{"type": "FeatureCollection", "features": [{"id": "10.3897/arphapreprints.e155078", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:21:38Z", "type": "Report", "created": "2025-04-08", "title": "Species inventory and morphological traits of spiders (Arachnida, Araneae) and ants (Insecta, Hymenoptera, Formicidae) in northern Ghana", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Agricultural expansion, a leading driver of biodiversity loss, has widespread effects on ecosystem services, particularly in tropical regions. In West Africa, the impact of intensified agriculture on local biodiversity \u2013 especially predator and decomposer species like spiders and ants \u2013 is understudied. This study in northern Ghana examines the species diversity and functional traits of spiders and ants in human-transformed mango orchards and pristine savanna, aiming to compare the biodiversity of intensively managed agroecosystems and the extensively managed natural habitats. Insights will aid in estimating the effort needed to promote diversity through agroecological practices in mango orchards.</p>         <p>In this data paper, we publish the baseline checklist and morphological traits of spiders (Araneae) and ants (Hymenoptera: Formicidae) associated with mango orchards and forest savannas located in northern Ghana. In total, we collected 64 species (including 29 unidentified morphospecies) of spiders and 64 species (including 24 unidentified morphospecies) of ants. Of these, almost all spider species and nine ant species were new records for Ghana, while many of the morphospecies could potentially be undescribed new species to science. In addition, we collected six morphological traits for spiders: total body length, prosoma length, prosoma width, prosoma height, tibia I (leg) length, and fang length; and four traits for ants: total body length, head length, scape length, and eye distance.</p></article>", "keywords": ["morpholometrics", "standardized sampling", "West Africa", "checklist", "agriculture", "biodiversity", "mango orchard", "West Sudanian savanna"]}, "links": [{"href": "https://doi.org/10.3897/arphapreprints.e155078"}, {"rel": "self", "type": "application/geo+json", "title": "10.3897/arphapreprints.e155078", "name": "item", "description": "10.3897/arphapreprints.e155078", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3897/arphapreprints.e155078"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-08T00:00:00Z"}}, {"id": "10.5061/dryad.6h5v2pv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:21:51Z", "type": "Dataset", "title": "Data from: Long-term recovery of the functional community assembly and carbon pools in an African tropical forest succession", "description": "unspecifiedSupplementary  InformationRaw data underlying the  analyses in the publication.", "keywords": ["carbon stocks", "Congo Basin", "Central Africa", "carbon stocks.", "functional assembly", "15. Life on land", "secondary succession", "long-term recovery"], "contacts": [{"organization": "Bauters, Marijn, Vercleyen, Oscar, Vanlauwe, Bernard, Six, Johan, Bonyoma, Bernard, Badjoko, Henri, Hubau, Wannes, Hoyt, Alison, Boudin, Mathieu, Verbeeck, Hans, Boeckx., Pascal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.6h5v2pv"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.6h5v2pv", "name": "item", "description": "10.5061/dryad.6h5v2pv", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.6h5v2pv"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-04-05T00:00:00Z"}}, {"id": "10.5061/dryad.7d5g4", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-04-28T16:21:51Z", "type": "Dataset", "title": "Data from: Agricultural intensification and the functional capacity of soil microbes on smallholder African farms", "description": "unspecified1. Fertilization may impact ecosystem processes that sustain agriculture,  such as nutrient cycling, by altering the composition of soil microbial  communities that regulate such processes. These processes are crucial to  low-input, smallholder tropical agriculture, which supports 900 million of  the world's poorest people. Yet little is known about how efforts to  increase crop yield on such farms will affect the capacity of soil  microbial communities to carry out ecosystem processes. 2. We studied the  diversity and functional capacity of microbial communities on smallholder  farms in western Kenya. We measured functional capacity as the abundance  of functional genes involved in several components of nutrient cycling as  well as catabolism of multiple carbon substrates; taxonomic diversity was  measured using metagenomic sequencing. Diversity and functional capacity  were measured on short-term, experimental mineral fertilizer addition  plots and on actively managed farms that have maintained for at least  seven years a management strategy of low mineral fertilization, high  mineral fertilization, or high fertilization combined with legume  rotations. 3. Soil bacterial diversity decreased with mineral fertilizer  addition, with a community shift towards taxa that thrive in high-resource  conditions. This taxonomic response did not correspond with decreased  microbial functional capacity. Instead, functional capacity was increased,  along with yields, when fertilizers were combined with legume rotations  that add organic matter to soil. 4. Policy implications. Mineral  fertilizer use is associated with lower soil microbial diversity on  smallholder farms, but not associated with changes in microbial functional  capacity. Functional capacity is highest, along with yields, when mineral  fertilizers are paired with legume rotations. Our findings suggest that  this type of agroforestry can be an important strategy for maintaining the  long-term functional capacity of soil microbes as well as increasing crop  yields on smallholder farms. These observations support proposals to  achieve long-term food production targets in sub-Saharan Africa by  combining mineral fertilizers with organic inputs.", "keywords": ["2. Zero hunger", "microbial diversity", "GeoChip", "15. Life on land", "Smallholder agriculture", "African Green Revolution", "fertilisation"], "contacts": [{"organization": "Wood, Stephen A., Bradford, Mark A., Gilbert, Jack A., McGuire, Krista L., Palm, Cheryl A., Tully, Katherine L., Zhou, Jizhong, Naeem, Shahid,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.7d5g4"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.7d5g4", "name": "item", "description": "10.5061/dryad.7d5g4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.7d5g4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-13T00:00:00Z"}}, {"id": "10.5061/dryad.845kg37", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:21:52Z", "type": "Dataset", "title": "Data from: Resource acquisition strategies facilitate Gilbertiodendron dewevrei monodominance in African lowland forests", "description": "unspecified1. Tropical forests are hyperdiverse, yet extensive areas of monodominant  forest occur in the tropics worldwide. Most long-lived and persistent  monodominant tree species form ectomycorrhizal fungi symbioses, allowing  them to obtain nutrients directly from soil organic matter. This might  promote monodominance by reducing nutrient availability to co-occurring  species, the majority of which form associations with arbuscular  mycorrhizal fungi. 2. Gilbertiodendron dewevrei forest is the most  widespread monodominant forest in tropical Africa. Its distribution  appears determined in part by moisture availability, but its monodominance  is not thought to be driven by its fungal partner or soil fertility. 3.  Here we compare soil fertility of twenty G. dewevrei stands to mixed  forest from three sites across an 8,400 km2 region of the Central African  Republic and the Republic of Congo. In contrast to previous studies, we  find monodominant G. dewevrei stands associated with infertile soils, as  base cations (calcium, magnesium, total exchangeable bases) and  extractable manganese are extremely low, and significantly lower in soils  under G. dewevrei forest compared to mixed forest. Further, and consistent  with ectomycorrhizal forests globally, soil carbon to nitrogen and carbon  to phosphorus ratios are significantly higher in G. dewevrei stands than  in mixed forest stands, providing evidence in support of direct  acquisition of nitrogen and phosphorus from soil organic matter by  ectomycorrhizal fungi. 4. Gilbertiodendron dewevrei recruits from the  seedling bank, with its large seedlings surviving in high densities for  over a decade. We tested whether light plasticity could facilitate  monodominance by growing seedlings of G. dewevrei under controlled light  conditions. We found that its seedlings grow well under a wide range of  irradiance levels and conclude that this plasticity affords a competitive  advantage. 5. Synthesis: We reframe the discussion of factors contributing  to monodominance of G. dewevrei into one of resource acquisition and use  efficiency. In particular, G. dewevrei is associated with moist and  infertile soils and competes well under a variety of light conditions. Our  data is consistent with a model where root associations with  ectomycorrhizal fungi drive monodominance through the direct acquisition  of nutrients from soil organic matter, promoting nutrient limitation of  co-occurring species.", "keywords": ["2. Zero hunger", "C:N and C:P ratios", "Congo Basin", "Central Africa", "ectomycorrhizal fungi", "15. Life on land", "Monodominant tropical forest", "Gilbertiodendron dewevrei"], "contacts": [{"organization": "Hall, Jefferson, Harris, David, Saltonsall, Kristin, Medjibe, Vincent, Ashton, Mark, Turner, Benjamin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.845kg37"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.845kg37", "name": "item", "description": "10.5061/dryad.845kg37", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.845kg37"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-26T00:00:00Z"}}, {"id": "10.5194/essd-13-4349-2021", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:22:13Z", "type": "Journal Article", "created": "2021-09-07", "title": "ERA5-Land: a state-of-the-art global reanalysis dataset for land applications", "description": "<p>Abstract. Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrations of the ECMWF land surface model driven by the downscaled meteorological forcing from the ERA5 climate reanalysis, including an elevation correction for the thermodynamic near-surface state. ERA5-Land shares with ERA5 most of the parameterizations that guarantees the use of the state-of-the-art land surface modelling applied to numerical weather prediction (NWP) models. A main advantage of ERA5-Land compared to ERA5 and the older ERA-Interim is the horizontal resolution, which is enhanced globally to 9\uffe2\uff80\uff89km compared to 31\uffe2\uff80\uff89km (ERA5) or 80\uffe2\uff80\uff89km (ERA-Interim), whereas the temporal resolution is hourly as in ERA5. Evaluation against independent in situ observations and global model or satellite-based reference datasets shows the added value of ERA5-Land in the description of the hydrological cycle, in particular with enhanced soil moisture and lake description, and an overall better agreement of river discharge estimations with available observations. However, ERA5-Land snow depth fields present a mixed performance when compared to those of ERA5, depending on geographical location and altitude. The description of the energy cycle shows comparable results with ERA5. Nevertheless, ERA5-Land reduces the global averaged root mean square error of the skin temperature, taking as reference MODIS data, mainly due to the contribution of coastal points where spatial resolution is important. Since January\uffc2\uffa02020, the ERA5-Land period available has extended from January\uffc2\uffa01981 to the near present, with a 2- to 3-month delay with respect to real time. The segment prior to 1981 is in production, aiming for a release of the whole dataset in summer/autumn\uffc2\uffa02021. The high spatial and temporal resolution of ERA5-Land, its extended period, and the consistency of the fields produced makes it a valuable dataset to support hydrological studies, to initialize NWP and climate models, and to support diverse applications dealing with water resource, land, and environmental management. The full ERA5-Land hourly (Mu\uffc3\uffb1oz-Sabater,\uffc2\uffa02019a) and monthly (Mu\uffc3\uffb1oz-Sabater,\uffc2\uffa02019b) averaged datasets presented in this paper are available through the C3S Climate Data Store at https://doi.org/10.24381/cds.e2161bac and https://doi.org/10.24381/cds.68d2bb30, respectively.                     </p>", "keywords": ["QE1-996.5", "550", "IN-SITU", "LEAF-AREA", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Geology", "OPERATIONAL IMPLEMENTATION", "15. Life on land", "551", "SOIL-MOISTURE", "SURFACE-TEMPERATURE", "01 natural sciences", "LAKE PARAMETERIZATION", "[SDU] Sciences of the Universe [physics]", "Environmental sciences", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "Earth and Environmental Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "SNOW MODELS", "GE1-350", "WEST-AFRICA", "SATELLITE", "NUMERICAL WEATHER PREDICTION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/106796/1/essd-13-4349-2021.pdf"}, {"href": "https://essd.copernicus.org/articles/13/4349/2021/essd-13-4349-2021.pdf"}, {"href": "https://doi.org/10.5194/essd-13-4349-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-13-4349-2021", "name": "item", "description": "10.5194/essd-13-4349-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-13-4349-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-15T00:00:00Z"}}, {"id": "10.60692/00fqh-scr74", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:40Z", "type": "Journal Article", "created": "2022-02-28", "title": "Expansion of olive orchards and their impact on the cultivation and landscape through a case study in the countryside of Cordoba (Spain)", "description": "Open Access\u062a\u0645 \u062a\u0639\u0632\u064a\u0632 \u0627\u0633\u062a\u062f\u0627\u0645\u0629 \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u062a\u0634\u0631\u064a\u0639\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629\u060c \u0648\u0644\u0643\u0646 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0646\u0641\u0633\u0647 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\u0627\u0644\u062a\u0648\u0627\u0644\u064a)\u060c \u0645\u062c\u0632\u0623\u0629 \u0628\u0634\u0643\u0644 \u0631\u0626\u064a\u0633\u064a. \u0645\u0646 \u0639\u0646\u0627\u0635\u0631 \u0627\u0644\u0645\u0646\u0627\u0638\u0631 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0627\u0644\u0645\u0636\u0644\u0639\u0629 \u0647\u0630\u0647\u060c \u0644\u0627 \u064a\u0632\u0627\u0644 \u062c\u0632\u0621 \u0643\u0628\u064a\u0631 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0648\u0627\u0644\u0623\u062e\u0627\u062f\u064a\u062f \u0648\u0628\u0646\u0648\u0643 \u0627\u0644\u0645\u064a\u0627\u0647 \u0648\u0627\u0644\u0634\u0631\u0627\u0626\u0637/\u0627\u0644\u0623\u0648\u062c\u0647 \u063a\u064a\u0631 \u0627\u0644\u0645\u0646\u062a\u062c\u0629) \u063a\u064a\u0631 \u0646\u0628\u0627\u062a\u064a (57 \u066a). \u0644\u0630\u0644\u0643\u060c \u064a\u062c\u0628 \u0627\u0644\u0646\u0638\u0631 \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u0639\u0646\u0627\u0635\u0631 \u0641\u064a \u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10.60692/00fqh-scr74"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/00fqh-scr74", "name": "item", "description": "10.60692/00fqh-scr74", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/00fqh-scr74"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.5281/zenodo.4090927", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:23:46Z", "type": "Dataset", "title": "iSDAsoil: soil organic carbon for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths", "description": "Open AccessiSDA is a social enterprise with the mission to improve smallholder farmer profitability across Africa. iSDA builds on the legacy of the African Soils information service (AfSIS) project. We are grateful for the outputs generated by all former AfSIS project partners: Columbia University, Rothamsted Research, World Agroforestry (ICRAF), Quantitative Engineering Design (QED), ISRIC \u2014 World Soil Information, International Institute of Tropical Agriculture (IITA), Ethiopia Soil Information Service (EthioSIS), Ghana Soil Information Service (GhaSIS), Nigeria Soil Information Service (NiSIS) and Tanzania Soil Information Service (TanSIS). More details on AfSIS partners and data contributors can be found at https://isda-africa.com/isdasoil", "keywords": ["2. Zero hunger", "iSDA", "13. Climate action", "organic carbon", "Africa", "15. Life on land", "soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4090927"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4090927", "name": "item", "description": "10.5281/zenodo.4090927", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4090927"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-15T00:00:00Z"}}, {"id": "10.5281/zenodo.6984680", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:23:58Z", "type": "Dataset", "title": "Radiocarbon and soil properties along the Kalahari moisture gradient in Botswana", "description": "Open Access{'references': ['Dintwe et al. (2015) Soil organic C and total N pools in the Kalahari: potential impacts of climate change on C sequestration in savannas, Plant Soil, 396_27-44, doi: 0.1007/s11104-014-2292-5.']}", "keywords": ["2. Zero hunger", "13. Climate action", "radiocarbon; africa; savanna; soil; carbon", "15. Life on land"], "contacts": [{"organization": "Dintwe, Kebonye, Okin, Gregory S., O'Donell, Frances, Bhattachan, Abinash, Tatlhego, Mokganedi, Mladenov, Tanja, Handorean, Alina, Caylor, Kelly K., D'Odorico, Paolo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6984680"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6984680", "name": "item", "description": "10.5281/zenodo.6984680", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6984680"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-12T00:00:00Z"}}, {"id": "10.7910/DVN/XC7UPO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:55Z", "type": "Dataset", "created": "2016-01-01", "title": "A database for multi-dimensional effects of tropical forage technologies in Sub-Saharan Africa", "description": "Small-scale livestock productivity in Sub-Saharan Africa (SSA) has been limited mainly by the lack of adequate quality feeds. This database contains data on effects of tropical forage technologies from 72 pre-selected experimental studies from across SSA. The experimental studies were selected and compiled following a well-defined systematic literature search of peer-reviewed articles in Scopus conducted in June 2016. The systematic search of studies was complemented with references cited in the primary literature including unpublished studies from the authors\u2019 personal networks. The database contains data from four technology clusters (improved feed regime, improved germplasm, improvement management, improved cropping system integration), and includes effects on quality and quantity of forage, livestock productivity, soil quality, economic performance, and food crop productivity.", "keywords": ["integrated crop-livestock systems", "sistemas pecuarios", "HERBACEOUS PLANTS", "CROPPING SYSTEMS", "MULTI-DIMENSIONAL IMPACTS", "SOIL ORGANIC CARBON", "feed grasses", "herbaceous plants", "HERBACEOUS LEGUME", "livestock productivity", "FORAGE", "CROP-LIVESTOCK SYSTEMS", "LIVESTOCK PRODUCTIVITY", "FORAGE AGRONOMY", "FORAGE GRASS", "2. Zero hunger", "FEED GRASSES", "Crops for Nutrition and Health", "agronomy", "Agricultural Sciences", "forage grass", "sustainable intensification", "agricultural productivity", "livestock systems", "cropping systems", "15. Life on land", "SUSTAINABLE INTENSIFICATION", "AGRICULTURAL PRODUCTIVITY", "soil organic carbon", "multi-dimensional impacts", "plantas herb\u00e1ceas", "Earth and Environmental Sciences", "forage agronomy", "LIVESTOCK SYSTEMS", "Africa", "sistemas integrados de producci\u00f3n agropecuaria", "CGIAR Research Program on Livestock", "crop-livestock systems", "herbaceous legume", "AGRONOMY", "INTEGRATED CROP-LIVESTOCK SYSTEMS"], "contacts": [{"organization": "Paul, Birthe, Koge, Jessica, Nderi, Alex N., Maass, Brigitte L., Notenbaert, An Maria Omer, Groot, Jeroen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XC7UPO"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XC7UPO", "name": "item", "description": "10.7910/DVN/XC7UPO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XC7UPO"}, {"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": "10.7160/aol.2021.130404", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:51Z", "type": "Journal Article", "created": "2021-12-16", "title": "INSPIRE Hackathons and SmartAfriHub \u2013 Roadmap for Addressing the Agriculture Data Challenges in Africa", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Digital farming holds enormous potential for agricultural development, and giving farmers the tools to boost productivity and profitability. Although the benefits of digitalization are numerous, farmers feel they are not the ones benefiting from the value of data collected on their farms. Several issues were identified as factors restricting farmers from benefiting from data-driven agriculture. From the farmers\u2019 perspective, there is a distinct lack of awareness of the issues surrounding farm data, and the complexity of these issues. This feeds into the imbalance that exists between individual farmers and larger agribusinesses wherein the former lack enough resources to address and analyse the significance of data, and so cannot take advantage of the value in it. There is also limited legislation for the generation, flow, exchange and use of data; where legislation does exist, it is not well understood by farmer organisations. From a policy perspective, moreover, there is very little guidance as to which agricultural data can be considered personal data, and therefore protected by privacy laws. This paper analyses the interactions and effects of the 5 Concepts: Open Agricultural Data, Open-Source Software, Citizen Science, privacy and legal and ethical issues that are assumed to advance the digitalization of African Food System (AFS and the enabling Digital Innovation Hub (DIH) - SmartAfriHub (https://www.smartafrihub.com/home).</p></article>", "keywords": ["2. Zero hunger", "Research and Development/Tech Change/Emerging Technologies", "Citizen Science", "Agricultural and Food Policy", "Open Data", "Africa Smart Agriculture", "1. No poverty", "15. Life on land", "Open-Source Software"]}, "links": [{"href": "https://doi.org/10.7160/aol.2021.130404"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agris%20on-line%20Papers%20in%20Economics%20and%20Informatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7160/aol.2021.130404", "name": "item", "description": "10.7160/aol.2021.130404", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7160/aol.2021.130404"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-30T00:00:00Z"}}, {"id": "10.7910/DVN/HYFICT", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:54Z", "type": "Dataset", "title": "Replication Data for: Global Sequestration Potential of Increased Organic Carbon in Cropland Soils", "description": "These datasets were developed as part of an analysis of the carbon sequestration potential of increasing soil organic carbon on croplands in the top 30cm of soil. The analysis estimates the carbon sequestration in tons per hectare after 20 years under improved management, with both a \u201cmedium\u201d and a \u201chigh\u201d scenario on the model presented in Sommer and Bossio (2014). This analysis is described in the paper cited below:    Zomer, R.J., Bossio, D.A., Sommer, R., Verchot, L.V., 2017. Global Sequestration Potential of Increased Organic Carbon in Cropland Soils. Scientific Reports 7: http://dx.doi.org/10.1038/s41598-017-15794-8     The methodology is described in detail in the Supplementary Materials", "keywords": ["agroecology", "Carbon sequestration", "Agricultural Sciences", "Earth and Environmental Sciences", "Africa", "Soils", "ecological modelling", "ecosystem services", "climate change mitigation"]}, "links": [{"href": "https://doi.org/10.7910/DVN/HYFICT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HYFICT", "name": "item", "description": "10.7910/DVN/HYFICT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HYFICT"}, {"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": "10.7910/DVN/1AN9GO", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Edaphic and Topographic Constraints on Exploitation of the Central Kenya Rift by Large Mammals and Early Hominins", "description": "Soil samples were analysed using standard protocols provided by KALRO (Kenya Agricultural and Livestock Research Organisation). For thin soils, we generally sampled the uppermost horizon (&lt;25cm). Soil and plant tissue analysis was carried out at the KALRO laboratories.   During field seasons in 2013 and 2014 a total of 163 soil samples and 160 plant tissue samples in the Kenya Rift from Lake Magadi in the south to Lake Baringo in the north. All samples were tested for concentration of the following trace elements and nutrients: calcium (Ca), copper (Cu), iron (Fe), manganese (Mn), magnesium (Mg), nitrogen (N), potassium (K), sodium (Na), phosphorus (P), and zinc (Zn). Further, soil samples were tested for pH-value, electrical conductivity, and total organic carbon (Table S1). Water samples from springs and boreholes around Lake Elmenteita to test for fluoride are also shown. The location of sample sites are tabulated (Table S2). The consequences of excess or deficiency of certain elements are shown in Table S3.", "keywords": ["Central Kenya Rift", "Edaphic and Topographic Constraints", "Agricultural Sciences", "Soil edaphics", "Lake Magadi", "Kariandusi", "soil analyses", "Lake Baringo", "Nakuru", "Medicine", " Health and Life Sciences", "Complex topography", "Earth and Environmental Sciences", "Hominins", "African Mammals", "Tectonic landscapes", "Site formation", "Acheulean"], "contacts": [{"organization": "K\u00fcbler, Simon, Rucina, Stephen, Reynolds, Sally, Owenga. Peter, Bailey, Geoffrey, King, Geoffrey,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/1AN9GO"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/1AN9GO", "name": "item", "description": "10.7910/DVN/1AN9GO", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/1AN9GO"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/1YZAQZ", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Landscape-scale variability of soil health indicators: Effects of cultivation on soil organic carbon in the Usambara Mountains of Tanzania", "description": "During the Phase I of the CCAFS project we conducted a systematic land and soil health assessment in Lushoto District in November 2012. These data were used to inform climate-smart agricultural interventions for the IFAD project as well as to parameterize DSSAT crop models for maize and beans. The land and soil health assessment that was carried out using the Land Degradation Surveillance Framework (LDSF). These data were also used to assess the effect of cultivation on soil organic carbon dynamics across the landscape. Finally, these data provide a biophysical assessment for the Lushoto CCAFS Climate Smart Village.", "keywords": ["Land and soil health assessment", "Soil organic matter", "land and soil health", "carbon", "landscape", "Soil degradation", "Carbon", "soil", "soil degradation", "soil organic matter", "Earth and Environmental Sciences", "Africa", "Land and soil health", "Soils", "Landscape"], "contacts": [{"organization": "Winowiecki, Leigh, V\u00e5gen, Tor Gunnar, Lyamchai, Charles, Sayula, George, Msoka, Elizabeth,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/1YZAQZ"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/1YZAQZ", "name": "item", "description": "10.7910/DVN/1YZAQZ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/1YZAQZ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/86009C", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "created": "2019-07-31", "title": "CROSST - Version 1.0.1", "description": "Open AccessCROSST is an Excel-based tool that assesses both agro-environmental and socio-economic impacts of Green Manure Cover Crop (GMCC) technologies. The tool quantifies gross economic margin, productivity (yield), soil health (N and P balances, soil structure, and soil organic carbon), required labor hours, and the trade-offs between these indicators. The tool was pilot-tested in Benin and Kenya under the BMZ-GIZ program on \u2018Soil Protection and Rehabilitation for Food Security.\u2019", "keywords": ["Agricultural Sciences", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Africa", "Ex-ante impact assessment", "Economic analysis", "Environmental modelling", "Agroecosystems and Sustainable Landscapes - ASL", "Agronomy", "Productivity"]}, "links": [{"href": "https://doi.org/10.7910/DVN/86009C"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/86009C", "name": "item", "description": "10.7910/DVN/86009C", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/86009C"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/2XHKHB", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "created": "2009-01-01", "title": "Performance of diverse upland rice cultivars in low and high soil fertility conditions in West Africa", "description": "Traditional tropical japonica (Oryza sativa) and Oryzaglaberrimacultivars are typically grown in lowinput, subsistence production systems in the uplands of West Africa by resource-poor farmers. In these systems, low soil fertility (LF), which is generally associated with lower organic carbon content, and N and P availability, is one of the major constraints to rice productivity. Thus, cultivars adapted to LF are needed for the food security of farmers, who would otherwise be solely reliant on nutrient inputs to increase productivity. This study evaluated the performance of six diverse cultivars grown in LF and high soil fertility (HF) conditions with supplemental irrigation over two seasons. Average grain yield across all cultivars in LF was 54% of that in HF (156 vs. 340 g m_2). Three improved indicarice cultivars and CG 14 (O. glaberrima) out-yielded Morobe\u00b4 re\u00b4kan (traditional tropical japonica) and WAB450-IBP-38-HB (progeny from interspecific hybridization of tropical japonica and O. glaberrima) in LF (181 vs. 105 g m_2 on average). The high grain yield in LF was the result of large spikelet number m_2 due to superior tillering ability and high harvest index rather than biomass production. The high-yielding cultivars in LF consistently had lower leaf chlorophyll content and higher specific leaf area during the period from the early vegetative stage through the reproductive stage. Among them, two indicacultivars (B6144F-MR-6-0-0 and IR 55423-01) were also high yielding in HF. The use of improved indicacultivars adapted to LF, but also with input-responsiveness, appears to offer an attractive and economical approach to improving upland rice productivity and widening genetic diversity in this region.", "keywords": ["Specific leaf area", "West Africa", "Indica", "Upland rice", "Low soil fertility", "Chlorophyll content", "Oryzaglaberrima"], "contacts": [{"organization": "Saito, Kazuki, Futakuchi, Koichi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/2XHKHB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/2XHKHB", "name": "item", "description": "10.7910/DVN/2XHKHB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/2XHKHB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/3BLW7E", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "created": "2020-02-20", "title": "Soil organic carbon in agricultural systems of six countries in East Africa  \u2013 a literature review of status and carbon sequestration potential", "description": "Open AccessA systematic literature review of existing evidence on soil organic carbon (SOC) responses to agronomic best management practices (BMPs) in cultivated soils of East Africa, focusing on Ethiopia, Kenya, Rwanda, Tanzania, Uganda, and Burundi. Examining current evidence on the extent to which BMPs can increase SOC stocks and whether net SOC sequestration is attainable in this region. The study also sought to identify knowledge gaps and make recommendations for future research. Independent variables:  \u2022 Annual rainfall (mm year-1), as semi-arid (&lt;600), sub-humid (601-1200), moist sub-humid (1201-1500), or humid (&gt;1500) \u2022 Temperature \u2022 Location,  \u2022 Altitude - lowland (&lt;1500 m above sea level (a.s.l.)) or highland (\u2265 1500 m a.s.l.).  \u2022 Soil characteristics \u2013 type, bulk density, texture \u2022 The time period after which changes in SOC were measured - short-term (&lt;10 years), medium-term (10-25 years), and long-term (&gt;25 years).  \u2022 Soil depth: 0-30 cm, 0-50 cm, and 0-100 cm. Dependent variables \u2022 Soil organic carbon stock (t C ha 1) \u2022 Soil organic carbon sequestration (t C ha 1 year-1) \u2022 Soil organic carbon loss (t C ha 1 year-1)", "keywords": ["soil organic carbon", "carbono organico del suelo", "Agricultural Sciences", "Soil organic carbon", "Earth and Environmental Sciences", "cropland", "Africa", "Cropland", "Multifunctional Landscapes", "tierras agricolas", "Best management practices", "East Africa"], "contacts": [{"organization": "Namirembe, Sara, Piikki, Kristin, Sommer, Rolf, S\u00f6derstr\u00f6m, Mats, Tessema, Bezaye, Nyawira, Sylvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/3BLW7E"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/3BLW7E", "name": "item", "description": "10.7910/DVN/3BLW7E", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/3BLW7E"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/QTACSN", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:54Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, Kenya and Ethiopia.", "description": "The survey data on soil carbon enhancing practices in Ethiopia is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, crops grown, yield, practices implemented, inputs, livestock ownership, social capital, access to credit, access to extension services.", "keywords": ["Agricultural economics", "Agricultural Sciences", "Soil carbon enhancing practices", "Land management", "Earth and Environmental Sciences", "Africa", "land management", "agricultural economics", "Decision and Policy Analysis - DAPA", "Ethiopia", "Natural resources", "natural resources", "Low soil fertility"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, Gelaw, Fekadu, Nguru, Wilson Maina, Magambo Kanyenji, George, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/QTACSN"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/QTACSN", "name": "item", "description": "10.7910/DVN/QTACSN", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/QTACSN"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/9BGO2X", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "created": "2016-01-01", "title": "Replication Data for: Reducing losses but failing to sequester carbon in soils \u2013 the case of Conservation Agriculture and Integrated Soil Fertility Management in the humid tropical agro-ecosystem of Western Kenya", "description": "Soil organic carbon content of topsoil (0-15 cm depths) of two agronomic long-term trial (CT1 and INM3), collected repeatedly throughout the years", "keywords": ["Agricultural Sciences", "Conservation agriculture", "Soil organic carbon", "soil fertility", "conservation", "Soil fertility", "climate change mitigation", "soil organic carbon", "4p1000", "Climate change mitigation", "climate change", "Earth and Environmental Sciences", "greenhouse gases", "Greenhouse gas emissions", "Africa", "Climate change", "Agroecosystems and Sustainable Landscapes - ASL", "C-sink"], "contacts": [{"organization": "Sommer, Rolf, Paul, Birthe, Kihara, Job, Mukalama, John,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/9BGO2X"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/9BGO2X", "name": "item", "description": "10.7910/DVN/9BGO2X", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/9BGO2X"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/FNEGDP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Current and future forage suitability maps for Ethiopia and Kenya", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "forage", "Ethiopia", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FNEGDP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FNEGDP", "name": "item", "description": "10.7910/DVN/FNEGDP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FNEGDP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/BUPNF4", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Assessing the Medium to Long-Term Impacts of Sustainable Intensification Technologies on Crop Productivity", "description": "Open AccessEXCEL, null", "keywords": ["AFRICA", "Agricultural production", "conservation agriculture", "Agricultural Sciences", "sustainable intensification", "SOUTHERN AFRICA", "yields", "trials", "MALAWI", "Social Sciences", "AFRICA SOUTH OF SAHARA", "Agricultural research", "farm typology"], "contacts": [{"organization": "Michigan State University (MSU)", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/BUPNF4"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/BUPNF4", "name": "item", "description": "10.7910/DVN/BUPNF4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/BUPNF4"}, {"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": "10.7910/DVN/ESK6BB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Current and future forage suitability maps for Rwanda and Tanzania", "description": "This data was produced using Targeting Tools \u2013 a web-based GIS tool, which matches a suitability criteria that include climate and environmental requirements for each of the forage varieties with a spatial database that\u2019s comprises organic carbon, soil PH, annual precipitation, mean temperature, growing days and elevation data to characterize the suitability.", "keywords": ["rwanda", "kenya", "Forage", "Agricultural Sciences", "Forage suitability", "Agrobiodiversity - AGBIO", "Earth and Environmental Sciences", "Maps", "Africa", "Rwanda", "forage", "Agroecosystems and Sustainable Landscapes - ASL", "Kenya"], "contacts": [{"organization": "Mutua, John, Notenbaert, An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/ESK6BB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ESK6BB", "name": "item", "description": "10.7910/DVN/ESK6BB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ESK6BB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/FA3ZJS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "created": "2016-11-30", "title": "Pilot Project Land Degradation Neutrality (LDN), Namibia: Establishment of a baseline for land degradation in the region of Otjozondjupa", "description": "Soil and vegetation data collected to develop LDN baselines in Otjozondjupa region of Namibia. The baselines include: land cover change, land productivity, soil organic carbon, and bush encroachment.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Soil Carbon", "Namibia", "Carbon", "soil", "Soil", "land cover", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Soils", "Land degradation", "degradaci\u00f3n de tierras", "desarrollo sostenible", "Otjozondjupa"], "contacts": [{"organization": "Nijbroek, Ravic, Mutua, John, S\u00f6derstr\u00f6m, Mats, Piikki, Kristin, Kempen, Bas, Hengari, Simeon,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FA3ZJS"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FA3ZJS", "name": "item", "description": "10.7910/DVN/FA3ZJS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FA3ZJS"}, {"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": "10.7910/DVN/GXUNAZ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "Non-responsiveness of crops to fertilizers under some soils in sub-Saharan Africa", "description": "Open AccessLow productivity of agriculture observed in different parts of sub-Saharan Africa is threatening food security in the region. Decades of production with mostly application of small amounts of inorganic fertilizers (mostly macronutrients) and scarce organic resources in the context of integrated soil fertility management (ISFM) result in nutrient mining of secondary and micronutrients in majority of smallholder farms. With the last decade, crop non-responsiveness to nutrient application has become an important issue requiring scientific understanding. We provide data focused on identifying the extent of non-responsiveness of crops to nutrient application and the associated factors. Data contains crop yield response to secondary and micronutrient (SMN), manure and lime application relative to yields of only NP/K application.", "keywords": ["Nutrient response", "carbono organico del suelo", "Agricultural Sciences", "Soil organic carbon", "CGIAR Research Program on Water", " Land and Ecosystems", "Inorganic fertilisers", "abonos inorganicos", "Multifunctional Landscapes", "micronutrients fertilizers", "Soil fertility", "Micronutrient fertilizers", "soil organic carbon", "Manure", "Earth and Environmental Sciences", "Africa", "inorganic fertilizers", "fertilizantes de oligoelementos"], "contacts": [{"organization": "Kihara, Job Maguta, Okeyo, Jeremiah, Bolo, Peter Omondi, Kinyua, Michael,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GXUNAZ"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GXUNAZ", "name": "item", "description": "10.7910/DVN/GXUNAZ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GXUNAZ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/HE6CEM", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:53Z", "type": "Dataset", "title": "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya", "description": "The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income.", "keywords": ["Land Management", "Agricultural Sciences", "Soil carbon enhancing practices", "land management", "Low soil fertility", "Kenya", "soil", "Soil", "Earth and Environmental Sciences", "Natural Resources", "Africa", "agricultural economics", "Decision and Policy Analysis - DAPA", "Western Kenya", "natural resources", "Agricultural Economics"], "contacts": [{"organization": "Ng\u2019ang\u2019a, Stanley Karanja, George Magambo, Kanyenji, Jalang'o, Dorcas Anyango, Nguru, Wilson Maina, Girvetz, Evan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HE6CEM"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HE6CEM", "name": "item", "description": "10.7910/DVN/HE6CEM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HE6CEM"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/KJNQ7Z", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:54Z", "type": "Dataset", "title": "Soil analysis for selected forage on-farm demonstration plots in Western Kenya", "description": "The data contains results for soil organic carbon and texture for selected forage treatments in 6 on-farm demonstration plots located in Bungoma, Kakamega, Siaya and Busia counties in Western Kenya. The soils were analyzed in 2022, 3 years after the planting of the forages. The 6 demonstration plots were set up within the Grass2cash project. The data will be used for calibrating and evaluating the DSSAT CROPGRO Perennial Forage Model.&lt;br&gt;&lt;br&gt; Metodology:Laboratory analysis", "keywords": ["soil organic carbon", "Crops for Nutrition and Health", "Agricultural Sciences", "Earth and Environmental Sciences", "Africa", "CGIAR Research Program on Livestock", "forage", "soil texture"], "contacts": [{"organization": "Nyawira, Sylvia Sarah, Jebet, Mercy Korir, Notenbaert, An Maria Omer,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/KJNQ7Z"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/KJNQ7Z", "name": "item", "description": "10.7910/DVN/KJNQ7Z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/KJNQ7Z"}, {"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": "31769934-038c-4873-ab14-4b6b66531103", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-157.9, -38.8], [-157.9, 29.1], [175.9, 29.1], [175.9, -38.8], [-157.9, -38.8]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Australia"}, {"id": "Bangladesh"}, {"id": "Belize"}, {"id": "Benin"}, {"id": "Brazil"}, {"id": "Cameroon"}, {"id": "China"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Dominican Republic"}, {"id": "Ecuador"}, {"id": "Egypt"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guadeloupe"}, {"id": "Honduras"}, {"id": "Hong Kong"}, {"id": "India"}, {"id": "Indonesia"}, {"id": "Madagascar"}, {"id": "Malaysia"}, {"id": "Mexico"}, {"id": "Micronesia"}, {"id": "Mozambique"}, {"id": "New Zealand"}, {"id": "Nigeria"}, {"id": "Palau"}, {"id": "Panama"}, {"id": "Philippines"}, {"id": "Saudi Arabia"}, {"id": "Singapore"}, {"id": "South Africa"}, {"id": "Sri Lanka"}, {"id": "Taiwan"}, {"id": "Thailand"}, {"id": "United States"}, {"id": "Vietnam"}], "scheme": "Region"}], "updated": "2024-11-27T10:08:58", "type": "Dataset", "language": "eng", "title": "Global mangrove soil carbon: dataset and spatial maps", "description": "Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "10.7910/DVN/UNLRGC", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:54Z", "type": "Dataset", "title": "Replication Data for: Maize response to macronutrients and potential for profitability in sub-Saharan Africa", "description": "Sub-Saharan Africa (SSA) is plagued by low productivity and little research is available on the attainable responses and profitability to applied nutrients under variable environments. The objective of this study was to determine the attainable maize grain response to and potential of profitability of N, P and K application in SSA using boundary line approaches. Data from experiments conducted in SSA under AfSIS project (2009\u20132012) and from FAO trials database (1969\u20131996) in 15 countries and constituting over 375 different experimental locations and 6600 data points are used. Both response to fertilizer and value cost ratio (VCR) are highly variable and no more than 61 % cases for N, 43 % for P and 25 % for K attain VCR of 2 or more. Also, based on the recent AfSIS data, VCR exceeds 1 in just 67 % (N), 57 % (P) and 40 % (K) of the cases, even when best management practices are applied on a research farm, and interest rates are zero. Chances for profitability are highest when soil organic carbon is 1\u20132 % and control maize grain yield is 1\u20133 t ha\u22121 but also depends on relatively static soil properties (primarily texture and mineralogy) that are not under farmer control. We conclude that return on investment of macronutrient fertilizer is highly variable and can be substantially increased by helping farmers decide where to apply the fertilizers. Consequently, farmers need access to information on factors influencing economic returns of fertilizer use in order to make the right decisions.", "keywords": ["soil fertility", "Earth and Environmental Sciences", "Africa", "Soils", "Soil fertility", "soil"], "contacts": [{"organization": "Kihara, Job", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/UNLRGC"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/UNLRGC", "name": "item", "description": "10.7910/DVN/UNLRGC", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/UNLRGC"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/XZIRK0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:24:55Z", "type": "Dataset", "title": "Baselines for land degradation neutrality indicators in the Omusati region, Namibia", "description": "This data was collected to develop baselines for three Land Degradation Neutrality (LDN) indicators: land use and land cover change (LUC) for the period 2001-2017, soil organic carbon (SOC) stocks for 2017 and bush density for 2017 as a baseline for bush encroachment in Omusati region, Namibia.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Namibia", "Soil carbon", "Carbon", "soil", "Soil", "land cover", "Omusati", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Bush density", "Land degradation", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Hengari, Simeon, Angombe, Simon, Katjioungua, Georgina, Fabiano, Ezequiel, Zauisomue, Erlich, Nakashona, Natalia, Ipinge, Selma, Andreas, Amon, Muhoko, Edward, Emvula, Emerit, Mutua, John, Kempen, Bas, Nijbroek, Ravic,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/XZIRK0"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/XZIRK0", "name": "item", "description": "10.7910/DVN/XZIRK0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/XZIRK0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/Z8WXQM", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:24:55Z", "type": "Dataset", "created": "2020-01-01", "title": "Combined GIS and Africa RISING Baseline Evaluation Survey (ARBES) Farm Household Data for FarmMatch, Tanzania", "description": "Open AccessGIS grid cells differ in biophysical conditions (soil, rainfall, etc.) and socio-economic circumstances (e.g. distance to market, population density). Moreover, within these cells we have households sampled within the Africa RISING Baseline Evaluation Survey (ARBES) database collected by IFPRI. For each household, we analyze in particular the main, easy to collect farm and household features (size, objectives, livestock, crop number, % off-farm income, etc.) and relate these to the farm practices and project-proposed technologies and techniques. The matching algorithm combines the GIS-derived data on biophysical conditions and socio-economic context circumstances with the farm features, to estimate the probability of use of the various technologies and techniques. &lt;/p&gt;  The data scored are as follows: Elevation, Digital Elevation Model, Slope, Precipitation, Temperature, Soil bulk density, Soil cation exchange capacity, Organic carbon, Distance to market, Population density, Household size, Children under 7, Age of household head, Education years, Total land size, Average distance to fields, Soil erosion, Animal mixed, Communal labor, Hired labor, Total labor, Months shortage, TLU chickens, TLU small ruminants, TLU large ruminants, Has irrigation, Uses fallowing, Uses manure, Num trees, Area intercropped, Fertilizer value, Improved seed value, Pigeon pea, Groundnut, Chickpea, Improved cattle, Improved goats, Improved pigs.", "keywords": ["2. Zero hunger", "geographical information systems", "AFRICA", "TANZANIA", "EAST AFRICA", "Agricultural Sciences", "technology", "Social Sciences", "Geographical information systems", "AFRICA SOUTH OF SAHARA", "15. Life on land", "agricultural systems", "Agricultural research"], "contacts": [{"organization": "Groot, Jeroen, Muthoni, Francis, Classens, Lieven, Bandyopadhyay, Arkadeep, Haile, Beliyou, Azzari, Carlo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/Z8WXQM"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/Z8WXQM", "name": "item", "description": "10.7910/DVN/Z8WXQM", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/Z8WXQM"}, {"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": "10aa9a77-1433-11e9-a8fa-a0481ca9e724", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-18.0, -35.0], [-18.0, 37.0], [51.0, 37.0], [51.0, -35.0], [-18.0, -35.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}], "scheme": "Region"}], "license": "Attribution-NonCommercial 3.0 International (CC BY-NC 3.0), https://creativecommons.org/licenses/by-nc/3.0/", "updated": "2021-07-14T11:52:34", "type": "Dataset", "language": "eng", "title": "Africa SoilGrids - 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The regression-kriging models were used to predict carbon concentrations, stocks and bulk density at the nodes of a regular grid with 250 meter cell size covering the Tanzania. Prediction uncertainty was quantified and is available with the data as the lower and upper boundary of the 90% prediction interval. Further details about the input data, modelling framework, and cross validation results are provided in a peer-reviewed, scientific journal article.\n\nThe project was funded by the UN-REDD Programme Output 2.4 \u201cNational Maps inform delivery of the REDD+ Framework\u201d and conducted through a letter of Agreement between Food and Agricultural Organization of the United Nations (FAO) and ISRIC-World Soil Information. 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Root zone plant available water holding capacity aggregated at ERZD", "description": "Plant available water holding capacity (v%) of the soil fine earth fraction, with field capacity defined at h=200 cm or pF 2.3, aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolution", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "OGC:WMS"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["available water capacity", "root zone", "digital soil mapping", "Soil science", "Africa"], "contacts": [{"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "1000", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/public/gyga/GYGA_Results/gyga_af_agg_erzd_awcpf23__m_1km.tif", "name": "Download GeoTIFF at aggregated root depth", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://maps.isric.org/mapserv?map=/map/gyga.map", "name": "gyga_af_agg_erzd_awcpf23__m_1km", "protocol": "OGC:WMS", "rel": "information"}, {"href": "https://doi.org/10.1016/j.geoderma.2018.02.046", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://isric.org/projects/afsis-gyga-functional-soil-information-sub-saharan-africa-rz-pawhc-ssa", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://maps.isric.org/mapserv?map=/map/gyga.map&SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&BBOX=-35,-24,38,57&CRS=EPSG:4326&WIDTH=1426&HEIGHT=895&LAYERS=gyga_af_agg_erzd_awcpf23__m_1km&STYLES=&FORMAT=png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "10aa9ac9-1433-11e9-a8fa-a0481ca9e724", "name": "item", "description": "10aa9ac9-1433-11e9-a8fa-a0481ca9e724", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10aa9ac9-1433-11e9-a8fa-a0481ca9e724"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "2015-12-01T00:00:00Z"]}}, {"id": "11386/4857971", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-28T16:25:25Z", "type": "Journal Article", "created": "2023-08-23", "title": "Observing Mineral Dust in Northern Africa, the Middle East, and Europe: Current Capabilities and Challenges ahead for the Development of Dust Services", "description": "Abstract <p>Mineral dust produced by wind erosion of arid and semiarid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socioeconomic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust-forecast-tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities, including in situ, ground-based, and satellite remote sensing observations in northern Africa, the Middle East, and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders.</p", "keywords": ["[SDE] Environmental Sciences", "Mineral dusts", "Dust services", "550", "103039 Aerosol physics", "105208 Atmospheric chemistry", "Mineral dust", "Earth system -- environmental sciences", "[SDU] Sciences of the Universe [physics]", "Middle East", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "SDG 3 - Good Health and Well-being", "Simulaci\u00f3 per ordinador", "11. Sustainability", "SDG 13 - Climate Action", "Northern Africa", "103039 Aerosolphysik", "observation capabilities", "current capabilities and challenges", "mineral dust", "info:eu-repo/classification/ddc/550", "Earth radiation", "ddc:550", "health", "15. Life on land", "Remote sensing", "Atmospheric aerosols", "Aerosols/ particulates; In situ atmospheric observations; Remote sensing; Air quality and health", "105208 Atmosph\u00e4renchemie", "Europe", "Earth sciences", "13. Climate action", "103037 Environmental physics", "SDG 3 \u2013 Gesundheit und Wohlergehen", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "In situ atmospheric observations", "Air quality", "dust service", "Aerosols/ particulates", "Dust observation", "Satellite remote sensing observations", "103037 Umweltphysik", "Atmospheric aerosol"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/452880/1/prod_491741-doc_205111.pdf"}, {"href": "https://www.iris.unisa.it/bitstream/11386/4857971/1/bams-BAMS-D-23-0005.1-2.pdf"}, {"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/104/12/BAMS-D-23-0005.1.xml"}, {"href": "https://doi.org/11386/4857971"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11386/4857971", "name": "item", "description": "11386/4857971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11386/4857971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "20.500.14243/459659", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:25:56Z", "type": "Journal Article", "created": "2023-05-17", "title": "Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Aerosol reanalysis datasets are model-based, observationally constrained, continuous 3D aerosol fields with a relatively high temporal frequency that can be used to assess aerosol variations and trends, climate effects, and impacts on socioeconomic sectors, such as health. Here we compare and assess the recently published MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) high-resolution regional desert dust reanalysis over northern Africa, the Middle East, and Europe (NAMEE) with a combination of ground-based observations and space-based dust retrievals and products. In particular, we compare the total and coarse dust optical depth (DOD) from the new reanalysis with DOD products derived from MODIS (MODerate resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging SpectroRadiometer), and IASI (Infrared Atmospheric Sounding Interferometer) spaceborne instruments. Despite the larger uncertainties, satellite-based datasets provide a better geographical coverage than ground-based observations, and the use of different retrievals and products allows at least partially overcoming some single-product weaknesses in the comparison. Nevertheless, limitations and uncertainties due to the type of sensor, its operating principle, its sensitivity, its temporal and spatial resolution, and the methodology for retrieving or further deriving dust products are factors that bias the reanalysis assessment. We, therefore, also use ground-based DOD observations provided by 238 stations of the AERONET (AErosol RObotic NETwork) located within the NAMEE region as a reference evaluation dataset. In particular, prior to the reanalysis assessment, the satellite datasets were evaluated against AERONET, showing moderate underestimations in the vicinities of dust sources and downwind regions, whereas small or significant overestimations, depending on the dataset, can be found in the remote regions. Taking these results into consideration, the MONARCH reanalysis assessment shows that total and coarse-DOD simulations are consistent with satellite- and ground-based data, qualitatively capturing the major dust sources in the area in addition to the dust transport patterns. Moreover, the MONARCH reanalysis reproduces the seasonal dust cycle, identifying the increased dust activity that occurred in the NAMEE region during spring and summer. The quantitative comparison between the MONARCH reanalysis DOD and satellite multi-sensor products shows that the reanalysis tends to slightly overestimate the desert dust that is emitted from the source regions and underestimate the transported dust over the outflow regions, implying that the model's removal of dust particles from the atmosphere, through deposition processes, is too effective. More specifically, small positive biases are found over the Sahara desert (0.04) and negative biases over the Atlantic Ocean and the Arabian Sea (\u22120.04), which constitute the main pathways of the long-range dust transport. Considering the DOD values recorded on average there, such discrepancies can be considered low, as the low relative bias in the Sahara desert (&lt;\u200950\u2009%) and over the adjacent maritime regions (&lt;\u2009100\u2009%) certifies. Similarly, over areas with intense dust activity, the linear correlation coefficient between the MONARCH reanalysis simulations and the ensemble of the satellite products is significantly high for both total and coarse DOD, reaching 0.8 over the Middle East, the Atlantic Ocean, and the Arabian Sea and exceeding it over the African continent. Moreover, the low relative biases and high correlations are associated with regions for which large numbers of observations are available, thus allowing for robust reanalysis assessment.</p></article>", "keywords": ["[SDE] Environmental Sciences", "aerosol", "temporal analysis", "Physics", "QC1-999", "North Africa", "01 natural sciences", "observational method", "optical depth", "Europe", "Chemistry", "Middle East", "13. Climate action", "satellite sensor", "dust", "QD1-999", "ground-based measurement", "comparative study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/459659/1/prod_487259-doc_202407.pdf"}, {"href": "https://acp.copernicus.org/articles/23/5487/2023/acp-23-5487-2023.pdf"}, {"href": "https://doi.org/20.500.14243/459659"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/459659", "name": "item", "description": "20.500.14243/459659", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/459659"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-17T00:00:00Z"}}, {"id": "20.500.11850/648128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:25:52Z", "type": "Journal Article", "created": "2023-12-11", "title": "Controls on timescales of soil organic carbon persistence across sub\u2010Saharan Africa", "description": "Abstract<p>Given the importance of soil for the global carbon cycle, it is essential to understand not only how much carbon soil stores but also how long this carbon persists. Previous studies have shown that the amount and age of soil carbon are strongly affected by the interaction of climate, vegetation, and mineralogy. However, these findings are primarily based on studies from temperate regions and from fine\uffe2\uff80\uff90scale studies, leaving large knowledge gaps for soils from understudied regions such as sub\uffe2\uff80\uff90Saharan Africa. In addition, there is a lack of data to validate modeled soil C dynamics at broad scales. Here, we present insights into organic carbon cycling, based on a new broad\uffe2\uff80\uff90scale radiocarbon and mineral dataset for sub\uffe2\uff80\uff90Saharan Africa. We found that in moderately weathered soils in seasonal climate zones with poorly crystalline and reactive clay minerals, organic carbon persists longer on average (topsoil: 201\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89130\uffe2\uff80\uff89years; subsoil: 645\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89385\uffe2\uff80\uff89years) than in highly weathered soils in humid regions (topsoil: 140\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff8946\uffe2\uff80\uff89years; subsoil: 454\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89247\uffe2\uff80\uff89years) with less reactive minerals. Soils in arid climate zones (topsoil: 396\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89339\uffe2\uff80\uff89years; subsoil: 963\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff89669\uffe2\uff80\uff89years) store organic carbon for periods more similar to those in seasonal climate zones, likely reflecting climatic constraints on weathering, carbon inputs and microbial decomposition. These insights into the timescales of organic carbon persistence in soils of sub\uffe2\uff80\uff90Saharan Africa suggest that a process\uffe2\uff80\uff90oriented grouping of soils based on pedo\uffe2\uff80\uff90climatic conditions may be useful to improve predictions of soil responses to climate change at broader scales.</p", "keywords": ["clay mineralogy", "2. Zero hunger", "Minerals", "Carbon Sequestration", "550", "Subtropical", "African Soil Information Service; Afrotropics; clay mineralogy; climate change; mean C age; radiocarbon; subtropical", "mean C age", "15. Life on land", "Clay mineralogy", "Radiocarbon", "Carbon", "African Soil Information Service", "Soil", "climate change", "subtropical", "13. Climate action", "radiocarbon", "Climate change", "Mean C age", "Afrotropics", "Research Articles", "Africa South of the Sahara"]}, "links": [{"href": "https://escholarship.org/content/qt2qk876dq/qt2qk876dq.pdf"}, {"href": "https://doi.org/20.500.11850/648128"}, {"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": "20.500.11850/648128", "name": "item", "description": "20.500.11850/648128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/648128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-11T00:00:00Z"}}, {"id": "24236b32-ab5d-4fc2-ac4c-350d69ed8a4e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-29.7, -34.9], [-29.7, 28.7], [55.4, 28.7], [55.4, -34.9], [-29.7, -34.9]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}], "scheme": "Region"}], "license": "Open Database License (ODbl) v1.0", "updated": "2021-07-14T11:51:52", "type": "Dataset", "language": "eng", "title": "Africa SoilGrids nutrients - Extractable Potassium (K)", "description": "Extractable Potassium (K) content of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) . Values M = mean value predicted. using soil data from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in partnership with EthioSIS (Ethiopia), GhaSIS (Ghana) and NiSIS (Nigeria as made possible by OCP Africa and IITA), combined with soil data as made available by Wageningen University and Research, IFDC, VitalSigns, University of California and the OneAcreFund. [Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). Maps produced for the Environmental Assessment Agency (PBL), funded by the Netherlands government, in collaboration with the AfSIS and the Vital Signs projects.", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "OGC:WMS"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["nutrients", "potassium", "digital soil mapping", "Soil science", "Africa"], "contacts": [{"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/public/af250m_nutrient/af250m_nutrient_k_m_agg30cm.tif", "name": "Download GeoTIFF at depth 30 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map", "name": "af250m_nutrient_k_m_agg30cm", "protocol": "OGC:WMS", "rel": "information"}, {"href": "https://isric.org/projects/africa-soilgrids-soil-nutrient-maps-sub-saharan-africa-250-m-resolution", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://link.springer.com/article/10.1007/s10705-017-9870-x", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map&SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&BBOX=-35,-30,29,56&CRS=EPSG:4326&WIDTH=1426&HEIGHT=895&LAYERS=af250m_nutrient_k_m_agg30cm&STYLES=&FORMAT=png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "24236b32-ab5d-4fc2-ac4c-350d69ed8a4e", "name": "item", "description": "24236b32-ab5d-4fc2-ac4c-350d69ed8a4e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/24236b32-ab5d-4fc2-ac4c-350d69ed8a4e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1980-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "2905144705", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-28T16:26:21Z", "type": "Journal Article", "created": "2018-12-07", "title": "Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change", "description": "This paper suggests how climate change may transform vineyards. We consider changes in agro-climatic indicators derived from climatic variables as drivers for adaptation needs. We use two climate scenarios, GCM GFL-ESM2M and HadGEM2-ES, with 0.5\u00b0 spatial resolution and daily time step forced by two emission scenarios, RCP2.6 and 6.0, to estimate the transition of potential vineyards in the major grape production world areas by the late 21st century. We present and discuss changes in three impact indicators - one drought indicator and two temperature ones - aimed at exploring the benefits of transition-based policies. The drought indicator provides insights to prepare adaptation for extreme events in probabilistic terms. The temperature indicators offer information on the transition towards suitable zones of production. Future projections suggest a lack of water to maintain current levels of production in all regions of the world. Furthermore, thermal suitability of grapevine may be greatly affected in China and the Mediterranean region. Nevertheless, the possibility of quality wines is not altered within the regions with adequate suitability. Lastly, a portfolio of strategies to adapt to the future climate is presented.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "0301 basic medicine", "China", "Models", " Statistical", "Mediterranean Region", "Climate Change", "Oceania", "Temperature", "Agriculture", "South America", "15. Life on land", "01 natural sciences", "Droughts", "South Africa", "03 medical and health sciences", "13. Climate action", "[SDE]Environmental Sciences", "North America", "Vitis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2905144705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2905144705", "name": "item", "description": "2905144705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2905144705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "290d3e5d-e173-4f6b-8831-053b819d75fc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-29.7, -34.9], [-29.7, 28.7], [55.4, 28.7], [55.4, -34.9], [-29.7, -34.9]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:25", "type": "Dataset", "language": "eng", "title": "Africa SoilGrids nutrients - Extractable Sodium (Na)", "description": "Extractable Sodium content (Na) of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in partnership with EthioSIS (Ethiopia), GhaSIS (Ghana) and NiSIS (Nigeria as made possible by OCP Africa and IITA), combined with soil data as made available by Wageningen University and Research, IFDC, VitalSigns, University of California and the OneAcreFund. [Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). Maps produced for the Environmental Assessment Agency (PBL), funded by the Netherlands government, in collaboration with the AfSIS and the Vital Signs projects.", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "OGC:WMS"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["nutrients", "sodium", "digital soil mapping", "Soil science", "Africa"], "contacts": [{"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/public/af250m_nutrient/af250m_nutrient_na_m_agg30cm.tif", "name": "Download GeoTIFF at depth 30 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map", "name": "af250m_nutrient_na_m_agg30cm", "protocol": "OGC:WMS", "rel": "information"}, {"href": "https://isric.org/projects/africa-soilgrids-soil-nutrient-maps-sub-saharan-africa-250-m-resolution", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://link.springer.com/article/10.1007/s10705-017-9870-x", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map&SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&BBOX=-35,-30,29,56&CRS=EPSG:4326&WIDTH=1426&HEIGHT=895&LAYERS=af250m_nutrient_na_m_agg30cm&STYLES=&FORMAT=png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "290d3e5d-e173-4f6b-8831-053b819d75fc", "name": "item", "description": "290d3e5d-e173-4f6b-8831-053b819d75fc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/290d3e5d-e173-4f6b-8831-053b819d75fc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1980-01-01T00:00:00Z", "2016-12-31T00:00:00Z"]}}, {"id": "2a7d2fb8-e0db-4a4b-9661-4809865aaccf", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-18.0, -35.0], [-18.0, 37.0], [51.0, 37.0], [51.0, -35.0], [-18.0, -35.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:34", "type": "Dataset", "language": "eng", "title": "Africa SoilGrids - Texture", "description": "Textural class (defined according to USDA system) at 6 depth intervals derived from sand, silt and clay contents predicted using the Africa Soil Profiles Database (AfSP) v1.2. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T. Desta, J.E. Tondoh, 2015. Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. PLoS ONE 10(6)\n\nTexture classes of the USDA system / triangle used in this map:\ncode, name\n1   clay\n2   silty clay\n3   sandy clay\n4   clay loam\n5   silty clayloam\n6   sandy clay loam\n7   loam\n8   silty loam\n9   sandy loam\n10  silt  \n11  loamy sand\n12  sand", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["texture", "digital soil mapping", "Soil science", "Africa"], "contacts": [{"name": "Johan Leenaars", "organization": "ISRIC - World Soil Information", "position": "Senior soil scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "johan.leenaars@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd1_250m.tif", "name": "Download GeoTIFF at depth 0-5 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd2_250m.tif", "name": "Download GeoTIFF at depth 5-15 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd3_250m.tif", "name": "Download GeoTIFF at depth 15-30 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd4_250m.tif", "name": "Download GeoTIFF at depth 30-60 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd5_250m.tif", "name": "Download GeoTIFF at depth 60-100 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd6_250m.tif", "name": "Download GeoTIFF at depth 100-200 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/soil-property-maps-africa-250-m-resolution", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0125814", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/afsis250m/texmht.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "2a7d2fb8-e0db-4a4b-9661-4809865aaccf", "name": "item", "description": "2a7d2fb8-e0db-4a4b-9661-4809865aaccf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2a7d2fb8-e0db-4a4b-9661-4809865aaccf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1960-01-01T00:00:00Z", "2015-12-31T00:00:00Z"]}}, {"id": "30677949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-28T16:26:36Z", "type": "Journal Article", "created": "2018-12-07", "title": "Vineyards in transition: A global assessment of the adaptation needs of grape producing regions under climate change", "description": "This paper suggests how climate change may transform vineyards. We consider changes in agro-climatic indicators derived from climatic variables as drivers for adaptation needs. We use two climate scenarios, GCM GFL-ESM2M and HadGEM2-ES, with 0.5\u00b0 spatial resolution and daily time step forced by two emission scenarios, RCP2.6 and 6.0, to estimate the transition of potential vineyards in the major grape production world areas by the late 21st century. We present and discuss changes in three impact indicators - one drought indicator and two temperature ones - aimed at exploring the benefits of transition-based policies. The drought indicator provides insights to prepare adaptation for extreme events in probabilistic terms. The temperature indicators offer information on the transition towards suitable zones of production. Future projections suggest a lack of water to maintain current levels of production in all regions of the world. Furthermore, thermal suitability of grapevine may be greatly affected in China and the Mediterranean region. Nevertheless, the possibility of quality wines is not altered within the regions with adequate suitability. Lastly, a portfolio of strategies to adapt to the future climate is presented.", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "China", "Models", " Statistical", "Mediterranean Region", "Climate Change", "Oceania", "Temperature", "Agriculture", "South America", "15. Life on land", "01 natural sciences", "Droughts", "South Africa", "03 medical and health sciences", "13. Climate action", "[SDE]Environmental Sciences", "North America", "Vitis", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/30677949"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "30677949", "name": "item", "description": "30677949", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/30677949"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "311b541a-ebeb-44bf-9aea-1c715f371295", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[35.85, -0.68], [35.85, -0.11], [36.34, -0.11], [36.34, -0.68], [35.85, -0.68]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "license": "Not Specified: The original author did not specify a license.", "updated": "2018-06-27T09:00:34Z", "type": "Dataset", "language": "eng", "title": "Unvalidated landcover classifications for Nakuru National Park, Kenya - generated by JRC for 1990, 2000 and 2010", "description": "Landcover segments created using JRC's IMPACT classification tool for  Lake Nakuru designated protected area, and a buffer of 20km surrounding it. 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This study examines how local contextual environmental factors contribute to individual choices for adapting to water scarcity in three locations in central Spain. The study evaluates citizens' choices by audience segmentation and explore the role of geographical location in segments' engagement with adaptation and adaptation measure preference. The results of the analysis of the effect of local experience support the findings of other studies that suggest that local experience is linked to risk perception but does not necessarily drive adaptive behaviour. The results suggest that respondents from most degraded areas show a higher local risk perception, but do not show homogeneous commitment to adaptation. The results also indicate differences over adaptation measure preferences across locations. Respondents of less degraded areas have a lower risk perception and show individualistic responses as compared to respondents in water stressed communities. These results highlight the relevance of local experience-driven risk perception in support to adaptation actions. Spain exemplifies many countries in southern Europe and North Africa, where drought is already a challenge to society and it is affecting an increasing number of people.", "keywords": ["Europe", "03 medical and health sciences", "0302 clinical medicine", "Africa", " Northern", "Spain", "13. Climate action", "Climate Change", "11. Sustainability", "1. No poverty", "Humans", "15. Life on land", "6. 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For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T. Desta, J.E. Tondoh, 2015. Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. 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This study examines how local contextual environmental factors contribute to individual choices for adapting to water scarcity in three locations in central Spain. The study evaluates citizens' choices by audience segmentation and explore the role of geographical location in segments' engagement with adaptation and adaptation measure preference. The results of the analysis of the effect of local experience support the findings of other studies that suggest that local experience is linked to risk perception but does not necessarily drive adaptive behaviour. The results suggest that respondents from most degraded areas show a higher local risk perception, but do not show homogeneous commitment to adaptation. The results also indicate differences over adaptation measure preferences across locations. Respondents of less degraded areas have a lower risk perception and show individualistic responses as compared to respondents in water stressed communities. These results highlight the relevance of local experience-driven risk perception in support to adaptation actions. Spain exemplifies many countries in southern Europe and North Africa, where drought is already a challenge to society and it is affecting an increasing number of people.", "keywords": ["Europe", "03 medical and health sciences", "0302 clinical medicine", "Africa", " Northern", "Spain", "13. Climate action", "Climate Change", "11. Sustainability", "1. No poverty", "Humans", "15. Life on land", "6. Clean water", "Droughts"]}, "links": [{"href": "https://doi.org/34087643"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "34087643", "name": "item", "description": "34087643", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/34087643"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-01T00:00:00Z"}}, {"id": "348a9bcc-ca7d-4fe9-ad34-42fed0d0bf52", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.2, -13.5], [12.2, 5.4], [31.3, 5.4], [31.3, -13.5], [12.2, -13.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Africa"}, {"id": "Central Africa"}, {"id": "Rwanda"}, {"id": "Burundi"}, {"id": "DR of the Congo"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:04", "type": "Dataset", "language": "eng", "title": "SOTER-based soil parameter estimates (SOTWIS) for Central Africa", "description": "This harmonized set of soil parameter estimates for Central Africa, comprising Burundi, the Democratic Republic of the Congo and Rwanda, was derived from the Soil and Terrain Database for Central Africa (SOTERCAF ver. 1.0) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. \n\nThe land surface of Central Africa, comprising some 2.4 million km2, has been characterized using 244 unique SOTER units, corresponding with 504 polygons. 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