{"type": "FeatureCollection", "features": [{"id": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:19Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "Abstract<p>The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture\uffe2\uff80\uff90temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off\uffe2\uff80\uff90line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture\uffe2\uff80\uff90temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower\uffe2\uff80\uff90based results (r = 0.5\uffe2\uff80\uff930.7), with the multimodel mean performing similarly to the best\uffe2\uff80\uff90performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.</p>", "keywords": ["ENVIRONMENT SIMULATOR JULES", "FLUXES", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "models", "WATER", "SCALE", "Research Articles", "0105 earth and related environmental sciences", "land surface", "CARBON-DIOXIDE EXCHANGE", "eartH2Observe", "temperature", "15. Life on land", "DECIDUOUS FOREST", "CLIMATE", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "BALANCE", "land surface models", "SENSIBLE HEAT", "land-atmosphere interactions", "soil moisture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD027346"}, {"href": "https://doi.org/10.1002/2017JD027346"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017JD027346", "name": "item", "description": "10.1002/2017JD027346", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JD027346"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1002/2017jg004139", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:19Z", "type": "Journal Article", "created": "2017-12-12", "title": "Acclimation of Biogenic Volatile Organic Compound Emission From Subarctic Heath Under Long-Term Moderate Warming", "description": "Abstract<p>Biogenic volatile organic compound (BVOC) emissions from subarctic ecosystems have shown to increase drastically in response to a long\uffe2\uff80\uff90term temperature increase of only 2\uffc2\uffb0C. We assessed whether this increase takes place already after 3\uffc2\uffa0years of warming and how the increase changes over time. To test this, we measured BVOC emissions and CO2 fluxes in a field experiment on a subarctic wet heath, where ecosystem plots were subjected to passive warming by open top chambers for 3 (OTC3) or 13\uffc2\uffa0years (OTC13) or were kept as unmanipulated controls. Already after 3\uffc2\uffa0years of moderate temperature increase of 1\uffe2\uff80\uff932\uffc2\uffb0C, warming increased the emissions of isoprene (five\uffe2\uff80\uff90 to sixfold) and monoterpenes (three\uffe2\uff80\uff90 to fourfold) from the subarctic heath. The several\uffe2\uff80\uff90fold higher BVOC emissions in the warmed plots are likely a result of increased vegetation biomass and altered vegetation composition as a shift in the species coverage was observed already after 3\uffc2\uffa0years of warming. Warming also increased gross ecosystem production and ecosystem respiration, but the increases were much lower than those for BVOCs. Our results demonstrate that the strong BVOC responses to warming already appeared after 3\uffc2\uffa0years, and the BVOC and CO2 fluxes had acclimated to this warming after 3\uffc2\uffa0years, showing no differences with another 10\uffc2\uffa0years of warming. This finding has important implications for predicting CO2 and BVOC fluxes in subarctic ecosystems.</p>", "keywords": ["BVOC", "Arctic", "climate change", "tundra", "13. Climate action", "CO2 exchange", "11. Sustainability", "15. Life on land", "isoprene", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JG004139"}, {"href": "https://doi.org/10.1002/2017jg004139"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017jg004139", "name": "item", "description": "10.1002/2017jg004139", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017jg004139"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1016/j.atmosenv.2006.05.008", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:15:52Z", "type": "Journal Article", "created": "2007-01-27", "title": "Seasonal Soil And Leaf Co2 Exchange Rates In A Mediterranean Holm Oak Forest And Their Responses To Drought Conditions", "description": "Open AccessPeer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "Foliar net photosynthetic rates", "Drought", "Soil VOC exchange", "Microorganisms", "04 agricultural and veterinary sciences", "15. Life on land", "Soil CO2 flux", "Roots", "01 natural sciences", "6. Clean water", "Mediterranean holm oak forest", "13. Climate action", "Soil CO2 exchange", "Monoterpenes", "Climate change", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.atmosenv.2006.05.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.atmosenv.2006.05.008", "name": "item", "description": "10.1016/j.atmosenv.2006.05.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.atmosenv.2006.05.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-04-01T00:00:00Z"}}, {"id": "10.1038/s41467-019-12976-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:48Z", "type": "Journal Article", "created": "2019-11-01", "title": "Seasonal dynamics of stem N2O exchange follow the physiological activity of boreal trees", "description": "Abstract<p>The role of trees in the nitrous oxide (N2O) balance of boreal forests has been neglected despite evidence suggesting their substantial contribution. We measured seasonal changes in N2O fluxes from soil and stems of boreal trees in Finland, showing clear seasonality in stem N2O flux following tree physiological activity, particularly processes of CO2 uptake and release. Stem N2O emissions peak during\uffc2\uffa0the vegetation season, decrease rapidly in October, and remain low but significant to the annual totals during winter dormancy. Trees growing on dry soils even turn to consumption of\uffc2\uffa0N2O from the atmosphere during dormancy, thereby reducing their overall N2O emissions. At an\uffc2\uffa0annual scale, pine, spruce and birch are net N2O sources, with spruce being the strongest emitter. Boreal trees thus markedly contribute to the seasonal dynamics of ecosystem N2O exchange, and their species-specific contribution should be included into forest emission inventories.</p>", "keywords": ["EDDY COVARIANCE", "Science", "Nitrous Oxide", "NITROUS-OXIDE EMISSIONS", "Article", "CO2 EXCHANGE", "Trees", "CARBON-DIOXIDE", "Soil", "METHANE", "Taiga", "CH4 EMISSIONS", "SCOTS PINE", "Ecosystem", "Finland", "Plant Stems", "Atmosphere", "Q", "Forestry", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "FOREST", "Environmental sciences", "SOIL", "PLANT-GROWTH", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Methane"]}, "links": [{"href": "https://www.nature.com/articles/s41467-019-12976-y.pdf"}, {"href": "https://doi.org/10.1038/s41467-019-12976-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-019-12976-y", "name": "item", "description": "10.1038/s41467-019-12976-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-019-12976-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "10.1111/j.1469-8137.2010.03613.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:18:59Z", "type": "Journal Article", "created": "2011-01-19", "title": "Drought Alters Carbon Fluxes In Alpine Snowbed Ecosystems Through Contrasting Impacts On Graminoids And Forbs", "description": "\u2022 Climate change is predicted to increase the frequency of drought events in alpine ecosystems with the potential to affect carbon turnover. \u2022 We removed intact turfs from a Nardus stricta alpine snowbed community and subjected half of them to two drought events of 8 d duration under controlled conditions. Leachate dissolved organic carbon (DOC) was measured throughout the 6 wk study period, and a (13)CO(2) pulse enabled quantification of fluxes of recent assimilate into shoots, roots and leachate and ecosystem CO(2) exchange. \u2022 The amount of DOC in leachate from droughted cores was 62% less than in controls. Drought reduced graminoid biomass, increased forb biomass, had no effect on bryophytes, and led to an overall decrease in total above-ground biomass compared with controls. Net CO(2) exchange, gross photosynthesis and the amount of (13)CO(2) fixed were all significantly less in droughted turfs. These turfs also retained proportionally more (13)C in shoots, allocated less (13)C to roots, and the amount of dissolved organic (13)C recovered in leachate was 57% less than in controls. \u2022 Our data show that drought events can have significant impacts on ecosystem carbon fluxes, and that the principal mechanism behind this is probably changes in the relative abundance of forbs and grasses.", "keywords": ["0106 biological sciences", "leachate", "Carbon Isotopes", "Nardus stricta", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "net CO2 exchange", "dissolved organic carbon", "01 natural sciences", "plant diversity", "Carbon", "6. Clean water", "Droughts", "climate change", "13. Climate action", "Snow", "13CO(2)", "0401 agriculture", " forestry", " and fisheries", "Biomass", "Organic Chemicals", "Ecosystem"]}, "links": [{"href": "https://doi.org/10.1111/j.1469-8137.2010.03613.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1469-8137.2010.03613.x", "name": "item", "description": "10.1111/j.1469-8137.2010.03613.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1469-8137.2010.03613.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-19T00:00:00Z"}}, {"id": "10.5194/bg-17-1033-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:43Z", "type": "Journal Article", "created": "2020-02-26", "title": "\"Estimating causal networks in biosphere\u2013atmosphere interaction with the PCMCI approach\"", "description": "<p>Abstract. The dynamics of biochemical processes in terrestrial ecosystems are tightly coupled to local meteorological conditions. Understanding these interactions is an essential prerequisite for predicting, e.g. the response of the terrestrial carbon cycle to climate change. However, many empirical studies in this field rely on correlative approaches and only very few studies apply causal discovery methods. Here we explore the potential for a recently proposed causal graph discovery algorithm to reconstruct the causal dependency structure underlying biosphere\uffe2\uff80\uff93atmosphere interactions. Using artificial time series with known dependencies that mimic real-world biosphere\uffe2\uff80\uff93atmosphere interactions we address the influence of non-stationarities, i.e. periodicity and heteroscedasticity, on the estimation of causal networks. We then investigate the interpretability of the method in two case studies. Firstly, we analyse three replicated eddy covariance datasets from a Mediterranean ecosystem. Secondly, we explore global Normalised Difference Vegetation Index time series (GIMMS\uffc2\uffa03g), along with gridded climate data to study large-scale climatic drivers of vegetation greenness. We compare the retrieved causal graphs to simple cross-correlation-based approaches to test whether causal graphs are considerably more informative. Overall, the results confirm the capacity of the causal discovery method to extract time-lagged linear dependencies under realistic settings. For example, we find a complete decoupling of the net ecosystem exchange from meteorological variability during summer in the Mediterranean ecosystem. However, cautious interpretations are needed, as the violation of the method's assumptions due to non-stationarities increases the likelihood to detect false links. Overall, estimating directed biosphere\uffe2\uff80\uff93atmosphere networks helps unravel complex multidirectional process interactions. Other than classical correlative approaches, our findings are constrained to a few meaningful sets of relations, which can be powerful insights for the evaluation of terrestrial ecosystem models.                     </p>", "keywords": ["Agriculture and Food Sciences", "PINE FOREST", "Evolution", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "Behavior and Systematics", "Life", "QH501-531", "BEECH FOREST", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "NET ECOSYSTEM EXCHANGE", "Ecology", "CARBON-DIOXIDE EXCHANGE", "SPRUCE FOREST", "Geology", "WATER-VAPOR FLUXES", "15. Life on land", "13. Climate action", "GRANGER-CAUSALITY", "INTERANNUAL VARIABILITY", "GAS-EXCHANGE"]}, "links": [{"href": "https://bg.copernicus.org/articles/17/1033/2020/bg-17-1033-2020.pdf"}, {"href": "https://doi.org/10.5194/bg-17-1033-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-17-1033-2020", "name": "item", "description": "10.5194/bg-17-1033-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-17-1033-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-26T00:00:00Z"}}, {"id": "10.5194/bg-14-1969-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:42Z", "type": "Journal Article", "created": "2016-11-28", "title": "Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe", "description": "<p>Abstract. Recent satellite observations of sun-induced chlorophyll fluorescence (SIF) are thought to provide a large-scale proxy for gross primary production (GPP), thus providing a new way to assess the performance of land surface models (LSMs). In this study, we assessed how well SIF is able to predict GPP in the Fenno-Scandinavian region and what potential limitations for its application exist. We implemented a SIF model into the JSBACH LSM and used active leaf level chlorophyll fluorescence measurements (ChlF) to evaluate the performance of the SIF module at a coniferous forest at Hyyti\uffc3\uffa4l\uffc3\uffa4, Finland. We also compared simulated GPP and SIF at four Finnish micrometeorological flux measurement sites to observed GPP as well as to satellite observed SIF. Finally, we conducted a regional model simulation for the Fenno-Scandinavian region with JSBACH and compared the results to SIF retrievals from the GOME-2 (Global Ozone Monitoring Experiment-2) space-borne spectrometer and to observation-based regional GPP estimates. Both observations and simulations revealed that SIF can be used to estimate GPP at both site and regional scales. The GOME-2 based SIF was a better proxy for GPP than the remotely sensed fAPAR (fraction of absorbed photosynthetic active radiation by vegetation), even though high SIF values occurred during early spring at the northern latitudes, although these are not likely to be associated with photosynthesis.                         </p>", "keywords": ["EDDY COVARIANCE", "DATA ASSIMILATION SYSTEM", "FLUX MEASUREMENTS", "SCOTS PINE FOREST", "01 natural sciences", "7. Clean energy", "Ecology", " Evolution", " Behavior and Systematics; Earth-Surface Processes", "CO2 EXCHANGE", "PHOTOSYSTEM-II", "Life", "QH501-531", "QH540-549.5", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "BOREAL CONIFEROUS FOREST", "BIOCHEMICAL-MODEL", "Forestry", "Geology", "15. Life on land", "TERRESTRIAL CHLOROPHYLL FLUORESCENCE", "Physical sciences", "Environmental sciences", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "ENERGY-BALANCE", "ITC-GOLD"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/585578/2/bg-14-1969-2017.pdf"}, {"href": "https://bg.copernicus.org/articles/14/1969/2017/bg-14-1969-2017.pdf"}, {"href": "https://doi.org/10.5194/bg-14-1969-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-14-1969-2017", "name": "item", "description": "10.5194/bg-14-1969-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-14-1969-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-28T00:00:00Z"}}, {"id": "cee762f9-6697-4da3-acc7-17d06905e5da", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "robotics"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "robotic chamber system"}, {"id": "multifactorial small plot experiment"}, {"id": "topsoil dilution by subsoil admixture"}, {"id": "CO2 exchange measurements"}, {"id": "soil erosion state"}, {"id": "soil organic carbon stock changes"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-04-23", "type": "Dataset", "created": "2024-03-27", "language": "eng", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state - Plant analysis", "description": "This table contains analysis of plant contents.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-wae5-8137); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "opendata", "robotic chamber system", "multifactorial small plot experiment", "topsoil dilution by subsoil admixture", "CO2 exchange measurements", "soil erosion state", "soil organic carbon stock changes", "Boden", "Germany", "Brandenburg", "Uckermark", "Quillow", "Dedelow"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Shrijana Vaidya", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "vaidyashriju@gmail.com"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Mathias Hoffmann", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "mathias.hoffmann@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Maren Dubbert", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "maren.dubbert@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Katja Kramp", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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