{"type": "FeatureCollection", "features": [{"id": "10.1007/s10113-020-01617-6", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-26T16:14:51Z", "type": "Journal Article", "created": "2020-02-28", "title": "Future soil loss in highland Ethiopia under changing climate and land use", "description": "Soil erosion caused by climate and land-use changes is one of the biggest environmental challenges in highland Ethiopia. The aim of this study was to assess the future soil erosion risks and evaluate the potential conservation measures in the Rib watershed, northwestern highland Ethiopia. We used the HadGEM2-ES model with a moderate greenhouse gas (GHG) concentration scenario (RCP4.5) to project the future climate. The future land-use patterns were predicted using the CA-Markov model. We integrated the RUSLE model with GIS to estimate the spatial distribution of soil loss and identify erosion risk areas. We found that the Rib watershed is highly vulnerable to future climate and land-use changes, leading to a high soil erosion risk. Despite slight growth of forest cover during the study period, the total soil loss for the watershed was estimated to be 7.93\u2009\u00d7\u2009106\u00a0t\u00a0year\u22121 in 2017 and was predicted to increase to 9.75\u2009\u00d7\u2009106\u00a0t\u00a0year\u22121 in 2050, an increase of about 23%. The increase in forest cover was due to the expansion of the area of eucalyptus plantations which are more prone to erosion. Moreover, field survey showed that the residual native forests are sparsely vegetated and mostly used for cattle grazing, increasing the erosion risk even more. In contrast, the combined use of afforestation with native trees and physical soil conservation measures in the upper areas of the catchment could decrease soil loss by 62%. Our results stress the importance of combining soil conservation measures, including converting eucalyptus plantations to native forests, to mitigate the effects of future climate change and increased agricultural production on soil erosion.", "keywords": ["2. Zero hunger", "13. Climate action", "HadGEM2-ES model", "Modeling", "Nature-based solutions", "CA-Markov model", "0401 agriculture", " forestry", " and fisheries", "RUSLE model", "04 agricultural and veterinary sciences", "15. Life on land", "GIS", "6. Clean water"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10113-020-01617-6.pdf"}, {"href": "https://doi.org/10.1007/s10113-020-01617-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Regional%20Environmental%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10113-020-01617-6", "name": "item", "description": "10.1007/s10113-020-01617-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10113-020-01617-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-28T00:00:00Z"}}, {"id": "50|od______2659::89950871bb66a5f7dab33e62c1dd289a", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-08-26T16:23:43Z", "type": "Dataset", "title": "SERENA EJPSOIL FR EROSION SOIL LOSS", "description": "General description of SERENA   The internal EJP SOIL project\u00a0SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  Actual dataset  This dataset was product following cookbook recommandation described here : 10.5281/zenodo.13991088. Values are annual erosion rate estimated with the RUSLE method using national data.", "keywords": ["soil erosion", "RUSLE model", "France"], "contacts": [{"organization": "Gaillot, Arthur", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/50|od______2659::89950871bb66a5f7dab33e62c1dd289a"}, {"rel": "self", "type": "application/geo+json", "title": "50|od______2659::89950871bb66a5f7dab33e62c1dd289a", "name": "item", "description": "50|od______2659::89950871bb66a5f7dab33e62c1dd289a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od______2659::89950871bb66a5f7dab33e62c1dd289a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-29T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=RUSLE+model&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=RUSLE+model&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=RUSLE+model&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=RUSLE+model&offset=2", "hreflang": "en-US"}], "numberMatched": 2, "numberReturned": 2, "distributedFeatures": [], "timeStamp": "2026-08-26T17:38:26.649614Z"}