{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2018.05.028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:40Z", "type": "Journal Article", "created": "2018-05-31", "title": "Effects of agricultural management practices on soil quality: A review of long-term experiments for Europe and China", "description": "Open AccessIn this paper we present effects of four paired agricultural management practices (organic matter (OM) addition versus no organic matter input, no-tillage (NT) versus conventional tillage, crop rotation versus monoculture, and organic agriculture versus conventional agriculture) on five key soil quality indicators, i.e., soil organic matter (SOM) content, pH, aggregate stability, earthworms (numbers) and crop yield. We have considered organic matter addition, no-tillage, crop rotation and organic agriculture as 'promising practices'; no organic matter input, conventional tillage, monoculture and conventional farming were taken as the respective references or 'standard practice' (baseline). Relative effects were analysed through indicator response ratio (RR) under each paired practice. For this we considered data of 30 long-term experiments collected from 13 case study sites in Europe and China as collated in the framework of the EU-China funded iSQAPER project. These were complemented with data from 42 long-term experiments across China and 402 observations of long-term trials published in the literature. Out of these, we only considered experiments covering at least five years. The results show that OM addition favourably affected all the indicators under consideration. The most favourable effect was reported on earthworm numbers, followed by yield, SOM content and soil aggregate stability. For pH, effects depended on soil type; OM input favourably affected the pH of acidic soils, whereas no clear trend was observed under NT. NT generally led to increased aggregate stability and greater SOM content in upper soil horizons. However, the magnitude of the relative effects varied, e.g. with soil texture. No-tillage practices enhanced earthworm populations, but not where herbicides or pesticides were applied to combat weeds and pests. Overall, in this review, yield slightly decreased under NT. Crop rotation had a positive effect on SOM content and yield; rotation with ley very positively influenced earthworms' numbers. Overall, crop rotation had little impact on soil pH and aggregate stability \u2212 depending on the type of intercrop; alternatively, rotation of arable crops only resulted in adverse effects. A clear positive trend was observed for earthworm abundance under organic agriculture. Further, organic agriculture generally resulted in increased aggregate stability and greater SOM content. Overall, no clear trend was found for pH; a decrease in yield was observed under organic agriculture in this review.", "keywords": ["China", "Soil Science", "Organic chemistry", "Crop", "01 natural sciences", "Long-term field experiments", "Crop Productivity", "Soil quality", "Environmental science", "Organic Matter Dynamics", "Tillage", "Agricultural and Biological Sciences", "Soil quality indicators", "Crop rotation", "Management of Soil Fertility and Crop Productivity", "Soil water", "FOS: Mathematics", "Agricultural management practices", "Monoculture", "Crop Yield Stability", "Biology", "0105 earth and related environmental sciences", "Literature review", "Response ratio", "Soil science", "2. Zero hunger", "Soil organic matter", "Soil Fertility", "Conventional tillage", "Geography", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Soil Nutrient Management", "15. Life on land", "Agronomy", "Europe", "Chemistry", "Archaeology", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Crop husbandry", "Organic matter", "Intercropping in Agricultural Systems", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2018.05.028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2018.05.028", "name": "item", "description": "10.1016/j.agee.2018.05.028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2018.05.028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2024.127121", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:09Z", "type": "Journal Article", "created": "2024-02-15", "title": "Climate change causes spatial shifts in the productivity of agricultural long-term field experiments", "description": "Long-term field experiments (LTE) are highly valuable infrastructures in agricultural- and soil sciences for understanding the long-term impacts of climate and management practices. While they are designed to run under constant conditions, climate change is expected to affect site conditions considerably. This needs to be quantified when interpreting experimental results and when redesigning the experimental setup. One way to achieve this is by utilizing vegetation growth and carbon dynamics, specifically the Net Primary Productivity (NPP), as a spatially explicit indicator. NPP facilitates the assessment and interpretation of yield performance in LTEs under future climatic conditions. Our study estimated the changes in NPP for 271 LTE sites in Germany, comparing a baseline (2000\u20132020) with two scenarios (2081\u20132100) that were based on the Shared Socioeconomic Pathways (SSPs) (SSP245) and SSP585) by the Intergovernmental Panel on Climate Change (IPCC). We used the NASA-CASA biogeochemical model to calculate NPP in baseline and IPCC scenarios using Germany as a test case. LTEs were grouped by land use (crop types) and soil information (soil type, texture), drawing on the geodata infrastructure \u201cBonaRes Repository\u201d. The total annual terrestrial NPP for the baseline was calculated as 202.4 Mt C (sum of forests, grasslands, and arable lands) in Germany, while total NPP was up to 56.0 Mt C for different land use types. For both scenarios, NPP was projected to increase in LTEs located in southern Germany, indicating increased crop productivity, while a decrease was projected for the central Germany. The decrease in NPP of numerous LTEs in central Germany was estimated to extend to the LTEs in the eastern part corresponding to the worst-case scenario SSP585. Explicitly, the use of the multi-model ensemble mean as the climate driver in modelling may overestimate projected NPP by reducing inter-annual variability, highlighting the importance of methodological choices for accurate future projections. Besides, the results indicated that poor soils are projected to experience a further decline in productivity, primarily attributed to escalating water scarcity. Conversely, soils with high quality are likely to witness enhanced productivity, largely driven by the extension of the growing seasons. The outcomes of this study provide a basis for considering the future conditions of German LTEs and facilitate distinguishing between the effects of climate change and the impact of agricultural management on productivity at the regional level. These outputs enable planning and developing research strategies for selecting future LTE sites and redesigning existing or newly planned experiments. Moreover, the integrated modelling framework presented here highlights the potential of LTE data for large-scale modelling studies of ecosystem functions.", "keywords": ["Net Primary Productivity ; Climate change ; Soil quality ; Shared Socioeconomic Pathways ; Agricultural Long-Term Field Experiments"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2024.127121"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2024.127121", "name": "item", "description": "10.1016/j.eja.2024.127121", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2024.127121"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.1111/mec.15270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:05Z", "type": "Journal Article", "created": "2019-10-16", "title": "Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long\u2010term field experiments", "description": "Abstract

Soil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality. Relative abundance of nematode feeding and life\uffe2\uff80\uff90history groups are used for calculating food web indices, i.e., maturity index (MI), enrichment index (EI), structure index (SI) and channel index (CI). Molecular methods to study nematode communities potentially offer advantages compared to traditional methods in terms of resolution, throughput, cost and time. In spite of such advantages, molecular data have not often been adopted so far to assess the effects of soil management on nematode communities and to calculate these food web indices. Here, we used high\uffe2\uff80\uff90throughput amplicon sequencing to investigate the effects of tillage (conventional vs. reduced) and organic matter addition (low vs. high) on nematode communities and food web indices in 10 European long\uffe2\uff80\uff90term field experiments and we assessed the relationship between nematode communities and soil parameters. We found that nematode communities were more strongly affected by tillage than by organic matter addition. Compared to conventional tillage, reduced tillage increased nematode diversity (23% higher Shannon diversity index), nematode community stability (12% higher MI), structure (24% higher SI), and the fungal decomposition channel (59% higher CI), and also the number of herbivorous nematodes (70% higher). Total and labile organic carbon, available K and microbial parameters explained nematode community structure. Our findings show that nematode communities are sensitive indicators of soil quality and that molecular profiling of nematode communities has the potential to reveal the effects of soil management on soil quality.TM. Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.", "keywords": ["2. Zero hunger", "labile carbon|long-term field experiments|organic matter addition|soil biological indicators|tillage", "Agriculture (General)", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term field experiments", "6. Clean water", "Tillage", "S1-972", "12. Responsible consumption", "13. Climate action", "Soil biological indicators", "Labile carbon", "Organic matter addition", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Bongiorno, Giulia", "roles": ["creator"]}]}, "links": [{"href": "http://journal.hep.com.cn/fase/fileup/2095-7505/PDF/fileup/2095-7505/PDF/26919/1584618502145-2077835878.pdf"}, {"href": "https://doi.org/10.15302/j-fase-2020323"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20of%20Agricultural%20Science%20and%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15302/j-fase-2020323", "name": "item", "description": "10.15302/j-fase-2020323", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15302/j-fase-2020323"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.3929/ethz-b-000377318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:19Z", "type": "Journal Article", "created": "2019-10-16", "title": "Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long-term field experiments.", "description": "Abstract

Soil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality. Relative abundance of nematode feeding and life\uffe2\uff80\uff90history groups are used for calculating food web indices, i.e., maturity index (MI), enrichment index (EI), structure index (SI) and channel index (CI). Molecular methods to study nematode communities potentially offer advantages compared to traditional methods in terms of resolution, throughput, cost and time. In spite of such advantages, molecular data have not often been adopted so far to assess the effects of soil management on nematode communities and to calculate these food web indices. Here, we used high\uffe2\uff80\uff90throughput amplicon sequencing to investigate the effects of tillage (conventional vs. reduced) and organic matter addition (low vs. high) on nematode communities and food web indices in 10 European long\uffe2\uff80\uff90term field experiments and we assessed the relationship between nematode communities and soil parameters. We found that nematode communities were more strongly affected by tillage than by organic matter addition. Compared to conventional tillage, reduced tillage increased nematode diversity (23% higher Shannon diversity index), nematode community stability (12% higher MI), structure (24% higher SI), and the fungal decomposition channel (59% higher CI), and also the number of herbivorous nematodes (70% higher). Total and labile organic carbon, available K and microbial parameters explained nematode community structure. Our findings show that nematode communities are sensitive indicators of soil quality and that molecular profiling of nematode communities has the potential to reveal the effects of soil management on soil quality.

", "keywords": ["Food Chain", "Nematoda", "Environmental aspects", "long-term field experiments", "Nematode communities", "Soil quality", "Long-term field experiments", "Tillage", "Soil", "Animals", "Ecosystem", "Soil Microbiology", "Amplicon sequencing", "organic matter addition", "2. Zero hunger", "nematode communities", "Food web indices", "amplicon sequencing", "Fungi", "04 agricultural and veterinary sciences", "15. Life on land", "Soil tillage", "Europe", "tillage", "Organic matter addition", "0401 agriculture", " forestry", " and fisheries", "food web indices", "ORIGINAL ARTICLES", "Amplicon sequencing; Food web indices; Long-term field experiments; Nematode communities; Organic matter addition; Tillage"]}, "links": [{"href": "https://doi.org/10.3929/ethz-b-000377318"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Molecular%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000377318", "name": "item", "description": "10.3929/ethz-b-000377318", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000377318"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-31T00:00:00Z"}}, {"id": "10.5061/dryad.q21d0b9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:36Z", "type": "Dataset", "title": "Data from: Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long-term field experiments", "description": "unspecifiedSoil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality. Relative abundance of nematode feeding and life-history groups are used for calculating food web indices, i.e. maturity index (MI), enrichment index (EI), structure index (SI) and channel index (CI). Molecular methods to study nematode communities potentially offer advantages compared to traditional methods in terms of resolution, throughput, cost and time. In spite of such advantages, molecular data have not often been adopted so far to assess the effects of soil management on nematode communities and to calculate these food web indices. Here, we used high-throughput amplicon sequencing to investigate the effects of tillage (conventional vs reduced) and organic matter addition (low vs high) on nematode communities and food web indices in ten European long-term field experiments and we assessed the relationship between nematode communities and soil parameters. We found that nematode communities were more strongly affected by tillage than by organic matter addition. Compared to conventional tillage, reduced tillage increased nematode diversity (23% higher Shannon diversity index), nematode community stability (12% higher MI), structure (24% higher SI), and the fungal decomposition channel (59% higher CI), and also the number of herbivorous nematodes (70% higher). Total and labile organic carbon, available K and microbial parameters explained nematode community structure. Our findings show that nematode communities are sensitive indicators of soil quality and that molecular profiling of nematode communities has the potential to reveal the effects of soil management on soil quality.", "keywords": ["2. Zero hunger", "organic matter addition", "nematode communities", "Anthropocene", "long-term field experiments", "15. Life on land", "food web indices.", "Tillage"], "contacts": [{"organization": "Bongiorno, Giulia, Bodenhaused, Natacha, B\u00fcnemann, Else. K., Lijbert, Brussaard, Geisen, Stefan, M\u00e4der, Paul, Quist, Casper, Walser, Jean-Claude, de Goede, Ron,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.q21d0b9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.q21d0b9", "name": "item", "description": "10.5061/dryad.q21d0b9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.q21d0b9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-22T00:00:00Z"}}, {"id": "10.60692/wzwcw-szh03", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:18Z", "type": "Journal Article", "created": "2018-05-30", "title": "Effects of agricultural management practices on soil quality: A review of long-term experiments for Europe and China", "description": "Open AccessIn this paper we present effects of four paired agricultural management practices (organic matter (OM) addition versus no organic matter input, no-tillage (NT) versus conventional tillage, crop rotation versus monoculture, and organic agriculture versus conventional agriculture) on five key soil quality indicators, i.e., soil organic matter (SOM) content, pH, aggregate stability, earthworms (numbers) and crop yield. We have considered organic matter addition, no-tillage, crop rotation and organic agriculture as 'promising practices'; no organic matter input, conventional tillage, monoculture and conventional farming were taken as the respective references or 'standard practice' (baseline). Relative effects were analysed through indicator response ratio (RR) under each paired practice. For this we considered data of 30 long-term experiments collected from 13 case study sites in Europe and China as collated in the framework of the EU-China funded iSQAPER project. These were complemented with data from 42 long-term experiments across China and 402 observations of long-term trials published in the literature. Out of these, we only considered experiments covering at least five years. The results show that OM addition favourably affected all the indicators under consideration. The most favourable effect was reported on earthworm numbers, followed by yield, SOM content and soil aggregate stability. For pH, effects depended on soil type; OM input favourably affected the pH of acidic soils, whereas no clear trend was observed under NT. NT generally led to increased aggregate stability and greater SOM content in upper soil horizons. However, the magnitude of the relative effects varied, e.g. with soil texture. No-tillage practices enhanced earthworm populations, but not where herbicides or pesticides were applied to combat weeds and pests. Overall, in this review, yield slightly decreased under NT. Crop rotation had a positive effect on SOM content and yield; rotation with ley very positively influenced earthworms' numbers. Overall, crop rotation had little impact on soil pH and aggregate stability \u2212 depending on the type of intercrop; alternatively, rotation of arable crops only resulted in adverse effects. A clear positive trend was observed for earthworm abundance under organic agriculture. Further, organic agriculture generally resulted in increased aggregate stability and greater SOM content. Overall, no clear trend was found for pH; a decrease in yield was observed under organic agriculture in this review.", "keywords": ["Soil Science", "Organic chemistry", "Crop", "01 natural sciences", "Long-term field experiments", "Crop Productivity", "Soil quality", "Environmental science", "Organic Matter Dynamics", "Tillage", "Agricultural and Biological Sciences", "Soil quality indicators", "Crop rotation", "Management of Soil Fertility and Crop Productivity", "Soil water", "FOS: Mathematics", "Agricultural management practices", "Monoculture", "Crop Yield Stability", "Biology", "0105 earth and related environmental sciences", "Literature review", "Response ratio", "Soil science", "2. Zero hunger", "Soil organic matter", "Soil Fertility", "Conventional tillage", "Geography", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Soil Nutrient Management", "15. Life on land", "Agronomy", "Chemistry", "Archaeology", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Organic matter", "Intercropping in Agricultural Systems", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Mathematics"]}, "links": [{"href": "https://doi.org/10.60692/wzwcw-szh03"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/wzwcw-szh03", "name": "item", "description": "10.60692/wzwcw-szh03", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/wzwcw-szh03"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "2807448259", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:57Z", "type": "Journal Article", "created": "2018-05-31", "title": "Effects of agricultural management practices on soil quality: A review of long-term experiments for Europe and China", "description": "Open AccessIn this paper we present effects of four paired agricultural management practices (organic matter (OM) addition versus no organic matter input, no-tillage (NT) versus conventional tillage, crop rotation versus monoculture, and organic agriculture versus conventional agriculture) on five key soil quality indicators, i.e., soil organic matter (SOM) content, pH, aggregate stability, earthworms (numbers) and crop yield. We have considered organic matter addition, no-tillage, crop rotation and organic agriculture as 'promising practices'; no organic matter input, conventional tillage, monoculture and conventional farming were taken as the respective references or 'standard practice' (baseline). Relative effects were analysed through indicator response ratio (RR) under each paired practice. For this we considered data of 30 long-term experiments collected from 13 case study sites in Europe and China as collated in the framework of the EU-China funded iSQAPER project. These were complemented with data from 42 long-term experiments across China and 402 observations of long-term trials published in the literature. Out of these, we only considered experiments covering at least five years. The results show that OM addition favourably affected all the indicators under consideration. The most favourable effect was reported on earthworm numbers, followed by yield, SOM content and soil aggregate stability. For pH, effects depended on soil type; OM input favourably affected the pH of acidic soils, whereas no clear trend was observed under NT. NT generally led to increased aggregate stability and greater SOM content in upper soil horizons. However, the magnitude of the relative effects varied, e.g. with soil texture. No-tillage practices enhanced earthworm populations, but not where herbicides or pesticides were applied to combat weeds and pests. Overall, in this review, yield slightly decreased under NT. Crop rotation had a positive effect on SOM content and yield; rotation with ley very positively influenced earthworms' numbers. Overall, crop rotation had little impact on soil pH and aggregate stability \u2212 depending on the type of intercrop; alternatively, rotation of arable crops only resulted in adverse effects. A clear positive trend was observed for earthworm abundance under organic agriculture. Further, organic agriculture generally resulted in increased aggregate stability and greater SOM content. Overall, no clear trend was found for pH; a decrease in yield was observed under organic agriculture in this review.", "keywords": ["Soil Science", "Organic chemistry", "Crop", "01 natural sciences", "Long-term field experiments", "Crop Productivity", "Soil quality", "Environmental science", "Organic Matter Dynamics", "Tillage", "Agricultural and Biological Sciences", "Soil quality indicators", "Crop rotation", "Management of Soil Fertility and Crop Productivity", "Soil water", "FOS: Mathematics", "Agricultural management practices", "Monoculture", "Crop Yield Stability", "Biology", "0105 earth and related environmental sciences", "Literature review", "Response ratio", "Soil science", "2. Zero hunger", "Soil organic matter", "Soil Fertility", "Conventional tillage", "Geography", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Soil Nutrient Management", "15. Life on land", "Agronomy", "Chemistry", "Archaeology", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Organic matter", "Intercropping in Agricultural Systems", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Mathematics"]}, "links": [{"href": "https://doi.org/2807448259"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2807448259", "name": "item", "description": "2807448259", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2807448259"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "20.500.11850/377318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:28Z", "type": "Journal Article", "created": "2019-10-16", "title": "Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long\u2010term field experiments", "description": "Abstract

Soil nematode communities and food web indices can inform about the complexity, nutrient flows and decomposition pathways of soil food webs, reflecting soil quality. Relative abundance of nematode feeding and life\uffe2\uff80\uff90history groups are used for calculating food web indices, i.e., maturity index (MI), enrichment index (EI), structure index (SI) and channel index (CI). Molecular methods to study nematode communities potentially offer advantages compared to traditional methods in terms of resolution, throughput, cost and time. In spite of such advantages, molecular data have not often been adopted so far to assess the effects of soil management on nematode communities and to calculate these food web indices. Here, we used high\uffe2\uff80\uff90throughput amplicon sequencing to investigate the effects of tillage (conventional vs. reduced) and organic matter addition (low vs. high) on nematode communities and food web indices in 10 European long\uffe2\uff80\uff90term field experiments and we assessed the relationship between nematode communities and soil parameters. We found that nematode communities were more strongly affected by tillage than by organic matter addition. Compared to conventional tillage, reduced tillage increased nematode diversity (23% higher Shannon diversity index), nematode community stability (12% higher MI), structure (24% higher SI), and the fungal decomposition channel (59% higher CI), and also the number of herbivorous nematodes (70% higher). Total and labile organic carbon, available K and microbial parameters explained nematode community structure. Our findings show that nematode communities are sensitive indicators of soil quality and that molecular profiling of nematode communities has the potential to reveal the effects of soil management on soil quality.TM. Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.", "keywords": ["2. Zero hunger", "labile carbon|long-term field experiments|organic matter addition|soil biological indicators|tillage", "Agriculture (General)", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term field experiments", "6. Clean water", "Tillage", "S1-972", "12. Responsible consumption", "13. Climate action", "Soil biological indicators", "Labile carbon", "Organic matter addition", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Bongiorno, Giulia", "roles": ["creator"]}]}, "links": [{"href": "http://journal.hep.com.cn/fase/fileup/2095-7505/PDF/fileup/2095-7505/PDF/26919/1584618502145-2077835878.pdf"}, {"href": "https://doi.org/3015144984"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20of%20Agricultural%20Science%20and%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3015144984", "name": "item", "description": "3015144984", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3015144984"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "783a7b1a-dba5-46c6-87b5-0936462bfd5b", "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 - 2081_2100 CLIMATE", "description": "2081 to 2100 CLIMATE data.\n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-j4tw-7a9h).\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\n\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": "Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye;Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany", "roles": ["contributor"]}], "title_alternate": "LTE: Part 6/6, table: 2081_2100 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": "783a7b1a-dba5-46c6-87b5-0936462bfd5b", "name": "item", "description": "783a7b1a-dba5-46c6-87b5-0936462bfd5b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/783a7b1a-dba5-46c6-87b5-0936462bfd5b"}, {"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"}], "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 - 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": "Cukurova University, Landscape Architecture Department, Remote Sensing and GIS Lab., 01330, Adana, Turkiye;Leibniz Centre for Agricultural Landscape Research (ZALF), 15374, M\u00fcncheberg, Germany", "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": "68ae28c6-c8ae-475f-9b84-d7d11ef5891d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.61, 47.27], [5.61, 55.02], [15.03, 55.02], [15.03, 47.27], [5.61, 47.27]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Boden"}, {"id": "Bodenfunktion"}, {"id": "Bodenuntersuchung"}, {"id": "Mineralischer Bodenverbesserer"}, {"id": "organisches Bodenverbesserungsmittel"}, {"id": "Freilandversuch"}, {"id": "Langzeitversuch"}, {"id": "Versuchsanlage"}, {"id": "Ackerbau"}, {"id": "Gr\u00fcnland"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Landwirtschaft"}, {"id": "Agrarwissenschaft"}, {"id": "Boden"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Field experimentation"}, {"id": "Field crops"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "individual"}, {"concepts": [{"id": "Field experiments"}, {"id": "Long-term field experiments"}, {"id": "Long-term experiments"}, {"id": "Long-term trial"}, {"id": "Long-term field trial"}, {"id": "agricultural data"}, {"id": "Dauerversuch"}, {"id": "Dauerfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Dauerd\u00fcndungsversuch"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "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 re-used from the BonaRes Data Centre www.bonares.de. These data were created as part of BonaRes research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo.", "updated": "2019-06-18", "type": "Dataset", "created": "2019-05-21", "language": "eng", "title": "Long-term Field Experiments in Germany", "description": "This dataset provides detailed information about 205 Long-term Field Experiments (LTFE) in Germany. The research was done in the context of the funding initiative of the German Federal Ministry for Education and Research (BMBF) 'BonaRes' (www.bonares.de). LTFE here are defined as agricultural field experiments with the minimum duration of 20 years, a static design and research in the context of bioeconomy. Experiments with a duration of less than 20 years but reaching this age during the BonaRes funding period (2015-2024) are considered as LTFE as well.\nInformation about duration, research theme, holding institution, research parameters, location, landuse category, membership in networks, size and experimental setup are provided.\nIn addition BonaRes performed a classification of the experiments and assigned them to five soil functions. The classification was done according to our knowledge about the data which was collected in the respective LTFE up to now. The following five soil functions were chosen as most relevant for BonaRes: biomass production, storage and filtering of water, storage and recycling of nutrients, carbon storage, habitat for biological activity.", "formats": [{"name": "CSV"}], "keywords": ["Boden", "Bodenfunktion", "Bodenuntersuchung", "Mineralischer Bodenverbesserer", "organisches Bodenverbesserungsmittel", "Freilandversuch", "Langzeitversuch", "Versuchsanlage", "Ackerbau", "Gr\u00fcnland", "Landwirtschaft", "Agrarwissenschaft", "Boden", "Field experimentation", "Field crops", "Boden", "Field experiments", "Long-term field experiments", "Long-term experiments", "Long-term trial", "Long-term field trial", "agricultural data", "Dauerversuch", "Dauerfeldversuch", "Langzeitversuch", "Langzeitfeldversuch", "Dauerd\u00fcndungsversuch", "opendata", "Boden"], "contacts": [{"name": "Meike Grosse", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "meike.grosse@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": "M\u00fcncheberg", "administrativeArea": null, "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Jennika Hammar", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": "Student assistant", "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "hammar@uni-potsdam.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wilfried Hierold", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hierold@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Uwe Heinrich", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "uheinrich@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": "M\u00fcncheberg", "administrativeArea": null, "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=https://doi.org/10.20387/BonaRes-3TR6-MG8R", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "68ae28c6-c8ae-475f-9b84-d7d11ef5891d", "name": "item", "description": "68ae28c6-c8ae-475f-9b84-d7d11ef5891d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/68ae28c6-c8ae-475f-9b84-d7d11ef5891d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-18T00:00:00Z"}}, {"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' - 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