{"type": "FeatureCollection", "features": [{"id": "10.3390/su9030407", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:25:27Z", "type": "Journal Article", "created": "2017-03-09", "title": "The Impact of Policy Instruments on Soil Multifunctionality in the European Union", "description": "

Agricultural ecosystems provide a range of benefits that are vital to human well-being. These benefits are dependent on several soil functions that are affected in different ways by legislation from the European Union, national, and regional levels. We evaluated current European Union soil-related legislation and examples of regional legislation with regard to direct and indirect impacts on five soil functions: the production of food, fiber, and fuel; water purification and regulation; carbon sequestration and climate regulation; habitat for biodiversity provisioning; and the recycling of nutrients/agro-chemicals. Our results illustrate the diversity of existing policies and the complex interactions present between different spatial and temporal scales. The impact of most policies, positive or negative, on a soil function is usually not established, but depends on how the policy is implemented by local authorities and the farmers. This makes it difficult to estimate the overall state and trends of the different soil functions in agricultural ecosystems. To implement functional management and sustainable use of the different soil functions in agricultural ecosystems, more knowledge is needed on the policy interactions as well as on the impact of management options on the different soil functions.

", "keywords": ["2. Zero hunger", "regional legislation", "04 agricultural and veterinary sciences", "15. Life on land", "16. Peace & justice", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "Soil policy", "multifunctionality", "13. Climate action", "Soil function", "8. Economic growth", "Multifunctionality", "soil function", "0401 agriculture", " forestry", " and fisheries", "Regional legislation", "soil policy", "European legislation", "soil function; European legislation; regional legislation; multifunctionality; soil policy", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/9/3/407/pdf"}, {"href": "https://doi.org/10.3390/su9030407"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su9030407", "name": "item", "description": "10.3390/su9030407", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su9030407"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-09T00:00:00Z"}}, {"id": "10.3390/w10040464", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:25:27Z", "type": "Journal Article", "created": "2018-04-11", "title": "Identifying Feasible Locations for Wetland Creation or Restoration in Catchments by Suitability Modelling Using Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM)", "description": "

Wetlands play a key role in controlling flooding and non-point-source (diffuse) pollution. They are therefore an important tool for mitigating diffuse water pollution from farms. However, to use this tool, it is necessary to obtain detailed assessments and identification of potential wetland restoration or creation sites. This is complicated by the diversity of landscapes, environmental conditions, and land ownership. Site suitability for wetland restoration or creation depends on many factors: the underlying geology, soils, topography, hydrology, drainage, and land ownership. Local hydrology and soils are among the most important factors. However, the inventory and characterization of a site\uffe2\uff80\uff99s soils and hydrology often requires extensive, expensive, and time-consuming ground surveys, and it is therefore limited to small areas. Another possibility would be to consider topography, which strongly determines water movement patterns. Light detection and ranging (LiDAR) data provides detailed topographic information and can be acquired by remote sensing. Our study showed that terrain analysis using high-resolution topographical data can produce suitability maps for wetlands that can be easily used by decision makers and planners in watershed management. The rapid methodology reveals potential wetland creation or restoration sites at a reasonable cost; with the resulting spatially explicit suitability map, managers can plan for wetland creation or restoration without having to wait for field-data collection.

", "keywords": ["13. Climate action", "15. Life on land", "01 natural sciences", "spatial analysis; suitability analysis; spatial planning; watershed management; GIS; landscape planning", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/10/4/464/pdf"}, {"href": "https://doi.org/10.3390/w10040464"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w10040464", "name": "item", "description": "10.3390/w10040464", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w10040464"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-11T00:00:00Z"}}, {"id": "10.4995/cigeo2021.2021.12729", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:25:50Z", "type": "Journal Article", "created": "2021-10-11", "title": "Methodological proposal for the identification of marginal lands with remote sensing-derived products and ancillary data", "description": "

The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.

", "keywords": ["Cartography", "Land cover", "Cultural Heritage", "Cobertura de suelo", "3D Modelling", "11. Sustainability", "Teledetecci\u00f3n", "Environmental applications", "Uso de suelo", "2. Zero hunger", "Earth observation", "Tierra abandonada", "Remote sensing", "15. Life on land", "GIS", "SIG", "Geophysics", "Idle land", "13. Climate action", "Degradaci\u00f3n del suelo", "Land use", "Land degradation", "land use", " land cover", " idle land", " land degradation", " GIS", " remote sensing", " Google Earth Engine", "Geocomputing", "Google Earth Engine", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12729"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12729", "name": "item", "description": "10.4995/cigeo2021.2021.12729", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12729"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.5071/26theubce2018-1bv.8.26", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:26:12Z", "type": "Journal Article", "title": "Biomass Production and Feedstock Diversification for Advanced Biofuels: the BECOOL Project", "description": "Open AccessThe main objective of the BECOOL project \u201cBrazil-EU Cooperation for Development of Advanced Lignocellulosic Biofuels\u201d is to strengthen EU-Brazil cooperation on advanced lignocellulosic biofuels. The project covers the whole value chain, from biomass production, to logistics and conversion. In the BECOOL project, credible, cost-effective and sustainable value chains for several biomass types will be evaluated. The streamline along each value chain, from the raw material to the final energy product/carrier, will be identified, taking into account cultivation, harvesting, logistics and conversion technologies.This paper is focused on the implemented biomass production and diversification strategies.", "keywords": ["13. Climate action", "Biomass", "7. Clean energy", "Biomass assessment; Biomass logistics; Crop rotations; Perennial crops; Agronomy and Crop Science; Forestry; Renewable Energy", " Sustainability and the Environment; Waste Management and Disposal", "12. Responsible consumption"], "contacts": [{"organization": "Christou, M., Alexopoulou, E., Monti, A., Zegada-Lizarazu, W., Parenti, A., Carrasco, J., Ciria, C. S., Pari, L., Suardi, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/660228/1/Myrsini%20et%20al.%2c%202018.pdf"}, {"href": "https://doi.org/10.5071/26theubce2018-1bv.8.26"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%2026th%20European%20Biomass%20Conference%20and%20Exhibition", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5071/26theubce2018-1bv.8.26", "name": "item", "description": "10.5071/26theubce2018-1bv.8.26", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5071/26theubce2018-1bv.8.26"}, {"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": "10.5071/27theubce2019-1dv.3.1", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-25T16:26:12Z", "type": "Report", "title": "Sustainable Biomass Feedstock Options for Advanced Biofuels", "description": "Closed AccessProceedings of the 27th European Biomass Conference and Exhibition, 27-30 May 2019, Lisbon, Portugal, pp. 276-280", "keywords": ["Biomass assessment; Biomass logistics; Crop rotations; Perennial crops", "13. Climate action", "11. Sustainability", "Biomass", "7. Clean energy", "12. Responsible consumption"], "contacts": [{"organization": "Christou M., Alexopoulou E., Monti A., Zegada-Lizarazu W., Parenti A., Carrasco J., Ciria C. S., Pari L., Suardi A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5071/27theubce2019-1dv.3.1"}, {"rel": "self", "type": "application/geo+json", "title": "10.5071/27theubce2019-1dv.3.1", "name": "item", "description": "10.5071/27theubce2019-1dv.3.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5071/27theubce2019-1dv.3.1"}, {"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": "10.5220/0009169301030110", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:26:42Z", "type": "Journal Article", "created": "2020-03-19", "title": "Two-step Multi-spectral Registration Via Key-point Detector and Gradient Similarity: Application to Agronomic Scenes for Proxy-sensing", "description": "The potential of multi-spectral images is growing rapidly in precision agriculture, and is currently based on the use of multi-sensor cameras. However, their development usually concerns aerial applications and their parameters are optimized for high altitudes acquisition by drone (UAV \u2248 50 meters) to ensure surface coverage and reduce technical problems. With the recent emergence of terrestrial robots (UGV), their use is diverted for nearby agronomic applications. Making it possible to explore new agronomic applications, maximizing specific traits extraction (spectral index, shape, texture \u2026) which requires high spatial resolution. The problem with these cameras is that all sensors are not aligned and the manufacturers\u2019 methods are not suitable for close-field acquisition, resulting in offsets between spectral images and degrading the quality of extractable informations. We therefore need a solution to accurately align images in such condition. In this study we propose a two-steps method applied to the six-bands Airphen multi-sensor camera with (i) affine correction using pre-calibrated matrix at different heights, the closest transformation can be selected via internal GPS and (ii) perspective correction to refine the previous one, using key-points matching between enhanced gradients of each spectral bands. Nine types of key-point detection algorithms (ORB, GFTT, AGAST, FAST, AKAZE, KAZE, BRISK, SURF, MSER) with three different modalities of parameters were evaluated on their speed and performances, we also defined the best reference spectra on each of them. The results show that GFTT is the most suitable methods for key-point extraction using our enhanced gradients, and the best spectral reference was identified to be the band centered on 570 nm for this one. Without any treatment the initial error is about 62 px, with our method, the remaining residual error is less than 1 px, where the manufacturer\u2019s involves distortions and loss of information with an estimated residual error of approximately 12 px", "keywords": ["03 medical and health sciences", "0302 clinical medicine", "Registration", "Registration", " Multi-spectral imagery", " Precision farming", " Feature descriptor", "0202 electrical engineering", " electronic engineering", " information engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Precision farming", "Feature descriptor", "Multi-spectral imagery", "02 engineering and technology", "15. Life on land", "[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing"]}, "links": [{"href": "https://doi.org/10.5220/0009169301030110"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%2015th%20International%20Joint%20Conference%20on%20Computer%20Vision%2C%20Imaging%20and%20Computer%20Graphics%20Theory%20and%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5220/0009169301030110", "name": "item", "description": "10.5220/0009169301030110", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5220/0009169301030110"}, {"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": "10.5281/zenodo.10927880", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:27:06Z", "type": "Dataset", "title": "Raw data for the submitted manuscript entitled \"Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis\"", "description": "Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution.\u00a0 This file concerns plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. Two improved scenarios were considered, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives.", "keywords": ["plastic waste management", "plastic pollution", "agricultural plastic waste", "GIS", "plastic detection"], "contacts": [{"organization": "Vox, Giuliano, Convertino, Fabiana, Hachem, Ali,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10927880"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10927880", "name": "item", "description": "10.5281/zenodo.10927880", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10927880"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10927881", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:27:06Z", "type": "Dataset", "title": "Raw data for the submitted manuscript entitled \"Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis\"", "description": "Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution.\u00a0 This file concerns plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. Two improved scenarios were considered, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives.", "keywords": ["plastic waste management", "plastic pollution", "agricultural plastic waste", "GIS", "plastic detection"], "contacts": [{"organization": "Vox, Giuliano, Convertino, Fabiana, Hachem, Ali,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10927881"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10927881", "name": "item", "description": "10.5281/zenodo.10927881", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10927881"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10928001", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:27:06Z", "type": "Dataset", "title": "Raw data for the submitted manuscript entitled \"Mapping and Disposal of Irrigation Pipes for a Sustainable Management of Agricultural Plastic Waste\", authors Ileana Blanco, Giuliano Vox, Fabiana Convertino, and Evelia Schettini", "description": "The file regards the evaluation of plastic indexes and agricultural plastic waste quantities in Apulia region due to the use of irrigation pipes. The data is used to identify the critical areas for plastic waste production due to irrigation pipes.", "keywords": ["Land use", "agricultural plastic waste", "Plastic detection", "GIS", "Waste management", "Waste maps"], "contacts": [{"organization": "Schettini, Evelia, Vox, Giuliano, Convertino, Fabiana, Blanco, Ileana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10928001"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10928001", "name": "item", "description": "10.5281/zenodo.10928001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10928001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-04T00:00:00Z"}}, {"id": "10.5281/zenodo.10928002", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:27:06Z", "type": "Dataset", "title": "Raw data for the submitted manuscript entitled \"Mapping and Disposal of Irrigation Pipes for a Sustainable Management of Agricultural Plastic Waste\", authors Ileana Blanco, Giuliano Vox, Fabiana Convertino, and Evelia Schettini", "description": "The file regards the evaluation of plastic indexes and agricultural plastic waste quantities in Apulia region due to the use of irrigation pipes. The data is used to identify the critical areas for plastic waste production due to irrigation pipes.", "keywords": ["Land use", "agricultural plastic waste", "Plastic detection", "GIS", "Waste management", "Waste maps"], "contacts": [{"organization": "Schettini, Evelia, Vox, Giuliano, Convertino, Fabiana, Blanco, Ileana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10928002"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10928002", "name": "item", "description": "10.5281/zenodo.10928002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10928002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-04T00:00:00Z"}}, {"id": "11586/416233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:31:49Z", "type": "Journal Article", "created": "2023-01-02", "title": "Prospective Scenarios for Addressing the Agricultural Plastic Waste Issue: Results of a Territorial Analysis", "description": "

Agricultural activities have been positively affected by the use of plastic products, but this has resulted in the production of plastic waste and led to an increase in environmental pollution. To continue benefiting from the use of plastics but addressing at the same time the environmental issue, two strategies seem viable: the development of technologies for extending plastics lifespan and the gradual replacement of traditional non-biodegradable materials by biodegradable ones, at least for some products. This study focuses on a territorial analysis, performed using a Geographic Information System (GIS) in an agricultural area of the Apulia region (southern Italy). Areas of agricultural plastic waste production were identified through land-use maps. The application of plastic waste indices to different crop types and plastic products allowed quantifying and georeferencing actual plastic waste production. From this actual visualization, the other strategies were obtained by properly managing the indices. Two improved scenarios were obtained, the first consisted of extending the lifespan of some plastics, and the second entailed the introduction of some biodegradable alternatives. About 11,103 tons of agricultural plastic waste are yearly produced in the area and 7450 tons come from covering films. Lifespan extension would reduce the annual waste amount by about 25%, while more alternative products are needed to achieve significant results in the second scenario.

", "keywords": ["Technology", "QH301-705.5", "QC1-999", "plastic detection", "01 natural sciences", "12. Responsible consumption", "11. Sustainability", "Biology (General)", "QD1-999", "0105 earth and related environmental sciences", "2. Zero hunger", "products lifespan", "T", "Physics", "sustainability; GIS; land use; plastic detection; waste management; biodegradable plastic; products lifespan", "land use", "04 agricultural and veterinary sciences", "biodegradable plastic", "15. Life on land", "sustainability", "GIS", "Engineering (General). Civil engineering (General)", "Chemistry", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "waste management", "TA1-2040"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://www.mdpi.com/2076-3417/13/1/612/pdf"}, {"href": "https://doi.org/11586/416233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/416233", "name": "item", "description": "11586/416233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/416233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-02T00:00:00Z"}}, {"id": "10.5281/zenodo.14224477", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:27:47Z", "type": "Report", "title": "Policy conditions and catalogues of existing soil health economic and policy incentives", "description": "The issue of soil health is increasingly at the center of public and political discourse at European and national level. The social and environmental cost of soil degradation is estimated at EUR 50 billion per year in Europe alone, demonstrating the importance of soil in sustaining livelihoods, supporting biodiversity, and regulating the Earth's climate.1 To date, efforts to place a monetary value on the ecosystem services provided by healthy soil have been rare.2 It is crucial to reconsider the concept of healthy soil and to make the business community, politicians and public administration see soil as an investment opportunity for high quality services that are environmentally and resource friendly.Regulatory policies, legislative frameworks, financial instruments, and economic models are the key tools to promote and facilitate public and private investment in healthy soil. In particular, the review of the policy and legislative framework at different scales of government offers an opportunity to understand the mechanisms to encourage the maintenance and further diffusion of techniques that improve soil health. A greater understanding of the actual effects of policies and incentives on soil health will improve understanding of the effectiveness of policies and incentives to maintain and restore soil health and will also serve as a basis for developing and improving the implementation of soil health policies and certification schemes.The InBestSoil project aims to co-create a framework for investments in soil health preservation and restoration by developing a system for the economic valuation of the ecosystem services provided by healthy soil and the impacts of soil interventions, and its incorporation into business models and incentives. By analyzing policy requirements, barriers and enabling factors, as well as economic incentive programs aiming at sustainable soil management and preservation/restoration of soil health, the existing policies and economic incentives for soil health were reviewed through horizontal mapping and semi-structured interview mapping. The analysis helps to establish what types of methods are used to assess the effectiveness of soil intervention methods, the models and indicator analyses performed and other types of factors influencing the performance of public and private investment promotion in soil health.", "keywords": ["financial instruments", "soil health", "incentive programmes", "Political policies", "legislation"], "contacts": [{"organization": "Guidi, Caterina, Mysiak, Jaroslav, Melinato, Soraya, Celotto, Stefano, Colucci, Matteo, Miksza, Katarzyna, Calderaro, Chiara, Giannuzzi, Valeria,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14224477"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14224477", "name": "item", "description": "10.5281/zenodo.14224477", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14224477"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-26T00:00:00Z"}}, {"id": "10.5281/zenodo.6906803", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:29:20Z", "type": "Other", "title": "Toepassing van nieuwe beheerspraktijken om de productie en de kwaliteit van de gewassen te verbeteren", "description": "Toepassing van nieuwe beheerspraktijken om de productie en de kwaliteit van de gewassen te verbeteren This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["Bodem", " sociaaleconomisch", " biodiversiteit", " beheer", " systemen", " gewassen", " pedoklimatologisch", " case studies", " productie", " agrovoeding", "Bodem", " sociaaleconomisch", " biodiversiteit", " beheer", " systemen", " gewassen", " pedoklimatologisch", " case studies", " productie", " agrovoeding"], "contacts": [{"organization": "Waeyenberge, Lieven", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6906803"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6906803", "name": "item", "description": "10.5281/zenodo.6906803", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6906803"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-29T00:00:00Z"}}, {"id": "10.5281/zenodo.17618045", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:28:53Z", "type": "Dataset", "title": "Khuzestan Agricultural Land Use Change Dataset (2018\u20132023)", "description": "This dataset contains 116 agricultural soil and land-use sample points across Khuzestan Province (2018\u20132023). Data include field-measured organic carbon (OC), land-use classes, NDVI/NDWI indices, and spatial coordinates in WGS84. The dataset was prepared to support deep-learning modeling (ConvLSTM) for agricultural land-use change prediction. All files are provided in CSV, GeoJSON, and Shapefile formats to ensure reproducibility of the study.", "keywords": ["Khuzestan", " land use change", " ConvLSTM", " soil data", " remote sensing", " GIS", " Iran"], "contacts": [{"organization": "Makiani, M.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17618045"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17618045", "name": "item", "description": "10.5281/zenodo.17618045", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17618045"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-01T00:00:00Z"}}, {"id": "10.5281/zenodo.2525553", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:28:56Z", "type": "Dataset", "title": "Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution", "description": "Open AccessSoil organic carbon content in \u00d7 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. The maps are provided using Byte type to significantly reduce file size. Predicted from a global compilation of soil points. Also available for download: soil organic stock maps in in kg / m2 (https://doi.org/10.5281/zenodo.1475453) and bulk density maps in kg / m3 (https://doi.org/10.5281/zenodo.1475970). Processing steps are described in detail here. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using 'COMPRESS=DEFLATE' creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950\u20132017, v0.2 = version number: 0.2,", "keywords": ["2. Zero hunger", "LandGIS", "13. Climate action", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, Tomislav, Ichsani Wheeler,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2525553"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2525553", "name": "item", "description": "10.5281/zenodo.2525553", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2525553"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.2529721", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:28:57Z", "type": "Dataset", "title": "Soil organic carbon stock (0\u201330 cm) in kg/m2 time-series 2001\u20132015 based on the land cover changes", "description": "Open Access{'references': ['Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0.']}", "keywords": ["LandGIS", "land cover", "13. Climate action", "15. Life on land", "soil carbon loss", "soil"], "contacts": [{"organization": "Ichsani Wheeler, Hengl, Tomislav,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2529721"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2529721", "name": "item", "description": "10.5281/zenodo.2529721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2529721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.2536040", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:28:57Z", "type": "Dataset", "title": "Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0\u201310, 10\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm) at 250 m resolution", "description": "Open AccessSoil organic carbon stock in kg/m2 for 5 standard depth intervals (0\u201310, 10\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm) at 250 m resolution. To convert to t/ha multiply by 10. Derived using soil organic carbon content (https://doi.org/10.5281/zenodo.1475457), bulk density (https://doi.org/10.5281/zenodo.1475970) and coarse fragments (https://doi.org/10.5281/zenodo.2525681), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10\u201315% lower then reported. Processing steps are described in detail here. Antarctica is not included. To access and visualize maps use: https://openlandmap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using 'COMPRESS=DEFLATE' creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..10cm = vertical reference: 0-10 cm layer below surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,", "keywords": ["LandGIS", "13. Climate action", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, Tomislav, Wheeler, Ichsani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2536040"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2536040", "name": "item", "description": "10.5281/zenodo.2536040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2536040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-24T00:00:00Z"}}, {"id": "10.5281/zenodo.3465229", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:29:00Z", "type": "Report", "created": "2019-10-23", "title": "3D geological model reconstruction for liquefaction hazard assessment in the Po Plain", "description": "Proceedings of the VII ICEGE 7th International Conference on Earthquake Geotechnical Engineering, Rome, Italy, 17-20 June 2019.", "keywords": ["dynamic", "550", "earthquake; site effects; topographic effect", "0211 other engineering and technologies", "600", "02 engineering and technology", "624", "laboratory tests", "name=General Earth and Planetary Sciences", "620", "site effects", " Central italy earthquake 2016", " Amatrice", "2-D numerical models", " GIS", "0201 civil engineering", "3D Geological model", " liquefaction hazard", " earthquake", " Po Plain.", "/dk/atira/pure/subjectarea/asjc/1900/1900", "name=General Environmental Science", "sandy", "/dk/atira/pure/subjectarea/asjc/2300/2300"], "contacts": [{"organization": "C. Meisina, R. Boni\u0300, M. Bordoni, C. Lai, A. Fama\u0300, F. Bozzoni, R. M. Cosentini, D. Castaldini, D. Fontana, S. Lugli, A. Ghinoi, L. Martelli, P. Severi,", "roles": ["creator"]}]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/386431/2/ch385.pdf"}, {"href": "https://doi.org/10.5281/zenodo.3465229"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465229", "name": "item", "description": "10.5281/zenodo.3465229", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465229"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-22T00:00:00Z"}}, {"id": "10.5281/zenodo.4541586", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:29:07Z", "type": "Dataset", "title": "SoilKsatDB: global compilation of soil saturated hydraulic conductivity measurements for geoscience applications", "description": "Open AccessA total of 13,258 Ksat measurements from 1,908 sites were assembled from the published literature and other sources, standardized, and quality-checked in order to obtain a global database of soil saturated hydraulic conductivity (SoilKsatDB). The SoilKsatDB covers most global regions, with the highest data density from North America, followed by Europe, Asia, South America, Africa, and Australia. In addition to Ksat, other soil variables such as soil texture (11,584 measurements), bulk density (11,262 measurements), soil organic carbon (9,787 measurements), field capacity (7,382) and wilting point (7,411) are also included in the data set. To cite this dataset please use: Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., and Or, D.: SoilKsatDB: global soil saturated hydraulic conductivity measurements for geoscience applications, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-149, in review, 2021. Examples of using the SoilKsatDB to generate global maps of Ksat can be found in: Gupta, S., Hengl, T., Lehmann, P., Bonetti, S., Papritz, A. and Or, D. (2021): Global prediction of soil saturated hydraulic conductivity using random forest in a Covariate-based Geo Transfer Functions (CoGTF) framework. accepted for publication in Journal of Advances in Modeling Earth Systems (JAMES). Importing and binding steps are described in detail here. To report an issue or bug please use this link. Ksat data tutorial explaining how to access and use data is available here. In the following, we introduce two different file packages, one for the soil saturated hydraulic conductivity (\u201csol_ksat\u201d) and another one collecting additional soil hydraulic properties (\u201csol_hydro\u201d) as well that will be extended in the near future. Note that the package \u201csol_hydro\u201d is not related to the publication listed above (Gupta et al., 2021a). Description of the files: The datasets in this repository include: sol_ksat.pnts_horizons.***: provides a global compilation of Ksat values and the information described in Table 2 in Gupta et al., (2020). This data is provided in three different data formats. sol_ksat.pnts_horizons.arff, sol_ksat.pnts_horizons.csv.gz, sol_ksat.pnts_horizons.rds, sol_ksat.pnts_metadata_cl_pedo.csv: provides meta-information with Ksat methods and information of estimated soil pedologic unit and climatic region for each Ksat sample. sol_ksat.points_horizons_rm.rds: All ksat values overlaid on climatic, topographic, and vegetation based remote sensing data and extracted the corresponding values. These datasets can be used for spatial modeling for the future. In addition to Ksat points, add these files here as well for the reader that is interested in this topic. sol_hydro.pnts_horizons.***: provides water retention curve values and other soil hydraulic properties. This data is provided in three different data formats. sol_hydro.pnts_horizons.arff, sol_hydro.pnts_horizons.csv.gz, sol_hydro.pnts_horizons.rds, sol_hydro.pnts_horizons_rm.rds: All soil hydraulic values overlaid on climatic, topographic, and vegetation based remote sensing data and extracted the corresponding values. These datasets can be used for spatial modeling for the future. SoilKsatDB is available in CSV, ARFF and RDS formats. ARFF was prepared using the farff package for R. ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. Column codes are based on the National Cooperative Soil Survey (NCSS) Soil Characterization Database naming convention (see 'README.pdf' for explanation of codes). The SoilKsatDB is a compilation of numerous existing datasets from which the most significant: SWIG data set (Rahmati et al., 2018), UNSODA (Leij et al., 1996), and HYBRAS (Ottoni et al., 2018). Full list of data sources for Ksat data is available in Gupta et al (2021) and in the Readme.pdf.", "keywords": ["Ecology", "Science Policy", "Information Systems not elsewhere classified", "Plant Biology", "hydrology", "clay", "15. Life on land", "Microbiology", "6. Clean water", "soil", "Sociology", "LandGIS", "OpenLandMap", "Genetics", "hydraulic conductivity", "Biological Sciences not elsewhere classified"], "contacts": [{"organization": "Surya, Gupta, Hengl, Tomislav, Lehmann, Peter, Bonetti, Sara, Or, Dani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4541586"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4541586", "name": "item", "description": "10.5281/zenodo.4541586", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4541586"}, {"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": "10.5281/zenodo.5770286", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:29:13Z", "type": "Journal Article", "created": "2021-08-18", "title": "UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)", "description": "

Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digitalizing ecological studies in Serbia, remote-sensing-based land cover classification has become a key component for both current and future research. Object-based land cover classification, using machine learning algorithms of very high resolution (VHR) imagery acquired by an unmanned aerial vehicle (UAV) was carried out in three different study sites on Mt. Stara Planina, Eastern Serbia. UAV land cover classified maps with seven land cover classes (trees, shrubs, meadows, road, water, agricultural land, and forest patches) were studied. Moreover, three different classification algorithms\u2014support vector machine (SVM), random forest (RF), and k-NN (k-nearest neighbors)\u2014were compared. This study shows that the random forest classifier performs better with respect to the other classifiers in all three study sites, with overall accuracy values ranging from 0.87 to 0.96. The overall results are robust to changes in labeling ground truth subsets. The obtained UAV land cover classified maps were compared with the Map of the Natural Vegetation of Europe (EPNV) and used to quantify habitat degradation and assess hoverfly species richness. It was concluded that the percentage of habitat degradation is primarily caused by anthropogenic pressure, thus affecting the richness of hoverfly species in the study sites. In order to enable research reproducibility, the datasets used in this study are made available in a public repository.

", "keywords": ["Map of the Natural Vegetation of Europe", "Orfeo ToolBox", "unmanned aerial vehicle; object-based image analysis; Orfeo ToolBox; QGIS; random forest; hoverfly; Map of the Natural Vegetation of Europe", "Science", "Q", "0211 other engineering and technologies", "Unmanned aerial vehicle", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Object-based image analysis", "Map of the Natural Vegetation of Europe", "13. Climate action", "unmanned aerial vehicle", "object-based image analysis", "Hoverfly", "QGIS", "random forest", "Random forest", "hoverfly", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3272/pdf"}, {"href": "https://doi.org/10.5281/zenodo.5770286"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5770286", "name": "item", "description": "10.5281/zenodo.5770286", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5770286"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "10.60692/2ezcc-55g95", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:30:30Z", "type": "Journal Article", "created": "2021-11-28", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "

Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.

", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.60692/2ezcc-55g95"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/2ezcc-55g95", "name": "item", "description": "10.60692/2ezcc-55g95", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/2ezcc-55g95"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10.5943/mycosphere/14/1/23", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:30:29Z", "type": "Journal Article", "created": "2024-03-21", "title": "Global consortium for the classification of fungi and fungus-like taxa", "description": "The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, \u2018to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation\u2019, or \u2018are there too many genera in the Boletales?\u2019 and even more importantly, \u2018what should be done with the tremendously diverse \u2018dark fungal taxa?\u2019 There are undeniable differences in mycologists\u2019 perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based on scientific evidence with regards to nomenclature, classifications, and taxonomic concepts will be welcomed, and any recommendations on specific taxonomic issues will also be encouraged; however, we will encourage professionally and ethically responsible criticisms of others\u2019 work. This biannual ongoing project will provide an outlet for advances in various topics of fungal classification, nomenclature, and taxonomic concepts and lead to a community-agreed classification scheme for the fungi and fungus-like taxa. Interested parties should contact the lead author if they would like to be involved in future outlines.", "keywords": ["[SDE] Environmental Sciences", "570", "Biologisk systematik", "scientific criticism", "Evolution", "[SPI] Engineering Sciences [physics]", "[SDV]Life Sciences [q-bio]", "Plant Science", "Biological Systematics", "[SPI]Engineering Sciences [physics]", "taxonomy", "Behavior and Systematics", "taksonomia", "580", "Ecology", "klasyfikacja", "classification", " nomenclature", " scientific criticism", " taxonomy", "Botany", "Botanik", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "15. Life on land", "classification; nomenclature; scientific criticism; taxonomy", "naukowy krytycyzm", "nomenklatura", "[STAT] Statistics [stat]", "[STAT]Statistics [stat]", "[SDV] Life Sciences [q-bio]", "classification", "[SDE]Environmental Sciences", "nomenclature", "QK01 Systematic botany / n\u00f6v\u00e9nyrendszertan"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3509765/2/5.%20Hyde%20et%20al%202023.pdf"}, {"href": "https://doi.org/10.5943/mycosphere/14/1/23"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mycosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5943/mycosphere/14/1/23", "name": "item", "description": "10.5943/mycosphere/14/1/23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5943/mycosphere/14/1/23"}, {"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": "10037/33301", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:30:56Z", "type": "Journal Article", "created": "2024-03-21", "title": "Global consortium for the classification of fungi and fungus-like taxa", "description": "The Global Consortium for the Classification of Fungi and fungus-like taxa is an international initiative of more than 550 mycologists to develop an electronic structure for the classification of these organisms. The members of the Consortium originate from 55 countries/regions worldwide, from a wide range of disciplines, and include senior, mid-career and early-career mycologists and plant pathologists. The Consortium will publish a biannual update of the Outline of Fungi and fungus-like taxa, to act as an international scheme for other scientists. Notes on all newly published taxa at or above the level of species will be prepared and published online on the Outline of Fungi website (https://www.outlineoffungi.org/), and these will be finally published in the biannual edition of the Outline of Fungi and fungus-like taxa. Comments on recent important taxonomic opinions on controversial topics will be included in the biannual outline. For example, \u2018to promote a more stable taxonomy in Fusarium given the divergences over its generic delimitation\u2019, or \u2018are there too many genera in the Boletales?\u2019 and even more importantly, \u2018what should be done with the tremendously diverse \u2018dark fungal taxa?\u2019 There are undeniable differences in mycologists\u2019 perceptions and opinions regarding species classification as well as the establishment of new species. Given the pluralistic nature of fungal taxonomy and its implications for species concepts and the nature of species, this consortium aims to provide a platform to better refine and stabilise fungal classification, taking into consideration views from different parties. In the future, a confidential voting system will be set up to gauge the opinions of all mycologists in the Consortium on important topics. The results of such surveys will be presented to the International Commission on the Taxonomy of Fungi (ICTF) and the Nomenclature Committee for Fungi (NCF) with opinions and percentages of votes for and against. Criticisms based on scientific evidence with regards to nomenclature, classifications, and taxonomic concepts will be welcomed, and any recommendations on specific taxonomic issues will also be encouraged; however, we will encourage professionally and ethically responsible criticisms of others\u2019 work. This biannual ongoing project will provide an outlet for advances in various topics of fungal classification, nomenclature, and taxonomic concepts and lead to a community-agreed classification scheme for the fungi and fungus-like taxa. Interested parties should contact the lead author if they would like to be involved in future outlines.", "keywords": ["[SDE] Environmental Sciences", "570", "Biologisk systematik", "scientific criticism", "Evolution", "[SPI] Engineering Sciences [physics]", "[SDV]Life Sciences [q-bio]", "0607 Plant Biology", "Plant Science", "Biological Systematics", "Mycology", "FATTY-ACID-COMPOSITION", "[SPI]Engineering Sciences [physics]", "taxonomy", "Behavior and Systematics", "DNA-SEQUENCE DATA", "taksonomia", "Biowissenschaften; Biologie", "NOMENCLATURE", "INCORPORATING ANAMORPHIC FUNGI", "NATURAL CLASSIFICATION", "TREE", "580", "Science & Technology", "Ecology", "IDENTIFICATION", "klasyfikacja", "classification", " nomenclature", " scientific criticism", " taxonomy", "Botany", "Botanik", "15. Life on land", "classification; nomenclature; scientific criticism; taxonomy", "naukowy krytycyzm", "nomenklatura", "[STAT] Statistics [stat]", "SPECIES RECOGNITION", "[STAT]Statistics [stat]", "[SDV] Life Sciences [q-bio]", "3107 Microbiology", "classification", "[SDE]Environmental Sciences", "3108 Plant biology", "nomenclature", "LEVEL PHYLOGENETIC CLASSIFICATION", "Life Sciences & Biomedicine", "LEAF-LITTER", "QK01 Systematic botany / n\u00f6v\u00e9nyrendszertan", "0605 Microbiology"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3509765/2/5.%20Hyde%20et%20al%202023.pdf"}, {"href": "https://doi.org/10037/33301"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mycosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10037/33301", "name": "item", "description": "10037/33301", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10037/33301"}, {"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": "10.7910/DVN/HSV1ET", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:30:52Z", "type": "Dataset", "title": "Supplemental Table 1.", "description": "Open AccessSupplemental Table 1. Stats in Excel for cross-country comparison.", "keywords": ["Earth and Environmental Sciences", "Area", "Mangrove", "GIS", "Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HSV1ET"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HSV1ET", "name": "item", "description": "10.7910/DVN/HSV1ET", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HSV1ET"}, {"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/SQI3IR", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:30:53Z", "type": "Dataset", "title": "GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 and 2012, 1 Arc-Second, 1 m Soil, low, mid, high, EQ1, EQ2, EQ3, EQ4, EQ5.

These are large file and we needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no Tiffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/SQI3IR"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/SQI3IR", "name": "item", "description": "10.7910/DVN/SQI3IR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/SQI3IR"}, {"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": "10023/27354", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:30:55Z", "type": "Journal Article", "created": "2023-03-27", "title": "Modelling the impact of historic landscape change on soil erosion and degradation", "description": "Abstract

International policies and guidelines often highlight the divide between \uffe2\uff80\uff98nature\uffe2\uff80\uff99 and \uffe2\uff80\uff98heritage\uffe2\uff80\uff99 in landscape management, and the weakness of monodisciplinary approaches. This study argues that historic agricultural practices have played a key role in shaping today\uffe2\uff80\uff99s landscapes, creating a heritage which affords opportunities for more sustainable landscape management. The paper develops a new interdisciplinary approach with particular reference to soil loss and degradation over the long term. It presents innovative methods for assessing and modelling how pre-industrial agricultural features can mitigate soil erosion risk in response to current environmental conditions. Landscape archaeology data presented through Historic Landscape Characterisation are integrated in a GIS-RUSLE model to illustrate the impact of varying historic land-uses on soil erosion. The resulting analyses could be used to inform strategies for sustainable land resource planning.1. Outbreaks of herbivorous insects can have large impacts on regional soil carbon (C) storage and nutrient cycling. In northernmost Europe, population outbreaks of several geometrid moth species regularly cause large\uffe2\uff80\uff90scale defoliation in subarctic birch forests. An improved understanding is required of how leaf C and nutrients are processed after ingestion by herbivores and what this means for the quantity and quality of different materials produced (frass, bodies).

2. In this study, larvae of two geometrid species responsible for major outbreaks ( Epirrita autumnata and Operophtera brumata ) were raised on exclusive diets of Betula pubescens var. czerepanovii (N. I. Orlova) H\uffc3\uffa4met Ahti and two other abundant understorey species ( Betula nana , Vaccinium myrtillus ). The quantities of C, nitrogen (N) and phosphorus (P) ingested and allocated to frass, bodies and (in the case of C) respired were recorded.

3. Overall, 23%, 70% and 48% of ingested C, N and P were allocated to bodies, respectively, rather than frass and (in the case of C) respiration. Operophtera brumata consistently maintained more constant body stoichiometric ratios of C, N and P than did E. autumnata , across the wide variation in physico\uffe2\uff80\uff90chemical properties of plant diet supplied.

4. These observed differences and similarities on C and nutrient processing may improve researchers' ability to predict the amount and stoichiometry of frass and bodies generated after geometrid outbreaks.

Agricultural ecosystems provide a range of benefits that are vital to human well-being. These benefits are dependent on several soil functions that are affected in different ways by legislation from the European Union, national, and regional levels. We evaluated current European Union soil-related legislation and examples of regional legislation with regard to direct and indirect impacts on five soil functions: the production of food, fiber, and fuel; water purification and regulation; carbon sequestration and climate regulation; habitat for biodiversity provisioning; and the recycling of nutrients/agro-chemicals. Our results illustrate the diversity of existing policies and the complex interactions present between different spatial and temporal scales. The impact of most policies, positive or negative, on a soil function is usually not established, but depends on how the policy is implemented by local authorities and the farmers. This makes it difficult to estimate the overall state and trends of the different soil functions in agricultural ecosystems. To implement functional management and sustainable use of the different soil functions in agricultural ecosystems, more knowledge is needed on the policy interactions as well as on the impact of management options on the different soil functions.

", "keywords": ["2. Zero hunger", "regional legislation", "04 agricultural and veterinary sciences", "15. Life on land", "16. Peace & justice", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "Soil policy", "multifunctionality", "13. Climate action", "Soil function", "8. Economic growth", "Multifunctionality", "soil function", "0401 agriculture", " forestry", " and fisheries", "Regional legislation", "soil policy", "European legislation", "soil function; European legislation; regional legislation; multifunctionality; soil policy", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/9/3/407/pdf"}, {"href": "https://doi.org/11019/2079"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11019/2079", "name": "item", "description": "11019/2079", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11019/2079"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-09T00:00:00Z"}}, {"id": "11381/2979854", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:31:42Z", "type": "Journal Article", "created": "2022-02-18", "title": "Winters are changing: snow effects on Arctic and alpine tundra ecosystems", "description": "

Snow is an important driver of ecosystem processes in cold biomes. Snow accumulation determines ground temperature, light conditions, and moisture availability during winter. It also affects the growing season\u2019s start and end, and plant access to moisture and nutrients. Here, we review the current knowledge of the snow cover\u2019s role for vegetation, plant-animal interactions, permafrost conditions, microbial processes, and biogeochemical cycling. We also compare studies of natural snow gradients with snow experimental manipulation studies to assess time scale difference of these approaches. The number of tundra snow studies has increased considerably in recent years, yet we still lack a comprehensive overview of how altered snow conditions will affect these ecosystems. Specifically, we found a mismatch in the timing of snowmelt when comparing studies of natural snow gradients with snow manipulations. We found that snowmelt timing achieved by snow addition and snow removal manipulations (average 7.9\u00a0days advance and 5.5\u00a0days delay, respectively) were substantially lower than the temporal variation over natural spatial gradients within a given year (mean range 56\u00a0days) or among years (mean range 32\u00a0days). Differences between snow study approaches need to be accounted for when projecting snow dynamics and their impact on ecosystems in future climates.

", "keywords": ["snow experiment", "Ekologi", "tundra", "550", "Ecology", "ground temperatures", "Snow experiments", "review", "Review", "15. Life on land", "Climate Science", "VDP::Mathematics and natural scienses: 400", "Ground temperatures", "ground temperature", ":Matematikk og naturvitenskap: 400 [VDP]", ":Mathematics and natural scienses: 400 [VDP]", "ITEX", "13. Climate action", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "14. Life underwater", "Tundra", "VDP::Matematikk og naturvitenskap: 400", "Klimatvetenskap", "snow experiments"]}, "links": [{"href": "https://cdnsciencepub.com/doi/pdf/10.1139/as-2020-0058"}, {"href": "https://doi.org/11381/2979854"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Arctic%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11381/2979854", "name": "item", "description": "11381/2979854", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11381/2979854"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "2807185283", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-25T16:33:06Z", "type": "Journal Article", "created": "2018-05-30", "title": "An integrated method for calculating DEM-based RUSLE LS", "description": "The improvement of resolution of digital elevation models (DEMs) and the increasing application of the Revised Universal Soil Loss Equation (RUSLE) over large areas have created problems for the efficiency of calculating the LS factor for large data sets. The pretreatment for flat areas, flow accumulation, and slope-length calculation have traditionally been the most time-consuming steps. However, obtaining these features are generally usually considered as separate steps, and calculations still tend to be time-consuming. We developed an integrated method to improve the efficiency of calculating the LS factor. The calculation model contains algorithms for calculating flow direction, flow accumulation, slope length, and the LS factor. We used the Deterministic 8 method to develop flow-direction octrees (FDOTs), flat matrices (FMs) and first-in-first-out queues (FIFOQs) tracing the flow path. These data structures were much more time-efficient for calculating the slope length inside the flats, the flow accumulation, and the slope length linearly by traversing the FDOTs from their leaves to their roots, which can reduce the search scope and data swapping. We evaluated the accuracy and effectiveness of this integrated algorithm by calculating the LS factor for three areas of the Loess Plateau in China and SRTM DEM of China. The results indicated that this tool could substantially improve the efficiency of LS-factor calculations over large areas without reducing accuracy.", "keywords": ["Revised universal soil loss equation (RUSLE)", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "0101 mathematics", "Geographic information system (GIS)", "01 natural sciences", "LS factor"], "contacts": [{"organization": "Wang, Meng, Baartman, Jantiene E.M., Zhang, Hongming, Yang, Qinke, Li, Shuqin, Yang, Jiangtao, Cai, Cheng, Wang, Meili, Ritsema, Coen J., Geissen, Violette,", "roles": ["creator"]}]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s12145-018-0349-3.pdf"}, {"href": "https://doi.org/2807185283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20Science%20Informatics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2807185283", "name": "item", "description": "2807185283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2807185283"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-30T00:00:00Z"}}, {"id": "28107603", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:33:07Z", "type": "Journal Article", "created": "2017-01-20", "title": "Desmopressin (Octostim\u00ae) before a native kidney biopsy can reduce the risk for biopsy complications in patients with impaired renal function: A pilot study", "description": "AbstractAim

To evaluate whether the administration of desmopressin alters the risk for renal biopsy complications.

Methods

A multicenter registry containing 576 native kidney biopsies (NKb) with a serum creatinine above 150\uffc2\uffa0\uffce\uffbcmol/L in 527 patients (372 men and 155 women, median age 61\uffc2\uffa0years) was used. Most of the data were prospective. At one of the hospitals all biopsies with creatinine above 150\uffc2\uffa0\uffce\uffbcmol/L received desmopressin before biopsies (NKb 204). These were compared to outcome of biopsy complications against other centres where desmopressin was not given (NKb 372). Fisher's exact test, \uffcf\uff872 analyses, univariate and multiple binary logistic regression were used. Data were given as odds ratio (OR) and confidence interval (CI). A two sided P\uffe2\uff80\uff90value of <0.05 was considered significant.

Results

In NKb with creatinine >150\uffc2\uffa0\uffce\uffbcmol/L, those with desmopressin had less overall (3.4% vs 8.4%, OR 0.39, CI 0.17\uffe2\uff80\uff930.90) whereas major or minor complications were not different. While desmopressin did not exhibit difference in complications in men, women received less major (0% vs 8.6%, P\uffc2\uffa0=\uffc2\uffa00.03) and overall complications (0% vs 12.1%, P\uffc2\uffa0=\uffc2\uffa00.006). A multiple logistic regression revealed that, after adjusting for BMI, age and sex, prophylaxis with desmopressin showed less major (OR 0.38, CI 0.15\uffe2\uff80\uff930.96) and overall complications (OR 0.36, CI 0.15\uffe2\uff80\uff930.85).

Conclusion

Desmopressin given before a native kidney biopsy in patients with impaired renal function can reduce the risk for complications.

Historic agricultural practices have played a dominant role in shaping landscapes, creating a heritage which must be understood and conserved from the perspective of sustainable development. Agroforestry (i.e., the practice of combining trees with agriculture or livestock) has existed since ancient times in European countries, and it has been recognised as one of the most resilient and multifunctional cultural landscapes, providing a wide range of economic, sociocultural, and environmental benefits. This research explores aspects of the history, physical characteristics, decline, and current state of conservation of historic agroforestry systems on the Northern Apennines in Italy, using an interdisciplinary approach combining archival sources, landscape archaeology, dendrochronology, and GIS analysis. Furthermore, through computer-based modelling, this research aims to evaluate how the abandonment of this historic rural land-use strategy impacted slope geomorphic processes over the long term. The importance of environmental values attached to traditional rural landscapes has received much attention even beyond the heritage sector, justifying the definition of transdisciplinary approaches necessary to ensure the holistic management of landscapes. Through the integration of the Unit Stream Power-Based Erosion Deposition (USPED) equation with landscape archaeological data, the paper shows how restoring the historic agroforestry landscape could significantly mitigate soil mass movements in the area. Thus, the interdisciplinary workflow proposed in this study enables a deep understanding of both the historical evolution of agroforestry systems and its resulting effects for cumulative soil erosion and deposition in the face of climate change.

", "keywords": ["2. Zero hunger", "S", "transdisciplinary landscape studies", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "remote sensing and GIS; historic landscape characterisation; slope processes; landscape archaeology; landscape modelling; transdisciplinary landscape studies; geomorphometry; alberata emiliana", "landscape archaeology", "13. Climate action", "remote sensing and GIS", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "slope processes", "historic landscape characterisation", "landscape modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/2/land-12-01054-v2.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/3/land-12-01054-v2_compressed.pdf"}, {"href": "https://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=291264/11B42E72-559A-4B2B-B355-0FF6E8B88A26.pdf&pub_id=291264"}, {"href": "https://doi.org/2434/1052268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2434/1052268", "name": "item", "description": "2434/1052268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2434/1052268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-12T00:00:00Z"}}, {"id": "1854/LU-8619257", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-25T16:32:03Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/1854/LU-8619257"}, {"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": "1854/LU-8619257", "name": "item", "description": "1854/LU-8619257", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8619257"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "1887/3562952", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:32:07Z", "type": "Journal Article", "created": "2022-11-14", "title": "Generating environmental sampling and testing data for micro- and nanoplastics for use in life cycle impact assessment", "description": "Ongoing efforts focus on quantifying plastic pollution and describing and estimating the related magnitude of exposure and impacts on human and environmental health. Data gathered during such work usually follows a receptor perspective. However, Life Cycle Assessment (LCA) represents an emitter perspective. This study examines existing data gathering and reporting approaches for field and laboratory studies on micro- and nanoplastics (MNPs) exposure and effects relevant to LCA data inputs. The outcomes indicate that receptor perspective approaches do not typically provide suitable or sufficiently harmonised data. Improved design is needed in the sampling, testing and recording of results using harmonised, validated and comparable methods, with more comprehensive reporting of relevant data. We propose a three-level set of requirements for data recording and reporting to increase the potential for LCA studies and models to utilise data gathered in receptor-oriented studies. We show for which purpose such data can be used as inputs to LCA, particularly in life cycle impact assessment (LCIA) methods. Implementing these requirements will facilitate proper integration of the potential environmental impacts of plastic losses from human activity (e.g. litter) into LCA. Then, the impacts of plastic emissions can eventually be connected and compared with other environmental issues related to anthropogenic activities.", "keywords": ["Monitoring", "Microplastics", "Life Cycle Assessment", "Environment", "/dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production; name=SDG 12 - Responsible Consumption and Production", "Ecotoxicology", "333", "Article", "Biologisk overv\u00e5kning", "12. Responsible consumption", "Life cycle assessment", "Risikovurdering", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "Humans", "Animals", "/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being", "Risk assessment", "Life Cycle Stages", "Data Collection", "Environmental monitoring", "Datainnsamling", "Harmonizing data collection", "620", "Livsl\u00f8psanalyse", "\u00d8kotoksikologi", "13. Climate action", "Nanoplastics", "Mikroplast i havet", "Ocean Microplastics", "Environmental Pollution"]}, "links": [{"href": "https://doi.org/1887/3562952"}, {"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": "1887/3562952", "name": "item", "description": "1887/3562952", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1887/3562952"}, {"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": "1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-25T16:32:07Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.