{"type": "FeatureCollection", "features": [{"id": "10.5194/tc-2018-16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p></article>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-2018-16"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-2018-16", "name": "item", "description": "10.5194/tc-2018-16", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-2018-16"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "10.1029/2017wr022067", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:30Z", "type": "Journal Article", "created": "2019-01-04", "title": "14C\u2010Free Carbon Is a Major Contributor to Cellular Biomass in Geochemically Distinct Groundwater of Shallow Sedimentary Bedrock Aquifers", "description": "Abstract<p>Despite the global significance of the subsurface biosphere, the degree to which it depends on surface organic carbon (OC) is still poorly understood. Here, we compare stable and radiogenic carbon isotope compositions of microbial phospholipid fatty acids (PLFAs) with those of in situ potential microbial C sources to assess the major C sources for subsurface microorganisms in biogeochemical distinct shallow aquifers (Critical Zone Exploratory, Thuringia Germany). Despite the presence of younger OC, the microbes assimilated 14C\uffe2\uff80\uff90free OC to varying degrees; ~31% in groundwater within the oxic zone, ~47% in an iron reduction zone, and ~70% in a sulfate reduction/anammox zone. The persistence of trace amounts of mature and partially biodegraded hydrocarbons suggested that autochthonous petroleum\uffe2\uff80\uff90derived hydrocarbons were a potential 14C\uffe2\uff80\uff90free C source for heterotrophs in the oxic zone. In this zone, \uffce\uff9414C values of dissolved inorganic carbon (\uffe2\uff88\uff92366\uffc2\uffa0\uffc2\uffb1\uffc2\uffa018\uffe2\uff80\uffb0) and 11MeC16:0 (\uffe2\uff88\uff92283\uffc2\uffa0\uffc2\uffb1\uffc2\uffa032\uffe2\uff80\uffb0), an important component in autotrophic nitrite oxidizers, were similar enough to indicate that autotrophy is an important additional C fixation pathway. In anoxic zones, methane as an important C source was unlikely since the 13C\uffe2\uff80\uff90fractionations between the PLFAs and CH4 were inconsistent with kinetic isotope effects associated with methanotrophy. In the sulfate reduction/anammox zone, the strong 14C\uffe2\uff80\uff90depletion of 10MeC16:0 (\uffe2\uff88\uff92942\uffc2\uffa0\uffc2\uffb1\uffc2\uffa022\uffe2\uff80\uffb0), a PLFA common in sulfate reducers, indicated that those bacteria were likely to play a critical part in 14C\uffe2\uff80\uff90free sedimentary OC cycling. Results indicated that the 14C\uffe2\uff80\uff90content of microbial biomass in shallow sedimentary aquifers results from complex interactions between abundance and bioavailability of naturally occurring OC, hydrogeology, and specific microbial metabolisms.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "assimilation", "Environmental Engineering", "Environmental engineering", "Geology", "subsurface", "15. Life on land", "Civil Engineering", "Physical Geography and Environmental Geoscience", "6. Clean water", "03 medical and health sciences", "Geochemistry", "13. Climate action", "C cycling", "Earth Sciences", "radiocarbon", "PLFA", "microbial function", "Civil engineering", "Hydrology", "Research Articles"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022067"}, {"href": "https://escholarship.org/content/qt28c3v5mf/qt28c3v5mf.pdf"}, {"href": "https://doi.org/10.1029/2017wr022067"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2017wr022067", "name": "item", "description": "10.1029/2017wr022067", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2017wr022067"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1038/nclimate2940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:36Z", "type": "Journal Article", "created": "2016-02-19", "title": "Tundra Soil Carbon Is Vulnerable To Rapid Microbial Decomposition Under Climate Warming", "description": "Release of carbon previously locked in permafrost is a potentially important positive climate feedback. Now metagenomics reveal the vulnerability of active-layer soil carbon to warming-induced microbial decomposition in Alaskan tundra.", "keywords": ["Climate Action", "Environmental Science and Management", "13. Climate action", "15. Life on land", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt0819x7ft/qt0819x7ft.pdf"}, {"href": "https://doi.org/10.1038/nclimate2940"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Climate%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/nclimate2940", "name": "item", "description": "10.1038/nclimate2940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/nclimate2940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-22T00:00:00Z"}}, {"id": "10.1038/s41561-019-0318-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:40Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10.1038/s41561-019-0318-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-019-0318-6", "name": "item", "description": "10.1038/s41561-019-0318-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-019-0318-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10.1038/s41561-020-0596-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:40Z", "type": "Journal Article", "created": "2020-06-29", "title": "The age distribution of global soil carbon inferred from radiocarbon measurements", "description": "Soils contain more carbon than the atmosphere and vegetation combined. An increased flow of carbon from the atmosphere into soil pools could help mitigate anthropogenic emissions of carbon dioxide and climate change. Yet we do not know how quickly soils might respond because the age distribution of soil carbon is uncertain. Here we used 789 radiocarbon (\u220614C) profiles, along with other geospatial information, to create globally gridded datasets of mineral soil \u220614C and mean age. We found that soil depth is a primary driver of \u220614C, whereas climate (for example, mean annual temperature) is a major control on the spatial pattern of \u220614C in surface soil. Integrated to a depth of 1\u2009m, global soil carbon has a mean age of 4,830\u2009\u00b1\u20091,730\u2009yr, with older carbon in deeper layers and permafrost regions. In contrast, vertically resolved land models simulate \u220614C values that imply younger carbon ages and a more rapid carbon turnover. Our data-derived estimates of older mean soil carbon age suggest that soils will accumulate less carbon than predicted by current Earth system models over the twenty-first century. Reconciling these models with the global distribution of soil radiocarbon will require a better representation of the mechanisms that control carbon persistence in soils. Soils may accumulate less carbon and with a slower turnover than Earth system models predict, according to analysis of the age distribution of global soil carbon, which finds that the mean age of soil carbon is older than that in simulated in models.", "keywords": ["Climate Action", "0301 basic medicine", "03 medical and health sciences", "13. Climate action", "Earth Sciences", "Meteorology & Atmospheric Sciences", "15. Life on land", "Physical geography and environmental geoscience", "01 natural sciences", "Physical Geography and Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0596-z.pdf"}, {"href": "https://escholarship.org/content/qt2738s2mj/qt2738s2mj.pdf"}, {"href": "https://doi.org/10.1038/s41561-020-0596-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-020-0596-z", "name": "item", "description": "10.1038/s41561-020-0596-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-020-0596-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-29T00:00:00Z"}}, {"id": "10.1126/sciadv.abb6546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:06Z", "type": "Journal Article", "created": "2020-10-16", "title": "Remobilization of dormant carbon from Siberian-Arctic permafrost during three past warming events", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Arctic Ocean sediments reveal permafrost thaw and carbon release during three large warming events of the past 27,000 years.</p></article>", "keywords": ["0301 basic medicine", "13 Climate Action", "0303 health sciences", "03 medical and health sciences", "13. Climate action", "37 Earth Sciences", "3705 Geology", "3709 Physical Geography and Environmental Geoscience", "15. Life on land", "Research Articles"]}, "links": [{"href": "https://doi.org/10.1126/sciadv.abb6546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.abb6546", "name": "item", "description": "10.1126/sciadv.abb6546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.abb6546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-16T00:00:00Z"}}, {"id": "10.2136/vzj2015.09.0131", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:21Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas<p><p>A community effort is needed to move soil modeling forward.</p><p>Establishing an international soil modeling consortium is key in this respect.</p><p>There is a need to better integrate existing knowledge in soil models.</p><p>Integration of data and models is a key challenge in soil modeling.</p></p><p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p", "keywords": ["organic-matter dynamics", "550", "QH301 Biology", "0208 environmental biotechnology", "SATURATED-UNSATURATED FLOW", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "ANZSRC::3707 Hydrology", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "2. Zero hunger", "GROUND-PENETRATING RADAR", "diffuse-reflectance spectroscopy", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "Crop and Pasture Production", "101028 Mathematical modelling", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "international soil modeling consortium", "0207 environmental engineering", "Soil Science", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "arbuscular mycorrhizal fungi", "soil science", "ORGANIC-MATTER DYNAMICS", "QH301", "ANZSRC::0503 Soil Sciences", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "mod\u00e9lisation", "0105 earth and related environmental sciences", "ground-penetrating radar", "info:eu-repo/classification/ddc/550", "soil modeling", "ANZSRC::080110 Simulation and Modelling", "ROOT WATER-UPTAKE", "15. Life on land", "multiple ecosystem services", "root water-uptake", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics.", "DIGITAL ELEVATION MODEL"]}, "links": [{"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/10.2136/vzj2015.09.0131"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/vzj2015.09.0131", "name": "item", "description": "10.2136/vzj2015.09.0131", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/vzj2015.09.0131"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "10.3390/rs11091138", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:01Z", "type": "Journal Article", "created": "2019-05-13", "title": "Advances in the Remote Sensing of Terrestrial Evaporation", "description": "<p>Characterizing the terrestrial carbon, water, and energy cycles depends strongly on a capacity to accurately reproduce the spatial and temporal dynamics of land surface evaporation. For this, and many other reasons, monitoring terrestrial evaporation across multiple space and time scales has been an area of focused research for a number of decades. Much of this activity has been supported by developments in satellite remote sensing, which have been leveraged to deliver new process insights, model development and methodological improvements. In this Special Issue, published contributions explored a range of research topics directed towards the enhanced estimation of terrestrial evaporation. Here we summarize these cutting-edge efforts and provide an overview of some of the state-of-the-art approaches for retrieving this key variable. Some perspectives on outstanding challenges, issues, and opportunities are also presented.</p>", "keywords": ["Atmospheric sciences", "CubeSats", "Life on Land", "Classical Physics", "Science", "0207 environmental engineering", "02 engineering and technology", "high-resolution", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Article", "evaporation", "land surface modeling", "remote sensing", "Engineering", "novel sensing", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "Earth observation", "Q", "Geomatic engineering", "15. Life on land", "Geomatic Engineering", "land surface flux", "13. Climate action", "cubesats"]}, "links": [{"href": "https://www.mdpi.com/2072-4292/11/9/1138/pdf"}, {"href": "https://escholarship.org/content/qt1sh5v7hp/qt1sh5v7hp.pdf"}, {"href": "https://doi.org/10.3390/rs11091138"}, {"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": "10.3390/rs11091138", "name": "item", "description": "10.3390/rs11091138", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11091138"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.3390/rs13214195", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:02Z", "type": "Journal Article", "created": "2021-10-20", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/10.3390/rs13214195"}, {"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": "10.3390/rs13214195", "name": "item", "description": "10.3390/rs13214195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13214195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "10.5194/bg-16-785-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:38Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.                     </p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "land-use change", "Life", "QH501-531", "Meteorology & Atmospheric Sciences", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "chamber measurements", "Climate Change Impacts and Adaptation", "Environmental Sciences", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10.5194/bg-16-785-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-785-2019", "name": "item", "description": "10.5194/bg-16-785-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-785-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "10.5194/egusphere-2022-535", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:41Z", "type": "Journal Article", "created": "2022-03-27", "title": "Potential of natural language processing for metadata extraction from environmental scientific publications", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Adapting agricultural management practices to changing climate is not straightforward. Effects of agricultural management practices (tillage, cover crops, amendment, &amp;amp;#8230;) on soil variables (hydraulic conductivity, aggregate stability, &amp;amp;#8230;) often vary according to pedo-climatic conditions. Hence, it is important to take these conditions into account in quantitative evidence synthesis. Extracting structured information from scientific publications to build large databases with experimental data from various conditions is an effective way to do this. This database can then serve to explain, and possibly also to predict, the effect of management practices in different pedo-climatic contexts.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;However, manually building such a database by going through all publications is tedious. And given the increasing amount of literature, this task is likely to require more and more effort in the future. Natural language processing facilitates this task.&amp;amp;#160; In this work, we built a database of near-saturated hydraulic conductivity from tension-disk infiltrometer measurements from scientific publications. We used tailored regular expressions and dictionaries to extract coordinates, soil texture, soil type, rainfall, disk diameter and tensions applied. The overal results have an F1-score ranging from 0.72 to 0.91.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In addition, we extracted relationships between a set of driver keywords (e.g. &amp;amp;#8216;biochar&amp;amp;#8217;, &amp;amp;#8216;zero tillage&amp;amp;#8217;, &amp;amp;#8230;) and variables (e.g. &amp;amp;#8216;soil aggregate&amp;amp;#8217;, &amp;amp;#8216;hydraulic conductivity&amp;amp;#8217;, &amp;amp;#8230;) from publication abstracts based on the shortest dependency path between them. The relationships were further classified according to positive, negative or absent correlations between the driver and variable. This technique quickly provides an overview of the different driver-variable relationships and their abundance for an entire body of literature. For instance, we were able to recover the positive correlation between biochar and yield, as well as its negative correlation with bulk density.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["2. Zero hunger", "QE1-996.5", "Science & Technology", "Soil Science", "Agriculture", "Geology", "02 engineering and technology", "15. Life on land", "420", "6. Clean water", "4106 Soil sciences", "SOIL", "Environmental sciences", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "GE1-350", "Life Sciences & Biomedicine", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://pub.epsilon.slu.se/30670/1/blanchy-g-et-al-20230413.pdf"}, {"href": "https://soil.copernicus.org/articles/9/155/2023/soil-9-155-2023.pdf"}, {"href": "https://doi.org/10.5194/egusphere-2022-535"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-2022-535", "name": "item", "description": "10.5194/egusphere-2022-535", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-2022-535"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-27T00:00:00Z"}}, {"id": "10.5194/essd-9-697-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:46Z", "type": "Journal Article", "created": "2017-09-12", "description": "<p>Abstract. Climate, land use, and other anthropogenic and natural drivers have the potential to influence fire dynamics in many regions. To develop a mechanistic understanding of the changing role of these drivers and their impact on atmospheric composition, long-term fire records are needed that fuse information from different satellite and in situ data streams. Here we describe the fourth version of the Global Fire Emissions Database (GFED) and quantify global fire emissions patterns during 1997\uffe2\uff80\uff932016. The modeling system, based on the Carnegie\uffe2\uff80\uff93Ames\uffe2\uff80\uff93Stanford Approach (CASA) biogeochemical model, has several modifications from the previous version and uses higher quality input datasets. Significant upgrades include (1)\uffc2\uffa0new burned area estimates with contributions from small fires, (2)\uffc2\uffa0a revised fuel consumption parameterization optimized using field observations, (3)\uffc2\uffa0modifications that improve the representation of fuel consumption in frequently burning landscapes, and (4)\uffc2\uffa0fire severity estimates that better represent continental differences in burning processes across boreal regions of North America and Eurasia. The new version has a higher spatial resolution (0.25\uffc2\uffb0) and uses a different set of emission factors that separately resolves trace gas and aerosol emissions from temperate and boreal forest ecosystems. Global mean carbon emissions using the burned area dataset with small fires (GFED4s) were 2.2\uffe2\uff80\uffaf\uffe2\uff80\uff89\uffc3\uff97\uffe2\uff80\uff89\uffe2\uff80\uffaf1015\uffc2\uffa0grams of carbon per year (Pg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) during 1997\uffe2\uff80\uff932016, with a maximum in 1997 (3.0\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921) and minimum in 2013 (1.8\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921). These estimates were 11\uffe2\uff80\uffaf% higher than our previous estimates (GFED3) during 1997\uffe2\uff80\uff932011, when the two datasets overlapped. This net increase was the result of a substantial increase in burned area (37\uffe2\uff80\uffaf%), mostly due to the inclusion of small fires, and a modest decrease in mean fuel consumption (\uffe2\uff88\uff9219\uffe2\uff80\uffaf%) to better match estimates from field studies, primarily in savannas and grasslands. For trace gas and aerosol emissions, differences between GFED4s and GFED3 were often larger due to the use of revised emission factors. If small fire burned area was excluded (GFED4 without the s for small fires), average emissions were 1.5\uffe2\uff80\uffafPg\uffe2\uff80\uffafC\uffe2\uff80\uffafyr\uffe2\uff88\uff921. The addition of small fires had the largest impact on emissions in temperate North America, Central America, Europe, and temperate Asia. This small fire layer carries substantial uncertainties; improving these estimates will require use of new burned area products derived from high-resolution satellite imagery. Our revised dataset provides an internally consistent set of burned area and emissions that may contribute to a better understanding of multi-decadal changes in fire dynamics and their impact on the Earth system. GFED data are available from http://www.globalfiredata.org.                     </p>", "keywords": ["Atmospheric sciences", "QE1-996.5", "Life on Land", "Geology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Physical Geography and Environmental Geoscience", "Atmospheric Sciences", "Climate Action", "Environmental sciences", "Geochemistry", "13. Climate action", "Geoinformatics", "8. Economic growth", "11. Sustainability", "Earth Sciences", "GE1-350", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://escholarship.org/content/qt2pm0d581/qt2pm0d581.pdf"}, {"href": "https://doi.org/10.5194/essd-9-697-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-9-697-2017", "name": "item", "description": "10.5194/essd-9-697-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-9-697-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-12T00:00:00Z"}}, {"id": "10.5194/tc-12-3293-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.                         </p>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/10.5194/tc-12-3293-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/tc-12-3293-2018", "name": "item", "description": "10.5194/tc-12-3293-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/tc-12-3293-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "10.5194/soil-6-95-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "type": "Journal Article", "created": "2020-03-06", "title": "Time-lapse monitoring of root water uptake using electrical resistivity tomography and mise-\u00e0-la-masse: a vineyard infiltration experiment", "description": "<p>Abstract. This paper presents a time-lapse application of electrical methods (electrical resistivity tomography, ERT; and mise-\uffc3\uffa0-la-masse, MALM) for monitoring plant roots and their activity (root water uptake) during a controlled infiltration experiment. The use of non-invasive geophysical monitoring is of increasing interest as these techniques provide time-lapse imaging of processes that otherwise can only be measured at few specific spatial locations. The experiment here described was conducted in a vineyard in Bordeaux (France) and was focused on the behaviour of two neighbouring grapevines. The joint application of ERT and MALM has several advantages. While ERT in time-lapse mode is sensitive to changes in soil electrical resistivity and thus to the factors controlling it (mainly soil water content, in this context), MALM uses DC current injected into a tree stem to image where the plant root system is in effective electrical contact with the soil at locations that are likely to be the same where root water uptake (RWU) takes place. Thus, ERT and MALM provide complementary information about the root structure and activity. The experiment shows that the region of likely electrical current sources produced by MALM does not change significantly during the infiltration time in spite of the strong changes of electrical resistivity caused by changes in soil water content. Ultimately, the interpretation of the current source distribution strengthened the hypothesis of using current as a proxy for root detection. This fact, together with the evidence that current injection in the soil and in the stem produces totally different voltage patterns, corroborates the idea that this application of MALM highlights the active root density in the soil. When considering the electrical resistivity changes (as measured by ERT) inside the stationary volume of active roots delineated by MALM, the overall tendency is towards a resistivity increase during irrigation time, which can be linked to a decrease in soil water content caused by root water uptake. On the contrary, when considering the soil volume outside the MALM-derived root water uptake region, the electrical resistivity tends to decrease as an effect of soil water content increase caused by the infiltration. The use of a simplified infiltration model confirms at least qualitatively this behaviour. The monitoring results are particularly promising, and the method can be applied to a variety of scales including the laboratory scale where direct evidence of root structure and root water uptake can help corroborate the approach. Once fully validated, the joint use of MALM and ERT can be used as a valuable tool to study the activity of roots under a wide variety of field conditions.                     </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "0207 environmental engineering", "Geology", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Environmental sciences", "Soil sciences", "Soil Sciences", "Earth Sciences", "GE1-350", "Physical geography and environmental geoscience", "Environmental Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3332035/2/unpaywall-bitstream-1077841967.pdf"}, {"href": "https://soil.copernicus.org/articles/6/95/2020/soil-6-95-2020.pdf"}, {"href": "https://doi.org/10.5194/soil-6-95-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/soil-6-95-2020", "name": "item", "description": "10.5194/soil-6-95-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/soil-6-95-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-22T00:00:00Z"}}, {"id": "10.5194/soil-9-1-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:51Z", "type": "Journal Article", "created": "2023-01-04", "title": "Soil and crop management practices and the water regulation functions of soils: a qualitative synthesis of meta-analyses relevant to European agriculture", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Adopting soil and crop management practices that conserve or enhance soil structure is critical for supporting the sustainable adaptation of agriculture to climate change, as it should help maintain agricultural production in the face of increasing drought or water excess without impairing environmental quality. In this paper, we evaluate the evidence for this assertion by synthesizing the results of 34 published meta-analyses of the effects of such practices on soil physical and hydraulic properties relevant for climate change adaptation in European agriculture. We also review an additional 127 meta-analyses that investigated synergies and trade-offs or help to explain the effects of soil and crop management in terms of the underlying processes and mechanisms. Finally, we identify how responses to alternative soil\u2013crop management systems vary under contrasting agro-environmental conditions across Europe. This information may help practitioners and policymakers to draw context-specific conclusions concerning the efficacy of management practices as climate adaptation tools. Our synthesis demonstrates that organic soil amendments and the adoption of practices that maintain \u201ccontinuous living cover\u201d result in significant benefits for the water regulation function of soils, mostly arising from the additional carbon inputs to soil and the stimulation of biological processes. These effects are clearly related to improved soil aggregation and enhanced bio-porosity, both of which reduce surface runoff and increase infiltration. One potentially negative consequence of these systems is a reduction in soil water storage and groundwater recharge, which may be problematic in dry climates. Some important synergies are reductions in nitrate leaching to groundwater and greenhouse gas emissions for nonleguminous cover crop systems. The benefits of reducing tillage intensity appear much less clear-cut. Increases in soil bulk density due to traffic compaction are commonly reported. However, biological activity is enhanced under reduced tillage intensity, which should improve soil structure and infiltration capacity and reduce surface runoff and the losses of agro-chemicals to surface water. However, the evidence for these beneficial effects is inconclusive, while significant trade-offs include yield penalties and increases in greenhouse gas emissions and the risks of leaching of pesticides and nitrate. Our synthesis also highlights important knowledge gaps on the effects of management practices on root growth and transpiration. Thus, conclusions related to the impacts of management on the crop water supply and other water regulation functions are necessarily based on inferences derived from proxy variables. Based on these knowledge gaps, we outlined several key avenues for future research on this topic.                     </p></article>", "keywords": ["550", "Soil Science", "N2O EMISSIONS", "ECOSYSTEM SERVICES", "COVER CROPS", "12. Responsible consumption", "SYSTEMS", "11. Sustainability", "TILLAGE MANAGEMENT", "GE1-350", "2. Zero hunger", "QE1-996.5", "Science & Technology", "LOAM SOIL", "BIOCHAR", "MICROBIAL BIOMASS", "Agriculture", "CLIMATE-CHANGE MITIGATION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "4106 Soil sciences", "Environmental sciences", "ORGANIC-MATTER", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://soil.copernicus.org/articles/9/1/2023/soil-9-1-2023.pdf"}, {"href": "https://pub.epsilon.slu.se/30089/1/blanchy-g-et-al-20230111.pdf"}, {"href": "https://doi.org/10.5194/soil-9-1-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/soil-9-1-2023", "name": "item", "description": "10.5194/soil-9-1-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/soil-9-1-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-04T00:00:00Z"}}, {"id": "1854/LU-8751352", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:02Z", "type": "Journal Article", "created": "2022-03-29", "title": "Mapping Soil Properties with Fixed Rank Kriging of Proximally Sensed Soil Data Fused with Sentinel-2 Biophysical Parameter", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets.</p></article>", "keywords": ["Technology", "MANAGEMENT ZONES", "PREDICTION", "NDVI", "SPATIAL VARIABILITY", "Science", "MODELS", "PHYSICAL-PROPERTIES", "ONLINE", "Environmental Sciences & Ecology", "VNIR spectrometer", "geostatistical interpolation", "VARIABLES", "0203 Classical Physics", "Remote Sensing", "geostatistical interpolation; VNIR spectrometer; NDVI; fAPAR; precision agriculture", "0909 Geomatic Engineering", "QUALITY", "DATA FUSION", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "Science & Technology", "precision agriculture", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "DELINEATION", "Earth and Environmental Sciences", "Physical Sciences", "fAPAR", "0401 agriculture", " forestry", " and fisheries", "precision", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/7/1639/pdf"}, {"href": "https://doi.org/1854/LU-8751352"}, {"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": "1854/LU-8751352", "name": "item", "description": "1854/LU-8751352", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8751352"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-29T00:00:00Z"}}, {"id": "10261/277923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:30Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.</p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/86261359/Busschaert_etal_2022_HESS.pdf"}, {"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/10261/277923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/277923", "name": "item", "description": "10261/277923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/277923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:18Z", "type": "Journal Article", "created": "2022-07-18", "title": "Net irrigation requirement under different climate scenarios using AquaCrop over Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Global soil water availability is challenged by the effects of climate change and a growing population. On average, 70\u2009% of freshwater extraction is attributed to agriculture, and the demand is increasing. In this study, the effects of climate change on the evolution of the irrigation water requirement to sustain current crop productivity are assessed by using the Food and Agriculture Organization (FAO) crop growth model AquaCrop version 6.1. The model is run at 0.5\u2218lat\u00d70.5\u2218long resolution over the European mainland, assuming a general C3-type of crop, and forced by climate input data from the Inter-Sectoral Impact Model Intercomparison Project phase three (ISIMIP3). First, the AquaCrop surface soil moisture (SSM) forced with two types of ISIMIP3 historical meteorological datasets is evaluated with satellite-based SSM estimates in two ways. When driven by ISIMIP3a reanalysis meteorology, daily simulated SSM values have an unbiased root mean square difference of 0.08 and 0.06\u2009m3\u2009m\u22123, with SSM retrievals from the Soil Moisture Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) missions, respectively, for the years 2015\u20132016 (2016 is the end year of the reanalysis data). When forced with ISIMIP3b meteorology from five global climate models (GCMs) for the years 2015\u20132020, the historical simulated SSM climatology closely agrees with the satellite-based SSM climatologies. Second, the evaluated AquaCrop model is run to quantify the future irrigation requirement, for an ensemble of five GCMs and three different emission scenarios. The simulated net irrigation requirement (Inet) of the three summer months for a near and far future climate period (2031\u20132060 and 2071\u20132100) is compared to the baseline period of 1985\u20132014 to assess changes in the mean and interannual variability of the irrigation demand. Averaged over the continent and the model ensemble, the far future Inet is expected to increase by 22\u2009mm per month (+30\u2009%) under a high-emission scenario Shared Socioeconomic Pathway (SSP) 3\u20137.0. Central and southern Europe are the most impacted, with larger Inet increases. The interannual variability in Inet is likely to increase in northern and central Europe, whereas the variability is expected to decrease in southern regions. Under a high mitigation scenario (SSP1\u20132.6), the increase in Inet will stabilize at around 13\u2009mm per month towards the end of the century, and interannual variability will still increase but to a smaller extent. The results emphasize a large uncertainty in the Inet projected by various GCMs.                     </p></article>", "keywords": ["IMPACTS", "LAND", "Technology", "Environmental Engineering", "AGRICULTURE", "DEFICIT IRRIGATION", "SIMULATE YIELD RESPONSE", "0207 environmental engineering", "UNCERTAINTY", "02 engineering and technology", "CROP WATER PRODUCTIVITY", "Environmental technology. Sanitary engineering", "01 natural sciences", "0905 Civil Engineering", "G", "DATA ASSIMILATION", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "3707 Hydrology", "T", "Geology", "15. Life on land", "TRENDS", "6. Clean water", "MODEL", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://hess.copernicus.org/articles/26/3731/2022/hess-26-3731-2022.pdf"}, {"href": "https://doi.org/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "name": "item", "description": "20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14017/81a6df94-d40c-4db1-86dc-539a3cb8aaf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-12T00:00:00Z"}}, {"id": "10044/1/67327", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:23Z", "type": "Journal Article", "created": "2019-03-11", "title": "Drought impacts on terrestrial primary production underestimated by satellite monitoring", "description": "Satellite retrievals of information about the Earth's surface are widely used to monitor global terrestrial photosynthesis and primary production and to examine the ecological impacts of droughts. Methods for estimating photosynthesis from space commonly combine information on vegetation greenness, incoming radiation, temperature and atmospheric demand for water (vapour-pressure deficit), but do not account for the direct effects of low soil moisture. They instead rely on vapour-pressure deficit as a proxy for dryness, despite widespread evidence that soil moisture deficits have a direct impact on vegetation, independent of vapour-pressure deficit. Here, we use a globally distributed measurement network to assess the effect of soil moisture on photosynthesis, and identify a common bias in an ensemble of satellite-based estimates of photosynthesis that is governed by the magnitude of soil moisture effects on photosynthetic light-use efficiency. We develop methods to account for the influence of soil moisture and estimate that soil moisture effects reduce global annual photosynthesis by ~15%, increase interannual variability by more than 100% across 25% of the global vegetated land surface, and amplify the impacts of extreme events on primary production. These results demonstrate the importance of soil moisture effects for monitoring carbon-cycle variability and drought impacts on vegetation productivity from space.", "keywords": ["550", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "Physical Geography and Environmental Geoscience", "USE EFFICIENCY", "NET PRIMARY PRODUCTION", "Meteorology & Atmospheric Sciences", "Geosciences", " Multidisciplinary", "WATER-STRESS", "Physical geography and environmental geoscience", "0105 earth and related environmental sciences", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "CLIMATE-CHANGE", "Ecology", "PHOTOSYNTHESIS", "Geology", "GROSS PRIMARY PRODUCTION", "Carbon cycle", "Biogeochemistry", "15. Life on land", "FOREST", "6. Clean water", "ATMOSPHERIC DEMAND", "13. Climate action", "Physical Sciences", "Earth Sciences", "RADIATION", "CARBON UPTAKE", "Geosciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-019-0318-6.pdf"}, {"href": "https://escholarship.org/content/qt2hr7r7gk/qt2hr7r7gk.pdf"}, {"href": "https://doi.org/10044/1/67327"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/67327", "name": "item", "description": "10044/1/67327", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/67327"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-11T00:00:00Z"}}, {"id": "10067/1574910151162165141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:24Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.</p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "Meteorology & Atmospheric Sciences (science-metrix)", "3103 Ecology (for-2020)", "land-use change", "Life", "QH501-531", "4101 Climate Change Impacts and Adaptation (for-2020)", "Meteorology & Atmospheric Sciences", "04 Earth Sciences (for)", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "31 Biological Sciences (for-2020)", "41 Environmental Sciences (for-2020)", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "4104 Environmental management (for-2020)", "06 Biological Sciences (for)", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "13 Climate Action (sdg)", "chamber measurements", "Climate Change Impacts and Adaptation", "3709 Physical geography and environmental geoscience (for-2020)", "Environmental Sciences", "05 Environmental Sciences (for)", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10067/1574910151162165141"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10067/1574910151162165141", "name": "item", "description": "10067/1574910151162165141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10067/1574910151162165141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "11577/3462068", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:52Z", "type": "Journal Article", "created": "2022-10-06", "title": "Impact of agricultural management on soil aggregates and associated organic carbon fractions: analysis of long-term experiments in Europe", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Inversion tillage is a commonly applied soil cultivation practice in Europe, which often has been blamed for deteriorating topsoil stability and organic carbon (OC) content. In this study, the potential to reverse these negative effects in the topsoil by alternative agricultural management practices are evaluated in seven long-term experiments (running from 8 to 54\u00a0years the moment of sampling) in five European countries (Belgium, Czech Republic, Hungary, Italy and UK). Topsoil samples (0\u201315\u2009cm) were collected and analysed to evaluate the effects of conservation tillage (reduced and no tillage) and increased organic inputs of different origin (farmyard manure, compost, crop residues) combined with inversion tillage on topsoil stability, soil aggregates and, within these, OC distribution using wet sieving after slaking. Effects from the treatments on the two main components of organic matter, i.e. particulate (POM) and mineral associated (MAOM), were also evaluated using dispersion and size fractionation. Reduced and no-tillage practices, as well as the additions of manure or compost, increased the aggregates mean weight diameter (MWD) (up to 49\u2009% at the Belgian study site) and topsoil OC (up to 51\u2009% at the Belgian study site), as well as the OC corresponding to the different aggregate size fractions. The incorporation of crop residues had a positive impact on the MWD but a less profound effect both on total OC and on OC associated with the different aggregates. A negative relationship between the mass and the OC content of the microaggregates (53\u2013250\u2009\u00b5m) was identified in all experiments. There was no effect on the mass of the macroaggregates and the occluded microaggregates (mM) within these macroaggregates, while the corresponding OC contents increased with less tillage and more organic inputs. Inversion tillage led to less POM within the mM, whereas the different organic inputs did not affect it. In all experiments where the total POM increased, the total soil organic carbon (SOC) was also affected positively. We concluded that the negative effects of inversion tillage on topsoil can be mitigated by reducing the tillage intensity or adding organic materials, optimally combined with non-inversion tillage methods.</p></article>", "keywords": ["2. Zero hunger", "QE1-996.5", "Science & Technology", "STABILITY", "Soil Science", "Agriculture", "Geology", "04 agricultural and veterinary sciences", "SEQUESTRATION", "15. Life on land", "CONSERVATION AGRICULTURE", "4106 Soil sciences", "PROFILE CARBON", "Environmental sciences", "REDUCED-TILLAGE", "CROP YIELD", "13. Climate action", "MANURE APPLICATION", "0401 agriculture", " forestry", " and fisheries", "NO-TILLAGE", "GE1-350", "RESIDUE MANAGEMENT", "Life Sciences & Biomedicine", "MATTER", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3462068/1/soil-8-621-2022.pdf"}, {"href": "https://doi.org/11577/3462068"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SOIL", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11577/3462068", "name": "item", "description": "11577/3462068", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11577/3462068"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-22T00:00:00Z"}}, {"id": "11585/910145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:53Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving  Earth system science for over a decade", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:01Z", "type": "Journal Article", "created": "2023-05-13", "title": "Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations", "description": "Open AccessIn preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e. the Water Cloud Model (WCM) and the Support Vector Regression (SVR). Both forward operators were calibrated (2014\u20132018) with 1-km Sentinel-1 backscatter (\u03d2\u00b0) observations in VV and VH polarisation, for three different study domains in Europe. For the validation period (2019\u20132021), the \u03d2\u00b0 simulations showed reasonable performances around Czech Republic and the Iberian Peninsula, to good performances over Belgium, but with strong variations within each domain. The domain-averaged root mean square difference between the model and Sentinel-1 \u03d2\u00b0 remained below 2 dB for both forward operators and all three study domains, and the mean bias for VV remained close to 0 dB, and close 0.5 dB for the VH polarisation. The WCM and SVR performed better in VV than VH and overall the SVR performed slightly better in mapping the AquaCrop soil moisture and vegetation to backscatter than the WCM. Additionally, the assumed linear relationship in the WCM between soil moisture and soil \u03d2\u00b0 holds better for VV than for VH. The remaining differences between WCM or SVR simulations and Sentinel-1 observations are mainly caused by AquaCrop model errors.", "keywords": ["Agriculture and Food Sciences", "Technology", "ASSIMILATION", "Sentine;-1", "Environmental Sciences & Ecology", "Geological & Geomatics Engineering", "BIOMASS", "Remote Sensing", "SAR BACKSCATTER", "SURFACE SOIL-MOISTURE", "SUPPORT", "0909 Geomatic Engineering", "WATER", "FAO CROP MODEL", "Imaging Science & Photographic Technology", "crop biomass", "Crop biomass", "YIELD RESPONSE", "Science & Technology", "backscatter modelling", "Backscatter modeling", "LEAF-AREA INDEX", "RADAR BACKSCATTER", "37 Earth sciences", "AquaCrop optimisation", "13. Climate action", "Earth and Environmental Sciences", "Sentinel-1", "Soil moisture", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Environmental Sciences"]}, "links": [{"href": "https://biblio.vub.ac.be/vubirfiles/112110259/108189295.pdf"}, {"href": "https://doi.org/1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "name": "item", "description": "1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JKX1Z1QJK1BHR9JV20HBZ5Z4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:01Z", "type": "Journal Article", "created": "2021-11-17", "title": "Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using Regression Methods and Landsat 7", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Soil contamination by heavy metals is of particular concern, due to the direct negative impact on crop yield, food quality and human health. Although the conventional approach to monitor heavy metals relies on field sampling and lab analysis, the proliferation in the use of portable spectrometers has reduced the cost and time of investigation. However, discrepancies in spectral data from different spectrometers increase the modeling time and undermine the model accuracy for spatial mapping. This study, therefore, took advantage of the readily accessible Landsat 7 data to predict and map the spatiotemporal distribution of ten heavy metals (i.e., Sb, Pb, Ni, Mn, Hg, Cu, Cr, Co, Cd and As) over a 640 km2 area in Belgium. The Land Use/Cover Area Frame Survey (LUCAS) database of a region in north-eastern Belgium was used to retrieve variation in heavy metals concentrations over time and space, using the Landsat 7 imagery for four single dates in 2009, 2013, 2016 and 2020. Three regression methods, namely, partial least squares regression (PLSR), random forest (RF) and support vector machine (SVM) were used to model and predict the heavy metal concentrations for 2009. By comparing these models unbiasedly, the best model was selected for predicting and mapping the heavy metal distributions for 2013, 2016 and 2020. RF turned out to be the optimal model for 2009 with a coefficient of determination of prediction (R2P) and residual prediction deviation of prediction (RPDP) ranging from 0.62 to 0.92, and 1.23 to 2.79, respectively. The measured heavy metal distributions along the river floodplains, at the highlands and in the lowlands, were generally high, compared to their RF spatiotemporal predictions, which decreased over time. Increasing moisture contents in the floodplains adjacent to the river channels and the lowlands were the primary contributors to the reduction in the satellite reflectance spectra. However, topsoil erosion from rainfall, snowmelt as well as wind into the lowlands could have influenced the reduction in heavy metal spatiotemporal predicted values over time in the highlands. The spatiotemporal prediction maps produced for the heavy metals for the four different years revealed a good spatial similarity and consistency with the measured maps for 2009, which indicates their stability over the years.</p></article>", "keywords": ["Technology", "PROVINCE", "Landsat 7", "analysis", "Science", "Environmental Sciences & Ecology", "random forest (RF)", "MOISTURE", "01 natural sciences", "NIR SPECTROSCOPY", "0203 Classical Physics", "Remote Sensing", "0909 Geomatic Engineering", "spatiotemporal analysis", "AGRICULTURAL SOILS", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "spatiotemporal", "0105 earth and related environmental sciences", "2. Zero hunger", "Science & Technology", "RANGE", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "3. Good health", "MULTIVARIATE", "TOPSOILS", "13. Climate action", "Earth and Environmental Sciences", "Physical Sciences", "soil heavy metal; Landsat 7; partial least squares regression (PLSR); random forest (RF); support vector machine (SVM); spatiotemporal analysis", "0401 agriculture", " forestry", " and fisheries", "support vector machine (SVM)", "4013 Geomatic engineering", "0406 Physical Geography and Environmental Geoscience", "soil heavy metal", "partial least squares regression (PLSR)", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4615/pdf"}, {"href": "https://doi.org/1854/LU-01GM39MMFY2YP4FTDY102R50HB"}, {"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": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "name": "item", "description": "1854/LU-01GM39MMFY2YP4FTDY102R50HB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GM39MMFY2YP4FTDY102R50HB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:02Z", "type": "Journal Article", "created": "2024-02-09", "title": "Improving the fire weather index system for peatlands using peat-specific hydrological input data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The Canadian Fire Weather Index (FWI) system, even though originally developed and calibrated for an upland Jack pine forest, is used globally to estimate fire danger for any fire environment. However, for some environments, such as peatlands, the applicability of the FWI in its current form, is often questioned. In this study, we replaced the original moisture codes of the FWI with hydrological estimates resulting from the assimilation of satellite-based L-band passive microwave observations into a peatland-specific land surface model. In a conservative approach that maintains the integrity of the original FWI structure, the distributions of the hydrological estimates were first matched to those of the corresponding original moisture codes before replacement. The resulting adapted FWI, hereafter called FWIpeat, was evaluated using satellite-based information on fire presence over boreal peatlands from 2010 through 2018. Adapting the FWI with model- and satellite-based hydrological information was found to be beneficial in estimating fire danger, especially when replacing the deeper moisture codes of the FWI. For late-season fires, further adaptations of the fine fuel moisture code show even more improvement due to the fact that late-season fires are more hydrologically driven. The proposed FWIpeat should enable improved monitoring of fire risk in boreal peatlands.</p></article>", "keywords": ["CARBON SINK", "Environmental technology. Sanitary engineering", "01 natural sciences", "G", "4406 Human geography", "Geography. Anthropology. Recreation", "Meteorology & Atmospheric Sciences", "GE1-350", "ALGORITHM", "Geosciences", " Multidisciplinary", "TD1-1066", "0105 earth and related environmental sciences", "QE1-996.5", "Science & Technology", "CLIMATE-CHANGE", "Strategic", " Defence & Security Studies", "CONSUMPTION", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental sciences", "SEVERITY", "0403 Geology", "0911 Maritime Engineering", "13. Climate action", "Physical Sciences", "Water Resources", "0401 agriculture", " forestry", " and fisheries", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "https://nhess.copernicus.org/articles/24/445/2024/nhess-24-445-2024.pdf"}, {"href": "https://doi.org/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Natural%20Hazards%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "name": "item", "description": "1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/270d8bb4-64f4-4f60-b44e-492fcf327fc8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-09T00:00:00Z"}}, {"id": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:08Z", "type": "Journal Article", "created": "2018-03-09", "title": "Carbonaceous material export from Siberian permafrost tracked across the Arctic Shelf using Raman spectroscopy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Warming-induced erosion of permafrost from Eastern Siberia mobilises large amounts of organic carbon and delivers it to the East Siberian Arctic Shelf (ESAS). In this study Raman spectroscopy of Carbonaceous Material (CM) was used to characterise, identify and track the most recalcitrant fraction of the organic load. 1463 spectra were obtained from surface sediments collected across the ESAS and automatically analysed for their Raman peaks. Spectra were classified by their peak areas and widths into Disordered, Intermediate, Mildly Graphitised and Highly Graphitised groups, and the distribution of these classes was investigated across the shelf. Disordered CM was most prevalent in a permafrost core from Kurungnakh Island, and from areas known to have high rates of coastal erosion. Sediments from outflows of the Indigirka and Kolyma rivers were generally enriched in Intermediate CM. These different sediment sources were identified and distinguished along an E-W transect using their Raman spectra, showing that sediment is not homogenised on the ESAS. Distal samples, from the ESAS slope, contained greater amounts of Highly Graphitised CM compared to the rest of the shelf, attributable to degradation or, more likely, winnowing processes offshore. The presence of all four spectral classes in distal sediments demonstrates that CM degrades much slower than lipid biomarkers and other traditional tracers of terrestrial organic matter, and shows that alongside degradation of the more labile organic matter component there is also conservative transport of carbon across the shelf toward the deep ocean. Thus, carbon cycle calculations must consider the nature as well as the amount of carbon liberated from thawing permafrost and other erosional settings.</p></article>", "keywords": ["Ocean", "River", "QE1-996.5", "550", "500", "Terrigenous Organic-Matter", "Geology", "Terrestrial", "Old Carbon", "01 natural sciences", "Sediments", "Environmental sciences", "Degradation", "13. Climate action", "Laptev Sea", "Meteorology & Atmospheric Sciences", "Graphite", "GE1-350", "0405 Oceanography", "14. Life underwater", "Black Carbon", "0406 Physical Geography And Environmental Geoscience", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://tc.copernicus.org/articles/12/3293/2018/tc-12-3293-2018.pdf"}, {"href": "https://doi.org/1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Cryosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "name": "item", "description": "1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1983/5da4f0df-4d79-4aa3-9d5e-3d013ed9c52d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-09T00:00:00Z"}}, {"id": "20.500.11850/688246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:16Z", "type": "Journal Article", "created": "2024-07-29", "title": "Hydro-pedotransfer functions: a roadmap for future development", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Hydro-pedotransfer functions\u00a0(PTFs) relate easy-to-measure and readily available soil information to soil hydraulic properties\u00a0(SHPs) for applications in a wide range of process-based and empirical models, thereby enabling the assessment of soil hydraulic effects on hydrological, biogeochemical, and ecological processes. At least more than 4 decades of research have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental concerns related to the scope and adequacy of current PTFs, particularly when applied to parameterise models used at the field scale and beyond. Most of the PTF development process has focused on refining and advancing the regression methods, while fundamental aspects have remained largely unconsidered. Most soil systems are not represented in PTFs, which have been built mostly for agricultural soils in temperate climates. Thus, existing PTFs largely ignore how parent material, vegetation, land use, and climate affect processes that shape SHPs. The PTFs used to parameterise the Richards\u2013Richardson equation are mostly limited to predicting parameters of the van\u00a0Genuchten\u2013Mualem soil hydraulic functions, despite sufficient evidence demonstrating their shortcomings. Another fundamental issue relates to the diverging scales of derivation and application, whereby PTFs are derived based on laboratory measurements while often being applied at the field to regional scales. Scaling, modulation, and constraining strategies exist to alleviate some of these shortcomings in the mismatch between scales. These aspects are addressed here in a joint effort by the members of the International Soil Modelling Consortium\u00a0(ISMC) Pedotransfer Functions Working Group with the aim of systematising PTF research and providing a roadmap guiding both PTF development and use. We close with a 10-point catalogue for funders and researchers to guide review processes and research.</p></article>", "keywords": ["Technology", "550", "Bodenanalyse", "Modell", "SPHAGNUM MOSS", "Environmental technology. Sanitary engineering", "630", "Ing\u00e9nierie", " informatique & technologie", "Biogeochemical process", "Earth and Planetary Sciences (miscellaneous)", "Geography. Anthropology. Recreation", "GE1-350", "SATURATED HYDRAULIC CONDUCTIVITY", "Geosciences", " Multidisciplinary", "TD1-1066", "Water Science and Technology", "2. Zero hunger", "T", "Geology", "Hydraulics effects", "Agriculture & agronomy", "Life sciences", "Daten", "Pedo-transfer functions", "6. Clean water", "Soil hydraulics", "REFLECTANCE SPECTROSCOPY", "Roadmap", "Physical Sciences", "Sciences du vivant", "Water Resources", "SOIL-WATER-RETENTION", "0406 Physical Geography and Environmental Geoscience", "3709 Physical geography and environmental geoscience", "Process-based modeling", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "PHYSICAL-PROPERTIES", "SENSITIVITY-ANALYSIS", "Soil hydraulic properties", "0905 Civil Engineering", "333", "G", "Physical", " chemical", " mathematical & earth Sciences", "Empirical model", "Agriculture & agronomie", "Life Science", "UNSATURATED CONDUCTIVITY", "SEASONAL-CHANGES", "Pedotransfer functions", "HYSTERETIC MOISTURE PROPERTIES", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Physikochemische Bodeneigenschaft", "500", "15. Life on land", "Engineering", " computing & technology", "Sciences de la terre & g\u00e9ographie physique", "Environmental sciences", "0907 Environmental Engineering", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "Earth sciences & physical geography", "HETEROGENEOUS SOILS", "4013 Geomatic engineering", "ITC-GOLD", "Hydrological process"]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/321088/1/hess-28-3391-2024.pdf"}, {"href": "https://hess.copernicus.org/articles/28/3391/2024/hess-28-3391-2024.pdf"}, {"href": "https://doi.org/20.500.11850/688246"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11850/688246", "name": "item", "description": "20.500.11850/688246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/688246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-29T00:00:00Z"}}, {"id": "21.11116/0000-0003-863B-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "type": "Journal Article", "created": "2019-01-04", "title": "14C\u2010Free Carbon Is a Major Contributor to Cellular Biomass in Geochemically Distinct Groundwater of Shallow Sedimentary Bedrock Aquifers", "description": "Abstract<p>Despite the global significance of the subsurface biosphere, the degree to which it depends on surface organic carbon (OC) is still poorly understood. Here, we compare stable and radiogenic carbon isotope compositions of microbial phospholipid fatty acids (PLFAs) with those of in situ potential microbial C sources to assess the major C sources for subsurface microorganisms in biogeochemical distinct shallow aquifers (Critical Zone Exploratory, Thuringia Germany). Despite the presence of younger OC, the microbes assimilated 14C\uffe2\uff80\uff90free OC to varying degrees; ~31% in groundwater within the oxic zone, ~47% in an iron reduction zone, and ~70% in a sulfate reduction/anammox zone. The persistence of trace amounts of mature and partially biodegraded hydrocarbons suggested that autochthonous petroleum\uffe2\uff80\uff90derived hydrocarbons were a potential 14C\uffe2\uff80\uff90free C source for heterotrophs in the oxic zone. In this zone, \uffce\uff9414C values of dissolved inorganic carbon (\uffe2\uff88\uff92366\uffc2\uffa0\uffc2\uffb1\uffc2\uffa018\uffe2\uff80\uffb0) and 11MeC16:0 (\uffe2\uff88\uff92283\uffc2\uffa0\uffc2\uffb1\uffc2\uffa032\uffe2\uff80\uffb0), an important component in autotrophic nitrite oxidizers, were similar enough to indicate that autotrophy is an important additional C fixation pathway. In anoxic zones, methane as an important C source was unlikely since the 13C\uffe2\uff80\uff90fractionations between the PLFAs and CH4 were inconsistent with kinetic isotope effects associated with methanotrophy. In the sulfate reduction/anammox zone, the strong 14C\uffe2\uff80\uff90depletion of 10MeC16:0 (\uffe2\uff88\uff92942\uffc2\uffa0\uffc2\uffb1\uffc2\uffa022\uffe2\uff80\uffb0), a PLFA common in sulfate reducers, indicated that those bacteria were likely to play a critical part in 14C\uffe2\uff80\uff90free sedimentary OC cycling. Results indicated that the 14C\uffe2\uff80\uff90content of microbial biomass in shallow sedimentary aquifers results from complex interactions between abundance and bioavailability of naturally occurring OC, hydrogeology, and specific microbial metabolisms.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "assimilation", "Environmental Engineering", "Environmental engineering", "Geology", "subsurface", "15. Life on land", "Civil Engineering", "Physical Geography and Environmental Geoscience", "6. Clean water", "03 medical and health sciences", "Geochemistry", "13. Climate action", "C cycling", "Earth Sciences", "radiocarbon", "PLFA", "microbial function", "Civil engineering", "Hydrology", "Research Articles"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022067"}, {"href": "https://escholarship.org/content/qt28c3v5mf/qt28c3v5mf.pdf"}, {"href": "https://doi.org/21.11116/0000-0003-863B-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-0003-863B-4", "name": "item", "description": "21.11116/0000-0003-863B-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0003-863B-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "21.11116/0000-0007-B413-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "type": "Journal Article", "created": "2020-06-29", "title": "The age distribution of global soil carbon inferred from radiocarbon measurements", "description": "Soils contain more carbon than the atmosphere and vegetation combined. An increased flow of carbon from the atmosphere into soil pools could help mitigate anthropogenic emissions of carbon dioxide and climate change. Yet we do not know how quickly soils might respond because the age distribution of soil carbon is uncertain. Here we used 789 radiocarbon (\u220614C) profiles, along with other geospatial information, to create globally gridded datasets of mineral soil \u220614C and mean age. We found that soil depth is a primary driver of \u220614C, whereas climate (for example, mean annual temperature) is a major control on the spatial pattern of \u220614C in surface soil. Integrated to a depth of 1\u2009m, global soil carbon has a mean age of 4,830\u2009\u00b1\u20091,730\u2009yr, with older carbon in deeper layers and permafrost regions. In contrast, vertically resolved land models simulate \u220614C values that imply younger carbon ages and a more rapid carbon turnover. Our data-derived estimates of older mean soil carbon age suggest that soils will accumulate less carbon than predicted by current Earth system models over the twenty-first century. Reconciling these models with the global distribution of soil radiocarbon will require a better representation of the mechanisms that control carbon persistence in soils. Soils may accumulate less carbon and with a slower turnover than Earth system models predict, according to analysis of the age distribution of global soil carbon, which finds that the mean age of soil carbon is older than that in simulated in models.", "keywords": ["0301 basic medicine", "15. Life on land", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Meteorology & Atmospheric Sciences (science-metrix)", "Climate Action", "03 medical and health sciences", "37 Earth Sciences (for-2020)", "3709 Physical Geography and Environmental Geoscience (for-2020)", "13. Climate action", "Earth Sciences", "Meteorology & Atmospheric Sciences", "13 Climate Action (sdg)", "3709 Physical geography and environmental geoscience (for-2020)", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0596-z.pdf"}, {"href": "https://escholarship.org/content/qt2738s2mj/qt2738s2mj.pdf"}, {"href": "https://doi.org/21.11116/0000-0007-B413-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-0007-B413-8", "name": "item", "description": "21.11116/0000-0007-B413-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0007-B413-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-29T00:00:00Z"}}, {"id": "2164/6134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:27Z", "type": "Journal Article", "created": "2016-05-13", "title": "Modeling Soil Processes: Review, Key Challenges, and New Perspectives", "description": "Core Ideas                     <p>                                                                           <p>A community effort is needed to move soil modeling forward.</p>                                                                             <p>Establishing an international soil modeling consortium is key in this respect.</p>                                                                             <p>There is a need to better integrate existing knowledge in soil models.</p>                                                                             <p>Integration of data and models is a key challenge in soil modeling.</p>                                                                     </p>                     <p>The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate\uffe2\uff80\uff90change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.</p>", "keywords": ["organic-matter dynamics", "550", "Sciences de l\u2019environnement & \u00e9cologie", "QH301 Biology", "Knowledge management", "0208 environmental biotechnology", "ECOSYSTEM SERVICES", "02 engineering and technology", "soil processes", "01 natural sciences", "Physical Geography and Environmental Geoscience", "Sciences de la Terre", "Biological process", "ANZSRC::3707 Hydrology", "DROUGHT SEVERITY INDEX", "SYNTHETIC-APERTURE RADAR", "ANZSRC::4106 Soil sciences", "SDG 13 - Climate Action", "Climate change", "0503 Soil Sciences", "GROUND-PENETRATING RADAR", "Integration of knowledge", "Life sciences", "ANZSRC::050399 Soil Sciences not elsewhere classified", "synthetic-aperture radar", "Physical Sciences", "Water Resources", "Knowledge and experience", "MULTIPLE ECOSYSTEM SERVICES", "knowledge integration", "570", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "Environmental Engineering", "Physique", " chimie", " math\u00e9matiques & sciences de la terre", "Scientific discipline", "0703 Crop and Pasture Production", "0207 environmental engineering", "Soil Science", "soil science", "ORGANIC-MATTER DYNAMICS", "DATA ASSIMILATION", "Physical", " chemical", " mathematical & earth Sciences", "ANZSRC::0503 Soil Sciences", "Science disciplines", "PEDOTRANSFER FUNCTIONS", "Feedback mechanisms", "mod\u00e9lisation", "ground-penetrating radar", "Science & Technology", "ANZSRC::080110 Simulation and Modelling", "15. Life on land", "Sciences de la terre & g\u00e9ographie physique", "multiple ecosystem services", "root water-uptake", "Observation and measurement", "DIGITAL ELEVATION MODEL", "Quality of predictions", "SATURATED-UNSATURATED FLOW", "ARBUSCULAR MYCORRHIZAL FUNGI", "sciences du sol", "HYDRAULIC-PROPERTIES", "2. Zero hunger", "Agriculture", "diffuse-reflectance spectroscopy", "4106 Soil sciences", "ORGANIC-MATTER", "digital elevation model", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Sciences du vivant", "Uncertainty analysis", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "Crop and Pasture Production", "101028 Mathematical modelling", "international soil modeling consortium", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Environmental Sciences & Ecology", "arbuscular mycorrhizal fungi", "Ecosystems", "Climate models", "QH301", "Environmental sciences & ecology", "Life Science", "SEDIMENT TRANSPORT MODELS", "data integration", "sediment transport models", "approche ecosyst\u00e9mique", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "3707 Hydrology", "soil modeling", "ROOT WATER-UPTAKE", "SOLUTE TRANSPORT", "13. Climate action", "Earth and Environmental Sciences", "Soil Sciences", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Earth Sciences", "Earth sciences & physical geography", "Soils", "101028 Mathematische Modellierung", "saturated-unsaturated flow", "Environmental Sciences", "root water-uptake", " sediment transport models", " diffuse-reflectance spectroscopy", " arbuscular mycorrhizal fungi", " multiple ecosystem services", " saturated-unsaturated flow", " ground-penetrating radar", " synthetic-aperture radar", " digital elevation model", " organic-matter dynamics."]}, "links": [{"href": "https://orbi.uliege.be/bitstream/2268/263634/1/Vereecken%20VZJ%202016.pdf"}, {"href": "http://onlinelibrary.wiley.com/wol1/doi/10.2136/vzj2015.09.0131/fullpdf"}, {"href": "https://escholarship.org/content/qt6976n34c/qt6976n34c.pdf"}, {"href": "https://doi.org/2164/6134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Vadose%20Zone%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/6134", "name": "item", "description": "2164/6134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/6134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-05-01T00:00:00Z"}}, {"id": "3092863269", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:55Z", "type": "Journal Article", "created": "2020-10-16", "title": "Remobilization of dormant carbon from Siberian-Arctic permafrost during three past warming events", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Arctic Ocean sediments reveal permafrost thaw and carbon release during three large warming events of the past 27,000 years.</p></article>", "keywords": ["0301 basic medicine", "13 Climate Action", "0303 health sciences", "03 medical and health sciences", "13. Climate action", "37 Earth Sciences", "3705 Geology", "3709 Physical Geography and Environmental Geoscience", "15. Life on land", "Research Articles"]}, "links": [{"href": "https://doi.org/3092863269"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3092863269", "name": "item", "description": "3092863269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3092863269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-16T00:00:00Z"}}, {"id": "3207901193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:26:05Z", "type": "Journal Article", "created": "2021-10-21", "title": "Sentinel-2 Recognition of Uncovered and Plastic Covered Agricultural Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Medium resolution satellite data, such as Sentinel-2 of the Copernicus programme, offer great new opportunities for the agricultural sector, and provide insights on soil surface characteristics and their management. Soil monitoring requires a high-quality dataset of uncovered and plastic covered agricultural soil. We developed a methodology to identify uncovered soil pixels in agricultural parcels during seedbed preparation and considered the impacts of clouds and shadows, vegetation cover, and artificial covers, such as those of greenhouses and plastic mulch films. We preserved the spatial and temporal integrity of parcels in the process and analysed spectral anomalies and their sources. The approach is based on freely available tools, namely Google Earth Engine and R Programming packages. We tested the methodology on the northern region of Belgium, which is characterised by small, fragmented parcels. We selected a period between mid-April to end-May, when active agricultural management practices leave the soil bare in preparation for the main cropping season. The spectral angle mapper was used to identify soil covered by non-plastic greenhouses or temporary soil covers, such as plastic mulch films. The effect of underlying soil on temporary covers was considered. The retrogressive plastic greenhouse index was used for detecting plastic greenhouses. The result was a high quality dataset of potential bare uncovered agricultural soil that allows further soil surface characterisation. This offered an improved understanding of the use of artificial covers, their spatial distribution, and their corresponding crops during the considered period. Artificial covers occurred most frequently in maize parcels. The approach resulted in precision values exceeding 0.9 for the detection of temporary covers and non-plastic greenhouses and a sensitivity value exceeding 0.95 for non-plastic and plastic greenhouses.</p></article>", "keywords": ["Technology", "SURFACE", "Science", "Environmental Sciences & Ecology", "TEXTURE", "artificial cover", "ALMERIA", "0203 Classical Physics", "soil", "Remote Sensing", "SUPPORT", "0909 Geomatic Engineering", "Geosciences", " Multidisciplinary", "Imaging Science & Photographic Technology", "agriculture", "2. Zero hunger", "plastic mulch", "Science & Technology", "IDENTIFICATION", "soil; agriculture; Sentinel-2; artificial cover; plastic mulch", "Q", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "CLOUD", "REFLECTANCE", "RESOLUTION", "13. Climate action", "Physical Sciences", "0401 agriculture", " forestry", " and fisheries", "4013 Geomatic engineering", "Sentinel-2", "GREENHOUSE", "0406 Physical Geography and Environmental Geoscience", "Life Sciences & Biomedicine", "3701 Atmospheric sciences", "Environmental Sciences", "3709 Physical geography and environmental geoscience"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/21/4195/pdf"}, {"href": "https://doi.org/3207901193"}, {"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": "3207901193", "name": "item", "description": "3207901193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3207901193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-20T00:00:00Z"}}, {"id": "PMC7567595", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:28:04Z", "type": "Journal Article", "created": "2020-10-16", "title": "Remobilization of dormant carbon from Siberian-Arctic permafrost during three past warming events", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Arctic Ocean sediments reveal permafrost thaw and carbon release during three large warming events of the past 27,000 years.</p></article>", "keywords": ["0301 basic medicine", "13 Climate Action", "0303 health sciences", "03 medical and health sciences", "13. Climate action", "37 Earth Sciences", "3705 Geology", "3709 Physical Geography and Environmental Geoscience", "15. Life on land", "Research Articles"]}, "links": [{"href": "https://doi.org/PMC7567595"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC7567595", "name": "item", "description": "PMC7567595", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC7567595"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-16T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+geography+and+environmental+geoscience&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+geography+and+environmental+geoscience&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+geography+and+environmental+geoscience&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Physical+geography+and+environmental+geoscience&offset=33", "hreflang": "en-US"}], "numberMatched": 33, "numberReturned": 33, "distributedFeatures": [], "timeStamp": "2026-05-26T02:00:51.320981Z"}