotic stresses like drought and salinity.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Review Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e74260</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e74260</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/74260/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/74260/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e65706</identifier>
        <datestamp>2021-12-16</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Ecosystem-based adaptation to climate change through residential urban green structures: co-benefits to thermal comfort, biodiversity, carbon storage and social interaction</dc:title>
          <dc:creator>Schmidt,Katja</dc:creator>
          <dc:creator>Walz,Ariane</dc:creator>
          <dc:subject>courtyards</dc:subject>
          <dc:subject>PET</dc:subject>
          <dc:subject>biophysical assessment</dc:subject>
          <dc:subject>socio-cultural valuation</dc:subject>
          <dc:subject>climate adaptation</dc:subject>
          <dc:source>One Ecosystem 6: e65706</dc:source>
          <dc:description>Climate change adaptation is essential to mitigate risks, such as extreme weather events triggered by global warming and amplified in dense urban environments. Ecosystem-based adaptation measures, such as urban greening, are promoted in cities because of their flexibility and their positive side effects, such as human health benefits, ecological effects, climate mitigation and a range of social benefits. While individual co-benefits of greening measures are well studied, often in public green spaces, few studies quantify co-benefits comprehensively, leaving social benefits particularly understudied. In this study, we perform biophysical and socio-cultural assessments of co-benefits provided by semi-public, residential greening in four courtyards with varying green structures. We quantify effects on thermal comfort, biodiversity, carbon storage and social interaction. We further assess the importance of these co-benefits to people in the neighbourhood. Subsequently, we weight the results from the biophysical assessments with the socio-cultural values to evaluate how even small differences in green structures result in differences in the provision of co-benefits. Results show that, despite relatively small differences in green structures, the residential courtyards with a higher green volume clearly generate more co-benefits than the residential yards with less green, particularly for thermal comfort. Despite differences in the valuation of co-benefits in the neighbourhood, socio-cultural weights did not change the outcome of the comparative assessment. Our results highlight that a deliberate management strategy, possibly on neighbourhood-scale, could enhance co-benefits and contribute to a more sustainable urban development.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e65706</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e65706</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65706/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/65706/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.6.e76838</identifier>
        <datestamp>2021-12-22</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Developing peatland ecosystem accounts to guide targets for restoration</dc:title>
          <dc:creator id="https://orcid.org/0000-0003-2940-6445">Farrell,Catherine</dc:creator>
          <dc:creator>Coleman,Lisa</dc:creator>
          <dc:creator>Norton,Daniel</dc:creator>
          <dc:creator>Kelly-Quinne,Mary</dc:creator>
          <dc:creator>Obst,Carl</dc:creator>
          <dc:creator>Eigenraam,Mark</dc:creator>
          <dc:creator>O'Donoghue,Cathal</dc:creator>
          <dc:creator>Kinsella,Stephen</dc:creator>
          <dc:creator>Smith,Fiona</dc:creator>
          <dc:creator>Sheehy,Iseult</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2027-0863">Stout,Jane</dc:creator>
          <dc:subject>peatlands</dc:subject>
          <dc:subject>ecosystem accounting</dc:subject>
          <dc:subject>condition account</dc:subject>
          <dc:subject>reference condition</dc:subject>
          <dc:subject>restoration.</dc:subject>
          <dc:source>One Ecosystem 6: e76838</dc:source>
          <dc:description>The United Nations System of Environmental and Economic Accounting - Ecosystem Accounting (SEEA EA) is a geospatial approach, whereby existing data on ecosystem stocks and flows are collated to show changes over time. The framework has been proposed as a means to track and monitor ecosystem restoration targets across the EU. Condition is a key consideration in the conservation assessment of habitats protected under the EU Habitats Directive and ecosystem condition accounts are also integral to the SEEA EA. While SEEA EA accounts have been developed at EU level for an array for ecosystem types, condition accounts remain the least developed. Collating available datasets under the SEEA EA framework, we developed extent and rudimentary condition accounts for peatland ecosystems at catchment scale in Ireland. Information relating to peatland ecosystem sub-types or habitat types was collated for peatland habitats listed under Annex I of the EU Habitats Directive, as well as degraded peatlands not included in EU nature conservation networks. While data relating to peatland condition were limited, understanding changes in ecosystem extent and incorporating knowledge of habitat types and degradation served as a proxy for ecosystem condition in the absence of more comprehensive data. This highlighted the importance of the ecosystem extent account, which underpins all other accounts in the SEEA EA framework. Reflecting findings at EU level, drainage, disturbance and land conversion were identified as the main pressures affecting peatland condition. We highlighted a number of options to gather data to build more robust, time-series extent and condition accounts for peatlands at varying accounting scales. Overall, despite the absence of comprehensive data, bringing information under the SEEA EA framework is considered a good starting point, with the integration of expert ecological opinion considered essential to ensure development of reliable accounts, particularly when working at ecosystem sub-type (habitat type) and catchment scale.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2021</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.6.e76838</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.6.e76838</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/76838/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/76838/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.7.e78028</identifier>
        <datestamp>2022-01-10</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Cryoconites as biogeochemical markers of anthropogenic impact in high mountain regions: analysis of polyaromatic pollutants in soil-like bodies</dc:title>
          <dc:creator id="https://orcid.org/0000-0002-5248-9018">Abakumov,Evgeny</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-8018-7359">Kushnov,Ivan</dc:creator>
          <dc:creator id="https://orcid.org/0000-0003-2600-5494">Nizamutdinov,Timur</dc:creator>
          <dc:creator id="https://orcid.org/0000-0002-2342-4653">Tembotov,Rustam</dc:creator>
          <dc:subject>Central Caucasus</dc:subject>
          <dc:subject>glaciers</dc:subject>
          <dc:subject>soils</dc:subject>
          <dc:subject>polycyclic aromatic hydrocarbons</dc:subject>
          <dc:subject>pollution</dc:subject>
          <dc:subject>cryoconite</dc:subject>
          <dc:source>One Ecosystem 7: e78028</dc:source>
          <dc:description>The globalisation and omnidirectional character of anthropogenic processes has challenged scientists around the world to estimate the harmful effects of these processes on ecosystems and human health. Polycyclic aromatic hydrocarbons (PAHs) is one the most infamous group of contaminants, originated both from natural and anthropogenic processes. They could transport to high latitudes and altitudes through atmospheric long-distance transfer and further enter ecosystems of these vulnerable regions by deposition on terrestrial surfaces. An interesting object for tracking transboundary contamination processes in high mountain ecosystems is called cryoconite. Cryoconite, a dark-coloured supraglacial sediment which is abundant in polar and mountain environments, is considered as a storage of various pollutants, including PAHs. Thus, it may pose a risk for local human health and ecosystem through short-distance transfer. Studied cryoconite sediments were collected at the surface of Skhelda and Garabashi glaciers, Central Caucasus high-mountain region, as well as mudflow, moraine material and local soils at the Baksan Gorge in order to examine levels of their contamination. We analysed the content of 15 priority polyaromatic compounds from the US EPA list and used the method of calculation of PAHs isomer ratios with the purpose of identifying their source. To estimate their potential toxicity, Benzo[a]pyrene (BaP) equivalents were calculated. Maximum concentration was defined for NAP (84 ng&#xD7;g-1), PHE (40 ng&#xD7;g-1) and PYR (47 ng&#xD7;g-1), with the minimum concentration for ANT (about 1 ng&#xD7;g-1). The most polluted material is a cryoconite from Garabashi glacier because of local anthropogenic activities and long-distance transfer. High-molecular weight PAHs are dominated in PAHs composition of almost all samples. The most common sources of PAHs in studied materials are combustion processes and mixed pyrolytic/petrogenic origin. Toxicity levels of separate PAHs did not exceed the maximum permissible threshold concentrations values in most cases. However, the sum of PAHs in BaP equivalents exceed the threshold values in all samples, in some of them more than twice.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2022</dc:date>
          <dc:type>Research Article</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.7.e78028</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.7.e78028</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/78028/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/78028/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>10.3897/oneeco.7.e77584</identifier>
        <datestamp>2022-01-31</datestamp>
        <setSpec>oneecosystem</setSpec>
      </header>
      <metadata>
        <oai-dc:dc xmlns:oai-dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Mapping and assessment of ecosystem services at Troodos National Forest Park in Cyprus</dc:title>
          <dc:creator id="https://orcid.org/0000-0001-6797-2080">Kounnamas,Constantinos</dc:creator>
          <dc:creator>Marios,Andreou</dc:creator>
          <dc:subject>carbon storage</dc:subject>
          <dc:subject>Cyprus</dc:subject>
          <dc:subject>ecosystem services</dc:subject>
          <dc:subject>protected area</dc:subject>
          <dc:subject>Troodos</dc:subject>
          <dc:source>One Ecosystem 7: e77584</dc:source>
          <dc:description>Troodos National Forest Park is located in the centre of Troodos mountain range and it is one of the most important natural environments of Cyprus. It has been included to the Natura 2000 network of the Island due to its important natural ecosystems and its great biodiversity. Based on the Common International Classification of Ecosystem Services (CICES 5.1), 36 ecosystem services have been identified in the area. The majority of ecosystem services are concentrated at the Troodos peak and the nearby areas. The same pattern applies for the Cultural Services. Provisioning and Regulation-Maintenance services are concentrated at the centre and western part of the site. The site&#x2019;s habitat types were mapped and their distribution in the area is presented in respective maps. Carbon stored in plants was 622,705 tonnes in total (73.18 t C per ha), calculated as per habitat type (according to Directive 92/43/EEC - Habitats Directive) and as per TESSA habitat classification. Seven TESSA and 10 Annex I habitat types were identified. The largest part of the site is dominated by Evergreen Broadleaf Forests (7799 ha), followed by Mixed Forests (624 ha) and Deciduous Broadleaf Forests (60 ha). The carbon stock included in AGB (Above Ground Biomass), BGB (Below Ground Biomass), Dead Wood &amp; Litter and SOM (Soil Organic Matter) was evaluated for each habitat type. The annual carbon biomass removal (roundwood and fuelwood) is 80.82 t C y-1 (0.009 t C y-1 per ha), while the carbon sequestered in Troodos National Forest Park is 11,880.33 t CO2 eq y-1 (0.38 t C y-1 per ha). The information produced serves as a useful tool to competent authorities for raising awareness on the importance of ecosystem services and increase the public&#x2019;s support in the area&#x2019;s conservation.</dc:description>
          <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/2367-8194</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>CC BY 4.0</dc:rights>
          <dc:publisher>Pensoft Publishers</dc:publisher>
          <dc:date>2022</dc:date>
          <dc:type>Case Study</dc:type>
          <dc:format>text/html</dc:format>
          <dc:identifier>info:doi:10.3897/oneeco.7.e77584</dc:identifier>
          <dc:identifier>https://doi.org/10.3897/oneeco.7.e77584</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/77584/</dc:identifier>
          <dc:identifier>https://oneecosystem.pensoft.net/article/77584/download/pdf/</dc:identifier>
          <dc:language>en</dc:language>
        </oai-dc:dc>
      </metadata>
    </record>
    <resumptionToken completeListSize="229" cursor="0">cGFnZT0xJnNldD1vbmVlY29zeXN0ZW0mZnJvbT0mdW50aWw9Jm1ldGFkYXRhX3ByZWZpeD1vYWlfZGM=</resumptionToken>
  </ListRecords>
</OAI-PMH>
