{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:24:48Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated. Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships) The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans. HLC_RUSLE.zip The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'. List of files included in HLC_RUSLE.zip: R_script_code named 'HLC_RUSLE'\u00a0in .rmd format Output folder: Figures folder: .png products of the R script code Rasters\u00a0folder: .png products of the R script code Tables\u00a0folder: .pdf\u00a0products of the R script code GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format Spatial statistics to reveal patterns and connections in the historic landscape The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'. It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229 Supplementary material_Land _SI_Historic Landscape Evolution.zip Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation. Project_Publications.zip List of .pdf file included in the folder:\u00a0 1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2) 2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305) 3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z) 4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10261/309244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:50Z", "type": "Report", "title": "Agricultural Land Degradation in the Czech Republic", "description": "Closed AccessI would like to thank the teams that worked on Tudi project no. 101000224, EU ITN SOPLAS project no. 955334, and on project no. LTC20001 \u201cFire effects on soils,\u201d which contributed to some of the results reported in this chapter.", "keywords": ["Land collectivization", "Soil sealing", "Wind erosion", "Soil erosion", "Wild fires", "Pesticides", "Soil compaction"], "contacts": [{"organization": "Zumr, David", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/309244"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309244", "name": "item", "description": "10261/309244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309244"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.10.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:43Z", "type": "Journal Article", "created": "2008-12-17", "title": "Assessment Of Tillage Erosion Rates On Steep Slopes In Northern Laos", "description": "Abstract In the hills of south-east Asia shifting cultivation is developing towards more permanent cropping systems. In association with short fallow periods, fields suffer from weed pressure and this, in turn, leads to more frequent and deeper manual tillage. Due to steep slopes these operations induce tillage erosion. Measurements of such soil losses under on-farm conditions are still scarce. In this study tillage erosion was assessed and a predictive model of tillage erosion was established based on slope angle and contact cover, i.e. basal crop area and weed cover. The experiments were conducted in the Houay Pano, Northern Laos. The farmers cultivate annual crops in rotation with 1\u20133 year fallow periods without external inputs and using only hand tools. Tillage erosion was assessed using the tracer method across nine slope classes (0.30\u20131.10\u00a0m\u00a0m \u22121 ) for two crops, upland rice and Job's tears ( Coix lacryma-jobi L.). Soil movement due to land preparation and weeding were assessed separately because different tools are used, a medium size hoe and a small curved hoe. A multivariate regression showed a highly significant relation ( R 2 \u00a0=\u00a00.83) between soil losses due to land preparation, slope gradient and contact cover. Predicting models of soil losses due to weeding were also highly significant ( R 2 \u00a0=\u00a00.79 for upland rice, R 2 \u00a0=\u00a00.88 for Job's tears), confirming the importance of tillage erosion on steep slopes (4, 6 and 11\u00a0t\u00a0ha \u22121 \u00a0year \u22121 on slopes with gradients of 0.30, 0.60 and 0.90\u00a0m\u00a0m \u22121 , respectively). Tillage erosion has increased exponentially over the last 40 years because of weed invasion associated with short fallow periods; the initially no-till system has changed into a system heavily dependent on tillage to control weeds and this greatly contributes to soil degradation.", "keywords": ["subsistence farming", "2. Zero hunger", "weed control", "Upland rice", "sloping land", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "erosion", "shifting cultivation", "Weed pressure", "01 natural sciences", "630", "Tillage erosion", "Steep slopes", "upland rice", "Job's tears", "tillage", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.10.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.10.005", "name": "item", "description": "10.1016/j.still.2008.10.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.10.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1007/s10980-020-00984-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:22Z", "type": "Journal Article", "created": "2020-03-10", "title": "Global vulnerability of soil ecosystems to erosion", "description": "Abstract Context

Soil erosion is one of the main threats driving soil degradation across the globe with important impacts on crop yields, soil biota, biogeochemical cycles, and ultimately human nutrition.

Objectives

Here, using an empirical model, we present a global and temporally explicit assessment of soil erosion risk according to recent (2001\uffe2\uff80\uff932013) dynamics of rainfall and vegetation cover change to identify vulnerable areas for soils and soil biodiversity.

Methods

We used an adaptation of the Universal Soil Loss Equation together with state of the art remote sensing models to create a spatially and temporally explicit global model of soil erosion and soil protection. Finally, we overlaid global maps of soil biodiversity to assess the potential vulnerability of these soil communities to soil erosion.

Results

We show a consistent decline in soil erosion protection over time across terrestrial biomes, which resulted in a global increase of 11.7% in soil erosion rates. Notably, soil erosion risk systematically increased between 2006 and 2013 in relation to the baseline year (2001). Although vegetation cover is central to soil protection, this increase was mostly driven by changes in rainfall erosivity. Globally, soil erosion is expected not only to have an impact on the vulnerability of soil conditions but also on soil biodiversity with 6.4% (for soil macrofauna) and 7.6% (for soil fungi) of these vulnerable areas coinciding with regions with high soil biodiversity.

Conclusions

Our results indicate that an increasing proportion of soils are degraded globally, affecting not only livelihoods but also potentially degrading local and regional landscapes. Similarly, many degraded regions coincide with and may have impacted high levels of soil biodiversity.Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.

The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.

A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.

The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359\u20134373).", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "aufbewahrungs-und-archivierungsplanung-aap-bund", "aumento-delle-precipitazioni", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "intensification-des-precipitations", "niederschlagserhohung", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "precipitation-enhancement", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.niederschlagserosivitaet/items/niederschlagserosivitaet-feb"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.niederschlagserosivitaet-feb"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.researchgate.net/publication/309429881_Regionalization_of_monthly_rainfall_erosivity_patterns_in_Switzerland"}, {"href": "http://data.europa.eu/88u/dataset/053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu", "name": "item", "description": "053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2019-06-27T00:00:00", "type": "Dataset", "title": "Monthly soil erosion risk maps for Swiss permanent grassland, with average soil loss in tons/(ha*month), July", "description": "Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion.", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "atmospharische-bedingungen", "atmospheric-conditions", "aufbewahrungs-und-archivierungsplanung-aap-bund", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conditions-atmospheriques", "condizioni-atmosferiche", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "gesundheit-und-sicherheit", "human-health-and-safety", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "salute-umana-e-sicurezza", "sante-et-securite-des-personnes", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.erosion-gruenland_bodenabtrag/items/erosion-gruenland_bodenabtrag_jul"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.erosion-gruenland_bodenabtrag_jul"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1585980"}, {"href": "http://data.europa.eu/88u/dataset/05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu", "name": "item", "description": "05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/05ab7dfa-9155-4575-a0a3-fdffd52f05d3-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-11T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC5510 Siegen", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 84 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes Frankfurt a.M.-West wurde der LBG-Datensatz von Siegen am s\u00fcdlichen Blattrand in Teilen ver\u00e4ndert (Stand 29. April 2008). Im Zuge der Bearbeitung des B\u00dcK200-Nachbarblattes K\u00f6ln wurde der LBG-Datensatz von Siegen am westlichen Blattrand angepasst. Die alte LE 58 aus der BGL 11.1 wurde der BGL 6.3 als neue LE 15 zugeordnet (Stand 23. Januar 2012). Im Rahmen der Qualit\u00e4tssicherung wurde der LBG-Datensatz von Siegen am \u00f6stlichen Blattrand leicht ver\u00e4ndert (Stand 03. Dezember 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "hessen", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "siegen", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/jpg/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/pdf/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/png/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/shp/buek200_5510.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/5510/tiff/buek200_5510.zip"}, {"href": "http://data.europa.eu/88u/dataset/06af1400-76f1-471a-a38f-2caffadedda8"}, {"rel": "self", "type": "application/geo+json", "title": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "name": "item", "description": "06AF1400-76F1-471A-A38F-2CAFFADEDDA8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06AF1400-76F1-471A-A38F-2CAFFADEDDA8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "06e73eeb-4581-7b33-e103-3a129093d809", "type": "Feature", "geometry": null, "properties": {"updated": "2025-03-13T00:00:00Z", "type": "Dataset", "title": "KWasser SL WMS 23/24 \u2013 K water erosion hazard class", "description": "The backdrop of erosion 2023/24 according to the CAP Conditionalities Regulation of 9. December 2022:Culture erosion 2023/24 according to the CAP Conditionalities Regulation of 9 December 2022 December 2022", "formats": [{"name": "WMS_SRVC"}], "keywords": ["boden", "ccw", "cross-compliance", "de", "erosion", "hvd", "infomapaccessservice", "inspireidentifiziert", "kwasser", "landwirtschaft", "opendata", "saarland"]}, "links": [{"href": "https://geoportal.saarland.de/mapbender/php/wms.php?inspire=1&layer_id=46709&withChilds=1&REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/06e73eeb-4581-7b33-e103-3a129093d809"}, {"rel": "self", "type": "application/geo+json", "title": "06e73eeb-4581-7b33-e103-3a129093d809", "name": "item", "description": "06e73eeb-4581-7b33-e103-3a129093d809", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/06e73eeb-4581-7b33-e103-3a129093d809"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-14T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC4702 D\u00fcsseldorf", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 88 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Rahmen der Qualit\u00e4tssicherung wurde der LBG-Datensatz von D\u00fcsseldorf am n\u00f6rdlichen Blattrand leicht ver\u00e4ndert (Stand 22. Juli 2013).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "nordrhein-westfalen", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/jpg/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/pdf/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/png/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/shp/buek200_4702.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/4702/tiff/buek200_4702.zip"}, {"href": "http://data.europa.eu/88u/dataset/0ffebed0-e30c-4f11-aea2-642221e908f5"}, {"rel": "self", "type": "application/geo+json", "title": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "name": "item", "description": "0FFEBED0-E30C-4F11-AEA2-642221E908F5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0FFEBED0-E30C-4F11-AEA2-642221E908F5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:22Z", "type": "Dataset", "language": "de", "title": "Potential risk of wind erosion on arable soils in Germany 1:1,000,000", "description": "The Potential Wind Erosion Risk map gives an overview of the exposure of arable soils to soil loss due to deflation in Germany. It is based on pedological and climatic factors. The method to predict the soil erosion risk is published in the DIN 19706:2002 and in the documentation of Ad-hoc-AG Boden (representing the soil experts of the geological services of the German federal states). For the application with soil maps, the method was adapted by the Federal Institute for Geosciences and Natural Resources (BGR).The land use stratified soil map of Germany at scale 1:1,000,000 was used as pedological input to the model. The mean annual wind speed at 10 meters above ground level of the period 1980-2000 (DWD) is used as well. The land use information is derived from CORINE land cover data set (2006).", "formats": [{"name": "PDF"}], "keywords": ["bodenabtrag", "bodenerosion-durch-wind", "bundesrepublik-deutschland", "de", "erosionsanfa\u0308lligkeit", "erosionsgefa\u0308hrdung", "inspireidentifiziert", "opendata", "sandsturm", "soil"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/pegwind1000/geotiff/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/jpg300/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/pdf/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/png150/pegwind1000_250_v10.zip"}, {"href": "https://download.bgr.de/bgr/Boden/pegwind1000/tiff300/pegwind1000_250_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/29944fe2-7dcc-4322-82ca-960ed066b6d3~~1"}, {"rel": "self", "type": "application/geo+json", "title": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "name": "item", "description": "0ced9e8f-81c0-11e3-b99b-8851fb422c62", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0ced9e8f-81c0-11e3-b99b-8851fb422c62"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0d41604c-c746-456d-ac96-2e183e7691b5", "type": "Feature", "geometry": null, "properties": {"updated": "2024-08-12T00:00:00", "type": "Dataset", "language": "de", "title": "Gebietsmonografie B\u00f6den im Sauer- und Siegerland", "description": "Die \u201eB\u00f6den im Sauer- und Siegerland\u201c fassen die Ergebnisse aus mehr als 50 Jahren Bodenkartierung des Geologischen Dienstes NRW zusammen. Nach einer Einf\u00fchrung in Naturraum und Klima sowie die Erd- und Landschaftsgeschichte werden Entstehung, Verbreitung, Eigenschaften und Nutzung der B\u00f6den und ihrer Substrate eingehend beschrieben. Dies erfolgt in unterschiedlichen Ma\u00dfstabsebenen und Karten von Bodenregionen \u00fcber Bodenlandschaften bis hin zu Leitbodengesellschaften mit ihren wichtigsten Bodenformen und Beispielprofilen. Erg\u00e4nzt werden diese durch Kennwerte zu Humusgehalten, Korngr\u00f6\u00dfen, pH-Werten, Basens\u00e4ttigungen u.v.m., f\u00fcr die die Analysenergebnisse von Tausenden von Bodenprofilen ausgewertet wurden. Hinweise zur Nutzung und Gef\u00e4hrdung der B\u00f6den sowie vorhandener Kartenwerke runden die Monografie ab.", "formats": [{"name": "PDF"}], "keywords": ["basensa\u0308ttigung", "boden", "bodenart", "bodeneigenschaften", "bodenentwicklung", "bodenerosion", "bodenform", "bodenfunktionen", "bodenkarte", "bodenkennwerte", "bodenkunde", "bodenlandschaft", "bodenschutz", "bodentyp", "cn-verha\u0308ltnis", "de", "ertragsfa\u0308higkeit", "faktoren-der-bodenbildung", "humusform", "humusgehalt", "korngro\u0308\u00dfen", "landschaftsgeschichte", "leitbodengesellschaft", "naturraum", "nutzungsgeschichte", "opendata", "ph-wert", "sauerland", "siegerland", "substrat", "versauerung", "waldboden"], "contacts": [{"organization": "Geologischer Dienst NRW", "roles": ["creator"]}]}, "links": [{"href": "https://www.gd.nrw.de/zip/pr_bs_boeden-siegerland-sauerland.pdf"}, {"href": "http://data.europa.eu/88u/dataset/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"rel": "self", "type": "application/geo+json", "title": "0d41604c-c746-456d-ac96-2e183e7691b5", "name": "item", "description": "0d41604c-c746-456d-ac96-2e183e7691b5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0d41604c-c746-456d-ac96-2e183e7691b5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0f71e68f-8c83-4371-8842-1a26abed1854", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.5, 47.25], [5.5, 55.2], [15.5, 55.2], [15.5, 47.25], [5.5, 47.25]]]}, "properties": {"updated": "2021-03-26", "type": "Service", "language": "ger", "title": "Land overview map of the Federal Republic of Germany 1:200.000 (WMS)", "description": "Web Map Service (WMS) of the B\u00dcK200 map sheets. The soil overview map 1:200,000 (B\u00dcK200) is compiled by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the State Geological Services (SGD) of the L\u00e4nder in the sheet section of the topographical overview map 1:200,000 (T\u00dcK200) and published in 55 individual map sheets. The digital, non-cutting data storage forms a detailed, nationwide uniform and comprehensive information basis for cross-border statements on land use and soil protection. The distribution and socialization of soils is currently described on a leaf-specific basis using leaf-laying units (divided by soil regions and large soil landscapes). Each legend unit contains soil systematic information (soil subtype) and information on the soil source rock for both the guide soils and their companions.", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Soil", "Bodenart", "Bodenauslaugung", "Bodenbearbeitung", "Bodenbelastung", "Bodenbildung", "Bodenbiologie", "Bodenchemie", "Bodendegradation", "Bodendekontamination", "Bodenerosion", "Bodenfeuchtigkeit", "Bodenfruchtbarkeit", "Bodenfunktion", "Bodengestaltung", "Bodeng\u00fcte", "Bodenkarte", "Bodenluft", "Bodenmechanik", "Bodenmineralogie", "Bodennutzbarkeit", "Bodennutzung", "ackerbauliches Ertragspotential", "Bodeneigenschaften", "Bodengef\u00fcge", "Bodengruppe", "Bodenhorizont", "bodenphysikalische Eigenschaften", "Bodenskelett", "Bodenverbreitung", "Durchl\u00e4ssigkeit", "effektive Durchwurzelungstiefe", "Bodenausgangsgestein", "Bodenform", "Bodengesellschaft", "Bodeninformationssystem", "Bodenprofil", "Bodensubstrat", "Bodensystematik", "Bodentyp", "Fachinformationssystem", "infoMapAccessService", "inspireidentifiziert", "opendata", "Deutschland", "National"], "contacts": [{"name": "Stegger, Ulrich", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Bodenart"}, {"id": "Bodenauslaugung"}, {"id": "Bodenbearbeitung"}, {"id": "Bodenbelastung"}, {"id": "Bodenbildung"}, {"id": "Bodenbiologie"}, {"id": "Bodenchemie"}, {"id": "Bodendegradation"}, {"id": "Bodendekontamination"}, {"id": "Bodenerosion"}, {"id": "Bodenfeuchtigkeit"}, {"id": "Bodenfruchtbarkeit"}, {"id": "Bodenfunktion"}, {"id": "Bodengestaltung"}, {"id": "Bodeng\u00fcte"}, {"id": "Bodenkarte"}, {"id": "Bodenluft"}, {"id": "Bodenmechanik"}, {"id": "Bodenmineralogie"}, {"id": "Bodennutzbarkeit"}, {"id": "Bodennutzung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "ackerbauliches Ertragspotential"}, {"id": "Bodeneigenschaften"}, {"id": "Bodengef\u00fcge"}, {"id": "Bodengruppe"}, {"id": "Bodenhorizont"}, {"id": "bodenphysikalische Eigenschaften"}, {"id": "Bodenskelett"}, {"id": "Bodenverbreitung"}, {"id": "Durchl\u00e4ssigkeit"}, {"id": "effektive Durchwurzelungstiefe"}], "scheme": "SGD-Liste"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "B\u00dcK200 (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/buek200/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/buek200", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://services.bgr.de/wms/boden/buek200/?"}, {"href": "https://download.bgr.de/bgr/boden/BUEK200/WMS/Beispielbild/buek200.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": "0f71e68f-8c83-4371-8842-1a26abed1854", "name": "item", "description": "0f71e68f-8c83-4371-8842-1a26abed1854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f71e68f-8c83-4371-8842-1a26abed1854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.1002/2014jg002635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:24Z", "type": "Journal Article", "created": "2014-11-18", "title": "Woody Plant Encroachment Into Grasslands Leads To Accelerated Erosion Of Previously Stable Organic Carbon From Dryland Soils", "description": "Abstract

Drylands worldwide are experiencing rapid and extensive environmental change, concomitant with the encroachment of woody vegetation into grasslands. Woody encroachment leads to changes in both the structure and function of dryland ecosystems and has been shown to result in accelerated soil erosion and loss of soil nutrients. Covering 40% of the terrestrial land surface, dryland environments are of global importance, both as a habitat and a soil carbon store. Relationships between environmental change, soil erosion, and the carbon cycle are uncertain. There is a clear need to further our understanding of dryland vegetation change and impacts on carbon dynamics. Here two grass\uffe2\uff80\uff90to\uffe2\uff80\uff90woody ecotones that occur across large areas of the southwestern United States are investigated. This study takes a multidisciplinary approach, combining ecohydrological monitoring of structure and function and a dual\uffe2\uff80\uff90proxy biogeochemical tracing approach using the unique natural biochemical signatures of the vegetation. Results show that following woody encroachment, not only do these drylands lose significantly more soil and organic carbon via erosion but that this includes significant amounts of legacy organic carbon which would previously have been stable under grass cover. Results suggest that these dryland soils may not act as a stable organic carbon pool, following encroachment and that accelerated erosion of carbon, driven by vegetation change, has important implications for carbon dynamics.

", "keywords": ["2. Zero hunger", "soil erosion", "info:eu-repo/classification/ddc/550", "550", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "soil carbon pool", "13. Climate action", "biogeochemical tracing", "woody encroachment", "0401 agriculture", " forestry", " and fisheries", "Geosciences", " Multidisciplinary", "dryland vegetation change", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/2014jg002635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2014jg002635", "name": "item", "description": "10.1002/2014jg002635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2014jg002635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-12-01T00:00:00Z"}}, {"id": "10.1002/9781118635797.ch8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:25Z", "title": "Biofuel Crops And Soil Quality And Erosion", "description": "Biofuel or energy crop production aims at maximizing the carbon (C) harvest for conversion into fuel. Since soils are involved in the processing chain the question, however, is if this conversion can be done without compromising soil quality. In this chapter we discuss the soil quality aspect of biofuel production. The production of biofuel crops might simultaneously affect a combination of soil properties and stipulating severe human-driven soil quality threats, out of which the decline of soil organic matter (SOM), the increase of erosion risks, and on and off-site pollution and nutrient losses are the most pronounced. We consider the differences between annual and perennial crops out of the effects of management and land-use change (LUC), including an issue of soil organic carbon (SOC) budget and sustainable removal of crop residues for energy production. Consequently, we discuss soil quality under biofuel crop production as affected by these threats to provide essential soil services. The challenges of the soil quality aspect of sustainable biofuel crop production, which include by-product management, soil remediation potential, and utilization of idle and degraded soils for biofuels, are also covered by this chapter", "keywords": ["soil erosion", "soil organic carbon (SOC)", "biofuel crops", "biofuel production", "soil quality", "land-use change (LUC)", "sustainability"]}, "links": [{"href": "https://doi.org/10.1002/9781118635797.ch8"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/9781118635797.ch8", "name": "item", "description": "10.1002/9781118635797.ch8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/9781118635797.ch8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1002/edn3.70124", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:14:29Z", "type": "Journal Article", "created": "2025-05-23", "title": "Environmental Gradients, Not Geographic Boundaries, Structure Meiofaunal Communities in Siberian Seas", "description": "ABSTRACT

Meiofauna (all invertebrates smaller than 1\uffe2\uff80\uff89mm) are not only sensitive to environmental changes but also contribute significantly to nutrient cycling and energy transfer to higher trophic levels. Despite their importance, meiofauna distribution and ecology in the Siberian seas remain understudied. Here, we employ sediment environmental DNA metabarcoding to characterize meiofauna diversity across the unexplored Siberian seas. We show that meiofauna community structure is primarily driven by river discharge and coastal erosion, which are heavily influenced by climate change, rather than geographical distinctions between the seas. We observed higher meiofauna diversity in nearshore areas where river plumes promoted colonizer nematode communities that are resilient to disturbances. Yet, their dominance may lead to decreased ecosystem stability in the future. This study provides a valuable baseline for meiofauna diversity in remote Siberian seas undergoing rapid environmental change, which will be useful for assessing the future direction and pace of benthic ecological trajectories.Organic carbon (OC) in permafrost interacts with the mineral fraction of soil and sediments, representing <\uffe2\uff80\uff891% to ~80% of the total OC pool. Quantifying the nature and controls of mineral\uffe2\uff80\uff93OC interactions is therefore crucial for realistic assessments of permafrost\uffe2\uff80\uff90carbon\uffe2\uff80\uff90climate feedbacks, especially in ice\uffe2\uff80\uff90rich regions facing rapid thaw and the development of thermo\uffe2\uff80\uff90erosion landforms. Here, we analyzed sediment samples from the Batagay megaslump in East Siberia, and we present total element concentrations, mineralogy, and mineral\uffe2\uff80\uff93OC interactions in its different stratigraphic units. Our findings indicate that up to 34\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff898% of the OC pool interacts with mineral surfaces or elements. Interglacial deposits exhibit enhanced OC\uffe2\uff80\uff93mineral interactions, where OC has undergone greater microbial transformation and has likely low degradability. We provide a first\uffe2\uff80\uff90order estimate of ~12,000 tons of OC mobilized annually downslope of the headwall (i.e., the approximate mass of 30 large aircrafts), with a maximum of 38% interacting with OC via complexation with metals or associations to poorly crystalline iron oxides. These data imply that over one\uffe2\uff80\uff90third of the OC exposed by the slump is not readily available for mineralization, potentially leading to prolonged OC residence time in soil and sediments under stable physicochemical conditions.Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.Soil erosion from agricultural fields is a persistent ecological problem, potentially leading to eutrophication of aquatic habitats in the catchment area. Often used and recommended mitigation measures are vegetated filter strips (VFS) as buffer zones between arable land and water bodies. However, if they are designed and managed poorly, nutrients \uffe2\uff80\uff94 especially phosphorus (P) \uffe2\uff80\uff94 may accumulate in the soil. Ultimately, VFS can switch from being a nutrient sink to a source. This problem is further aggravated if the field runoff does not occur as uniform sheet flow, but rather in concentrated form, as is usually the case. To assess the impact of concentrated flow on VFS performance, we have taken soil core samples from field-VFS transition zones at six sites in Lower Austria. We determined a multitude of physical and chemical soil parameters, focusing on P fractions and indices. Our results revealed that concentrated flow can lead to an accumulation of P in the VFS. P levels in the VFS inside the area of concentrated runoff can be equal to or higher than in the field, even though they receive no direct fertilization. However, the concentration and distribution of nutrients in the fields and VFSs were also site-specific and affected by local factors such as the age of the VFS, cropping, and fertilization. Accordingly, there is a need for more sophisticated, bespoke VFS designs that can cope with site-specific runoff volumes and movements of nutrients that occur.Climate warming is expected to destabilize permafrost carbon (PF\uffe2\uff80\uff90C) by thaw\uffe2\uff80\uff90erosion and deepening of the seasonally thawed active layer and thereby promote PF\uffe2\uff80\uff90C mineralization to CO2 and CH4. A similar PF\uffe2\uff80\uff90C remobilization might have contributed to the increase in atmospheric CO2 during deglacial warming after the last glacial maximum. Using carbon isotopes and terrestrial biomarkers (\uffce\uff9414C, \uffce\uffb413C, and lignin phenols), this study quantifies deposition of terrestrial carbon originating from permafrost in sediments from the Chukchi Sea (core SWERUS\uffe2\uff80\uff90L2\uffe2\uff80\uff904\uffe2\uff80\uff90PC1). The sediment core reconstructs remobilization of permafrost carbon during the late Aller\uffc3\uffb8d warm period starting at 13,000\uffc2\uffa0cal\uffc2\uffa0years before present (BP), the Younger Dryas, and the early Holocene warming until 11,000\uffc2\uffa0cal\uffc2\uffa0years BP and compares this period with the late Holocene, from 3,650\uffc2\uffa0years BP until present. Dual\uffe2\uff80\uff90carbon\uffe2\uff80\uff90isotope\uffe2\uff80\uff90based source apportionment demonstrates that Ice Complex Deposit\uffe2\uff80\uff94ice\uffe2\uff80\uff90 and carbon\uffe2\uff80\uff90rich permafrost from the late Pleistocene (also referred to as Yedoma)\uffe2\uff80\uff94was the dominant source of organic carbon (66\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08%; mean\uffc2\uffa0\uffc2\uffb1\uffc2\uffa0standard deviation) to sediments during the end of the deglaciation, with fluxes more than twice as high (8.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921) as in the late Holocene (3.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa01.0\uffc2\uffa0g\uffc2\uffb7m\uffe2\uff88\uff922\uffc2\uffb7year\uffe2\uff88\uff921). These results are consistent with late deglacial PF\uffe2\uff80\uff90C remobilization observed in a Laptev Sea record, yet in contrast with PF\uffe2\uff80\uff90C sources, which at that location were dominated by active layer material from the Lena River watershed. Release of dormant PF\uffe2\uff80\uff90C from erosion of coastal permafrost during the end of the last deglaciation indicates vulnerability of Ice Complex Deposit in response to future warming and sea level changes.