{"type": "FeatureCollection", "facets": {"type": {"type": "terms", "property": "type", "buckets": [{"value": null, "count": 25}, {"value": "Journal Article", "count": 6}, {"value": "Dataset", "count": 5}, {"value": "Report", "count": 4}, {"value": "Software", "count": 1}]}, "soil_chemical_properties": {"type": "terms", "property": "soil_chemical_properties", "buckets": [{"value": "soil organic carbon", "count": 2}, {"value": "potassium", "count": 1}]}, "soil_biological_properties": {"type": "terms", "property": "soil_biological_properties", "buckets": [{"value": "rooting", "count": 1}]}, "soil_physical_properties": {"type": "terms", "property": "soil_physical_properties", "buckets": [{"value": "soil stability", "count": 41}, {"value": "bulk density", "count": 1}]}, "soil_classification": {"type": "terms", "property": "soil_classification", "buckets": []}, "soil_functions": {"type": "terms", "property": "soil_functions", "buckets": [{"value": "climate resilience", "count": 1}, {"value": "crop yields", "count": 1}, {"value": "soil fertility", "count": 1}]}, "soil_threats": {"type": "terms", "property": "soil_threats", "buckets": []}, "soil_processes": {"type": "terms", "property": "soil_processes", "buckets": []}, "soil_management": {"type": "terms", "property": "soil_management", "buckets": [{"value": "cultivation", "count": 1}]}, "ecosystem_services": {"type": "terms", "property": "ecosystem_services", "buckets": []}}, "features": [{"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:24:09Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated.   Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships)   The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans.     HLC_RUSLE.zip    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'.   List of files included in HLC_RUSLE.zip:      R_script_code named 'HLC_RUSLE'\u00a0in .rmd format   Output folder:        Figures folder: .png products of the R script code    Rasters\u00a0folder: .png products of the R script code    Tables\u00a0folder: .pdf\u00a0products of the R script code       GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data   GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format      Spatial statistics to reveal patterns and connections in the historic landscape    The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'.   It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229     Supplementary material_Land _SI_Historic Landscape Evolution.zip    Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation.     Project_Publications.zip    List of .pdf file included in the folder:\u00a0   1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2)   2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305)   3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z)   4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:41Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/978-3-319-53498-5_74", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:14:24Z", "type": "Report", "created": "2017-06-10", "title": "Review on the Methods for Evaluation of Root Reinforcement in Shallow Landslides", "description": "Open image in new window Recently geotechnical engineers aim to adopt more environmental-friendly solutions (not harmful to the environment), therefore the interest on the use of vegetation as a measure to improve slope stability is increasing. The mechanical reinforcement due to roots against shallow landslides occurs when the fibres intersect the shear surface, usually at depths lower than 2 m. In the literature, the presence of roots is often taken into account by modelling the soil as an equivalent composite material: \u2018the root-permeated soil\u2019, by including an additional cohesion term in the Mohr-Coulomb equation. The models used to estimate the root additional cohesion are presented in the first part of the paper. In some cases, root cohesion is calculated based on the resistant properties of the fibres and assuming an order for the progressive roots failure, either breaking, slipping out or buckling. On the other hand, some authors used structural models of the roots investigating not only the stresses in the roots, but also in the surrounding soil to obtain a better estimation of the root cohesion. In the second part of the paper, the calculation of the root reinforcement is used to assess the safety factor (SF) of the slope. Both Limit Equilibrium analyses (LE) and Finite Element Methods (FEM) are discussed, stressing the limitations of both the approaches.", "keywords": ["Root mechanical reinforcement", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Root cohesion", "Slope stability", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "Shallow landslides", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/697661/1/10.1007%252F978-3-319-53498-5_74.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-53498-5"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-53498-5_74"}, {"href": "https://doi.org/10.1007/978-3-319-53498-5_74"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-319-53498-5_74", "name": "item", "description": "10.1007/978-3-319-53498-5_74", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-319-53498-5_74"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2022.107907", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:15:39Z", "type": "Journal Article", "created": "2022-02-12", "title": "Land conversion from annual to perennial crops: A win-win strategy for biomass yield and soil organic carbon and total nitrogen sequestration", "description": "<p>How much can we increase biomass yield by promoting land conversion from annual to perennial crops? Will increased biomass extraction for biorefineries reduce soil organic carbon (SOC) and total nitrogen (TN) stock? Which cropping system is more stable for biomass production over time? To our knowledge, no study has concurrently investigated the effects of land conversion from annual to perennial crops on biomass yield, yield stability, and changes in SOC and TN stock, which limits the understanding and application of sustainable agroecosystems producing biomass for biorefineries. Based on five-year continuous observations in central Jutland Denmark, our results showed that perennial crops significantly increased biomass yield by 19% and yield stability by 88% compared to annual crops. Perennial crops significantly increased SOC content by 4% and SOC stock by 11% at 0\u2013100 cm depth across the five years. The opposite responses of SOC content and stock under annual and perennial crops led to even more significant differences between the crop types. Perennial crops had no effect on soil TN content and increased soil TN stock to one meter depth by 22%, whereas continuous annual crops had no effect on it. Neither annual nor perennial crops had effects on SOC and TN stock when estimated based on equivalent soil mass because the soil density increased under perennial crops. Our results showed that changes in SOC and TN stock between annual and perennial crops varied with the specific calculating methods (fixed depth/equivalent mass), thus the selected methods should be clearly defined in the future research. Increases in SOC content at one meter depth were positively correlated with biomass yield and yield stability, suggesting a win-win strategy for climate mitigation and food security. Altogether, our results highlight the potential to redesign the current cropping system for sustainable intensification by selecting proper perennial crops for green biorefineries.</p>", "keywords": ["2. Zero hunger", "Yield stability", "Sustainable agroecosystem", "13. Climate action", "Annual crop", "Biomass yield", "0401 agriculture", " forestry", " and fisheries", "Perennial crop", "04 agricultural and veterinary sciences", "15. Life on land", "Soil organic carbon and total nitrogen stock"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2022.107907"}, {"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.2022.107907", "name": "item", "description": "10.1016/j.agee.2022.107907", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2022.107907"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2017.08.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:05Z", "type": "Journal Article", "created": "2017-11-27", "title": "Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters", "description": "Open Access\u0625\u0646 \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a \u0639\u0644\u0649 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0645\u0641\u0647\u0648\u0645 \u062c\u064a\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a\u060c \u0644\u0643\u0646 \u0627\u0644\u0627\u0631\u062a\u0642\u0627\u0621 \u0625\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647 \u0644\u0627 \u064a\u0632\u0627\u0644 \u064a\u0645\u062b\u0644 \u062a\u062d\u062f\u064a\u064b\u0627\u060c \u0648\u064a\u0631\u062c\u0639 \u0630\u0644\u0643 \u062c\u0632\u0626\u064a\u064b\u0627 \u0625\u0644\u0649 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\u0644\u0643\u0646 \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 \u0644\u0644\u0628\u0646 \u0643\u0627\u0646\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629 \u0644\u0644\u063a\u0627\u064a\u0629\u060c \u0644\u0623\u0646 \u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0643\u0627\u0646\u062a \u0645\u0646\u062e\u0641\u0636\u0629 \u0639\u0644\u0649 \u0639\u0645\u0642 1.5 \u0645\u062a\u0631. \u0643\u0627\u0646 \u0644\u0646\u0642\u0644 \u0627\u0644\u062a\u0631\u0628\u0629 \u062a\u0623\u062b\u064a\u0631 \u0645\u062d\u062f\u0648\u062f \u0639\u0644\u0649 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0633\u0627\u0626\u0628\u0629 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a. \u0644\u0645 \u064a\u0643\u0646 \u0644\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0623\u064a \u062a\u0623\u062b\u064a\u0631 \u0643\u0628\u064a\u0631 \u0639\u0644\u0649 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0643\u0627\u0629. \u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u0627\u0633\u062a\u062c\u0627\u0628\u062a LAPSUS_LS \u0628\u0634\u0643\u0644 \u062c\u064a\u062f \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u062f\u062e\u0644\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u060c \u0648\u0647\u064a \u0645\u0631\u0634\u062d \u0645\u0646\u0627\u0633\u0628 \u0644\u0646\u0645\u0630\u062c\u0629 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u0629 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647.", "keywords": ["Cohesion (chemistry)", "http://aims.fao.org/aos/agrovoc/c_27199", "http://aims.fao.org/aos/agrovoc/c_4915", "F08 - Syst\u00e8mes et modes de culture", "[SDV]Life Sciences [q-bio]", "culture associ\u00e9e", "http://aims.fao.org/aos/agrovoc/c_1920", "FOS: Mechanical engineering", "Organic chemistry", "Plant Science", "02 engineering and technology", "Erythrina poeppigiana", "01 natural sciences", "630", "Mechanical Effects of Plant Roots on Slope Stability", "stabilisation du sol", "Agricultural and Biological Sciences", "Soil", "monoculture", "Engineering", "enracinement", "couverture du sol", "m\u00e9thode statistique", "Pathology", "Monoculture", "http://aims.fao.org/aos/agrovoc/c_1721", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_24199", "http://aims.fao.org/aos/agrovoc/c_35927", "U10 - Informatique", " math\u00e9matiques et statistiques", "Susceptibility Mapping", "Life Sciences", "Hydrology (agriculture)", "Geology", "Coffea arabica", "[SDV] Life Sciences [q-bio]", "Chemistry", "Landslide", "Plant Responses to Flooding Stress", "Slope Stability", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_6649", "Medicine", "Vegetation (pathology)", "http://aims.fao.org/aos/agrovoc/c_7377", "http://aims.fao.org/aos/agrovoc/c_7171", "0207 environmental engineering", "Soil Science", "Management", " Monitoring", " Policy and Law", "Transmissivity", "Environmental science", "mod\u00e8le math\u00e9matique", "FOS: Mathematics", "http://aims.fao.org/aos/agrovoc/c_12676", "http://aims.fao.org/aos/agrovoc/c_37897", "Landslide Hazards and Risk Assessment", "pratique culturale", "Biology", "0105 earth and related environmental sciences", "P36 - \u00c9rosion", " conservation et r\u00e9cup\u00e9ration des sols", "Soil science", "montagne", "Mechanical Engineering", "Slope stability", "Modeling", "Botany", "FOS: Earth and related environmental sciences", "15. Life on land", "Roots", "Bulk density", "Agronomy", "Geotechnical engineering", "13. Climate action", "Environmental Science", "Cohesion", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoleng.2017.08.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2017.08.010", "name": "item", "description": "10.1016/j.ecoleng.2017.08.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2017.08.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2017.02.006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:08Z", "type": "Journal Article", "created": "2017-03-06", "title": "Long-Term P And K Fertilisation Strategies And Balances Affect Soil Availability Indices, Crop Yield Depression Risk And N Use", "description": "The last century has seen a large increase of fertiliser use, along with a subsequent rise of crop productivity. However, in many places its intensive use has become a burden to the environment, and legislation has been introduced to restrict nutrient applications. In combination with changing production scenarios as a result of climate change, this means an improved understanding is needed of how low nutrient availability and climatic stress factors affect yields and yield stability.We examined the long-term effects mineral and organic fertilisation on a nutrient-depleted field, and observed large annual variations: depending on the year, average spring barley yields under unfertilised management (U) were between 17-75% lower than the reference N1/2P1/2K1/2 (60-10-60 kg ha(-1)). Yields increased up to 174% under N1P1K1 (120-20-120 kg ha(-1)), while animal manure applications at an N availability level corresponding to N-1 were between 79 and 137%. No temporal yield trends could be observed, but long-term changes of Olsen-P and exchangeable K were related to the nutrient balances (inputs-offtake) (r(2) = 0.60 and 0.59, respectively, P < 0.001).Multiple linear regression analysis was used to examine the effects of the treatments in combination with annual weather variations. The results could be split into two outcomes, 1) a general relation between yields and temperatures for the periods of early spring (P < 0.01, multiple R-2 = 0.31) and summer (P < 0.001, multiple R-2 =0.45), and 2) an interaction between temperature and nutrient applications during crop establishment, leading to a diverse response of relative yields (P < 0.001 multiple R-2 =0.64), i.e. relative yield losses under the unfertilised treatment (U) were greater in years with lower spring temperatures, and, conversely, the increased nutrient availability in the fully mineral and organically fertilised treatments could partially alleviate the negative effects.After 13 years of repeated fertilisation, inputs were suspended for a single year and only N was applied to evaluate the residual effects. Yields were significantly affected by the different fertilisation histories (P < 0.001). Likewise, apparent nitrogen recovery tended to improve with previous inputs, but the observations were highly variable.Overall, the analyses agree with the notion that brief periods of stress at a critical stage may significantly affect yields, and confirmed that management of sufficient nutrient availability is critical for maintaining high and stable yields. (C) 2017 Elsevier B.V. All rights reserved.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Manure Application", "Yield stability", "550", "Temperature", "Nitrogen Use Efficiency", "Phosphorus", "Partial nutrient balance", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Mediterranean Conditions", "6. Clean water", "Loamy Sand", "Field Experiments", "13. Climate action", "Potassium", "Nutrient use efficiency", "Responses", "Nutrient deficiency", "0401 agriculture", " forestry", " and fisheries", "Winter-Wheat"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2017.02.006"}, {"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.2017.02.006", "name": "item", "description": "10.1016/j.eja.2017.02.006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2017.02.006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.11200024", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-04T16:22:39Z", "type": "Dataset", "title": "Segmentation of particulate organic matter in X-ray Computed Tomography images of soil aggregates with deep convolutional networks", "description": "unspecifiedThis is a dataset that accompanies the paper entitled \u2018Segmentation of particulate organic matter in X-ray Computed Tomography images of soil aggregates with deep convolutional networks\u2019 by Oliveira, A.B., Bordonal, R.O., Peixinho, A.Z., Carvalho, J.L.N., Ferreira, T.R. The files will be publicly accessible when the paper is published.", "keywords": ["Soil carbon stability", "Image processing", "Interactive machine learning", "Deep learning", "Synchrotron"], "contacts": [{"organization": "Oliveira, Aline, Bordonal, Ricardo, Peixinho, Alan, Carvalho, Jo\u00e3o Luis, Ferreira, Talita,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11200024"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11200024", "name": "item", "description": "10.5281/zenodo.11200024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11200024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.17524296", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-04T16:23:41Z", "type": "Dataset", "title": "Soil organic carbon increases cereal yield stability regardless of tillage intensity", "keywords": ["soil organic carbon", "meta-analysis", "yield stability", "no-till", "conservation agriculture", "climate change"], "contacts": [{"organization": "Campos C\u00e1liz, Ana", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17524296"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17524296", "name": "item", "description": "10.5281/zenodo.17524296", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17524296"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-11-04T00:00:00Z"}}, {"id": "10.5281/zenodo.3748350", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:48Z", "type": "Dataset", "title": "Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)", "description": "Open Access<strong>Agricultural land resources \u2013 a global suitability evaluation</strong> <em>An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change.</em> <strong>Determining Agricultural Suitability</strong> Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied: Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop\u2019s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature. <strong>Agricultural Suitability</strong> General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Suitability Change due to Climate until 2100</strong> Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec. <strong>Multiple Cropping</strong> Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Growing Cycle</strong> Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). <strong>Further information</strong> Detailled information are available in the following publication:<br> Zabel F., Putzenlechner B., Mauser W. (2014): <strong>Global agricultural land resources \u2013 a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. </strong> Online available: PLOS ONE. DOI: 10.1371/journal.pone.0107522 <strong>Improvements in v2.0</strong> Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data. <strong>Contact</strong> Please contact: Dr. Florian Zabel, f.zabel@lmu.de, Department f\u00fcr Geographie, LMU M\u00fcnchen (www.geografie.uni-muenchen.de)", "keywords": ["Climate Change", "Agriculture", "Global", "Suitability"], "contacts": [{"organization": "Zabel, Florian, Putzenlechner, Birgitta, Mauser, Wolfram,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3748350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3748350", "name": "item", "description": "10.5281/zenodo.3748350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3748350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-17T00:00:00Z"}}, {"id": "10.5281/zenodo.5982577", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:23:54Z", "type": "Dataset", "title": "Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v3.0)", "description": "<strong>Agricultural land resources \u2013 a global suitability evaluation (v3.0)</strong> Local climate, soil and topography determine the conditions under which agricultural crops are suitable for growth or not. The methodology uses a fuzzy logic approach that is described in Zabel et al. (2014). The approach is based on Liebig's law of the minimum. Accordingly, plant suitability is determined not by total available resources, but by the scarcest resource. The limiting factor depends on the local environmental conditions and the crop-specific requirements, that are taken from literature. <strong>Determining Agricultural Suitability</strong> Agricultural suitability is calculated for each of 5 climate models (GFDL, HadGEM2, IPSL, MIROC and NorESM1) from the AR5 ISIMIP fast track protocol. Daily climate model data for temperature, precipitation and solar radiation are statistically downscaled to 30 arc seconds spatial resolution. A monthly bias-correction is applied using WorldClim data. The provided suitability data refers to the model median over the 5 climate simulations. Soil data is taken from the Harmonized World Soil Database (HWSD) v1.21. Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Soil depth is taken into account according to Pelletier et al. (2015). Topography data is applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the suitability of crops and is considered in this approach. <strong>Agricultural Suitability</strong> The agricultural suitability data is provided at a spatial resolution of 30 arc seconds (approximately 1 km<sup>2</sup> at the equator). The dataset contains four time periods (1980-2009, 2010-2039, 2040-2069, 2070-2099) and two climate change scenarios (RCP2.6 and RCP 8.5). Agricultural suitability is provided for rainfed conditions and for irrigated conditions seperately. Additionally, we provide a dataset in which the current irrigation areas according to Maier et al. (2018) are applied. The suitability is provided for 23 food, feed, fibre, and 1st and 2nd generation bio-energy crops. An 'overall suitability' is provided for all crops that considers the most suitable crop on each pixel. Additionally, we provide a dataset excluding 2nd generation bioenergy crops (18-23) from the overall aggregation of crops. <strong>Food, feed, fiber and first-generation bioenergy crops</strong> Barley Potato Sugarbeet Cassava Rapeseed Sugarcane Groundnut Rice Sunflower Maize Rye Summer wheat Millet Sorghum Winter wheat Oilpalm Soybean <strong>Second-generation bioenergy crops</strong> Jatropha Reed canary grass Miscanthus Eucalyptus Switchgrass Willow <strong>Growing Season Adaptation</strong> The agricultural suitability considers the adaptation of the growing season. For each pixel and crop, the growing season is optimized throughout the year, taking the annual course of precipitation, temperature, and solar radiation as well as their interplay, into account. <strong>Most Suitable Crop</strong> The most suitable crop for each pixel is provided in the data. Please note that a value of 126 means that no crop suitable and 127 means that multiple crops have the same suitability. <strong>Further information</strong> Detailled information are available in the following publications: Zabel F, Putzenlechner B, Mauser W (2014) Global Agricultural Land Resources \u2013 A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions. PLOS ONE 9(9): e107522. doi: 10.1371/journal.pone.0107522 Cronin, J., Zabel, F., Dessens, O., Anandarajah, G. (2020): Land suitability for energy crops under scenarios of climate change and land-use. GCB Bioenergy, 12(8). doi: 10.1111/gcbb.12697 Schneider. J.M., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies. Scientific Data 9, 527. doi: 10.1038/s41597-022-01632-8 Meier, J., Zabel, F., Mauser, W. (2018): A global approach to estimate irrigated areas \u2013 a comparison between different data and statistics. Hydrol. Earth Syst. Sci., 22, 1119\u20131133, 2018. doi: 10.5194/hess-22-1119-201 Pelletier, J. D., Broxton, P. D., Hazenberg, P., Zeng, X., Troch, P. A., Niu, G.-Y., Williams, Z., Brunke, M. A., and Gochis, D. (2016), A gridded global data set of soil, immobile regolith, and sedimentary deposit thicknesses for regional and global land surface modeling, <em>J. Adv. Model. Earth Syst.</em>, 8, 41\u2013 65, doi: 10.1002/2015MS000526. <strong>Improvements in v3.0</strong> Compared to the previous version (v2.0), this version (v3.0) <em>uses updated input data for soil (HWSD v1.21) and high resolution irrigated areas (Maier et al. 2018), and additionally considers soil depth (Pelletier et al. 2016). Moreover, the suitability is calculated for an ensemble of 5 climate models, and is available for more crops, including a number of second generation bioenergy crops.</em> <strong>Contact</strong> Please contact: Dr. Florian Zabel, f.zabel@lmu.de, Department of Geography, LMU M\u00fcnchen (www.geografie.uni-muenchen.de)", "keywords": ["2. Zero hunger", "13. Climate action", "Climate Change", "Agriculture", "Global", "15. Life on land", "Suitability", "7. Clean energy", "6. Clean water"], "contacts": [{"organization": "Zabel, Florian", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5982577"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5982577", "name": "item", "description": "10.5281/zenodo.5982577", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5982577"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-06T00:00:00Z"}}, {"id": "10.5281/zenodo.7777673", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:24:08Z", "type": "Software", "title": "HiLSS Project", "description": "The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '<em>Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. - Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)</em>'. <strong>List of files included in <em>HLC_RUSLE.zip</em>:</strong> <em>R_script_code named 'HLC_RUSLE' in .rmd format</em> <em>Output folder: </em> <em>Figures folder: .png products of the R script code</em> <em>Rasters folder: .png products of the R script code</em> <em>Tables folder: .pdf products of the R script code</em> <em>GeoTiff folder (.TIFF file format): Regional RUSLE Data</em> <em>GPKG:</em> <em>HLC </em>dataset and <em>Region Of Interest file in .gpkg format.</em>", "keywords": ["13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Filippo, Brandolini", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7777673"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7777673", "name": "item", "description": "10.5281/zenodo.7777673", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7777673"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10451/51015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:25:16Z", "type": "Journal Article", "created": "2021-11-19", "title": "Women\u2019s Empowerment, Research, and Management: Their Contribution to Social Sustainability", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This article enhances some ideas and opinions related with the challenges that women across the world face nowadays to pursue a professional career. The route they take has frequent obstacles of a distinct nature, which are not always comparable with those faced by men. The starting point of this work is the conclusions of the workshop \u201cWomen empowerment and gender equality, responsible research and innovation\u201d\u2014Research Project \u201cSOILdarity\u201d. This workshop revealed a diversified view about the subject, evidencing its connection with the social sustainability, with a special focus on academia and research management. This document introduces the topic in the context of the workshop, revises key aspects of women\u2019s empowerment in a society still dominated by men\u2019s opinions and organization (gender balance, obstacles and strategies), highlights the situation of women in academia and in research management, and gives the authors\u2019 opinions about some questions related to gender and equality. We conclude that all societal actors must acknowledge women as key actors in contributing to social sustainability, working together towards creating an environment where they can have leadership roles.</p></article>", "keywords": ["0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "non-paid work", "5. Gender equality", "gender and social perception", "women", "family and academia", "research management", "women; gender and social perception; social sustainability; research management; family and academia; non-paid work", "social sustainability", "12. Responsible consumption"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/60001/1/Ventura%20et%20al%202021.pdf"}, {"href": "https://repositorio.ulisboa.pt/bitstream/10451/51097/1/sustainability-13-12754.pdf"}, {"href": "https://repositorio.ulisboa.pt/bitstream/10451/51015/1/sustainability%20Women%20copy%202.pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/22/12754/pdf"}, {"href": "https://doi.org/10451/51015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10451/51015", "name": "item", "description": "10451/51015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10451/51015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-18T00:00:00Z"}}, {"id": "1893/33794", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-04T16:25:43Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract<p>Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.</p", "keywords": ["0106 biological sciences", "Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil", "791", "550", ":Zoology and botany: 480 [VDP]", "VDP::Zoologiske og botaniske fag: 480", "551", "Q1", "7. Clean energy", "01 natural sciences", "41 Environmental sciences", "Global map", "SDG 13 - Climate Action", "Soil temperature", "MICROCLIMATE", "bepress|Physical Sciences and Mathematics|Environmental Sciences", "soil-dwelling organism", "bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "weather station", "GB", "http://aims.fao.org/aos/agrovoc/c_34836", "Geology", "16. Peace & justice", "Settore BIOS-01/C - Botanica ambientale e applicata", "6. Clean water", "Near-surface soil temperature", "international", "[SDE]Environmental Sciences", "551: Geologie und Hydrologie", "Near-surface temperature", "Near-surface temperatures", "soil temperature", "P40 - M\u00e9t\u00e9orologie et climatologie", "577", "bepress|Physical Sciences and Mathematics|Earth Sciences", "MITIGATION", "bepress|Life Sciences|Ecology and Evolutionary Biology", "12. Responsible consumption", "near-surface temperatures", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate", "bioclimatic variables", "Bioclimatic variables", "Settore BIO/07 - ECOLOGIA", "temperature offset", "global maps", "http://aims.fao.org/aos/agrovoc/c_1344", "577: \u00d6kologie", "global map", "Biology", "Ecosystem", "Ekologi", "http://aims.fao.org/aos/agrovoc/c_24894", "Science & Technology", "ddc:550", "9. Industry and infrastructure", "31 Biological sciences", "Biology and Life Sciences", "Microclimate", "06 Biological Sciences", "15. Life on land", "weather stations", "bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring", "900", "cartographie", "microclimate", "Klimatvetenskap", "[SDE] Environmental Sciences", "Biodiversity & Conservation", "05 Environmental Sciences", "Weather stations", "Temperature offset", "Plan_S-Compliant-OA", "Soil", "bepress|Life Sciences", "Geolog\u00eda", "Research Articles", "info:eu-repo/classification/ddc/570", "changement climatique", "Ecology", "zone climatique", "4. Education", "Temperature", "Biological Sciences", "bioclimatologie", "FOREST", "Weather station", "Chemistry", "Biodiversity Conservation", "Life Sciences & Biomedicine", "bepress|Physical Sciences and Mathematics", "Technology and Engineering", "http://aims.fao.org/aos/agrovoc/c_1669", "bioclimatic variable", "Climate Change", "soil-dwelling organisms", "Environmental Sciences & Ecology", "MOISTURE", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperature", "temp\u00e9rature du sol", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology", "SUITABILITY", "G1", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "Global maps", "http://aims.fao.org/aos/agrovoc/c_1666", ":Zoologiske og botaniske fag: 480 [VDP]", "Soil-dwelling organisms", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "r\u00e9chauffement global", "Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "http://aims.fao.org/aos/agrovoc/c_9260", "P30 - Sciences et am\u00e9nagement du sol", "Aquatic Ecology", "Bioclimatic variable", "SNOW-COVER", "Climate Science", "37 Earth sciences", "Climate Action", "bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Earth sciences", "variation saisonni\u00e8re", "PLANT-RESPONSES", "CLIMATIC CONTROLS", "Soil-dwelling organism", "Settore BIOS-05/A - Ecologia", "13. Climate action", "Earth and Environmental Sciences", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Zoology and botany: 480", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "CBCE", "http://aims.fao.org/aos/agrovoc/c_7197", "Environmental Sciences"]}, "links": [{"href": "https://ray.yorksj.ac.uk/id/eprint/5803/1/20211222_SoilTemp_maps_preformatted.pdf"}, {"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://eprints.whiterose.ac.uk/183991/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://ricerca.univaq.it/bitstream/11697/178559/2/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://vb.gamtc.lt/object/elaba:126634244/126634244.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16060"}, {"href": "https://escholarship.org/content/qt6hg3313z/qt6hg3313z.pdf"}, {"href": "https://doi.org/1893/33794"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1893/33794", "name": "item", "description": "1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-21T00:00:00Z"}}, {"id": "2164/16366", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:26:08Z", "type": "Journal Article", "created": "2020-05-04", "title": "The influence of nutrient management on soil organic carbon storage, crop production, and yield stability varies under different climates", "description": "Abstract   Our understanding on how soil organic carbon (SOC) storage, crop yield, and yield stability are influenced by climate is limited. To critically examine this, the impact of long-term (\u226510 years) application of nutrient management practices on SOC storage, crop productivity, and yield stability were evaluated under different climatic conditions in China using a meta-analysis approach. The cropping area of China was divided into four distinct groups based on local climatic conditions (warm dry, DW; warm moist, WM; cool dry, CD; cool moist, CM). Results indicated that the impact of nutrient management practices on SOC storage, crop yield, and yield stability varies under different climatic zone in China. The use of unbalanced mineral fertilizer (UMF), and balanced mineral fertilizer (BMF) led to a loss in SOC storage by 6%, and 11% under CM climatic zone and gains in DW, WM, and CD climates. Organic fertilizers (OF), combined unbalanced mineral and organic fertilizers (UMOF), and combined balanced mineral and organic fertilizers (BMOF) were able to sustain and enhance SOC storage under all climatic conditions. However, the largest increase in SOC storage across all climates was seen for BMOF. Further, corresponding values of crop productivity and yield stability were also highest for BMOF among all the nutrient management treatments. A linear-plateau model indicated that maximal yield responsive SOC stock (Copt) levels ranged from 33.43 to 45.51\u00a0Mg\u00a0C ha\u22121 for rice (Oryza sativa), maize (Zea mays), and wheat (Triticum aestivum) production. To enhance and sustain SOC storage, and crop productivity of croplands under different climates, BMOF appears to be the most appropriate nutrient management strategy. Our findings demonstrate that it is essential to optimize nutrient management strategies according to the local climate to protect soil from SOC losses, and for achieving sustainable crop production.", "keywords": ["Yield stability", "AGRICULTURE", "550", "INCREASES", "Supplementary Data", "QH301 Biology", "Strategy and Management", "SEQUESTRATION", "CHINA", "Industrial and Manufacturing Engineering", "630", "12. Responsible consumption", "QH301", "Critical level", "SDG 13 - Climate Action", "Climate change", "SDG 7 - Affordable and Clean Energy", "Renewable Energy", "SDG 2 - Zero Hunger", "General Environmental Science", "2. Zero hunger", "Sustainability and the Environment", "Crop yields", "Soil organic carbon", "PADDY FIELDS", "Nutrient management", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "NITROGEN", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "STRAW", "LONG-TERM FERTILIZATION", "MATTER"]}, "links": [{"href": "https://doi.org/2164/16366"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/16366", "name": "item", "description": "2164/16366", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/16366"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "type": "Feature", "geometry": null, "properties": {"license": "Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0)", "updated": "2026-04-04T16:27:27Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "name": "item", "description": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "oai:zbmath.org:6366617", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-04T16:34:18Z", "type": "Report", "title": "New absolute stability criteria for time-delay Lur'e systems with sector-bounded nonlinearity", "description": "Summary: This paper is concerned with the problem of absolute stability of time-delay Lur'e systems with sector-bounded nonlinearity. Several novel criteria are presented by using a Lur'e-Postnikov function. For a general Lur'e system with known time delay, the absolute stability of it is analyzed by solving a set of linear matrix inequalities (LMIs). The maximum upper bound of the allowable time delay for a general Lur'e system is derived by solving a convex optimization problem. 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