{"type": "FeatureCollection", "features": [{"id": "10.1590/s0103-90162007000500009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:45Z", "type": "Journal Article", "created": "2007-11-16", "description": "<p>We hypothesized that, because of the ability of trees to sequester carbon (C) in the deep soil profile and remove excess nutrients from soils, the silvopastoral agroforestry system could enhance the environmental quality of the agricultural lands. To test this hypothesis, two sets of experiments were conducted in two soil orders in Florida, Spodosols and Ultisols, with two major objectives: i) determining the soil C accumulation and tracing the plant sources of C in soil fractions, and ii) quantifying water soluble phosphorus (WSP) and estimating the Soil P Storage Capacity (SPSC). Total C in both soil orders was greater under silvopasture than in treeless pastures, particularly at lower depths. Stable-isotope signature analysis suggested that C3 plants (in this case, slash pine, Pinus elliotii) contributed to a more stable C fraction than C4 plants (in this case, bahiagrass, Paspalum notatum) at soil depths up to 1 m. WSP was consistently higher in treeless pastures, while the remaining SPSC was lower in this land-use system, suggesting the greater likelihood of P moving out of the soil under treeless pasture than in silvopasture. Thus, the presence of trees in pastures contributed to more stable C within the soil profiles, lower WSP, and greater SPSC, indicating more environmental benefits provided by silvopastoral systems as compared to treeless pastures under similar ecological settings.</p>", "keywords": ["nutrientes", "sequestro de carbono", "nutrients", "soil P storage capacity", "treeless pasture", "0401 agriculture", " forestry", " and fisheries", "capacidade de armazenamento de P no solo", "04 agricultural and veterinary sciences", "pastagens sem \u00e1rvores", "carbon sequestration", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Nair, Vimala D., Haile, Solomon G., Michel, G\u00e9rard-Alain, Nair, P.K. Ramachandran,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s0103-90162007000500009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientia%20Agricola", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0103-90162007000500009", "name": "item", "description": "10.1590/s0103-90162007000500009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0103-90162007000500009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-10-01T00:00:00Z"}}, {"id": "10.1590/s1413-70542004000500010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:45Z", "type": "Journal Article", "created": "2010-10-06", "title": "Carbon Stock In Agricultural-Forestry-Pasture, Planted Pasture, And Eucalyptus Systems Under Conventional Tillage In The Northwestern Region Of The Minas Gerais State", "description": "<p>Conduziu-se este estudo com o objetivo de verificar as altera\uffc3\uffa7\uffc3\uffb5es nos teores e no estoque de carbono org\uffc3\uffa2nico em sistemas agrossilvopastoril, pastagem cultivada e reflorestamento de eucalipto, no noroeste do Estado de Minas Gerais. O solo estudado foi um Latossolo Vermelho distr\uffc3\uffb3fico t\uffc3\uffadpico. As amostragens de solo foram efetuadas em tr\uffc3\uffaas repeti\uffc3\uffa7\uffc3\uffb5es, nas profundidades de 0-5, 5-20 e 20-40 cm. Os sistemas foram selecionados segundo o hist\uffc3\uffb3rico de uso, a saber: cerrado nativo (CN - testemunha); eucalipto + arroz (EA - ano zero do sistema agrossilvopastoril); eucalipto + soja (ES - ano um do sistema agrossilvopastoril); eucalipto + pastagem (EP - ano dois do sistema agrossilvopastoril); eucalipto + pastagem + gado (EPG - ano tr\uffc3\uffaas do sistema agrossilvopastoril); pastagem convencional (PC) e eucalipto convencional (EC). Houve diferen\uffc3\uffa7a significativa nos teores e no estoque de carbono dos sistemas avaliados em rela\uffc3\uffa7\uffc3\uffa3o ao cerrado nativo. De modo geral, os sistemas est\uffc3\uffa3o desempenhando um papel de emissores de C-CO2, quando comparados com o CN, em que os v\uffc3\uffa1rios revolvimentos para o preparo do solo est\uffc3\uffa3o acelerando o processo de oxida\uffc3\uffa7\uffc3\uffa3o e perda de carbono org\uffc3\uffa2nico. No sistema agrossilvopastoril, foi observada uma tend\uffc3\uffaancia de aumento do estoque do carbono com o passar dos anos, demonstrando a efici\uffc3\uffaancia do sistema em manter ou at\uffc3\uffa9 mesmo aumentar o estoque de carbono org\uffc3\uffa2nico ao longo dos anos.</p>", "keywords": ["2. Zero hunger", "carbon stock", "04 agricultural and veterinary sciences", "15. Life on land", "agricultural-forestry-pasture system", "7. Clean energy", "Soil quality", "12. Responsible consumption", "cerrado", "13. Climate action", "estoque de carbono", "sistema agrossilvopastoril", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Qualidade do solo"], "contacts": [{"organization": "Neves, Cl\u00e1udia Milene Nascente das, Silva, Marx Leandro Naves, Curi, Nilton, Macedo, Renato Luiz Grisi, Tokura, Alessandra Mayumi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s1413-70542004000500010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ci%C3%AAncia%20e%20Agrotecnologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s1413-70542004000500010", "name": "item", "description": "10.1590/s1413-70542004000500010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s1413-70542004000500010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-10-01T00:00:00Z"}}, {"id": "10.17221/7/2011-pse", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:50Z", "type": "Journal Article", "created": "2018-02-10", "title": "Grazing Depresses Soil Carbon Storage Through Changing Plant Biomass And Composition In A Tibetan Alpine Meadow", "description": "Grazing-induced variations in vegetation may either accelerate or reduce soil carbon storage through changes in litter quantity and quality. Here, a three-year field study (2005-2007) was conducted in Tibetan alpine meadow to address the responses of surface soil (0-15 cm) organic carbon (SOC) storage in the plant growing season (from May to September) to varying grazing intensity (represented by the residual aboveground biomass, with G0, G1, G2, and G3 standing for 100%, 66%, 55%, and 30% biomass residual, respectively), and to explore whether grazing-induced vegetation changes depress or facilitate SOC storage. Our results showed that: (i) Higher grazing intensity resulted in lower biomass of grasses and sedges, lower root biomass, and in a change in plant community composition from palatable grasses and sedges to less palatable forbs. (ii) Increased grazing reduced the SOC content and storage with only G3 showing an SOC loss during the plant growing season. (iii) Soil organic carbon storage exhibited a highly positive correlation with the residual aboveground biomass and root biomass. Our results imply that a grazing-induced reduction in plant biomass productivity and changes in species composition would depress soil carbon storage, and that an increase in grazing pressure can lead to a gradual change of alpine meadow soils from being 'carbon sinks' to become 'carbon sources'.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Plant culture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "SB1-1110", "root biomass", "ground cover", "summer pasture", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "grazing management", "soil carbon loss"]}, "links": [{"href": "https://doi.org/10.17221/7/2011-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/7/2011-pse", "name": "item", "description": "10.17221/7/2011-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/7/2011-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-06-30T00:00:00Z"}}, {"id": "10.3389/fpls.2020.00891", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:47Z", "type": "Journal Article", "created": "2020-07-24", "title": "Shaping Durum Wheat for the Future: Gene Expression Analyses and Metabolites Profiling Support the Contribution of BCAT Genes to Drought Stress Response", "description": "Global climate change, its implications for agriculture, and the complex scenario presented by the scientific community are of worldwide concern. Drought is a major abiotic stress that can restrict plants growth and yields, thus the identification of genotypes with higher adaptability to drought stress represents one of the primary goals in breeding programs. During abiotic stress, metabolic adaptation is crucial for stress tolerance, and accumulation of specific amino acids and/or as secondary metabolites deriving from amino acid metabolism may correlate with the increased tolerance to adverse environmental conditions. This work, focused on the metabolism of branched chain-amino acids (BCAAs) in durum wheat and the role of branched-chain amino acid aminotransferases (BCATs) in stress response. The role of BCATs in plant response to drought was previously proposed for Arabidopsis, where the levels of BCAAs were altered at the transcriptional level under drought conditions, triggering the onset of defense response metabolism. However, in wheat the role of BCAAs as a trigger of the onset of the drought defense response has not been elucidated. A comparative genomic approach elucidated the composition of the BCAT gene family in durum wheat. Here we demonstrate a tissue and developmental stage specificity of BCATs regulation in the drought response. Moreover, a metabolites profiling was performed on two contrasting durum wheat cultivars Colosseo and Cappelli resulting in the detection of a specific pattern of metabolites accumulated among genotypes and, in particular, in an enhanced BCAAs accumulation in the tolerant cv Cappelli further supporting a role of BCAAs in the drought defense response. The results support the use of gene expression and target metabolomic in modern breeding to shape new cultivars more resilient to a changing climate.", "keywords": ["Crop and Pasture Production", "0301 basic medicine", "570", "branched-chain aminotransferase", "Plant Biology", "Veterinary and Food Sciences", "Plant Science", "630", "SB1-1110", "03 medical and health sciences", "Genetics", "Plant biology", "2. Zero hunger", "Agricultural", "0303 health sciences", "drought stress", "Plant culture", "durum wheat", "Biological Sciences", "15. Life on land", "Crop and pasture production", "6. Clean water", "target metabolomics", "13. Climate action", "Settore AGRI-06/A - Genetica agraria", "gene expression", "branched-chain aminotransferase", " drought stress", " durum wheat", " gene expression", " target metabolomics"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/405717/1/Shaping%20Durum%20Wheat%20for%20the%20Future%3a%20Gene%20Expression%20Analyses%20and%20Metabolites%20Profiling%20Support%20the%20Contribution%20of%20BCAT%20Genes%20to%20Drought%20Stress%20Response.pdf"}, {"href": "https://escholarship.org/content/qt4bk8m1j8/qt4bk8m1j8.pdf"}, {"href": "https://doi.org/10.3389/fpls.2020.00891"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2020.00891", "name": "item", "description": "10.3389/fpls.2020.00891", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2020.00891"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-03T00:00:00Z"}}, {"id": "10.2136/sssaj2003.1195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:17Z", "type": "Journal Article", "created": "2010-07-27", "description": "In the Brazilian savanna, there is a risk that soil fertility of pastures declines to a level below that of the native savanna because of low fertilizer application. To evaluate biophysical pasture sustainability we compared regularly fertilized productive pasture (PP), degraded pasture fertilized 13 yr previously (DP), and native savanna (Cerrado, CE) in an on-farm experiment. We determined (i) biomass productivity of the pastures and (ii) nutrient concentrations in Anionic Acrustoxes from three plots under each of CE, DP, and PP. From the 0- to 2-m soil layer, we sampled solid phase in January 1998 and soil solution during two rainy seasons (1997-1998 and 1998-1999). The mean aboveground biomass production (dry weight) was 2.1 Mg ha -1  yr -4  for DP and 4.1 Mg ha -1  yr -1  for PP. In the solid phase of the 0- to 0.15-m layer, mean total N and S and exchangeable Ca and Mg concentrations increased in the order CE < DP < PP, while NaHCO 3 -extractable P was not significantly different among CE, DP, and PP. In the soil solution at 0.15-m depth, pH and concentrations of Ca and Mg also increased in the order CE < DP < PP. At the 2-m depth, only K, Mn, and NO 3 -N concentrations in soil solution were slightly higher under the pastures than under CE indicating an increased risk of leaching losses to below the rooting zone. Thus, topsoil fertility in both pastures is increased compared with CE, and little leaching occurs. Some fertility indicators in DP are still improved compared with CE 13 yr after a single fertilization.", "keywords": ["productividad", "2. Zero hunger", "productivity", "soil fertility", "tierras de pastos", "04 agricultural and veterinary sciences", "fertilidad del suelo", "15. Life on land", "01 natural sciences", "rangelands", "pastures", "savannas", "soil exhaustion", "pastizales", "0401 agriculture", " forestry", " and fisheries", "agotamiento del suelo", "sabanas", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Lilienfein, J, Wilcke, W., Vilela, L, Ayarza, Miguel Angel, Carmo Lima, S. do, Zech, W.,", "roles": ["creator"]}]}, "links": [{"href": "http://ciat-library.ciat.cgiar.org/articulos_ciat/lilienfein2003.pdf"}, {"href": "https://doi.org/10.2136/sssaj2003.1195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj2003.1195", "name": "item", "description": "10.2136/sssaj2003.1195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj2003.1195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-07-01T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:24Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.3390/agronomy10071044", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:50Z", "type": "Journal Article", "created": "2020-07-20", "title": "Spatial Modelling of Within-Field Weed Populations; a Review", "description": "<p>Concerns around herbicide resistance, human risk, and the environmental impacts of current weed control strategies have led to an increasing demand for alternative weed management methods. Many new weed management strategies are under development; however, the poor availability of accurate weed maps, and a lack of confidence in the outcomes of alternative weed management strategies, has hindered their adoption. Developments in field sampling and processing, combined with spatial modelling, can support the implementation and assessment of new and more integrated weed management strategies. Our review focuses on the biological and mathematical aspects of assembling within-field weed models. We describe both static and spatio-temporal models of within-field weed distributions (including both cellular automata (CA) and non-CA models), discussing issues surrounding the spatial processes of weed dispersal and competition and the environmental and anthropogenic processes that affect weed spatial and spatio-temporal distributions. We also examine issues surrounding model uncertainty. By reviewing the current state-of-the-art in both static and temporally dynamic weed spatial modelling we highlight some of the strengths and weaknesses of current techniques, together with current and emerging areas of interest for the application of spatial models, including targeted weed treatments, economic analysis, herbicide resistance and integrated weed management, the dispersal of biocontrol agents, and invasive weed species.</p>", "keywords": ["ANZSRC::3004 Crop and pasture production", "2. Zero hunger", "land and farm management", "Targeted weed treatment", "weed mapping", "S", "site specific weed management", "ANZSRC::3002 Agriculture", "Integrated weed management", "Agriculture", "Spatio-temporal models", "04 agricultural and veterinary sciences", "15. Life on land", "630", "targeted weed treatment", "spatio-temporal models", "integrated weed management", "Weed mapping", "0401 agriculture", " forestry", " and fisheries", "Site specific weed management"]}, "links": [{"href": "https://www.mdpi.com/2073-4395/10/7/1044/pdf"}, {"href": "https://doi.org/10.3390/agronomy10071044"}, {"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/agronomy10071044", "name": "item", "description": "10.3390/agronomy10071044", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy10071044"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-20T00:00:00Z"}}, {"id": "10.3390/agronomy11050946", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:50Z", "type": "Journal Article", "created": "2021-05-11", "title": "Estimating Farm Wheat Yields from NDVI and Meteorological Data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Information on crop yield at scales ranging from the field to the global level is imperative for farmers and decision makers. The current data sources to monitor crop yield, such as regional agriculture statistics, are often lacking in spatial and temporal resolution. Remotely sensed vegetation indices (VIs) such as NDVI are able to assess crop yield using empirical modelling strategies. Empirical NDVI-based crop yield models were evaluated by comparing the model performance with similar models used in different regions. The integral NDVI and the peak NDVI were weak predictors of winter wheat yield in northern Belgium. Winter wheat (Triticum aestivum) yield variability was better predicted by monthly precipitation during tillering and anthesis than by NDVI-derived yield proxies in the period from 2016 to 2018 (R2 = 0.66). The NDVI series were not sensitive enough to yield affecting weather conditions during important phenological stages such as tillering and anthesis and were weak predictors in empirical crop yield models. In conclusion, winter wheat yield modelling using NDVI-derived yield proxies as predictor variables is dependent on the environment.</p></article>", "keywords": ["yield estimation", "PREDICTION", "NDVI", "Triticum aestivum", "0703 Crop and Pasture Production", "3002 Agriculture", " land and farm management", "3004 Crop and pasture production", "Belgium", "0502 Environmental Science and Management", "<i>Triticum aestivum</i>", "2. Zero hunger", "Science & Technology", "S", "Plant Sciences", "Agriculture", "weather impact", "04 agricultural and veterinary sciences", "WINTER-WHEAT", "15. Life on land", "Agronomy", "winter wheat", "MODEL", "RESOLUTION", "SENTINEL-2", "0401 agriculture", " forestry", " and fisheries", "LANDSAT 8", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/5/946/pdf"}, {"href": "https://doi.org/10.3390/agronomy11050946"}, {"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/agronomy11050946", "name": "item", "description": "10.3390/agronomy11050946", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11050946"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "10.2478/botcro-2014-0003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:34Z", "type": "Journal Article", "created": "2014-07-02", "description": "Abstract <p>Optimal grazing pressure on rocky pastures is beneficial to the development of plant species and maintenance of plant diversity. Both abandonment of grazing and overgrazing gradually reduce plant diversity. This paper correlated abundance patterns of the flora on rocky pastures with the values of the chemical composition of the soil resulting from the degree of sheep grazing intensity. The study was carried out in the period from 2008 to 2010 on the islands of Pag, Krk and Cres. At 30 sites, 310 taxa of vascular plants were found. The highest plant diversity and 220 plant taxa were found on moderately grazed pastures. Abandoned pastures with a total of 93 plant taxa observed show the dominance of phanerophytes (35.5%) and the highest proportion of the Mediterranean floral element when compared to pastures of moderate and heavy grazing intensity. The highest concentration of total nitrogen in the soil (0.71%) was recorded on plots of heavy grazing intensity. The results of the study indicate that moderate grazing intensity, from 1 to 1.5 sheep ha\uffe2\uff88\uff921, can be recommended on the northern Adriatic islands. This should contribute not only to the preservation of plant diversity, but also to the improvement of ecological sheep farming.</p>", "keywords": ["chemical composition of the soil; Mediterranean flora; rocky pasture; sheep grazing intesity", "0106 biological sciences", "2. Zero hunger", "13. Climate action", "Mediterranean flora", "sheep grazing intesity", "chemical composition of the soil", "rocky pasture", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.2478/botcro-2014-0003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Botanica%20Croatica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2478/botcro-2014-0003", "name": "item", "description": "10.2478/botcro-2014-0003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2478/botcro-2014-0003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-10-28T00:00:00Z"}}, {"id": "10.5061/dryad.ms2np57", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:32Z", "type": "Dataset", "title": "Data from: Grazing enhances belowground carbon allocation, microbial biomass, and soil carbon in a subtropical grassland", "description": "unspecifiedLignin  PhenolsData file with results  from lignin phenol extraction of soil samples, and plant tissue  end-members (i.e. shoots, rhizomes and roots of Bahiagrass from inside and  outside grazing exclosure). The major families are summarized as v  (vannilyl), c (cinnamyl) and s (syringyl). Column 'vsc'  represents the sum of v,s, and c, standardized per 100 mg organic carbon,  whereas 'vsc.sed' is standardized per 1 g of soil weight.  'adal.v' is the acid-aldehyde ratio of the vanillyl  family.gcb_lignin.csvSoils EA/IRMSFile with results of elemental analysis and isotope ratio mass spectrometry. Note that plot number needs to be paired with treatment ('trt') to generate a unique ID. 'Back' column identifies whether data is from background survey of exclosures, or from pulse-chase plots.Soils_EAIRMS.csvPulse Chase Vegetation EA/IRMSData with results of EA/IRMS analysis on plant samples from pulse chase experiment. Note that plot number and treatment must be combined to generate a unique plot ID. Harvest identifies time post pulse (2 days, 7 days, or 32 days). Pool identifies whether it is shoots ('Ag Veg'), roots or rhizomes ('Rh'). 'Sub' represents replicated harvested swaths ('A' or 'B') per harvest date (for 2 day and 7 day only, hence 32 day is identified as AA). One sample was accidentally combined in the field and is identified with A/B. Biomass is reported only for the t = 0 initial harvests of aboveground material.PulseChase_VegDataALL.csvPulse Chase Vegetation MassContains dry weight biomass for all plant samples collected in pulse chase experiment. Note that treatment and plot number must be combined to generate unique plot ID. 'Sub' identifies replicate harvest swath collected at each harvest date (2 day and 7 day only, 32 day only had one swath and is thus identified as AA, as is the t=0 harvest of aboveground tissue immediately post pulse). 'Harvest' identifies time of harvest post pulse and is either 0 (immediately post pulse, aboveground tissue only), '2d' (2 day), '7d' (7 day), or '32day' (32 days). 'Pool' identifies the plant tissue and is either shoots ('Ag Veg'), roots ('Root') or rhizomes ('Rh'). Biomass is in grams. 'Standing dead' represents the senesced tissue sorted out of the sample prior to analysis, and is also in grams.PlantData_MassALL.csvPulse Chase Microbial DataMicrobial biomass and isotope ratio data. Note that treatment and plot number must be combined to generate a unique sample ID. Harvest indicates time since post pulse: '48' represents 2 days, '336' represents 7 days, and 4 represents 32 days. 'Sub' represents replicated harvest swath within a given harvest date (2 day and 7 day only). Column 'Rep' can be ignored. 'mgC/dry_mass_soil(g)' represents the carbon concentration of the extract, standardized per gram of soil extracted. 'd13c (permil, versus VPDB)' is the standard isotope delta 13C value, and 'Fumigated' identifies fumigated extracts (containing lysed microbial cell contents in addition to dissolved organic carbon, DOC) and 'unfumigated' extracts (which contain just DOC). Formulae for calculating microbial biomass and isotope enrichment are in the main paper, and are also explained in the open source code used to process and analyze data available at https://github.com/chwilson/GCB_2018).PulseChase_MicrobialData.csv", "keywords": ["2. Zero hunger", "belowground carbon allocation", "soil organic carbon", "microbial biomass", "Lignin Phenols", "Paspalum notatum", "Large Herbivore Grazing", "subtropical pasture", "15. Life on land"], "contacts": [{"organization": "Wilson, Chris H., Strickland, Michael S., Hutchings, Jack A., Bianchi, Thomas S., Flory, S. Luke,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ms2np57"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ms2np57", "name": "item", "description": "10.5061/dryad.ms2np57", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ms2np57"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-13T00:00:00Z"}}, {"id": "10.5061/dryad.266m0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:23Z", "type": "Dataset", "title": "Data from: Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland", "description": "unspecifiedSoil carbon sequestration in agroecosystems could play a key role in  climate change mitigation but will require accurate predictions of soil  organic carbon (SOC) stocks over spatial scales relevant to land  management. Spatial variation in underlying drivers of SOC, such as plant  productivity and soil mineralogy, complicates these predictions. Recent  advances in the availability of remotely sensed data make it practical to  generate multidecadal time series of vegetation indices with high spatial  resolution and coverage. However, the utility of such data largely is  unknown, only having been tested with shorter (e.g., 1-2 year) data  summaries. Across a 2000 ha subtropical grassland, we found that a long  time series (28 years) of a vegetation index (Enhanced Vegetation Index;  EVI) derived from the Landsat 5 satellite significantly enhanced  prediction of spatially varying SOC pools, while a short summary (2 years)  was an ineffective predictor. EVI was the best predictor for surface SOC  (0-5 cm depth) and total measured SOC stocks (0-15 cm). The optimum models  for SOC in the upper soil layer combined EVI records with elevation and  calcium concentration, while deeper SOC was more strongly associated with  calcium availability. We demonstrate how data from the open access Landsat  archive can predict SOC stocks, a key ecosystem metric, and illustrate the  rich variety of analytical approaches that can be applied to long time  series of remotely sensed greenness. Overall, our results showed that SOC  pools were closely coupled to EVI in this ecosystem, demonstrating that  maintenance of higher average green leaf area is correlated with higher  SOC. The strong associations of vegetation greenness and calcium  concentration with SOC suggest that the ability to sequester additional  SOC likely will rely on strategic management of pasture vegetation and  soil fertility.", "keywords": ["2. Zero hunger", "13. Climate action", "vegetation greenness", "grazing lands", "Paspalum notatum", "subtropical pasture", "15. Life on land", "Soil carbon", "enhanced vegetation index"], "contacts": [{"organization": "Wilson, Chris H., Caughlin, T. Trevor, Rifai, Sami W., Boughton, Elizabeth H., Mack, Michelle C., Flory, S. Luke,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.266m0"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.266m0", "name": "item", "description": "10.5061/dryad.266m0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.266m0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-03T00:00:00Z"}}, {"id": "10.5061/dryad.c2fqz6175", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:28Z", "type": "Dataset", "title": "Plant composition of northern temperate pastures and their disturbance history in Alberta, Canada", "description": "unspecifiedMethods copied from our accepted manuscript:\u00a0Pyle, Lysandra A.,  Hall, Linda, and Bork, Edward W. (In Press). Northern temperate pastures  exhibit divergent plant community responses to management and disturbance  legacies identified through a producer survey. <em>Applied  Vegetation Science</em>. <b>1.\u00a0 Study  location</b> We surveyed 102 pastures during 2012 (n=44) and 2013 (n=58)  between May 24 and July 6, distributed across agricultural lands within 80  km of Edmonton, Alberta, Canada.\u00a0 About half the pastures were in the  Central Parkland (n=50), with the remainder in the Dry Mixedwood (n=50)  and Central Mixedwood (n=2) subregions.\u00a0A large and well-distributed  sample size ensured wide variation in soil textures, seeded and non-seeded  vegetation, and management actions. Pastures were selected using a  stratified random approach, separated by at least 800 m. Pastures were  identified through consultation with municipal county staff, then driving  roadsides to confirm suitable fields visually. Pastures had to accommodate  a 260 m long transect (minimum of 4 ha) with buffer zones from wetlands  (30 m), forests and fence lines (10 m), with larger pastures given  preference.\u00a0Acquisition of sites was constrained by landowners\u2019  willingness to grant permission to their land, although refusals were  uncommon (n &lt; 10). A privacy agreement with landowners prohibits us  from releasing the locations of pastures.  <strong>2. Producer management and disturbance  history</strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Pasture management  and disturbance history were acquired for all 102 pastures through a  retrospective, in-person interview.\u00a0Interviews were approved by the  University of Alberta\u2019s Research Ethics Board (ID: Pro0030842). Interviews  identified historical and current land-use practices and natural  disturbances potentially influencing soil and vegetation. Managers were  initially asked about ownership and whether the pasture had been  previously cultivated. If cultivated, managers estimated when it was  planted (grassland age) and how (seeding history was described in Pyle,  Hall, &amp; Bork, 2018); cultivation status could also be classified  as unknown (attributed to land-turnover or rented pasture). Recent  management actions were summarized, including grazing history (grazing  system, timing of grazing, number of animals, type of livestock,  supplemental feeding with hay), mechanical treatments (aerated, harrowed,  or swathed/mowed), nutrient addition (fertilizer or manure), or herbicide  application. Livestock stocking rates [in animal-unit-months per ha (AUM  ha<sup>-1</sup>)] were calculated for pastures (n=80) where  adequate information on grazing activities was obtained (see Pyle, Hall,  &amp; Bork, 2018), where one AUM is the forage required to support a  mature cow (with or without a calf) for one month. Other natural  disturbances capable of influencing vegetation, such as a known history of  recent fire, were recorded. All management actions and disturbance factors  are described in Appendix S1 (<em>Applied Vegetation  Science</em> manuscript). <strong>3.  Plant cover, ground cover, and soil properties</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Following the interview, a grassland assessment was  conducted. To begin sampling, a random point was located from which a 260  m long \u2018W-transect\u2019 was laid out (Thomas, 1985). Plant composition and  ground cover were assessed at nine equidistant locations using a 0.25  m<sup>2</sup> quadrat. Foliar cover was estimated for each  plant species, with trace species recorded as 0.1%. Plants were identified  (Moss &amp; Packer, 1983) and nomenclature updated using VASCAN  (Brouillet et al., 2018). Plant species were later grouped into major  cover components by origin (total native, total introduced) and growth  form [forbs, graminoids (grasses, sedges, rushes)], as well as functional  groups such as introduced grasses (seeded or widely naturalized),  introduced legumes (seeded or widely naturalized), introduced ruderal  forbs (agronomic weeds), noxious weeds [defined by the <i>Weed  Control Act </i>(Province of Alberta, 2010)], native perennial  graminoids, native perennial forbs, native ruderal forbs, and native woody  plants. These functional groups are related to rangeland health, which  evaluates key forages, along with unpalatable and disturbance-induced  plants. For each pasture, plant community richness, diversity (effective  number of species), and Pielou\u2019s evenness were summarized for inclusion in  multivariate analyses. At all locations where cover was observed, the area of  litter and exposed mineral soil on the ground surface were estimated, and  litter depth was measured at five random locations within the 0.25  m<sup>2 </sup>frame. Mineral soil was sampled to a depth of 15  cm at ten random locations. During preparation of soil cores (Pyle, Hall,  &amp; Bork, 2019), charcoal layers in the top 15 cm of mineral soil  were often found, indicating fire occurrence in the pasture\u2019s history and  not reported by managers. For each grassland, soil properties including %  total carbon (C), % total nitrogen (N), carbon to nitrogen ratio (C:N),  organic matter (OM), pH, electrical conductivity (EC), and texture (%  clay, % sand, % silt) were measured. Procedures and specific responses are  summarized elsewhere (Pyle, Hall, &amp; Bork, 2019).  <strong>4. Rangeland health</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Rangeland health was assessed using the <i>Tame  Pasture Assessment Form </i>developed by Alberta Environment and  Parks (Adams et al., 2010; resources available at https://www.alberta.ca/range-health.aspx). In brief, this process evaluated grasslands based on six criteria, including: (1) vegetation composition and forage cover (tame or modified-tame), (2) the status of vegetation as either desirable (i.e., tall, productive forages) or non-desirable (non-palatable) species in tame pasture, (3) hydrologic function and nutrient cycling (abundance of litter), (4) site stability (exposed mineral soil and evidence of erosion), (5) noxious weeds, and (6) encroachment by woody plants (scoring is summarized in Pyle, Hall, &amp; Bork, 2018). In total, 60% of the health score arises from vegetation attributes, 25% from hydrologic function, and 15% from site stability (Adams et al., 2010). <strong>5. Literature Cited</strong> Adams, B. W., Ehlert, G., Stone, C., Lawrence, D., Alexander, M., Willoughby, M., Hincz, C., Moisey, D., Burkinshaw, A., Carlson, J., &amp; France, K. (2010). <i>Rangeland health assessment for grassland, forest and tame pasture</i>. Public Lands and Forests Division, Alberta Sustainable Resource Development, Alberta, Canada. \u00a0 Brouillet L, Desmet P, Coursol F, Meades SJ, Favreau M, Anions M, B\u00e9lisle P, Gendreau C, Shorthouse D, &amp; Contributors. (2018). <i>Database of Vascular Plants of Canada (VASCAN).</i> Online at http://data.canadensys.net/vascan. https://doi.org/10.3897/phytokeys.25.3100\u00a0 [accessed in August 2018] \u00a0 Moss, E. H., &amp; Packer, J. G. (1983). <i>Flora of Alberta: a manual of flowering plants, conifers, ferns, and fern allies found growing without cultivation in the Province of Alberta, Canada </i>(2<sup>nd</sup> ed.). University of Toronto Press, London, Ontario, Canada. Province of Alberta. 2010. <i>Weed Control Act</i>. Her Majesty the Queen in the Right of Alberta, Edmonton, Alberta, Canada. Pyle, L. A, Hall, L. M. &amp; Bork, E. W. (2018). Linking management practices with range health in northern temperate pastures. <i>Canadian Journal of Plant Science</i>, 98(3), 657-671. https://doi.org/10.1139/cjps-2017-0223 Pyle, L. A, Hall, L. M., &amp; Bork, E. W. (2019). Soil properties in northern temperate pastures do not vary with management practices and are independent of rangeland health. <i>Canadian Journal of Soil Science</i>, 99(4), 495-507. https://doi.org/10.1139/CJSS-2019-0076 Thomas, A. G. (1985). Weed survey system used in Saskatchewan for cereal and oilseed crops. <i>Weed Science</i>, 33(1), 34-43. https://doi.org/10.1017/S0043174500083892", "keywords": ["2. Zero hunger", "pasture management", "plant composition", "vegetation composition", "disturbance legacy", "15. Life on land", "rangeland health", "12. Responsible consumption", "fire history", "cultivation", "soil properties", "pasture inputs", "FOS: Other agricultural sciences", "producer survey"]}, "links": [{"href": "https://doi.org/10.5061/dryad.c2fqz6175"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c2fqz6175", "name": "item", "description": "10.5061/dryad.c2fqz6175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c2fqz6175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-25T00:00:00Z"}}, {"id": "10.5281/zenodo.15686591", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-01T16:22:58Z", "type": "Dataset", "created": "2005-06-18", "title": "Soils of silvopastoral system in Southern Brazil", "description": "Dataset of the paper 'Total carbon and nitrogen stocks and the granulometric fractions of organic matter in soils of silvopastoral system with tree nuclei in Southern Brazil' ofFiliation:\u00a0  1 Universidade Federal de Santa Catarina (UFSC), Centro de Ci\u00eancias Agr\u00e1rias (CCA), Programa de P\u00f3s-Gradua\u00e7\u00e3o em Agroecossistemas (PGA), Florian\u00f3polis, Santa Catarina, Brasil.  2 Universidade de S\u00e3o Paulo (USP), Centro de Energia Nuclear na Agricultura (CENA), Programa de P\u00f3s-Gradua\u00e7\u00e3o em Agroecossistemas (PGA), Florian\u00f3polis, Santa Catarina, Brasil  *Corresponding Author: arcangelo.loss@ufsc.br", "keywords": ["Soil", "Nitrogen", "Pasture", "Carbon"], "contacts": [{"organization": "Loss, Arc\u00e2ngelo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15686591"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15686591", "name": "item", "description": "10.5281/zenodo.15686591", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15686591"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-18T00:00:00Z"}}, {"id": "10.5281/zenodo.17297066", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:23:04Z", "type": "Dataset", "title": "Regenerative agriculture can improve productivity and profitability while reducing greenhouse gas emissions on Australian sheep farms", "description": "This dataset contains simulation files and outputs for (1) grazing treatment, (2) pasture species diversity, and (3) antecedent soil organic carbon (SOC), generated using the biophysical model\u00a0SGS (v5.4.3) in conjunction with DairyMod. Simulations incorporated 100 years (1924\u20132023) of SILO climate data and representative soil types from the Digital Atlas of Australian Soils. Four sheep farms\u2014WA (F1), SA (F2), VIC (F3), and VIC (F4)\u2014located across key Australian livestock regions, from cool temperate (Victoria) to semi-arid (Western Australia), were modelled using site-specific soil, climate, and management parameters to assess pasture and soil responses under varying environmental conditions.", "keywords": ["Drought", "Soil organic carbon", "Extreme climatic events", "Regenerative", "Climate change", "Pasture diversity", "Grazing management"], "contacts": [{"organization": "Muleke, Albert, Christie-Whitehead, Karen, Cain, Michelle, Liu, Ke, Burgess, Paul, Wiltshire, Catherine, Pexas, Georgios, Harrison, Matthew,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17297066"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17297066", "name": "item", "description": "10.5281/zenodo.17297066", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17297066"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-09T00:00:00Z"}}, {"id": "10.5281/zenodo.17703335", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-01T16:23:06Z", "type": "Dataset", "title": "Estoques de Carbono em solos sob sistemas de produ\u00e7\u00e3o integrados no Leste Maranhense", "description": "Integrated crop-livestock-forest systems are efficient in accumulating soil organic carbon in tropical light-textured soils of Matopiba region 'It is farm-scale study with the following treatments:  - Crop-livestock  - Crop-forest  - Livestock-forest  - No-till soybean  - Livestock (pasture)' 'For soybeans and maize: Two lines (0.5 m spaced) 4 m long  For pasture: 3 quadrats 0.5 m2 in each replication ' 4 replications Soil dephts: 0.0-0.20 m; 0.20-0.40 m 'pH in water (1:2.5 soil:solution); total organic carbon (TOC) determined by wet digestion with potassium dichromate; K and available P extracted with Mehlich-1 (H2SO4  0.0125 mol L?1 and of HCl 0.050 mol L?1) and the determination of K concentration through  flame photometry and P by colorimetry; Ca, Mg, and Al extracted with KCl 1 mol L?1 and  Ca and Mg determined by atomic absorption spectrometry and Al by titration; potential acidity (H + Al) via extraction with 0.5 mol L?1 of calcium acetate and quantified by titration' 'Soil dephts: 0.0-0.20 m; 0.20-0.40 m; 0.40-0.60 m; 0.60-1.00 m  Total organic carbon (TOC) determined by wet digestion with potassium dichromate.\u00a0  Undisturbed soil samples will be collected for the determination of soil bulk density (DS).\u00a0  Carbon stocks will be calculated using the equation: E = DS x C (or N) x e  where: BD = soil bulk density (g cm?3), C = carbon content (g 100 g?1), N = nitrogen content (g 100 g?1), and e = soil layer (cm).  ' Undisturbed soil samples will be collected for the determination of soil bulk density (DS) None 'Soil depth: 0.0-0.10 m  - Soil basal respiration  - Microbial C and N biomass  - Microbial quocient (qMic)  - Metabolic quocient (qCO2)'", "keywords": ["crop-pasture", "acrisol"], "contacts": [{"organization": "Sagrilo, Edvaldo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17703335"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17703335", "name": "item", "description": "10.5281/zenodo.17703335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17703335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-11-24T00:00:00Z"}}, {"id": "10.7910/DVN/XCU8I6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:18Z", "type": "Dataset", "title": "Water Smart Agriculture in Mesoamerica On-Farm Trial Dataset", "description": "Soil and water resource degradation coupled with an increasingly extreme and variable climate threaten the food security and livelihoods of millions of smallholder farmers in the Dry Corridor of Central America. Water Smart Agriculture is an approach to increase agricultural productivity and build climate resilience through the restoration of soil and water resources. The Water Smart Agriculture Program for Mesoamerica (WSA) brought together a network of local organizations and smallholder farmers across Nicaragua, El Salvador, Honduras, Guatemala and Oaxaca, Mexico that aim to evaluate and promote soil health-building practices. WSA practices including conservation agriculture and integrated soil fertility management and cover crops were tested on 3432 on-farm trails in coffee, basic grains and pasture systems across the region. Practices were adapted to local agroclimatic conditions, cropping systems and socioeconomic context and, together with farmers, were evaluated in direct comparison to the farmer conventional practice using a set of soil health, productivity and economic indicators. Results demonstrate that WSA practices result in improvements in soil health that translate into increased productivity and economic benefits.  &lt;br&gt; &lt;br&gt; This dataset is organized in the following data table files for each country: &lt;br&gt; &lt;br&gt; 1. Farm Location  &lt;br&gt; The location of the WSA field trials. &lt;br&gt; &lt;br&gt; 2. Agronomic Practices  &lt;br&gt; Agronomic practices implemented in the WSA plots and the farmer control plots. &lt;br&gt; &lt;br&gt; 3. Yield, Costs and Income  &lt;br&gt; Crop yields, production costs and income in the WSA plots and the farmer control plots. &lt;br&gt; &lt;br&gt; 4. Soil Moisture &lt;br&gt; Soil moisture monitored in the WSA plots the and farmer control plots.  &lt;br&gt; &lt;br&gt; 5. Soil Organic Carbon &lt;br&gt; Soil organic carbon in the WSA plots and the farmer control plots. &lt;br&gt; &lt;br&gt; 6. Soil Indicators &lt;br&gt; Additional soil health indicators monitored (bulk density, soil cover, earth worms and infiltration) in the WSA plots and the farmer control plots.  &lt;br&gt; &lt;br&gt; 7. Soil Analysis &lt;br&gt; Laboratory soil analysis in the WSA plots and the farmer control plots. &lt;br&gt; &lt;br&gt; 8. WSA Area &lt;br&gt; The area of implementation of WSA practices on WSA farms. &lt;br&gt; &lt;br&gt; 9. WSA Perceptions &lt;br&gt; Farmer perceptions of WSA impacts on soil, water, yield, food security and income. &lt;br&gt; &lt;br&gt; Codebooks with relevant variables' meta-data in English and Spanish are provided for each data table category.", "keywords": ["Soil", "Agricultural Sciences", "Beans", "Pasture", "Central America", "Conservation Agriculture", "Coffee", "Maize"], "contacts": [{"organization": "Catholic Relief Services", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XCU8I6"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XCU8I6", "name": "item", "description": "10.7910/DVN/XCU8I6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XCU8I6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10568/96134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:40Z", "type": "Journal Article", "created": "2018-06-20", "title": "Fungal communities associated with almond throughout crop development: Implications for aflatoxin biocontrol management in California", "description": "Interactions between pathogenic and nonpathogenic fungal species in the tree canopy are complex and can determine if disease will manifest in the plant and in other organisms such as honey bees. Seasonal dynamics of fungi were studied in an almond orchard in California where experimental release of the atoxigenic biopesticide Aspergillus flavus AF36 to displace toxigenic Aspergillus strains has been conducted for five years. The presence of the vegetative compatibility group (VCG) YV36, to which AF36 belongs, in the blossoms, and the honey bees that attend these blossoms, was assessed. In blossoms, A. flavus frequencies ranged from 0 to 4.5%, depending on the year of study. Frequencies of honey bees carrying A. flavus ranged from 6.5 to 10%. Only one A. flavus isolate recovered from a blossom in 2016 belonged to YV36, while members of the VCG were not detected contaminating honey bees. Exposure of pollinator honey bees to AF36 was detected to be very low. The density of several Aspergillus species was found to increase during almond hull split and throughout the final stages of maturation; this also occurred in pistachio orchards during the maturation period. Additionally, we found that AF36 effectively limited almond aflatoxin contamination in laboratory assays. This study provides knowledge and understanding of the seasonal dynamics of Aspergillus fungi and will help design aflatoxin management strategies for almond. The evidence of the low levels of VCG YV36 encountered on almond blossoms and bees during pollination and AF36's effectiveness in limiting aflatoxin contamination in almond provided additional support for the registration of AF36 with USEPA to use in almond in California.", "keywords": ["honey bees", "Crop and Pasture Production", "Crops", " Agricultural", "0301 basic medicine", "aflatoxins", "570", "General Science & Technology", "Science", "Veterinary and Food Sciences", "Crops", "Food Contamination", "Flowers", "Microbiology", "630", "California", "Trees", "03 medical and health sciences", "aspergillus flavus", "Aflatoxins", "Species Specificity", "Animals", "Nuts", "california", "Pest Control", " Biological", "Pollination", "2. Zero hunger", "Agricultural", "Q", "R", "almonds", "Feeding Behavior", "Biological Sciences", "Bees", "Biological", "Prunus dulcis", "Emerging Infectious Diseases", "Infectious Diseases", "Pistacia", "Food Microbiology", "Medicine", "Pest Control", "Research Article", "Aspergillus flavus", "Mycobiome"]}, "links": [{"href": "https://escholarship.org/content/qt84b3j5md/qt84b3j5md.pdf"}, {"href": "https://doi.org/10568/96134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10568/96134", "name": "item", "description": "10568/96134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10568/96134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-20T00:00:00Z"}}, {"id": "11381/2878335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:48Z", "type": "Journal Article", "created": "2020-07-24", "title": "Shaping Durum Wheat for the Future: Gene Expression Analyses and Metabolites Profiling Support the Contribution of BCAT Genes to Drought Stress Response", "description": "Global climate change, its implications for agriculture, and the complex scenario presented by the scientific community are of worldwide concern. Drought is a major abiotic stress that can restrict plants growth and yields, thus the identification of genotypes with higher adaptability to drought stress represents one of the primary goals in breeding programs. During abiotic stress, metabolic adaptation is crucial for stress tolerance, and accumulation of specific amino acids and/or as secondary metabolites deriving from amino acid metabolism may correlate with the increased tolerance to adverse environmental conditions. This work, focused on the metabolism of branched chain-amino acids (BCAAs) in durum wheat and the role of branched-chain amino acid aminotransferases (BCATs) in stress response. The role of BCATs in plant response to drought was previously proposed for Arabidopsis, where the levels of BCAAs were altered at the transcriptional level under drought conditions, triggering the onset of defense response metabolism. However, in wheat the role of BCAAs as a trigger of the onset of the drought defense response has not been elucidated. A comparative genomic approach elucidated the composition of the BCAT gene family in durum wheat. Here we demonstrate a tissue and developmental stage specificity of BCATs regulation in the drought response. Moreover, a metabolites profiling was performed on two contrasting durum wheat cultivars Colosseo and Cappelli resulting in the detection of a specific pattern of metabolites accumulated among genotypes and, in particular, in an enhanced BCAAs accumulation in the tolerant cv Cappelli further supporting a role of BCAAs in the drought defense response. The results support the use of gene expression and target metabolomic in modern breeding to shape new cultivars more resilient to a changing climate.", "keywords": ["Crop and Pasture Production", "0301 basic medicine", "570", "branched-chain aminotransferase", "Plant Biology", "Veterinary and Food Sciences", "Plant Science", "630", "SB1-1110", "03 medical and health sciences", "Genetics", "Plant biology", "2. Zero hunger", "Agricultural", "0303 health sciences", "drought stress", "Plant culture", "durum wheat", "Biological Sciences", "15. Life on land", "Crop and pasture production", "6. Clean water", "target metabolomics", "13. Climate action", "Settore AGRI-06/A - Genetica agraria", "gene expression", "branched-chain aminotransferase", " drought stress", " durum wheat", " gene expression", " target metabolomics"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/405717/1/Shaping%20Durum%20Wheat%20for%20the%20Future%3a%20Gene%20Expression%20Analyses%20and%20Metabolites%20Profiling%20Support%20the%20Contribution%20of%20BCAT%20Genes%20to%20Drought%20Stress%20Response.pdf"}, {"href": "https://escholarship.org/content/qt4bk8m1j8/qt4bk8m1j8.pdf"}, {"href": "https://doi.org/11381/2878335"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11381/2878335", "name": "item", "description": "11381/2878335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11381/2878335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-03T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:27Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "3124284276", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:59Z", "type": "Journal Article", "created": "2021-01-23", "title": "Inconsistent effects of agricultural practices on soil fungal communities across 12 European long\u2010term experiments", "description": "Abstract<p>Cropping practices have a great potential to improve soil quality through changes in soil biota. Yet the effects of these soil\uffe2\uff80\uff90improving cropping systems on soil fungal communities are not well known. Here, we analysed soil fungal communities using standardized measurements in 12 long\uffe2\uff80\uff90term experiments and 20 agricultural treatments across Europe. We were interested in whether the same practices (i.e., tillage, fertilization, organic amendments and cover crops) applied across different sites have predictable and repeatable effects on soil fungal communities and guilds. The fungal communities were very variable across sites located in different soil types and climatic regions. The arbuscular mycorrhizal fungi (AMF) were the fungal guild with most unique species in individual sites, whereas plant pathogenic fungi were most shared between the sites. The fungal communities responded to the cropping practices differently in different sites and only fertilization showed a consistent effect on AMF and plant pathogenic fungi, whereas the responses to tillage, cover crops and organic amendments were site, soil and crop\uffe2\uff80\uff90species specific. We further show that the crop yield is negatively affected by cropping practices aimed at improving soil health. Yet, we show that these practices have the potential to change the fungal communities and that change in plant pathogenic fungi and in AMF is linked to the yield. We further link the soil fungal community and guilds to soil abiotic characteristics and reveal that especially Mn, K, Mg and pH affect the composition of fungi across sites. In summary, we show that fungal communities vary considerably between sites and that there are no clear directional responses in fungi or fungal guilds across sites to soil\uffe2\uff80\uff90improving cropping systems, but that the responses vary based on soil abiotic conditions, crop type and climatic conditions.</p>Highlights<p> <p>Soil fungi were analysed using standardized measurements in 12 long\uffe2\uff80\uff90term experiments and 20 agricultural treatments</p> <p>Fungal communities responded to the cropping practices differently at different sites</p> <p>Only reduced fertilization showed a consistent effect on AMF and plant pathogenic fungi, whereas the responses to tillage, cover crops and organic amendments were site specific.</p> <p>Fungal community structure varied significantly between sites, crops and climate conditions; therefore, more cross\uffe2\uff80\uff90site studies are needed in order to manage beneficial soil fungi in agricultural systems.</p> </p", "keywords": ["soil&#8208", "DIVERSITY", "0607 Plant Biology", "0703 Crop and Pasture Production", "Soil Science", "ARBUSCULAR MYCORRHIZAL FUNGI", "FERTILIZATION", "improving cropping systems", "soil fungi", "0503 Soil Sciences", "S Agriculture (General)", "CROPS", "METAANALYSIS", "TILLAGE", "2. Zero hunger", "Science & Technology", "long&#8208", "LAND-USE", "soil-improving cropping systems", "Agriculture", "Agronomy & Agriculture", "04 agricultural and veterinary sciences", "PERFORMANCE", "15. Life on land", "4106 Soil sciences", "long-term experiments", "organic amendments", "international", "tillage", "term experiments", "POPULATIONS", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "Plan_S-Compliant_OA", "Life Sciences & Biomedicine"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.13090"}, {"href": "https://rau.repository.guildhe.ac.uk/id/eprint/16456/1/ejss.13090.pdf"}, {"href": "https://doi.org/3124284276"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3124284276", "name": "item", "description": "3124284276", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3124284276"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-18T00:00:00Z"}}, {"id": "3161294357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:26:02Z", "type": "Journal Article", "created": "2021-05-11", "title": "Estimating Farm Wheat Yields from NDVI and Meteorological Data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Information on crop yield at scales ranging from the field to the global level is imperative for farmers and decision makers. The current data sources to monitor crop yield, such as regional agriculture statistics, are often lacking in spatial and temporal resolution. Remotely sensed vegetation indices (VIs) such as NDVI are able to assess crop yield using empirical modelling strategies. Empirical NDVI-based crop yield models were evaluated by comparing the model performance with similar models used in different regions. The integral NDVI and the peak NDVI were weak predictors of winter wheat yield in northern Belgium. Winter wheat (Triticum aestivum) yield variability was better predicted by monthly precipitation during tillering and anthesis than by NDVI-derived yield proxies in the period from 2016 to 2018 (R2 = 0.66). The NDVI series were not sensitive enough to yield affecting weather conditions during important phenological stages such as tillering and anthesis and were weak predictors in empirical crop yield models. In conclusion, winter wheat yield modelling using NDVI-derived yield proxies as predictor variables is dependent on the environment.</p></article>", "keywords": ["yield estimation", "PREDICTION", "NDVI", "Triticum aestivum", "0703 Crop and Pasture Production", "3002 Agriculture", " land and farm management", "3004 Crop and pasture production", "Belgium", "0502 Environmental Science and Management", "<i>Triticum aestivum</i>", "2. Zero hunger", "Science & Technology", "S", "Plant Sciences", "Agriculture", "weather impact", "04 agricultural and veterinary sciences", "WINTER-WHEAT", "15. Life on land", "Agronomy", "winter wheat", "MODEL", "RESOLUTION", "SENTINEL-2", "0401 agriculture", " forestry", " and fisheries", "LANDSAT 8", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/5/946/pdf"}, {"href": "https://doi.org/3161294357"}, {"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": "3161294357", "name": "item", "description": "3161294357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3161294357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "GOIB_CDE_FP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:27:53Z", "type": "Dataset", "language": "es", "title": "DATASET of slope, soil and vegetation factor for calculate the CAP of Balearic Islands", "description": "Image of slope, soil and vegetation factor obtained from the LIDAR flight of 2014 that is used in the calculation of the automatic pasture land coefficient (CAP). Slope factor: It identifies zones with high slope and treats it as not herbaceous and therefore not admissible. Vegetation factor: It identifies zones with vegetation of more than 40cm of height and treats it as not herbaceous and therefore not admissible. Soil factor: It identifies soil zones without vegetation and treats it as not admissible.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["2014", "balearic-islands", "cap", "eivissa", "elevaciones", "elevacions", "elevation", "es", "formentera", "goib", "govern-de-les-illes-balears", "ibiza", "illes-balears", "institut-cartogra\u0300fic-i-geogra\u0300fic-de-les-illes-balears", "islas-baleares", "mallorca", "menorca", "pasto", "pastura", "pasture", "pendent", "pendiente", "slope", "soil", "so\u0300l", "suelo", "vegetacio\u0301", "vegetacio\u0301n", "vegetation"], "contacts": [{"organization": "Institut Cartogr\u00e0fic i Geogr\u00e0fic de les Illes Balears", "roles": ["creator"]}]}, "links": [{"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WCSServer?request=GetCapabilities&service=WCS"}, {"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "http://data.europa.eu/88u/dataset/b6e07eec-f820-460e-8677-b4842281822e"}, {"rel": "self", "type": "application/geo+json", "title": "GOIB_CDE_FP", "name": "item", "description": "GOIB_CDE_FP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GOIB_CDE_FP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "303ceaa4-9375-4f42-8a00-d091adcd3ae0", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.58, -34.83], [-17.58, 37.33], [51.42, 37.33], [51.42, -34.83], [-17.58, -34.83]]]}, "properties": {"themes": [{"concepts": [{"id": "boundaries"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-11-02T15:33:15", "language": "eng", "title": "Africa Farming Systems 2015", "description": "2015 Farming Systems for Sub-Saharan Africa region at the continental level to capture current spatial extent of systems and provide a basis for updated analysis, trends, issues and strategic priorities for each system.\n\nIn 2000 as part of the Joint FAO-World Bank Farming Systems and Poverty Study (Dixon et al 2001) separate broad-scale farming systems were identified for the six World Bank Development Regions of the world. The current dataset is an update of the 2000 study and identifies Farming Systems for Africa at the continental level to capture current spatial extent of systems and provide a basis for updated analysis, trends, issues and strategic priorities for each system.  Within this context delineating major farming systems provides a framework to guide development and targeting of strategic agricultural policies and interventions to reduce poverty and promote the adoption of more sustainable land management practices.\nIn the 2015 study Systems were identified using an iterative process and a series of classifiers/informants including: available natural resources ( water, land, soils, elevation, length of growing period); Population (agriculture, rural, urban and total); Copping and pasture extent; the dominant pattern of farming activities and household livelihoods; access to markets and trends; nutrition, and estimated farm size Perhaps John which were augmented with expert input. \nA multidisciplinary team of experts were associated with each farming system assisting in the identification and characterisation process along with the documentation of issues such are emergent properties, drivers of change and trends, and priorities for each system. The current work updates and expands on the analysis of Sub-Saharan Africa Farming Systems in Dixon 2001 study.\nMany farming systems exhibit a strong geographical pattern reflecting a mix of factors such as climate, soil and markets. 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