One Ecosystem :
Data Paper (Generic)
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Corresponding author: Martin Schmidt (martin.schmidt@zalf.de)
Academic editor: Davide Geneletti
Received: 07 Feb 2018 | Accepted: 01 May 2018 | Published: 09 May 2018
© 2018 Martin Schmidt, Gunnar Lischeid, Claas Nendel
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:
Schmidt M, Lischeid G, Nendel C (2018) Data on and methodology for measurements of microclimate and matter dynamics in transition zones between forest and adjacent arable land. One Ecosystem 3: e24295. https://doi.org/10.3897/oneeco.3.e24295
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Ecosystems are often defined by visually perceived boundaries, while for many properties sharp boundaries are difficult to draw. Boundaries between terrestrial ecosystems have often been described with much emphasis on edge effects, which is the impact of the presence of one ecosystem on an adjacent ecosystem. At the boundary of forested and agricultural ecosystems, measurements of environmental variables exist almost only for the forested area, describing the extent of a transition zone and the rates of exchange of matter, energy and information from the zero line (edge) into the forest. The opposite direction has been nearly neglected so far. Microclimatic variables differ in magnitude in the transition zone between arable land and forest. They affect habitat properties, biotic activity, carbon and nitrogen stocks, as well as turn-over rates under the different input of organic matter.
We conducted microclimatic measurements in two 105 m long transects perpendicular to the boundaries in transition zones of forests to arable land for more than one year. In addition, we measured aboveground biomass, litterfall, soil carbon and nitrogen content. In this paper, we explain the measurement design and methodology as well as make the data openly accessible.
Edge effects, Ecological boundaries, Matter cycling, Fragmentation, Ecosystem services, Carbon, Nitrogen
In ecosystem ecology, the focus is most often on single ecotopes like forest ecosystems or agro-ecosystems. The edge effects are rarely accounted for. However, ecosystems are open and complex systems. They exchange matter, energy and information at their boundaries. The transition zones usually have steep environmental gradients and often have proved to be hotspots for biodiversity (
Following the logic of a single ecosystem, most experiments and samples were conducted in only one ecosystem. We conducted measurements in transects across boundaries of forest to arable land to explicitly overcome these constraints as well as boundaries of scientific fields. These measurements were conducted for more than one year comprising two growing seasons and one season of leaf fall. The purpose of these measurements was to gain insight into magnitude and extent of environmental gradients in the transition zone as a base for subsequent modelling studies.
This data paper is meant to a) explain the measurement design and methodology in detail, b) make all measured data openly accessible for re-use and c) make the editing of raw data transparent.
The measurement sites are located in north-east Germany in the federal state of Brandenburg. Two sites were selected according to 1) the homogeneity of tree species composition within the forest stands, 2) the size of the ecosystem patches (fragment), 3) the cardinal direction of their zero line (edge), 4) the age and management of the forest, 5) the homogeneity of the surrounding landscape, 6) the management of the agricultural land, 7) the distance to Müncheberg, Germany and 8) the willingness of farmers, forest managers and land owners to cooperate. According to this framework, the following specific criteria were set and evaluated using geographic information systems (GIS) to prepare the selection:
We identified an east-facing (the arable land is east of the forest) site in Ihlow, Germany (
The microclimate was measured in 105 m long transects with five weather stations – one at the zero line (edge), two in the arable land (see Fig.
The measurements started on 15 June 2016 and ended on 17 July 2017. The distances were chosen based on a previous literature analysis (
The following sensors were used (see Table
Information on the device name, accuracy, resolution and range of the sensors of the weather stations as well as the measurement height or depth and direction.
Device | Accuracy | Range | Resolution | Direction of measurement | Height or depth of measurements | |
Vapour pressure |
Decagon Devices VP-4 |
max. error: ± 0.5 kPa | 0 to 47 kPa | 0.001 kPa | N | ca. 2 m |
Humidity |
Decagon Devices VP-4 |
max. error: ± 5% | 0 – 100% RH | 0.1% RH | N | ca. 2 m |
Temperature |
Decagon Devices VP-4 |
max. error: ± 3°C | -40°C to +80°C | 0.1°C | N | ca. 2 m |
Atmospheric pressure |
Decagon Devices VP-4 |
0.4 kPa | 49 to 109 kPa | 0.01 kPa | N | ca. 2 m |
Soil moisture (Volumetric Water Content (VWC)) |
Decagon Devices 5TM |
± 0.03 m3/m3 | εa: 1 (air) to 80 (water) | 0.0008 m3 m-3 from 0 to 50% VWC | – | ca. -20 cm |
Soil temperature |
Decagon Devices 5TM |
± 1°C | 0.1°C | 0.1°C | – | ca. -20 cm |
Wind speed |
Decagon Devices DS-2 Sonic Anemometer |
0.30 m/s | 0 to 30 m/s | 0.01 m/s | – | ca. 2 m |
Wind direction |
Decagon Devices DS-2 Sonic Anemometer |
± 3° | 0° to 359° | 1° | – | ca. 2 m |
Precipitation forest |
UMS KIPP100 (area: 2 m, Fig. |
1% at 1 l h-1 | max. 5 l m-1 | 0.1 l | – | ca. 1 m |
Precipitation arable land |
Delta OHM HD2015 (area: 0,2 m, Fig. |
max. error 0.2 mm/tip | 0.1 – 0.2 mm/tip | – | ca. 1 m, >50 cm above crops | |
Solar radiation |
Decagon Devices PYR Solar Radiation Sensor |
± 5% |
380 – 1120 nm 0 – 1750 W m-2 |
S | ca. 2 m |
Biomass of crops
In 2016, at four plots of 1 m2 each and at 0 m, 7.5 m, 15 m, 30 m distance from the zero line, the aboveground biomass was harvested manually (Figs
Stem diameter and height of trees
At the end of April 2016 within the east-facing site and at the beginning of May within the west-facing site, we measured the stem perimeter at 1.3 m height above the ground and the height of the trees (Suppl. material
Litterfall
Litterfall was measured with buckets (see Fig.
The soil was sampled at two depths – 20±3 cm and 40±3 cm – along the transects (Figs
Soil classification according to WRB (
Site | Distance to edge [m] | Soil | Soil type in 20 cm | Soil type in 40 cm |
W | 60 | Cambisol arenic aric | Loamy sand | Loamy sand |
W | 30 | Protostagnic Cambisol loamic aric1 | Sandy loam | Sandy loam |
W | 15 | Cambisol arenic aric | Loamy sand | Loamy sand |
W | 0 | Protostagnic Cambisol arenic humic | Sandy loam | Sandy loam |
W | -35 | Cambisol arenic humic | Loamy sand | Sandy loam |
W | -70 | Protostagnic Cambisol loamic humic | Loamy sand | Sandy loam |
W | -105 | Cambisol arenic humic | Loamy sand | Loamy sand |
E | 60 | Protostagnic Cambisol loamic aric | Loamy sand | Loam |
E | 30 | Cambisol loamic aric humic | Loamy sand | Loamy sand |
E | 15 | Cambisol arenic aric humic | Loamy sand | Sandy loam |
E | 0 | Cambisol arenic humic | Loamy sand | Loamy sand |
E | -35 | Cambisol arenic humic | Loamy sand | Loamy sand |
E | -70 | Cambisol arenic humic | Loamy sand | Loamy sand |
E | -105 | Protostagnic Cambisol loamic humic | Sandy loam | Loam |
The microclimatic data from all ten weather stations were merged (see Suppl. material
We deleted two outliers for precipitation (error in measurements shortly after installation and the measurement date was wrong) and one for relative humidity (relative humidity of 4.8 not possible) from the whole data set.
The data logger (EM-50G) used the time zone of the plugged device. Due to that and the switch of standard time during the year, we had to unify the time to Central European Time (CET) manually.
We want to thank several people who helped to collect and analyse data and gave valuable suggestions for the measurement design: Felix Linde, Felix Engler, Pau Brunet Navarro, Tomas Selecky, Evelyn Wallor, Dennis Melzer, Kurt-Christian Kersebaum and Hubert Jochheim. Further, we want to thank Peter Weißhuhn and Jana Rumler for their helpful advice.
Measured values are indicated in the header by the variable (e.g. "SoilMoist") followed by the distance to the zero line (e.g. 30, indicated by XX in the description below). Date.Time is given as YYYY-MM-DD HH:MM:SS; SoilMoistXX is the soil moisture given in cm3 cm-3; SoilTempXX is the soil temperature given in °C; RelHumXX is the relative humidity given as dimensionless number; AirTempXX is the air temperature in °C; AirPressXX is the barometric air pressure given in kPa; SolarRadXX is the solar radiation given in W m-2; WindAvgXX is the average wind speed given in m s-1; WindMaxXX is the maximum wind speed given in m s-1; WindDirXX is the direction of the wind given in °; PrecXX is the precipitation given in mm; DistXX is the distance to the zero line (edge), positive values are in the arable land, negative values are in the forest, zero is the edge. For more details see "Microclimate". The data was edited according to "Data converting". Timezone: Central European Time (CET).
Measured values are indicated in the header by the variable (e.g. "SoilMoist") followed by the distance to the zero line (e.g. 30, indicated by XX in the description below). Date.Time is given as YYYY-MM-DD HH:MM:SS; SoilMoistXX is the soil moisture given in cm3 cm-3; SoilTempXX is the soil temperature given in °C; RelHumXX is the relative humidity given as dimensionless number; AirTempXX is the air temperature in °C; AirPressXX is the barometric air pressure given in kPa; SolarRadXX is the solar radiation given in W m-2; WindAvgXX is the average wind speed given in m s-1; WindMaxXX is the maximum wind speed given in m s-1; WindDirXX is the direction of the wind given in °; PrecXX is the precipitation given in mm; DistXX is the distance to the zero line (edge), positive values are in the arable land, negative values are in the forest, zero is the edge. For more details see "Microclimate". The data was edited according to "Data converting". Timezone: Central European Time (CET).
Explanation of header and data: Dist is the distance from the zero line (edge) into the arable land in m, 0 is the zero line; Crop refers to the species (see "Biomass of crops" for more details); DryMass is given in g per m2.
Explanation of header and data: Site is either west-facing or east-facing site (see "Measurement site"); Dist is the distance from the zero line (edge) to the forest interior in m, 0 is the zero line; Tree number refers to a unique tree (number) in the plot (letter); Perimeter is measured at 1.30 m from the ground and is given in cm; BHD is derived from the perimeter and given in cm; Height is the measured height of the trees in m.
Explanation of header and data: Dist is the distance to the zero line (edge) into the forest in m; Month is the period of time before litterfall was sampled (see "Litterfall" for details); DryMass is the weight of the dried litter in g, Site is either west-facing or east-facing (see "Measurement site" for details).
Explanation of header and data: Site is either west-facing or east-facing (see "Measurement site"); DistToEdge is the distance to the zero line (edge) in m, negative values are in the forest, positive values are in the arable land, zero is the edge; Repetition is the number of repetitions in the lab; Depth is measured in cm and is the depth of soil sampling ±3 cm; Ctot is the percentage (%) of total soil carbon content in the tested soil sample; Ntot is the percentage (%) of total soil nitrogen content in the tested soil sample and pH is the numeric scale to specify the acidity or basicity of the soil sample in solution.