One Ecosystem :
Research Article
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Corresponding author: Zeynep Türkay (senkesenz@itu.edu.tr)
Academic editor: Leena Karrasch
Received: 23 Feb 2024 | Accepted: 17 May 2024 | Published: 23 May 2024
© 2024 Zeynep Türkay, Azime Tezer
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Türkay Z, Tezer A (2024) Contribution of integrated ecosystem services to urban planning tools: Can it be more functional for the sustainability of ecosystems? One Ecosystem 9: e121553. https://doi.org/10.3897/oneeco.9.e121553
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The biodiversity of ecosystems and their services (ecosystem services - ESs) are declining worldwide due to decisions regarding land-use/land-cover (LULC). As a result, global risks related to climate change are exacerbating as these areas are needed to adapt to climate change and mitigate these risks. The integration of ESs into spatial decision-making is seen as an opportunity to ensure their sustainability. Despite the scientific and practical studies on this issue, it is stated that more studies are needed to clarify how ESs will be used in spatial decision-making. The proposed approach as Integrated ESs (IESs), which builds on the LULC assessment, has the potential to develop ESs-based spatial decision-making by enabling comprehensive approaches to be made. This paper aims to evaluate the results of IESs assessment incorporated with scenario analysis in the context of the integration of ESs into spatial decision-making, to discuss the contributions that this integration can make to the sustainability of ESs in light of these results and to provide straightforward suggestions on how ESs can be linked to the spatial planning tools in Istanbul. The findings of the research prove that ESs in many contexts are relevant to various stages of spatial planning and a spatial decision-making approach that incorporates ES knowledge can contribute to ensuring the sustainability of ESs and achieving sustainable development.
Integrated ecosystem services (IESs), urban planning, land-use/land-cover (LULC), spatial decision-making, Istanbul
Global climate change due to land-use/land-cover (LULC) decisions, the quality of life and well-being of approximately 3.2 billion people worldwide are negatively affected and biodiversity with ecosystem services (ESs) are lost to the extent of 10% of global annual gross domestic product in terms of economic value (
Land uses associated with various ESs, such as food, fibre and freshwater, provide basic needs for human well-being. At the same time, decisions on these land uses can also lead to the degradation of other ESs/ecosystems essential for providing different ESs, in which, in the long term, ESs cannot be sustained, and human well-being is jeopardised (
The spatial planning system has long been recognised as containing important mechanisms for environmental protection. It is also recognised that there are various opportunities for using environmental information in land-use decisions in spatial planning (
Although the relevance of ESs to spatial decision-making has been recognised (
The content of the article will include:
Istanbul is situated northwest of Turkey and has a unique location, lying on two continents and serving as a crossroads between the Marmara and Black Seas (Fig.
Istanbul, being the financial focal point, attracts the largest share of national investments. This leads to significant changes in natural areas, such as forests, agricultural lands, pastures, coastal areas, wetlands and watersheds, which are critical for the sustainability of ESs. Analysing the effects of these land development interventions/different land-use decisions on the IES potential that the LULC of Istanbul offers is critical for the sustainability of ESs, mitigation of climate risks and achieving sustainable development in Istanbul.
The methodology proposed for the study consists of three steps:
For the first step, the baseline map used for the scenario modelling was developed from the open CORINE (Coordination of information on the environment land-cover (LC) data) (
Scenario analysis is a commonly used method to test various visions and assumptions and the outputs potentially guide spatial decision-making (
The axes and variables of the scenario storylines (adapted from
LULC (%) in each scenario (wetlands and waterbodies are classified in one class as wetlands covering a relatively small area).
The Business-as-Usual Scenario assumes that the LULC change between 1990 (
The Climate Change Adaptation Scenario assumes that the population growth is moderate, while the expansion of urbanised areas is minimal. Protecting and rehabilitating natural areas are prioritised actions for climate change adaptation.
The Maximum Development Scenario assumes that the current LULC change trend continues, the mega-projects that have already been included in the Revision Environmental Master Plan of Istanbul have been implemented and the LULC change brought about by this implementation has taken place.
The Maximum Conservation Scenario assumes that Istanbul's population and urbanised areas will stabilise. Protection and rehabilitation of natural land are prioritised actions.
The comprehensive approach “Integrated ES Potential” by
Calculated IES potential values and classes for the case study area (adapted from
Note: Scale from 0 to 0.47 = very low potential; 0.48 to 0.99 = low potential; 1.00 to 1.73 = medium potential; 1.74 to 3.09 = high potential; 3.10 to 3.23 = very high potential.
CORINE LULC class |
IES potential |
IES potential class |
|
1 |
Road and rail networks and associated land |
0.06 |
Very low potential |
2 |
Airports |
0.06 |
|
3 |
Construction sites |
0.06 |
|
4 |
Dump sites |
0.10 |
|
5 |
Industrial or commercial units |
0.19 |
|
6 |
Port areas |
0.35 |
|
7 |
Mineral extraction sites |
0.35 |
|
8 |
Continuous urban fabric |
0.48 |
Low potential |
9 |
Discontinuous urban fabric |
0.52 |
|
10 |
Sport and leisure facilities |
0.52 |
|
11 |
Sparsely vegetated areas |
0.65 |
|
12 |
Rice fields |
0.77 |
|
13 |
Vineyards |
0.90 |
|
14 |
Green urban areas |
1.00 |
Medium potential |
15 |
Beaches, dunes, sands |
1.00 |
|
16 |
Permanently irrigated areas |
1.19 |
|
17 |
Pastures |
1.32 |
|
18 |
Inland marshes |
1.32 |
|
19 |
Complex cultivation patterns |
1.35 |
|
20 |
Transitional woodland-shrub |
1.39 |
|
21 |
Non-irrigated arable land |
1.48 |
|
22 |
Fruit trees and berry plantations |
1.55 |
|
23 |
Coastal lagoons |
1.74 |
High potential |
24 |
Land principally occupied by agriculture, with significant areas of natural vegetation |
1.84 |
|
25 |
Natural grasslands |
1.87 |
|
26 |
Watercourses |
1.87 |
|
27 |
Waterbodies |
2.10 |
|
28 |
Sea and ocean |
2.26 |
|
29 |
Coniferous forest |
3.10 |
Very high potential |
30 |
Broad-leaved forest |
3.13 |
|
31 |
Mixed forest |
3.23 |
Changes in IES potentials (in %) in each scenario compared to the current situation.
IES potential change / Scenario |
Climate Change Adaptation |
Maximum Development |
Maximum Conservation |
Business-as-Usual |
Change (%) |
Change (%) |
Change (%) |
Change (%) |
|
Increased IES potential |
0.03 |
2.61 |
4.26 |
0.00 |
Decreased IES potential |
0.00 |
14.16 |
0.00 |
6.05 |
No change |
97.28 |
83.22 |
95.74 |
93.95 |
This section gives the spatial results obtained as maps and quantitative results of the proposed methodology. First, the results related to scenario analysis are presented, followed by the results of the IESs assessments.
If the change of high and very high IES potential areas, which represent areas of critical importance for all scenarios, is analysed compared to the current situation, it can be seen that there is a sharp decrease in both high IES potential areas (-6.87%) and very high IES potential areas (-6.14%) in the Maximum Development Scenario. These critical areas are increasing in the Climate Change Adaptation Scenario. However, the sharp increase in these areas is in the Maximum Conservation Scenario, with an areal increase of 2.16% and 9.68% in high and very high IES potential areas, respectively. Very low and low IES potential areas are increasing for the Maximum Development Scenario and the Business-as-Usual Scenario. The areal changes in IES potential classes for each of the scenarios compared to the current situation are given in Table
IES potential change (in ha and %) in each scenario compared to the current situation.
IES potential class / Scenario |
Climate Change Adaptation |
Maximum Development |
Maximum Conservation |
Business-as-Usual |
||||
Change (ha) |
Change (%) |
Change (ha) |
Change (%) |
Change (ha) |
Change (%) |
Change (ha) |
Change (%) |
|
Very low potential |
-1936.09 |
-4.04 |
15580.93 |
32.51 |
-2417.68 |
-5.04 |
10200.72 |
21.28 |
Low potential |
948.41 |
1.30 |
33829.31 |
46.37 |
923.92 |
1.27 |
21041.71 |
28.84 |
Medium potential |
-12333.86 |
-7.56 |
-32970.63 |
-20.20 |
-20420.78 |
-12.51 |
-26796.80 |
-16.42 |
High potential |
-1615.36 |
-3.49 |
-3175.85 |
-6.87 |
998.87 |
2.16 |
-106.07 |
-0.23 |
Very high potential |
14936.90 |
6.92 |
-13263.76 |
-6.14 |
20915.67 |
9.68 |
-4339.56 |
-2.01 |
The IES Potential Maps for the scenarios are shown in Fig.
Maps showing the changes in IES potentials of the scenarios (Red = loss of IES potential; green = gain of IES potential; beige = no change in IES potential).
The significant decrease in the high and very high IES potential areas calculated for the Maximum Development Scenario quantitatively is noticeable, especially in the area where the Canal Istanbul is planned to be constructed (
The LULC maps modelled with the Scenario Generator Model (
In this study, four different scenarios, reflecting different perspectives and approaches to conservation and development, are first developed to see the spatial consequences of these different land developments on LULC. The scenario analysis reveals that the development-driven scenarios favour built-up areas by decreasing natural areas. On the other hand, in conservation-driven scenarios, agricultural areas, forests and semi-natural areas are more widespread than in the current situation (Fig.
The results obtained as the IES Potential Maps have the capacity to guide spatial planning by showing the impacts of different land-use decisions. The mapping approach also enables the evaluation of the consequences of various land-use decisions in terms of IES potential change compared to the current situation. The proposed methodology makes it possible to interpret the consequences of different spatial decisions as impacts on IES potential. These results make it clear that the ESs concept is closely related to spatial decision-making. Accordingly, the following section provides suggestions and recommendations on how the proposed methodology can be integrated into spatial planning tools in Turkey and Istanbul.
In developing recommendations for integrating ESs into spatial planning tools in Istanbul, firstly, the extent to which existing policies, regulations and plans in Turkiye incorporate ESs' approach is analysed.
The ESs' approach is incorporated in several sectoral policies at different utilisation levels in Turkiye. As summarised by
In addition to watershed protection plans, the ESs' approach finds its place in the definitions of functional planning as well, in a concrete form and in a way that can be used in practice (
In addition to these, in Turkiye, The National Spatial Strategy Plan is still being prepared and the projects related to the development of this plan involve an ESs-based conservation approach (
ESs approach provides a framework to define and conceptualise the interconnections of nature and human well-being. It is also considered an essential common language amongst stakeholders, decision-makers from different sectors or actors from different spatial units with conflicts of interests (
Conceptual framework of ES knowledge use in different stages of the planning process (adapted from
ES information produced through these defined three modes (conceptual, strategic and instrumental) can be linked to many stages of spatial planning (Fig.
Integration of ESs into spatial planning (adapted from
In light of the Istanbul case study findings and the theoretical information related to integrating ESs into spatial decision-making, recommendations are developed for integrating ESs into spatial planning tools in Istanbul. These recommendations include high-level plans (Regional Plan and Environmental Master Plan).
The Regional Plan of Istanbul is “the setter of the socio-economic development trends, development potential, priority intervention areas and sectoral targets of the Istanbul Region. It aims to ensure sustainability and effective and appropriate use of resources. The Plan will determine the relationship between the plans, policies and strategies produced at the national level to ensure the Istanbul Region's socio-economic development”. “The Regional Plan is a top-scale plan that also guides the strategic plans to be prepared by public institutions, especially local governments” (
Within the scope of the Regional Plan preparation studies:
Within the Regional Plan:
Istanbul’s Environmental Master Plan can cover ESs in several sections. In the current Environmental Master Plan of Istanbul (
Within the Plan Systematics:
Within the Natural Structure Section:
Within the SWOT Analysis Section:
Within the Synthesis Section:
Within the Planning Approach Section:
Within the Plan Decisions Section:
In this way, the decision-making process related to Istanbul's Environmental Master Plan can be enhanced by integrating ESs to improve well-being and achieve sustainable development.
This study evaluates the integration and contribution of the ESs concept to spatial decision-making. The comprehensive approach, defined as the IES potential, combines scenario analysis for the case study area Istanbul. The IES potentials of Istanbul for each of the developed scenarios are evaluated and the change is assessed compared to the current situation, both quantitatively and spatially, to see the consequences of different land-use decisions and make an overall spatial assessment.
The results show significant decreases in very high and high IES potential areas in the Maximum Development and Business-as-Usual Scenarios, while these areas are increasing in the Maximum Conservation and Climate Change Adaptation Scenarios. This assessment showed that the ESs concept combined with the scenario analysis can contribute to spatial decision-making by providing a quantitative, qualitative and spatial understanding of the impacts of different land-use decisions in the context of ESs. The methodology incorporating the IES potential with scenario analysis reveals results that indicate the effects of different land development decisions on IESs, supporting the hypothesis that the utilisation of ESs in spatial planning can contribute to sustainable development by helping to achieve Cities and Communities (Goal 11) and Life on Land Goals (Goal 15). IESs integrated decision-making also helps to sustain ecosystems' health, which is related to Climate Action Goal (Goal 13) as stated by
In addition, an evaluation related to the inclusion of ESs in current policies, legislation and land-use plans in Turkiye is made to develop explicit recommendations for integrating ESs into spatial planning tools in Istanbul. The inclusion of ESs is common in legislation in Turkiye. However, in implementation, ESs are incorporated only in Watershed Protection Plans developed for Büyükçekmece and Melen Reservoir Watersheds (incorporated directly as ESs) and Forest Management Plans (incorporated indirectly as functions).
The ESs' concept enables different modes of knowledge production to be utilised in different spatial decision-making stages: conceptual, strategic and instrumental. This study developed recommendations for the association of these modes of use and the stages of spatial decision-making. As a further step, suggestions for using ESs in Istanbul’s high-level plans, which are considered the Regional Plan and the Environmental Master Plan, are developed to clarify the potential linkages between ESs and the content of the plans. The concept of ESs is highly relevant to both plans as ensuring sustainability and analysing the conflicts between nature and humans in the economy-ecology opposition are defined as the main aims of the plans. The involvement of ESs in high-level plans can contribute to sustaining the health of ecosystems and ESs, improving human well-being and achieving sustainable development.
Further research is required as this study has limitations regarding the consideration of only the potential side of ESs, lack of prioritisation with stakeholder considerations and the detail level of LULC data used. The first limitation of the study is that, although the CORINE LC data (
This manuscript has been developed as part of the corresponding author’s PhD research which was supported under 115K475- numbered and “Developing an Ecological Planning Based Participatory Planning Model for Spatial Risk Mitigation” titled research project of the Scientific and Technological Research Council of Türkiye (TUBITAK). Additionally, the corresponding author received funding of 2211/C National PhD Scholarship Program in the Priority Fields in Science and Technology of TUBITAK and the Council of Higher Education 100/2000 PhD Scholarship Program. We also would like to thank the editor and the reviewers for their constructive comments and suggestions, which improved our manuscript.
Conceptualisation: Zeynep Türkay, Azime Tezer; Methodology: Zeynep Türkay, Azime Tezer; Formal analysis and investigation: Zeynep Türkay; Writing – original draft preparation: Zeynep Türkay; Writing and editing: Zeynep Türkay, Azime Tezer; Funding acquisition: Azime Tezer; Resources: Zeynep Türkay, Azime Tezer; Supervision: Azime Tezer; Project administration: Azime Tezer.
The assumptions of land-use/land-cover replacements, the maximum size determined to be coverted and the number of runs of the Climate Change Adaptation, Maximum Conservation and Business-as-Usual Scenarios.