{"type": "FeatureCollection", "features": [{"id": "10.1016/j.geodrs.2023.e00610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:17:53Z", "type": "Journal Article", "created": "2023-01-20", "title": "Evaluation of RUSLE and spatial assessment of agricultural soil erosion in Finland", "description": "Agricultural soil erosion has negative effects on surface water quality and aquatic ecosystems. A major impediment to agricultural erosion management in Finland has been the lack of high-resolution country-scale data on the spatial distribution of erosion. As a result, erosion mitigation measures have been targeted with limited information. Therefore, we evaluated the performance of the widely used RUSLE model against measurements from experimental fields, used the model to produce a two-metre resolution crop and management independent erosion estimate for all agricultural lands of Finland, and analysed erosion over different spatial scales. RUSLE showed skill (R2 = 0.76, NSE = 0.72) in estimating the observed erosion at experimental fields (55\u20132100 kg ha\u22121 yr\u22121) but with large errors (mean: \u2212134 kg ha\u22121 yr\u22121, 90% range: \u2212711 and 218 kg ha\u22121 yr\u22121). The evaluation, however, suggests that RUSLE performs similarly in Finland as elsewhere. The analysis of the developed country-scale data, in turn, revealed high erosion regions, and it showed how erosion varies between sub-catchment and between and within field parcels. For example, high-erosion areas concentrated in the proximity of water bodies were identified at the sub-catchment and within-field parcel scales. Altogether, the results demonstrate the predictive skill of RUSLE in high-latitude conditions, fill the earlier data gap in country-scale erosion, provide information for targeting erosion mitigation measures, and considerably improve the understanding of the spatial distribution of erosion in Finland. ; 2023", "keywords": ["550", "500", "Agriculture", "Water protection", "04 agricultural and veterinary sciences", "Podzols", "Soil erosion", "Histosols", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "Gleysols", "Regosols", "Stagnosols", "ta218", "Finland"]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2023.e00610"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2023.e00610", "name": "item", "description": "10.1016/j.geodrs.2023.e00610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2023.e00610"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-01T00:00:00Z"}}, {"id": "10.20944/preprints202012.0208.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:22:18Z", "type": "Journal Article", "created": "2020-12-09", "title": "Arable Podzols are A Substantial Carbon Sink under Current and Future Climate: Evidence From a Long-Term Experiment in Vladimir Region, Russia", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil organic carbon (SOC) is an essential condition for soil health and a potential sink for greenhouse gases. SOC dynamics in a long-term field experiment with mineral and organic fertilization on loamy sand Podzol in Vladimir Region, Russia, was traced with the dynamic carbon model RothC since 1968 until the present time. During this period, C stock increased 21% compared with the initial level in the treatment with the application of manure in an average annual rate of 10 t&amp;middot;ha-1. The model was also used to forecast SOC changes until 2090 for two contrasting RCP4.5 and RCP8.5 climatic scenarios. Until 2090, the steady growth of SOC stocks is expected in all compared treatments for both climate scenarios. This rate of growth was the highest until 2040, decreased in 2040-2070 and increased again in 2070-2090 for RCP4.5. The highest annual gain was within 21-27&amp;permil; under RCP4.5 and 16-21&amp;permil; in 2020-2040 in 0-20 cm soil layer. The expected accumulation of C allows increasing current C stock 1.6-1.7 times for RCP4.5 and 2.0-2.2 times for RCP8.5 scenario. 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