{"type": "FeatureCollection", "features": [{"id": "10.1016/j.rser.2012.09.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:23Z", "type": "Journal Article", "created": "2012-10-04", "title": "Harmonising Bioenergy Resource Potentials\u2014Methodological Lessons From Review Of State Of The Art Bioenergy Potential Assessments", "description": "Published estimates of the potential of bioenergy vary widely, mainly due to the heterogeneity of methodologies, assumptions and datasets employed. These discrepancies are confusing for policy and it is thus important to have scientific clarity on the basis of the assessment outcomes. Such clear insights can enable harmonisation of the different assessments. This review explores current state of the art approaches and methodologies used in bioenergy assessments, and identifies key elements that are critical determinants of bioenergy potentials. We apply the lessons learnt from the review exercise to compare and harmonise a selected set of country based bioenergy potential studies, and provide recommendations for conducting more comprehensive assessments. Depending on scenario assumptions, the harmonised technical biomass potential estimates up to 2030 in the selected countries range from 5.2 to 27.3 EJ in China, 1.1 to 18.8 EJ in India, 2.0 to 10.9 EJ in Indonesia, 1.6 to 7.0 EJ in Mozambique and 9.3 to 23.5 EJ in the US. From the review, we observed that generally, current studies do not cover all the basic (sustainability) elements expected in an ideal bioenergy assessment and there are marked differences in the level of parametric detail and methodological transparency between studies. Land availability and suitability lack spatial detail and especially degraded and marginal lands are poorly evaluated. Competition for water resources is hardly taken into account and biomass yields are based mostly on crude ecological zoning criteria. A few studies take into account improvements in management of agricultural and forestry production systems, but the underlying assumptions are hardly discussed. Competition for biomass resources among the various applications is crudely analysed in most studies and key assumptions such as demographic dynamics, biodiversity protection criteria, etc. are not explicitly discussed. To facilitate more comprehensive bioenergy assessments, we recommend an integrated analytical framework that includes all the key factors, employs high resolution geo-referenced datasets and accounts for potential feedback effects.", "keywords": ["greenhouse-gas", "spatial-distribution", "0211 other engineering and technologies", "Review", "02 engineering and technology", "7. Clean energy", "12. Responsible consumption", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Biomass", "SDG 15 - Life on Land", "2. Zero hunger", "Energy", "Milieukunde", "Methodology", "bio-energy", "Scheikunde", "15. Life on land", "plantation biomass resources", "carbon sequestration", "6. Clean water", "integrated approach", "sustainable bioenergy", "land-use scenarios", "13. Climate action", "climate-change", "water-use", "Potential"]}, "links": [{"href": "https://doi.org/10.1016/j.rser.2012.09.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20and%20Sustainable%20Energy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rser.2012.09.002", "name": "item", "description": "10.1016/j.rser.2012.09.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rser.2012.09.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-01T00:00:00Z"}}, {"id": "10.3390/w13182569", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:50Z", "type": "Journal Article", "created": "2021-09-22", "title": "Integrated Water Quality Management Model for the Rural Transboundary River Basin\u2014A Case Study of the Sutla/Sotla River", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.</p></article>", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "environmental objectives WFD; integrated water quality management model; good water status; rural transboundary river basin; Sutla/Sotla; climate change; scenarios; SWAT; measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/10.3390/w13182569"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w13182569", "name": "item", "description": "10.3390/w13182569", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13182569"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "10.20944/preprints202009.0176.v1", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:20:40Z", "type": "Journal Article", "created": "2020-09-11", "title": "Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4&amp;permil;. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964-71 with 2-5&amp;permil; annual OC increase. The model estimated the annual C input in the arable soil layer as 1,900 kg&amp;middot;ha-1. For increasing OC stocks by 4&amp;permil; per year, one should raise input to 2400 kg&amp;middot;ha-1. Simulation was made for 2016-2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3&amp;permil; and 6&amp;permil; of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.</p></article>", "keywords": ["2. Zero hunger", "soil health", "S", "Chernozems", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "climatic change scenarios", "agricultural_sciences_agronomy", "13. Climate action", "soil organic matter", "greenhouse gases", "0401 agriculture", " forestry", " and fisheries", "long-term experiment"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://doi.org/10.20944/preprints202009.0176.v1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.20944/preprints202009.0176.v1", "name": "item", "description": "10.20944/preprints202009.0176.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20944/preprints202009.0176.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-08T00:00:00Z"}}, {"id": "10.3390/agronomy10101607", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:31Z", "type": "Journal Article", "created": "2020-09-11", "title": "Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4&amp;permil;. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964-71 with 2-5&amp;permil; annual OC increase. The model estimated the annual C input in the arable soil layer as 1,900 kg&amp;middot;ha-1. For increasing OC stocks by 4&amp;permil; per year, one should raise input to 2400 kg&amp;middot;ha-1. Simulation was made for 2016-2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3&amp;permil; and 6&amp;permil; of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.</p></article>", "keywords": ["2. Zero hunger", "soil health", "S", "Chernozems", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "climatic change scenarios", "agricultural_sciences_agronomy", "13. Climate action", "soil organic matter", "greenhouse gases", "0401 agriculture", " forestry", " and fisheries", "long-term experiment"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://doi.org/10.3390/agronomy10101607"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy10101607", "name": "item", "description": "10.3390/agronomy10101607", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy10101607"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-08T00:00:00Z"}}, {"id": "10.3390/land11060943", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:38Z", "type": "Journal Article", "created": "2022-06-19", "title": "The Effects of Soil Improving Cropping Systems (SICS) on Soil Erosion and Soil Organic Carbon Stocks across Europe: A Simulation Study", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Healthy soils are fundamental for sustainable agriculture. Soil Improving Cropping Systems (SICS) aim to make land use and food production more sustainable. To evaluate the effect of SICS at EU scale, a modelling approach was taken. This study simulated the effects of SICS on two principal indicators of soil health (Soil Organic Carbon stocks) and land degradation (soil erosion) across Europe using the spatially explicit PESERA model. Four scenarios with varying levels and combinations of cover crops, mulching, soil compaction alleviation and minimum tillage were implemented and simulated until 2050. Results showed that while in the scenario without SICS, erosion slightly increased on average across Europe, it significantly decreased in the scenario with the highest level of SICS applied, especially in the cropping areas in the central European Loess Belt. Regarding SOC stocks, the simulations show a substantial decrease for the scenario without SICS and a slight overall decrease for the medium level scenario and the scenario with a mix of high, medium and no SICS. The scenario with a high level of SICS implementation showed an overall increase in SOC stocks across Europe. Potential future improvements include incorporating dynamic land use, climate change and an optimal spatial allocation of SICS.</p></article>", "keywords": ["2. Zero hunger", "soil erosion", "soil health", "S", "scenarios", "0211 other engineering and technologies", "large-scale modelling; Europe; soil health; SOC stocks; soil erosion; scenarios; sustainable soil management", "Agriculture", "sustainable soil management", "02 engineering and technology", "15. Life on land", "large-scale modelling", "SOC stocks", "01 natural sciences", "7. Clean energy", "12. Responsible consumption", "Europe", "13. Climate action", "11. Sustainability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/11/6/943/pdf"}, {"href": "https://doi.org/10.3390/land11060943"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land11060943", "name": "item", "description": "10.3390/land11060943", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land11060943"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-19T00:00:00Z"}}, {"id": "10.5281/zenodo.10417013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:40Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "unspecifiedDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417013"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417013", "name": "item", "description": "10.5281/zenodo.10417013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.10417014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:40Z", "type": "Report", "title": "Definition of scenarios on the bases of trends in relevant drivers - EJP Soil SERENA Deliverable 1.4", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Horizon 2020", "climate change", "land cover", "scenarios", "land management", "land use", "Soil Science", "soil-based ecosystem services", "population trend", "soil threats", "SERENA"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10417014"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10417014", "name": "item", "description": "10.5281/zenodo.10417014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10417014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13834642", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:23:10Z", "type": "Report", "title": "Definition of scenarios on the basis of trends in relevant drivers- EJP Soil SERENA Deliverable 1.4 version 2.0", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["EJP Soil", "climate change", "land cover", "scenarios", "H2020", "land management", "land use", "soil-based ecosystem services", "population trend", "soil threats", "SERENA", "stakeholders"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13834642"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13834642", "name": "item", "description": "10.5281/zenodo.13834642", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13834642"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-31T00:00:00Z"}}, {"id": "10.5281/zenodo.13982875", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:23:14Z", "type": "Dataset", "title": "SERENA Task 1.4 \u2013 Definition of scenarios - Survey results", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task1.4", "scenarios", "H2020", "land management", "land use", "WP1", "soil threats", "Grant n. 862695", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13982875"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13982875", "name": "item", "description": "10.5281/zenodo.13982875", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13982875"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13983195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:23:14Z", "type": "Dataset", "title": "SERENA Task 1.4 \u2013 Definition of scenarios - Survey results", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task1.4", "scenarios", "H2020", "land management", "land use", "WP1", "soil threats", "Grant n. 862695", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983195"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983195", "name": "item", "description": "10.5281/zenodo.13983195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13983574", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:23:14Z", "type": "Report", "title": "Stakeholders' collaboration in defining scenarios relating to agricultural soils, on the basis of trends in relevant drivers", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Task 1.4", "scenarios", "H2020", "land management", "land use", "WP1", "Grant n. 862695", "soil threats", "SERENA", "stakeholders", "climate change", "land cover", "soil-based ecosystem services", "population trend"], "contacts": [{"organization": "Smiraglia, Daniela, Assennato, Francesca, Foldal, Cecilie, Asins-Velis, Sabina, Astover, Alar, Fioramonti, Veronica, Kukk, Liia, Mernagh, Orlaith, O'Sullivan, Lilian, Riitano, Nicola, Stefanova, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983574"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983574", "name": "item", "description": "10.5281/zenodo.13983574", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983574"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14000512", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:23:15Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Impacts of Climate Change Scenarios on Net Ecosystem Productivity in Peipsi\u00e4\u00e4re Municipality, Estonia", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0 \u00a0 \u00a0 \u00a0  The study evaluated Net Ecosystem Productivity (NEP), a key indicator of carbon dynamics and ecosystem health that captures the balance between gross primary productivity and total ecosystem respiration under the RCP4.5 and RCP8.5 climate change scenarios. The scenarios incorporate NEP calculations from the SERENA project\u2019s GHG Cookbook, which integrates MODIS (Moderate Resolution Imaging Spectroradiometer) terrestrial primary productivity data with spatially explicit climate variables, such as average temperatures (derived from minimum and maximum daily temperatures) and soil volumetric moisture content. The baseline NEP layer for this analysis was derived from the GHG Cookbook\u2019s 8-day NEP calculation for April 24 to May 1, 2014. This study specifically mapped NEP values in wheat fields within Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 scenario for the future periods 2041\u20132070 and 2071\u20132100. The findings provide initial insights into NEP scenario modeling related to climate change, indicating that more advanced analyses would be advantageous for refining the methodology. Furthermore, incorporating Estonia\u2019s specific pedoclimatic conditions and considering the dynamics of terrestrial primary productivity within the datasets would greatly improve the accuracy of projections.  This dataset includes an 8-day NEP layer for wheat fields in Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 climate pathway for the periods 2041\u20132070 and 2071\u20132100. The files, named SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2041-2070.gpkg and SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2071-2100.gpkg, are formatted as GeoPackages (GPKG).", "keywords": ["SERENA EJPSOIL; D3.4; WP3; Task 3.3; Estonia; Net Ecosystem Productivity; NEP; GHG; Scenarios; RCP"], "contacts": [{"organization": "Kukk, Liia, Astover, Alar,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14000512"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14000512", "name": "item", "description": "10.5281/zenodo.14000512", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14000512"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.7052807", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:24:24Z", "type": "Report", "title": "Assessment of local conditions important for NSWRM implementation. Deliverable D4.1 of the EU Horizon 2020 project OPTAIN.", "description": "<strong>Deliverable report D4.1 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756)</strong> <em>Description of the local conditions in case study areas important for NSWRM implementation. </em> <strong>Summary</strong> The OPTAIN project aims to identify efficient measures for the retention and reuse of water and nutrients (NSWRM - Natural/Small Water Retention Measures) in small agricultural catchments based on empirical data and scale-adapted integrated modelling approaches. Task 4.1 of the project focused on the analysis of local conditions that are important for model implementation of NSWRM and scenario design. This deliverable reports about the activities of task 4.1, which were completed in three steps: 1) issue identification, 2) possible measure selection and 3) analysis of the possibility of model implementation. Each lead of an OPTAIN case study identified and analysed its major case-study specific issues, and determined the needs for water retention within the catchment based on a questionnaire, public European wide datasets as well as local national datasets (if available). Moreover, the need for water quality improvement has been summarized and the existing yield gap was analysed. The leads of task 4.1 developed a detailed questionnaire which served a dual purpose: 1) the questions and the given answers provided a data/requirement screening, and 2) case study leads and the OPTAIN project consortium gained knowledge and an overview of the local conditions that are important to consider when developing a hydrological and water quality model and analysing the scenario results. Based on the questionnaire results, a preliminary overview about NSWRM implementation in OPTAINs model setups was derived. The final result of this analysis is presented as a matrix, where measure implementation possibility in each case study is assessed. Due to the foreseen data demanding modelling tasks of the OPTAIN project, the final selection of the modelled measures might differ, as new data sources are identified or new measurements are gathered.", "keywords": ["NSWRM", "scenarios", "H2020", "OPTAIN", "drought", "15. Life on land", "flood", "water quality", "6. Clean water", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "food production", "water retention"], "contacts": [{"organization": "\u010cerkasova, Natalja, Idzelyt\u0117, Rasa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7052807"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7052807", "name": "item", "description": "10.5281/zenodo.7052807", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7052807"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "20.500.12556/RUL-136343", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:24Z", "type": "Journal Article", "created": "2021-09-22", "title": "Integrated Water Quality Management Model for the Rural Transboundary River Basin\u2014A Case Study of the Sutla/Sotla River", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.</p></article>", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/20.500.12556/RUL-136343"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUL-136343", "name": "item", "description": "20.500.12556/RUL-136343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUL-136343"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "3123155565", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:27:14Z", "type": "Journal Article", "created": "2020-09-11", "title": "Modelling and Prediction of Organic Carbon Dynamics in Arable Soils Based on a 62-Year Field Experiment in the Voronezh Region, European Russia", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Organic carbon (OC) accumulation in soil mitigates greenhouse gases emission and improves soil health. We aimed to quantify the dynamics of OC stock in soils and to justify technologies that allow annual increasing OC stock in the arable soil layer by 4&amp;permil;. We based the study on a field experiment established in 1936 in the 9-field crop rotation with a fallow on Chernozem in European Russia. The RothC version 26.3 was used for the reproducing and forecasting OC dynamics. In all fertilizer applications at FYM background, there was a decrease in the OC stock with preferable loss of active OC, except the period 1964-71 with 2-5&amp;permil; annual OC increase. The model estimated the annual C input in the arable soil layer as 1,900 kg&amp;middot;ha-1. For increasing OC stocks by 4&amp;permil; per year, one should raise input to 2400 kg&amp;middot;ha-1. Simulation was made for 2016-2090 using climate scenarios RCP4.5 and RCP8.5. Crop rotation without fallowing provided an initial increase of 3&amp;permil; and 6&amp;permil; of stocks in the RCP8.5 and RCP4.5 scenarios accordingly, followed by a loss in accumulated OC. Simulation demonstrates difficulties to increase OC concentration in Chernozems under intensive farming and potential capacity to rise OC stock through yield management.</p></article>", "keywords": ["2. Zero hunger", "soil health", "S", "Chernozems", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "climatic change scenarios", "agricultural_sciences_agronomy", "13. Climate action", "soil organic matter", "greenhouse gases", "0401 agriculture", " forestry", " and fisheries", "long-term experiment"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/10/1607/pdf"}, {"href": "https://doi.org/3123155565"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3123155565", "name": "item", "description": "3123155565", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3123155565"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-08T00:00:00Z"}}, {"id": "50|od______2659::88be2cd0da9a562fab2619180746eb81", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:27:58Z", "type": "Dataset", "title": "EJPSOIL_SERENA: Impacts of Climate Change Scenarios on Net Ecosystem Productivity in Peipsi\u00e4\u00e4re Municipality, Estonia", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. \u00a0 \u00a0 \u00a0 \u00a0  The study evaluated Net Ecosystem Productivity (NEP), a key indicator of carbon dynamics and ecosystem health that captures the balance between gross primary productivity and total ecosystem respiration under the RCP4.5 and RCP8.5 climate change scenarios. The scenarios incorporate NEP calculations from the SERENA project\u2019s GHG Cookbook, which integrates MODIS (Moderate Resolution Imaging Spectroradiometer) terrestrial primary productivity data with spatially explicit climate variables, such as average temperatures (derived from minimum and maximum daily temperatures) and soil volumetric moisture content. The baseline NEP layer for this analysis was derived from the GHG Cookbook\u2019s 8-day NEP calculation for April 24 to May 1, 2014. This study specifically mapped NEP values in wheat fields within Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 scenario for the future periods 2041\u20132070 and 2071\u20132100. The findings provide initial insights into NEP scenario modeling related to climate change, indicating that more advanced analyses would be advantageous for refining the methodology. Furthermore, incorporating Estonia\u2019s specific pedoclimatic conditions and considering the dynamics of terrestrial primary productivity within the datasets would greatly improve the accuracy of projections.  This dataset includes an 8-day NEP layer for wheat fields in Peipsi\u00e4\u00e4re municipality, Estonia, under the RCP4.5 climate pathway for the periods 2041\u20132070 and 2071\u20132100. The files, named SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2041-2070.gpkg and SERENA_EJPSOIL_EE_CC_scenario_NEP_RCP4.5_2071-2100.gpkg, are formatted as GeoPackages (GPKG).", "keywords": ["SERENA EJPSOIL; D3.4; WP3; Task 3.3; Estonia; Net Ecosystem Productivity; NEP; GHG; Scenarios; RCP"], "contacts": [{"organization": "Kukk, Liia, Astover, Alar,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::88be2cd0da9a562fab2619180746eb81"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::88be2cd0da9a562fab2619180746eb81", "name": "item", "description": "50|od______2659::88be2cd0da9a562fab2619180746eb81", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::88be2cd0da9a562fab2619180746eb81"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "6b50777b-0e75-435d-ba4f-33d5b7478d8c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "climate"}, {"id": "data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; long-term field experiments"}, {"id": "scenarios"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "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 BonaRes Centre's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Centre and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Centre 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 BonaRes Centre and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-05", "type": "Dataset", "created": "2023-10-17", "language": "eng", "title": "Agroclimatic indicators data of Long-Term Field Experiments in Germany - 1970_2000 CLIMATE", "description": "1970 to 2000 CLIMATE data. \n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-j4tw-7a9h). \n\n \nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "climate", "data", "opendata; long-term field experiments", "scenarios", "Boden"], "contacts": [{"name": "Cenk Donmez", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "cenk.doenmez@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7788-3839", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Helming", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "khelming@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4379-7377", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (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": null}]}, {"name": "Ahmet Cilek", "organization": "Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "acilek@cu.edu.tr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6781-2658", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany;Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "roles": ["contributor"]}], "title_alternate": "LTE: Part 2/6, table: 1970_2000 CLIMATE"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=839cb2ce-c908-49d3-a7c5-47af1eedegmd:e25", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/839cb2ce-c908-49d3-a7c5-47af1eedee25", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "6b50777b-0e75-435d-ba4f-33d5b7478d8c", "name": "item", "description": "6b50777b-0e75-435d-ba4f-33d5b7478d8c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6b50777b-0e75-435d-ba4f-33d5b7478d8c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-05T00:00:00Z"}}, {"id": "e9d7913c-dcfc-4465-b737-84faeee1b376", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "climate"}, {"id": "data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; long-term field experiments"}, {"id": "scenarios"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "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 BonaRes Centre's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Centre and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Centre 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 BonaRes Centre and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-05", "type": "Dataset", "created": "2023-10-17", "language": "eng", "title": "Agroclimatic indicators data of Long-Term Field Experiments in Germany - 2041_2060 CLIMATE", "description": "2041 to 2060 CLIMATE data. \n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-j4tw-7a9h).\n\n Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "climate", "data", "opendata; long-term field experiments", "scenarios", "Boden"], "contacts": [{"name": "Cenk Donmez", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "cenk.doenmez@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7788-3839", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Helming", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "khelming@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4379-7377", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "Leibniz Centre for Agricultural Landscape Research (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": null}]}, {"name": "Ahmet Cilek", "organization": "Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "acilek@cu.edu.tr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6781-2658", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany;Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "roles": ["contributor"]}], "title_alternate": "LTE: Part 4/6, table: 2041_2060 CLIMATE"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=839cb2ce-c908-49d3-a7c5-47af1eedegmd:e25", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/839cb2ce-c908-49d3-a7c5-47af1eedee25", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "e9d7913c-dcfc-4465-b737-84faeee1b376", "name": "item", "description": "e9d7913c-dcfc-4465-b737-84faeee1b376", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e9d7913c-dcfc-4465-b737-84faeee1b376"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-05T00:00:00Z"}}, {"id": "839cb2ce-c908-49d3-a7c5-47af1eedee25", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "agriculture"}, {"id": "climate"}, {"id": "data"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; long-term field experiments"}, {"id": "scenarios"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "license": "CC BY", "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 BonaRes Centre's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Centre and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Centre 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 BonaRes Centre and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-05", "type": "Dataset", "created": "2023-10-17", "language": "eng", "title": "Agroclimatic indicators data of Long-Term Field Experiments in Germany - BIOCLIMATIC INDICATORS", "description": "This dataset was employed in our study titled \"Climate change effects on long-term field experiments in Germany,\" which can be accessed with the following DOI: https://doi.org/10.1016/j.agsy.2022.103578. The dataset encompassed climate data for both the baseline period (1970-2000) and future projections (extending up to 2100), sourced from the WorldClim database (Worldclim, 2021) for the European region, with a spatial resolution of 2.5 minutes (approximately 5 kilometers). This dataset was generated as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6) and included monthly records of minimum temperature, maximum temperature, and precipitation from nine global climate models (GCMs) spanning up to the year 2100. We employed the average data derived from these GCMs, incorporating data averaged over four 20-year intervals (2021\u20132040, 2041\u20132060, 2061\u20132080, 2081\u20132100). These future climate projections for Germany were based on four emission scenarios, namely SSP126, SSP245, SSP370, and SSP585.\n\nThis table contains data on - BIOCLIMATIC INDICATORS. \n\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "agriculture", "climate", "data", "opendata; long-term field experiments", "scenarios", "Boden"], "contacts": [{"name": "Cenk Donmez", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "cenk.doenmez@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7788-3839", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Katharina Helming", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "khelming@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4379-7377", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (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": null}]}, {"name": "Ahmet Cilek", "organization": "Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "acilek@cu.edu.tr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6781-2658", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany;Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye", "roles": ["contributor"]}], "title_alternate": "LTE: Part 1/6, table: BIOCLIMATIC INDICATORS"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=839cb2ce-c908-49d3-a7c5-47af1eedegmd:e25", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/839cb2ce-c908-49d3-a7c5-47af1eedee25", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "839cb2ce-c908-49d3-a7c5-47af1eedee25", "name": "item", "description": "839cb2ce-c908-49d3-a7c5-47af1eedee25", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/839cb2ce-c908-49d3-a7c5-47af1eedee25"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-05T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=scenarios&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=scenarios&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=scenarios&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=scenarios&offset=19", "hreflang": "en-US"}], "numberMatched": 19, "numberReturned": 19, "distributedFeatures": [], "timeStamp": "2026-06-25T07:38:07.060343Z"}