{"type": "FeatureCollection", "features": [{"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract<p>Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real\uffe2\uff80\uff90world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first\uffe2\uff80\uff90order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth\uffe2\uff80\uff90dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool\uffe2\uff80\uff90 and flux\uffe2\uff80\uff90based data sets through data assimilation is among the highest priorities for near\uffe2\uff80\uff90term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.</p>", "keywords": ["550", "LAND MODELS", "Oceanography", "HETEROTROPHIC RESPIRATION", "01 natural sciences", "Atmospheric Sciences", "LITTER DECOMPOSITION", "ORGANIC-CARBON", "Geoinformatics", "GLOBAL CLIMATE-CHANGE", "DATA-ASSIMILATION", "Meteorology & Atmospheric Sciences", "TEMPERATURE SENSITIVITY", "CMIP5", "MICROBIAL MODELS", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Earth system models", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "TERRESTRIAL ECOSYSTEMS", "Climate Action", "Geochemistry", "Climate change impacts and adaptation", "realistic projections", "13. Climate action", "recommendations", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon dynamics", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Climate Change Impacts and Adaptation", "Environmental Sciences", "PARAMETER-ESTIMATION"]}, "links": [{"href": "https://escholarship.org/content/qt1pw7g2r2/qt1pw7g2r2.pdf"}, {"href": "https://doi.org/10.1002/2015gb005239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015gb005239", "name": "item", "description": "10.1002/2015gb005239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015gb005239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1007/s004420100656", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:42Z", "type": "Journal Article", "created": "2003-02-13", "title": "Fine-Root Biomass And Fluxes Of Soil Carbon In Young Stands Of Paper Birch And Trembling Aspen As Affected By Elevated Atmospheric Co2 And Tropospheric O3", "description": "Rising atmospheric CO2 may stimulate future forest productivity, possibly increasing carbon storage in terrestrial ecosystems, but how tropospheric ozone will modify this response is unknown. Because of the importance of fine roots to the belowground C cycle, we monitored fine-root biomass and associated C fluxes in regenerating stands of trembling aspen, and mixed stands of trembling aspen and paper birch at FACTS-II, the Aspen FACE project in Rhinelander, Wisconsin. Free-air CO2 enrichment (FACE) was used to elevate concentrations of CO2 (average enrichment concentration 535\u00a0\u00b5l l-1) and O3 (53\u00a0nl l-1) in developing forest stands in 1998 and 1999. Soil respiration, soil pCO2, and dissolved organic carbon in soil solution (DOC) were monitored biweekly. Soil respiration was measured with a portable infrared gas analyzer. Soil pCO2 and DOC samples were collected from soil gas wells and tension lysimeters, respectively, at depths of 15, 30, and 125\u00a0cm. Fine-root biomass averaged 263\u00a0g m-2 in control plots and increased 96% under elevated CO2. The increased root biomass was accompanied by a 39% increase in soil respiration and a 27% increase in soil pCO2. Both soil respiration and pCO2 exhibited a strong seasonal signal, which was positively correlated with soil temperature. DOC concentrations in soil solution averaged ~12\u00a0mg l-1 in surface horizons, declined with depth, and were little affected by the treatments. A simplified belowground C budget for the site indicated that native soil organic matter still dominated the system, and that soil respiration was by far the largest flux. Ozone decreased the above responses to elevated CO2, but effects were rarely statistically significant. We conclude that regenerating stands of northern hardwoods have the potential for substantially greater C input to soil due to greater fine-root production under elevated CO2. Greater fine-root biomass will be accompanied by greater soil C efflux as soil respiration, but leaching losses of C will probably be unaffected.", "keywords": ["0106 biological sciences", "Ecology and Evolutionary Biology", "Aspen-FACE-project", "root-", "USA-", "pollutants-", "Environmental-Sciences)", "tropospheric-ozone", "forest-productivity", "01 natural sciences", "biomass-", "northern-forests", "124-38-9: CARBON DIOXIDE", "soil-carbon-flux", "terrestrial-ecosystems", "populus-tremuloides", "Cellular and Developmental Biology", "soil-carbon", "7440-44-0: CARBON", "carbon-", "fine-root", "Bioenergetics- (Biochemistry-and-Molecular-Biophysics)", "Natural Resources and Environment", "04 agricultural and veterinary sciences", "GLOBAL-ECOLOGY", "North-America", "Nearctic-region)", "Rhinelander- (Wisconsin-", "carbon-sequestration", "atmosphere-", "biomass-production", "dissolved-organic-carbon [DOC-]", "Science", "respiration-", "carbon-dioxide-enrichment", "forest-plantations", "carbon-dioxide", "carbon-storage", "fine-root-biomass", "belowground-biomass", "United-States-Wisconsin-Rhinelander", "carbon-cycle", "Health Sciences", "ozone-", "soil-respiration", "air-pollution", "global-change", "atmospheric-carbon-dioxide", "biomass", "Molecular", "15. Life on land", "ozone", "13. Climate action", "roots-", "Legacy", "Terrestrial-Ecology (Ecology-", "free-air-carbon-dioxide-enrichment [FREE-]: experimental-method", "0401 agriculture", " forestry", " and fisheries", "Northern Forests Global Change Carbon Sequestration Soil Respiration Dissolved Organic Carbon Soil PCO2"]}, "links": [{"href": "https://doi.org/10.1007/s004420100656"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s004420100656", "name": "item", "description": "10.1007/s004420100656", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s004420100656"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-07-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2013.01.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:37Z", "type": "Journal Article", "created": "2013-03-20", "title": "Changes In Soil Carbon And Nitrogen Following Tillage Conversion In A Long-Term Experiment In Northern France", "description": "Although continuous no-till (NT) is recommended for erosion control and carbon sequestration, it often has a limited duration since farmers alternate between NT and full inversion tillage (FIT) to control weed infestation and avoid soil compaction. In this paper, we evaluate the effect of continuous tillage and tillage conversion of NT to FIT and vice versa on SOC and SON stocks, in a long-term experiment at Boigneville in Northern France. Continuous NT (CNT) and FIT (CFIT) treatments were established in 1991 and maintained until 2011 while half of the plots were converted in 2005: from CNT to new FIT (NFIT) and CFIT to new NT (NNT). Bulk densities and organic C and N contents were determined in 2001 and 2011 down to the old ploughing depth (opd) which was also measured. SOC and SON stocks were calculated at equivalent soil mass by correcting either bulk densities or the opd. Both methods produced very close results and similar conclusions. A typical gradient of SOC and SON concentrations vs depth was observed in CNT as opposed to a rather uniform distribution in CFIT. CNT resulted in SOC concentration in the top soil (0-5 cm) higher by 38% in 2001 and 53% in 2011 compared to CFIT. Conversely, it led to a SOC reduction in the deeper layer (ca. 10-28 cm) by 14% in 2001 and 18% in 2011. The global effect was no significant change in SOC and SON stocks between treatments over the old ploughed layer (4060 t soil ha(-1)) in both years: 43.2 and 45.0 t C ha(-1) in 2001 and 44.7 and 45.8 t C ha(-1) in 2011, in CNT and CFIT, respectively. In 2011, six years after tillage conversion, the stratification of SOC and SON had disappeared in NFIT whereas a new one had appeared in NNT with a smaller gradient than in CNT. SOC or SON stocks over the old ploughed layer did not differ significantly between treatments after 6 years of conversion: SOC stocks were 45.8, 43.2, 44.7 and 43.1 t C ha(-1) in the CFIT, NFIT, CNT and NNT treatments, respectively. Furthermore, SOC stocks below the old ploughed layer (ca. 28-40 cm) were slightly greater in FIT than in NT treatment (10.9 vs 8.7 t C ha(-1)). In this experiment, continuous or conversion tillage did not result in any C sequestration benefit. (c) 2013 Elsevier B.V. All rights reserved.", "keywords": ["IMPACTS", "[SDE] Environmental Sciences", "Soil nitrogen", "[SDV]Life Sciences [q-bio]", "SEQUESTRATION", "630", "Tillage", "MOIST", "Long-term", "ORGANIC-CARBON", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "Full inversion tillage", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology", "SOC", "CONSERVATION TILLAGE", "2. Zero hunger", "GREAT-PLAINS", "Soil organic carbon", "TEMPERATE", "04 agricultural and veterinary sciences", "15. Life on land", "No till", "NO-TILL", "[SDV] Life Sciences [q-bio]", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "MATTER", "SYSTEM"], "contacts": [{"organization": "Dimassi, Bassem, Cohan, Jean-Pierrre, Labreuche, Jerome, Mary, Bruno, B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2013.01.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2013.01.012", "name": "item", "description": "10.1016/j.agee.2013.01.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2013.01.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2016.04.009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:46Z", "type": "Journal Article", "created": "2016-04-27", "title": "Irrigation Regime Affected Soc Content Rather Than Plow Layer Thickness Of Rice Paddies: A County Level Survey From A River Basin In Lower Yangtze Valley, China", "description": "Abstract   While the impacts of farm management practices such as fertilization, tillage and straw return on soil organic carbon dynamics in croplands have been widely studied, the effects of irrigation management in irrigated rice paddies have not yet been widely assessed. Changes in plow layer thickness and soil organic carbon content of rice paddies were analyzed using data obtained in a county-level survey of soil fertility conducted in 2005 and 2006 in Guichi County, Anhui Province, China. Both soil thickness and organic carbon content of plow layer showed skewed normal distributions, with their averages of 14.58\u00a0\u00b1\u00a03.92\u00a0cm, and 16.45\u00a0\u00b1\u00a06.02\u00a0g/kg, respectively. The irrigation method was found to have significant influences on both plow layer thickness and soil organic carbon content, as the plow layer thickness and soil organic carbon content had an inverse response to the irrigation intensity derived from different irrigation methods. The land-level performance of irrigation/drainage infrastructure and the irrigation water sources were detected to have significant effect on plow layer thickness, but little influence on soil organic carbon content. While the capacity of irrigation/drainage infrastructure had a remarkable effect on soil organic carbon content but little impact on plow layer thickness. However, the irrigation condition for surveyed fields was detected to have little effect on both plow layer thickness and soil organic carbon content. These results indicated that irrigation management should keep the balance between surface erosion on plow layer thickness and soil organic carbon accumulation. Hence, developing new technique for good irrigation infrastructure and water management in future will help soil organic carbon accumulation as well as improve the soil for enhanced crop growth in rice agriculture.", "keywords": ["330", "QH301 Biology", "01 natural sciences", "QH301", "water management", "land-use", "sequential reduction processes", "P losses", "fields", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "2. Zero hunger", "Soil organic carbon", "04 agricultural and veterinary sciences", "Irrigation water source", "15. Life on land", "topsoil organic-carbon", "6. Clean water", "lowland rice", "Irrigation management", "13. Climate action", "soil colloidal suspensions", "0401 agriculture", " forestry", " and fisheries", "Rice paddy", "lake region", "stability behavior", "Soil thickness"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2016.04.009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2016.04.009", "name": "item", "description": "10.1016/j.agwat.2016.04.009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2016.04.009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2021.118128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:21Z", "type": "Journal Article", "created": "2021-09-09", "title": "Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy", "description": "Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. Climate action", "Earth and Environmental Sciences", "Synthetic minority over-sampling technique", "0401 agriculture", " forestry", " and fisheries", "HEAVY-METAL CONCENTRATIONS", "Cadmium"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2021.118128"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2021.118128", "name": "item", "description": "10.1016/j.envpol.2021.118128", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2021.118128"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2013.01.040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:20Z", "type": "Journal Article", "created": "2013-02-20", "title": "Greenhouse Gas Emissions From A Wheat-Maize Double Cropping System With Different Nitrogen Fertilization Regimes", "description": "Here, we report on a two-years field experiment aimed at the quantification of the emissions of nitrous oxide (N2O) and methane (CH4) from the dominant wheat-maize double cropping system in North China Plain. The experiment had 6 different fertilization strategies, including a control treatment, recommended fertilization, with and without straw and manure applications, and nitrification inhibitor and slow release urea. Application of N fertilizer slightly decreased CH4 uptake by soil. Direct N2O emissions derived from recommended urea application was 0.39% of the annual urea-N input. Both straw and manure had relatively low N2O emissions factors. Slow release urea had a relatively high emission factor. Addition of nitrification inhibitor reduced N2O emission by 55%. We conclude that use of nitrification inhibitors is a promising strategy for N2O mitigation for the intensive wheat-maize double cropping systems.", "keywords": ["Greenhouse Effect", "China", "oxide emissions", "Nitrogen Dioxide", "organic-carbon", "n2o emissions", "Zea mays", "01 natural sciences", "field experiments", "12. Responsible consumption", "Soil", "calcareous soil", "Air Pollution", "Fertilizers", "Triticum", "0105 earth and related environmental sciences", "2. Zero hunger", "Air Pollutants", "north china plain", "Agriculture", "temperate forest soils", "04 agricultural and veterinary sciences", "15. Life on land", "13. Climate action", "nitrification inhibitor", "0401 agriculture", " forestry", " and fisheries", "agricultural soils", "3", "4-dimethylpyrazole phosphate dmpp", "Methane", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2013.01.040"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2013.01.040", "name": "item", "description": "10.1016/j.envpol.2013.01.040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2013.01.040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-01T00:00:00Z"}}, {"id": "10.1111/gcbb.12401", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:26Z", "type": "Journal Article", "created": "2016-09-03", "title": "Investigating The Biochar Effects On C-Mineralization And Sequestration Of Carbon In Soil Compared With Conventional Amendments Using The Stable Isotope (Delta C-13) Approach", "description": "Abstract<p>Biomass\uffe2\uff80\uff90derived black carbon (biochar) is considered to be an effective tool to mitigate global warming by long\uffe2\uff80\uff90term C\uffe2\uff80\uff90sequestration in soil and to influence C\uffe2\uff80\uff90mineralization via priming effects. However, the underlying mechanism of biochar (BC) priming relative to conventional biowaste (BW) amendments remains uncertain. Here, we used a stable carbon isotope (\uffce\uffb413C) approach to estimate the possible biochar effects on native soil C\uffe2\uff80\uff90mineralization compared with various BW additions and potential carbon sequestration. The results show that immediately after application, BC suppresses and then increases C\uffe2\uff80\uff90mineralization, causing a loss of 0.14\uffe2\uff80\uff937.17\uffc2\uffa0mg\uffe2\uff80\uff90CO2\uffe2\uff80\uff93C\uffc2\uffa0g\uffe2\uff88\uff921\uffe2\uff80\uff90C compared to the control (0.24\uffe2\uff80\uff931.86\uffc2\uffa0mg\uffe2\uff80\uff90CO2\uffe2\uff80\uff93C\uffc2\uffa0g\uffe2\uff88\uff921\uffe2\uff80\uff90C) over 1\uffe2\uff80\uff93120\uffc2\uffa0days. Negative priming was observed for BC compared to various BW amendments (\uffe2\uff88\uff9210.22 to \uffe2\uff88\uff9223.56\uffc2\uffa0mg\uffe2\uff80\uff90CO2\uffe2\uff80\uff93C\uffc2\uffa0g\uffe2\uff88\uff921\uffe2\uff80\uff90soil\uffe2\uff80\uff90C); however, it was trivially positive relative to that of the control (8.64\uffc2\uffa0mg\uffe2\uff80\uff90CO2\uffe2\uff80\uff93C\uffc2\uffa0g\uffe2\uff88\uff921\uffe2\uff80\uff90soil\uffe2\uff80\uff90C). Furthermore, according to the residual carbon and \uffce\uffb413C signature of postexperimental soil carbon, BC\uffe2\uff80\uff90C significantly increased (P\uffc2\uffa0&lt;\uffc2\uffa00.05) the soil carbon stock by carbon sequestration in soil compared with various biowaste amendments. The results of cumulative CO2\uffe2\uff80\uff93C emissions, relative priming effects, and carbon storage indicate that BC reduces C\uffe2\uff80\uff90mineralization, resulting in greater C\uffe2\uff80\uff90sequestration compared with other BW amendments, and the magnitude of this effect initially increases and then decreases and stabilizes over time, possibly due to the presence of recalcitrant\uffe2\uff80\uff90C (4.92\uffc2\uffa0mg\uffe2\uff80\uff90C\uffc2\uffa0g\uffe2\uff88\uff921\uffe2\uff80\uff90soil) in BC, the reduced microbial activity, and the sorption of labile organic carbon (OC) onto BC particles.</p>", "keywords": ["Technology", "Energy & Fuels", "550", "SEA-LEVEL RISE", "PYROLYSIS TEMPERATURE", "WORLD", "DISSOLVED ORGANIC-CARBON", "ATMOSPHERIC CO2", "EMISSIONS", "Science & Technology", "MICROBIAL BIOMASS", "Agriculture", "Biowaste", "04 agricultural and veterinary sciences", "15. Life on land", "Priming Effects", "Carbon Mineralization", "Agronomy", "Carbon Stable Isotope", "Biochar", "Biotechnology & Applied Microbiology", "POOLS", "13. Climate action", "SHORT-TERM", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "MATTER", "C-sequestration"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12401"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12401", "name": "item", "description": "10.1111/gcbb.12401", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12401"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-29T00:00:00Z"}}, {"id": "10.1016/j.foreco.2013.11.024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:33Z", "type": "Journal Article", "created": "2013-12-11", "title": "Soil Carbon And Nitrogen Sequestration Over An Age Sequence Of Pinus Patula Plantations In Zimbabwean Eastern Highlands", "description": "Forests play a major role in regulating the rate of increase of global atmospheric carbon dioxide (CO2) concentrations creating a need to investigate the ability of exotic plantations to sequester atmospheric CO2. This study examined pine plantations located in the Eastern Highlands of Zimbabwe relative to carbon (C) and nitrogen (N) storage along an age series. Samples of stand characteristics, forest floor (L, F and H) and 0\u201310, 10\u201330 and 30\u201360 cm soil depth were randomly taken from replicated stands in Pinus patula Schiede & Deppe of 1, 10, 20, 25, and 30 years plus two natural forests. Sodium polytungstate (density 1.6 g cm\u22123) was used to isolate organic matter into free light fraction (fLF), occluded light fraction (oLF) and mineral associated heavy fraction (MaHF). In both natural and planted forests, above ground tree biomass was the major ecosystem C pool followed by forest floor\u2019s humus (H) layer in addition to the 45%, 31% and 24% of SOC contributed by the 0\u201310, 10\u201330 and 30\u201360 cm soil depths respectively. Stand age caused significant differences in total organic C and N stocks. Carbon and N declined initially soon after establishment but recovered rapidly at 10 years, after which it declined following silvicultural operations (thinning and pruning) and recovered again by 25 years. Soil C and N stocks were highest in moist forest (18.3 kg C m\u22122 and 0.66 kg of N m\u22122) and lowest in the miombo (8.5 kg m\u22122 of C and 0.22 kg of N m\u22122). Average soil C among Pinus stands was 11.4 kg of C m\u22122, being highest at 10 years (13.7 of C kg m\u22122) and lowest at 1 year (9.9 kg of C m\u22122). Some inputs of charcoal through bioturbation over the 25 year period contributed to stabilisation of soil organic carbon (SOC) and its depth distribution compared to the one year old stands. Nitrogen was highest at 10 years (0.85 kg of N m\u22122) and least at 30 years (0.22 kg of N m\u22122). Carbon and N in density fractions showed the 20 year old stand having similar proportions of fLF and oLF while the rest had significantly higher fLF than oLF. The contribution of fLF C, oLF C and MaHF C to SOC was 8\u201313%, 1\u20137% and 90\u201391% respectively. Carbon and N in all fractions decreased with depth. The mineral associated C was significantly affected by stand age whilst the fLF and oLF were not. Conversion of depleted miombo woodlands to pine plantations yield better C gains in the short and long run whilst moist forest provide both carbon and biodiversity. Our results highlight the importance of considering forestry age based C pools in estimating C sink potential over a rotation and the possibility of considering conservation of existing natural forests as part of future REDD + projects.", "keywords": ["0106 biological sciences", "Technology", "Economics", "vertical-distribution", "organic-carbon", "Soil Science", "natural resources management", "01 natural sciences", "630", "agroforestry", "forest floor", "storage", "land-use", "climate", "agriculture", "tropical forests", "2. Zero hunger", "tree plantations", "biomass", "forestry", "Production", "sequestration", "Agriculture-Farming", "04 agricultural and veterinary sciences", "15. Life on land", "matter", "soil organic carbon", "13. Climate action", "pinus patula", "ne germany", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2013.11.024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2013.11.024", "name": "item", "description": "10.1016/j.foreco.2013.11.024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2013.11.024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-02-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2011.09.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:39Z", "type": "Journal Article", "created": "2011-11-03", "title": "Soil Carbon Stock In The Tropical Rangelands Of Australia: Effects Of Soil Type And Grazing Pressure, And Determination Of Sampling Requirement", "description": "On-going, high-profile public debate about climate change has focussed attention on how to monitor the soil organic carbon stock (C(s)) of rangelands (savannas). Unfortunately, optimal sampling of the rangelands for baseline C(s) - the critical first step towards efficient monitoring - has received relatively little attention to date. Moreover, in the rangelands of tropical Australia relatively little is known about how C(s) is influenced by the practice of cattle grazing. To address these issues we used linear mixed models to: (i) unravel how grazing pressure (over a 12-year period) and soil type have affected C(s) and the stable carbon isotope ratio of soil organic carbon (delta(13)C) (a measure of the relative contributions of C(3) and C(4) vegetation to C(s)); (ii) examine the spatial covariation of C(s) and delta(13)C; and, (iii) explore the amount of soil sampling required to adequately determine baseline C(s). Modelling was done in the context of the material coordinate system for the soil profile, therefore the depths reported, while conventional, are only nominal. Linear mixed models revealed that soil type and grazing pressure interacted to influence C(s) to a depth of 0.3 m in the profile. At a depth of 0.5 m there was no effect of grazing on C(s), but the soil type effect on C(s) was significant. Soil type influenced delta(13)C to a soil depth of 0.5 m but there was no effect of grazing at any depth examined. The linear mixed model also revealed the strong negative correlation of C(s) with delta(13)C, particularly to a depth of 0.1 m in the soil profile. This suggested that increased C(s) at the study site was associated with increased input of C from C(3) trees and shrubs relative to the C(4) perennial grasses; as the latter form the bulk of the cattle diet, we contend that C sequestration may be negatively correlated with forage production. Our baseline C(s) sampling recommendation for cattle-grazing properties of the tropical rangelands of Australia is to: (i) divide the property into units of apparently uniform soil type and grazing management; (ii) use stratified simple random sampling to spread at least 25 soil sampling locations about each unit, with at least two samples collected per stratum. This will be adequate to accurately estimate baseline mean C(s) to within 20% of the true mean, to a nominal depth of 0.3 m in the profile.", "keywords": ["2. Zero hunger", "Residual Maximum-Likelihood", "Bulk-Density", "550", "Agriculture and the environment", "Depth Functions", "Sequestration", "04 agricultural and veterinary sciences", "15. Life on land", "Vegetation Change", "Minimization", "Organic-Carbon", "Soil and crops. Soil-plant relationships. Soil productivity", "13. Climate action", "Savanna", "Rangelands", "0401 agriculture", " forestry", " and fisheries", "Carbon stock", "Residual maximum likelihood (REML)", "Geostatistics", "Variability", "Sampling", "Rangelands. Range management. Grazing", "1111 Soil Science", "Model"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2011.09.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2011.09.001", "name": "item", "description": "10.1016/j.geoderma.2011.09.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2011.09.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2019.03.028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:25Z", "type": "Journal Article", "created": "2019-04-01", "title": "Coupled carbon and nitrogen losses in response to seven years of chronic warming in subarctic soils", "description": "Increasing temperatures may alter the stoichiometric demands of soil microbes and impair their capacity to stabilize carbon (C) and retain nitrogen (N), with critical consequences for the soil C and N storage at high latitude soils. Geothermally active areas in Iceland provided wide, continuous and stable gradients of\u00a0soil temperatures\u00a0to test this hypothesis. In order to characterize the stoichiometric demands of microbes from these subarctic soils, we incubated soils from ambient temperatures after the factorial addition of C, N and P substrates separately and in combination. In a second experiment, soils that had been exposed to different\u00a0in situ\u00a0warming intensities (+0, +0.5, +1.8, +3.4, +8.7, +15.9\u00a0\u00b0C above ambient) for seven years were incubated after the combined addition of C, N and P to evaluate the capacity of soil microbes to store and immobilize C and N at the different warming scenarios. The seven years of chronic soil warming triggered large and proportional soil C and N losses (4.1\u00a0\u00b1\u00a00.5% \u00b0C\u22121\u00a0of the stocks in unwarmed soils) from the upper 10\u202fcm of soil, with a predominant depletion of the physically accessible organic substrates that were weakly sorbed in\u00a0soil minerals\u00a0up to 8.7\u202f\u00b0C warming. Soil microbes met the increasing respiratory demands under conditions of low C accessibility at the expenses of a reduction of the standing biomass in warmer soils. This together with the strict microbial C:N stoichiometric demands also constrained their capacity of N retention, and increased the vulnerability of soil to N losses. Our findings suggest a strong control of\u00a0microbial physiology and C:N stoichiometric needs on the retention of soil N and on the resilience of soil C stocks from high-latitudes to warming, particularly during periods of vegetation dormancy and low C inputs.", "keywords": ["0301 basic medicine", "Microbial carbon and nutrients limitation", "Microbial biomass", "TERM", "03 medical and health sciences", "FOREST SOIL", "Temperature increase", "ORGANIC-CARBON", "Substrate induced respiration", "SDG 13 - Climate Action", "TEMPERATURE SENSITIVITY", "CYCLE", "106026 Ecosystem research", "METAANALYSIS", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "CLIMATE-CHANGE", "Nitrogen loss", "AVAILABILITY", "15. Life on land", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "FEEDBACKS", "Nitrogen immobilization", "106022 Microbiology", "PLANT BIOMASS"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2019.03.028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2019.03.028", "name": "item", "description": "10.1016/j.soilbio.2019.03.028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2019.03.028"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1016/j.still.2010.07.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:34Z", "type": "Journal Article", "created": "2010-08-15", "title": "Impact Of Pasture, Agriculture And Crop-Livestock Systems On Soil C Stocks In Brazil", "description": "Abstract   Changes in land use can result in either sources or sinks of atmospheric carbon (C), depending on management practices. In Brazil, significant changes in land use result from the conversion of native vegetation to pasture and agriculture, conversion of pasture to agriculture and, more recently, the conversion of pasture and agriculture to integrated crop-livestock systems (ICL). The ICL system proposes a diversity of activities that include the strategic incorporation of pastures to agriculture so as to benefit both. In agricultural areas, for example, the implementation of ICL requires the production of quality forage for animals between crops as well as the production of straw to facilitate the sustainability of the no-tillage (NT) management system. The objective of this study was to evaluate the modifications in soil C stocks resulting from the main processes involved in the changes of land use in Amazonia and Cerrado biomes. For comparison purposes, areas under native vegetation, pastures, crop succession and ICL under different edapho-climatic conditions in Amazonia and Cerrado biomes were evaluated. This study demonstrated that the conversion of native vegetation to pasture can cause the soil to function either as a source or a sink of atmospheric CO2, depending on the land management applied. Non-degraded pasture under fertile soil showed a mean accumulation rate of 0.46\u00a0g\u00a0ha\u22121\u00a0year\u22121. Carbon losses from pastures implemented in naturally low fertile soil ranged from 0.15 to 1.53\u00a0Mg\u00a0ha\u22121\u00a0year\u22121, respectively, for non-degraded and degraded pasture. The conversion of native vegetation to agriculture in areas under the ICL system, even when cultivated under NT, resulted in C losses of 1.31 in six years and of 0.69\u00a0Mg\u00a0ha\u22121 in 21 years. The conversion of a non-degraded pasture to cropland (soybean/sorghum) released, in average, 1.44 Mg of C ha\u22121year\u22121to the atmosphere.  The ICL system in agricultural areas has shown evidences that it always functions as a sink of C with accumulation rates ranging from 0.82 to 2.58\u00a0Mg\u00a0ha\u22121\u00a0year\u22121. The ICL produces soil C accumulation and, as a consequence, reduces atmospheric CO2 in areas formerly cultivated under crop succession. However, the magnitude of C accumulation in soil depends on factors such as the types of crops, the edapho-climatic conditions and the amount of time the area is under ICL.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "550", "limiting water range", "01 natural sciences", "630", "atlantic forest", "Amazonia", "Crop-livestock systems", "Land use change", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "region", "Crop-livestock", "native cerrado", "organic-carbon sequestration", "grassland management", "nitrogen stocks", "Cerrado", "04 agricultural and veterinary sciences", "15. Life on land", "greenhouse-gas emissions", "matter", "6. Clean water", "brachiaria pastures", "Soil carbon stock", "13. Climate action", "tillage", "systems", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2010.07.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2010.07.011", "name": "item", "description": "10.1016/j.still.2010.07.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2010.07.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-09-01T00:00:00Z"}}, {"id": "10.1016/j.still.2012.07.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:36Z", "type": "Journal Article", "created": "2012-10-26", "title": "Chemical And Biological Properties As Affected By No-Tillage And Conventional Tillage Systems In An Irrigated Haploxeroll Of Central Chile", "description": "Abstract   Soil management practices may change the soil properties. The magnitude of the change varies according to the soil property, the climate, and the type and time of implementation of a particular management system. The aim of this study was to evaluate the effects of no-tillage (NT) on the chemical and biological properties of an Entic Haploxeroll in Central Chile. Soil organic carbon (SOC), microbial biomass and associated indicators     q    CO  2      ,  q   Mic  ,  q   Min  , available N, P and K, pH, electrical conductivity (EC), and crop yield were determined in a field experiment having a wheat ( Triticum turgidum  L.)\u2013maize ( Zea mays  L.) crop rotation. The change in soil chemical properties was further evaluated using a greenhouse bioassay in which ryegrass ( Lolium perenne  L.) was grown in soil samples extracted at 0\u20132, 2\u20135, and 5\u201315\u00a0cm depth. After nine years SOC in the NT treatment was 29.7\u00a0Mg\u00a0ha \u22121  compared to 24.8\u00a0Mg\u00a0ha \u22121  of CT, resulting in 4.98\u00a0Mg\u00a0ha \u22121 \u00a0C gain. The NT therefore resulted in an average annual sequestration of 0.55\u00a0Mg\u00a0C\u00a0ha \u22121 \u00a0yr \u22121  in the upper 15\u00a0cm soil. The soil organic C stored under NT was mainly accumulated in the top 2-cm of soil. The biological indicators showed a greater biological soil quality under NT than under CT. Soil organic C was positively associated with available N, P, and K, but negatively with soil pH. The ryegrass bioassay yielded higher biomass in NT than CT. An improvement in the soil chemical quality of the NT soil was considered to be the main reason for this result. The maize yield under NT had the tendency to improve in time as compared to CT. Wheat, however, had lower yield under NT. It was concluded that NT increased C sequestration and SOC improving the chemical and biological properties of this soil.", "keywords": ["SOIL ORGANIC-CARBON", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2012.07.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2012.07.014", "name": "item", "description": "10.1016/j.still.2012.07.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2012.07.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1071/sr18210", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:36Z", "type": "Journal Article", "created": "2018-11-16", "title": "Effect of long-term irrigation and tillage practices on X-ray CT and gas transport derived pore-network characteristics", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p> The gas transport parameters, diffusivity and air-filled porosity are crucial for soil aeration, microbial activity and greenhouse gas emission, and directly depend on soil structure. In this study, we analysed the effect of long-term tillage and irrigation practices on the surface structure of an arable soil in New Zealand. Our hypothesis was that topsoil structure would change under intensification of arable production, affecting gas exchange. Intact soil cores were collected from plots under intensive tillage (IT) and direct drill (DD), irrigated or rainfed. In total, 32 cores were scanned by X-ray computed tomography (CT) to derive the pore network &amp;gt;30\u00b5m. The cores were then used to measure soil-gas diffusivity, air-permeability and air-filled porosity of pores close to the resolution of the X-ray CT scans, namely \u226530\u00b5m. The gas measurements allow the calculation of pore-network connectivity and tortuosity parameters, which were compared with the CT-derived structural characteristics. Long-term irrigation had little effect on any of the parameters analysed. Total porosity tended to be lower under IT than DD, whereas the CT-derived porosity was comparable. Both the CT-derived mean pore diameter (MPD) and other morphological parameters, as well as gas measurement-derived parameters, highlighted a less developed structure under IT. The differences in the functional pore-network structure were attributed to SOC depletion and the mechanical disturbance through IT. Significant correlations between CT-derived parameters and functional gas transport parameters such as tortuosity and MPD were found, which suggest that X-ray CT could be useful in the prediction of gas transport. </p></article>", "keywords": ["AGRICULTURE", "soil structure.", "P-parameter", "Soil structure", "carbon depletion", "MANAGEMENT", "COMPUTED-TOMOGRAPHY", "PERMEABILITY", "CONSERVATION TILLAGE", "Dexter index", "Intensive tillage", "SOIL ORGANIC-CARBON", "carbon depletion; Dexter index; intensive tillage; P -parameter; soil organic carbon; soil structure.; Environmental Science (miscellaneous); Soil Science; Earth-Surface Processes", "P -parameter", "LOAM SOIL", "Soil organic carbon", "POROSITY", "04 agricultural and veterinary sciences", "15. Life on land", "soil organic carbon", "NO-TILL", "NITROGEN", "[SDE.MCG] Environmental Sciences/Global Changes", "0401 agriculture", " forestry", " and fisheries", "Carbon depletion", "soil structure", "intensive tillage"]}, "links": [{"href": "https://www.publish.csiro.au/SR/pdf/SR18210"}, {"href": "https://doi.org/10.1071/sr18210"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/sr18210", "name": "item", "description": "10.1071/sr18210", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/sr18210"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.1098/rsfs.2010.0023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:04Z", "type": "Journal Article", "created": "2011-07-12", "title": "How Can Land-Use Modelling Tools Inform Bioenergy Policies?", "description": "<p>Targets for bioenergy have been set worldwide to mitigate climate change. Although feedstock sources are often ambiguous, pledges in European nations, the United States and Brazil amount to more than 100 Mtoe of biorenewable fuel production by 2020. As a consequence, the biofuel sector is developing rapidly, and it is increasingly important to distinguish bioenergy options that can address energy security and greenhouse gas mitigation from those that cannot. This paper evaluates how bioenergy production affects land-use change (LUC), and to what extent land-use modelling can inform sound decision-making. We identified local and global internalities and externalities of biofuel development scenarios, reviewed relevant data sources and modelling approaches, identified sources of controversy about indirect LUC (iLUC) and then suggested a framework for comprehensive assessments of bioenergy. Ultimately, plant biomass must be managed to produce energy in a way that is consistent with the management of food, feed, fibre, timber and environmental services. Bioenergy production provides opportunities for improved energy security, climate mitigation and rural development, but the environmental and social consequences depend on feedstock choices and geographical location. The most desirable solutions for bioenergy production will include policies that incentivize regionally integrated management of diverse resources with low inputs, high yields, co-products, multiple benefits and minimal risks of iLUC. Many integrated assessment models include energy resources, trade, technological development and regional environmental conditions, but do not account for biodiversity and lack detailed data on the location of degraded and underproductive lands that would be ideal for bioenergy production. Specific practices that would maximize the benefits of bioenergy production regionally need to be identified before a global analysis of bioenergy-related LUC can be accomplished.</p>", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "0301 basic medicine", "MISCANTHUS", "330", "550", "AGRICULTURE", "01 natural sciences", "7. Clean energy", "333", "12. Responsible consumption", "ENERGY", "03 medical and health sciences", "ORGANIC-CARBON", "BENEFITS", "11. Sustainability", "feedstocks", "SWITCHGRASS", "indirect land-use change", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "GREENHOUSE-GAS EMISSIONS", "CLIMATE-CHANGE", "15. Life on land", "biofuels", "NITROGEN", "greenhouse gas", "13. Climate action", "BIOFUEL FEEDSTOCK", "environmental economics", "ecosystem services"]}, "links": [{"href": "https://doi.org/10.1098/rsfs.2010.0023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Interface%20Focus", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rsfs.2010.0023", "name": "item", "description": "10.1098/rsfs.2010.0023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rsfs.2010.0023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-02-02T00:00:00Z"}}, {"id": "10.1111/gcb.14878", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:22Z", "type": "Journal Article", "created": "2019-10-22", "title": "Which practices co\u2010deliver food security, climate change mitigation and adaptation, and combat land degradation and desertification?", "description": "Abstract<p>There is a clear need for transformative change in the land management and food production sectors to address the global land challenges of climate change mitigation, climate change adaptation, combatting land degradation and desertification, and delivering food security (referred to hereafter as \uffe2\uff80\uff9cland challenges\uffe2\uff80\uff9d). We assess the potential for 40 practices to address these land challenges and find that: Nine options deliver medium to large benefits for all four land challenges. A further two options have no global estimates for adaptation, but have medium to large benefits for all other land challenges. Five options have large mitigation potential (&gt;3\uffc2\uffa0Gt CO2eq/year) without adverse impacts on the other land challenges. Five options have moderate mitigation potential, with no adverse impacts on the other land challenges. Sixteen practices have large adaptation potential (&gt;25 million people benefit), without adverse side effects on other land challenges. Most practices can be applied without competing for available land. However, seven options could result in competition for land. A large number of practices do not require dedicated land, including several land management options, all value chain options, and all risk management options. Four options could greatly increase competition for land if applied at a large scale, though the impact is scale and context specific, highlighting the need for safeguards to ensure that expansion of land for mitigation does not impact natural systems and food security. A number of practices, such as increased food productivity, dietary change and reduced food loss and waste, can reduce demand for land conversion, thereby potentially freeing\uffe2\uff80\uff90up land and creating opportunities for enhanced implementation of other practices, making them important components of portfolios of practices to address the combined land challenges.</p", "keywords": ["773901", "Invited Primary Research Article", "550", "QH301 Biology", "Acclimatization", "demand management", "TROPICAL FORESTS", "adaptation; adverse side effects; co-benefits; demand management; desertification; food security; land degradation; land management; mitigation; practice; risk management", "ECOSYSTEM SERVICES", "adaptation", "01 natural sciences", "Food Supply", "NE/M021327/1", "PRACTICE", "https://purl.org/becyt/ford/1.5", "11. Sustainability", "SDG 13 - Climate Action", "776810", "LAND MANAGEMENT", "ADVERSE SIDE EFFECTS", "ADAPTATION", "SDG 15 - Life on Land", "General Environmental Science", "2. Zero hunger", "Global and Planetary Change", "Ecology", "DESERTIFICATION", "land degradation", "FOOD SECURITY", "NEGATIVE EMISSIONS", "1. No poverty", "URBAN SPRAWL", "Agriculture", "desertification", "practice", "LIFE-CYCLE ASSESSMENT", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "LAND DEGRADATION", "LIVESTOCK SYSTEMS", "adverse side effects", "FEDERAL CROP INSURANCE", "environment", "GE Environmental Sciences", "European Research Council", "RISK MANAGEMENT", "Conservation of Natural Resources", "SOIL CARBON SEQUESTRATION", "330", "Climate Change", "GREENHOUSE-GAS MITIGATION", "MITIGATION", "risk management", "DEMAND MANAGEMENT", "12. Responsible consumption", "EP/M013200/1", "mitigation", "ORGANIC-CARBON", "[SDV.EE]Life Sciences [q-bio]/Ecology", "co-benefits", "Environmental Chemistry", "774378", "SDG 7 - Affordable and Clean Energy", "SDG 2 - Zero Hunger", "European Commission", "https://purl.org/becyt/ford/1", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Natural Environment Research Council (NERC)", "land management", "food security", "15. Life on land", "Earth sciences", "CO-BENEFITS", "Engineering and Physical Sciences Research Council (EPSRC)", "13. Climate action", "adverse side-effects", "Biotechnology and Biological Sciences Research Council (BBSRC)", "774124", "BB/N013484/1", "SDG 12 - Responsible Consumption and Production"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/962658/2/Global%20Change%20Biology%20-%202019%20-%20Smith%20-%20Which%20practices%20co%e2%80%90deliver%20food%20security%20%20climate%20change%20mitigation%20and%20adaptation%20.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14878"}, {"href": "https://doi.org/10.1111/gcb.14878"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.14878", "name": "item", "description": "10.1111/gcb.14878", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14878"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-14T00:00:00Z"}}, {"id": "10.1111/gcb.14815", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:22Z", "type": "Journal Article", "created": "2019-08-30", "title": "How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal", "description": "Abstract<p>There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international \uffe2\uff80\uff984p1000\uffe2\uff80\uff99 initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long\uffe2\uff80\uff90term experiments and space\uffe2\uff80\uff90for\uffe2\uff80\uff90time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.</p", "keywords": ["[SDE] Environmental Sciences", "550", "BULK-DENSITY", "[SDV]Life Sciences [q-bio]", "QH301 Biology", "Climate", "NEW-ZEALAND", "630", "Soil", "NE/M021327/1", "11. Sustainability", "SDG 13 - Climate Action", "AGRICULTURAL SOILS", "SDG 15 - Life on Land", "General Environmental Science", "agriculture", "2. Zero hunger", "Global and Planetary Change", "reporting", "Measurement", "Ecology", "IN-SITU", "Agricultura", "NE/P019455/1", "carbono org\u00e1nico del suelo", "Agriculture", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "[SDV] Life Sciences [q-bio]", "climate change", "Sustainability", "[SDE]Environmental Sciences", "Carbon Sequestration", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "LONG-TERM EXPERIMENTS", "330", "Monitoring", "STOCK CHANGES", "MRV", "secuestro de carbon", "12. Responsible consumption", "QH301", "Greenhouse Gases", "ORGANIC-CARBON", "soil organic matter", "greenhouse gases", "Invited Research Reviews", "Environmental Chemistry", "774378", "SDG 2 - Zero Hunger", "European Commission", "resilience", "Climate Solutions", "Soil organic matter", "Soil organic carbon", "Natural Environment Research Council (NERC)", "Verification", "food security", "15. Life on land", "carbon sequestration", "Sustainable Agriculture", "Carbon", "EDDY-COVARIANCE", "soil organic carbon", "monitoring", "Reporting", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "measurement", "verification"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14815"}, {"href": "https://scholarworks.uvm.edu/context/rsfac/article/1079/viewcontent/Lini2019b.pdf"}, {"href": "https://doi.org/10.1111/gcb.14815"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.14815", "name": "item", "description": "10.1111/gcb.14815", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14815"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-06T00:00:00Z"}}, {"id": "10.1111/gcbb.12042", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:25Z", "type": "Journal Article", "created": "2013-01-11", "title": "Management Swing Potential For Bioenergy Crops", "description": "Abstract<p>Bioenergy crops are often classified (and subsequently regulated) according to species that have been evaluated as environmentally beneficial or detrimental, but in practice, management decisions rather than species per se can determine the overall environmental impact of a bioenergy production system. Here, we review the greenhouse gas balance and \uffe2\uff80\uff98management swing potential\uffe2\uff80\uff99 of seven different bioenergy cropping systems in temperate and tropical regions. Prior land use, harvesting techniques, harvest timing, and fertilization are among the key management considerations that can swing the greenhouse gas balance of bioenergy from positive to negative or the reverse. Although the management swing potential is substantial for many cropping systems, there are some species (e.g., soybean) that have such low bioenergy yield potentials that the environmental impact is unlikely to be reversed by management. High\uffe2\uff80\uff90yielding bioenergy crops (e.g., corn, sugarcane, Miscanthus, and fast\uffe2\uff80\uff90growing tree species), however, can be managed for environmental benefits or losses, suggesting that the bioenergy sector would be better informed by incorporating management\uffe2\uff80\uff90based evaluations into classifications of bioenergy feedstocks.</p>", "keywords": ["2. Zero hunger", "life-cycle assessment", "palm oil", "mallee biomass", "04 agricultural and veterinary sciences", "15. Life on land", "crops", "greenhouse-gas emissions", "oil production systems", "01 natural sciences", "7. Clean energy", "land-use change", "mitigation options", "miscanthus x giganteus", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "western-australia", "soil organic-carbon", "agriculture", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12042"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12042", "name": "item", "description": "10.1111/gcbb.12042", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12042"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-11T00:00:00Z"}}, {"id": "10.5194/egusphere-egu22-5811", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:51Z", "type": "Journal Article", "created": "2022-03-27", "title": "Agricultural management affects active carbon and nitrogen mineralisation potential in soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Soil organic matter (SOM) is important for soil fertility and climate change mitigation. Agricultural management - including soil amendments - can improve soil fertility and contribute to climate change mitigation by stabilising carbon in soils. This calls for cost-effective parameters to assess&amp;amp;#160; the influence of management practices on SOM. The current study aimed at understanding how sensitive the parameters active/permanganate oxidisable carbon (AC) and nitrogen mineralisation potential (NMP) react to different agricultural management practices compared to total organic carbon (TOC) and total nitrogen (Nt). We aimed to gain a better understanding of SOM processes, mainly regarding depth distribution and seasonality of SOM dynamics using AC and NMP.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data were obtained in five Austrian long-term field experiments (LTEs) testing four management practices: i) tillage, ii) compost application, iii) crop residue management, and iv) mineral fertilisation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AC was specifically sensitive in detecting the effect of tillage treatment at different soil depths. NMP differentiated between all different tillage treatments in the top soil layer, it showed the temporal dynamics between the years in the compost LTE, and it was identified as an early detection property in the crop residue LTE. Both AC and NMP detected short-term fluctuations better than TOC and Nt over the course of two years in the crop residue LTE. Thus, we suggest that AC and NMP are two valuable soil biochemical parameters providing more detailed information on C and N dynamics regarding depth distribution and seasonal dynamics and react more sensitively to different agricultural management practices compared to TOC and Nt. They should be integrated in monitoring agricultural LTEs and in field analyses conducted by farmers. However, when evaluating results of long-term carbon storage, their sensitivity towards annual fluctuations should be taken into account.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["DYNAMICS", "agricultural long-term experiments", "N-MINERALIZATION", "climate change mitigation", "", "agricultural long-term experiments", "", "climate change mitigation", "ORGANIC-CARBON", "soil organic matter", "SDG 13 - Climate Action", "ENZYME-ACTIVITIES", "SDG 2 \u2013 Kein Hunger", "106026 Ecosystem research", "SDG 2 - Zero Hunger", "early parameters of change", "TILLAGE", "2. Zero hunger", "106022 Mikrobiologie", "MICROBIAL BIOMASS", "CROP", "04 agricultural and veterinary sciences", "15. Life on land", "PERMANGANATE-OXIDIZABLE CARBON", "6. Clean water", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "106022 Microbiology", "0401 agriculture", " forestry", " and fisheries", "RESIDUE MANAGEMENT", "FRACTIONS"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.202100130"}, {"href": "https://doi.org/10.5194/egusphere-egu22-5811"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu22-5811", "name": "item", "description": "10.5194/egusphere-egu22-5811", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu22-5811"}, {"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": "10.5281/zenodo.13791160", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:31Z", "type": "Journal Article", "created": "2022-03-27", "title": "Agricultural management affects active carbon and nitrogen mineralisation potential in soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>&amp;lt;p&amp;gt;Soil organic matter (SOM) is important for soil fertility and climate change mitigation. Agricultural management - including soil amendments - can improve soil fertility and contribute to climate change mitigation by stabilising carbon in soils. This calls for cost-effective parameters to assess&amp;amp;#160; the influence of management practices on SOM. The current study aimed at understanding how sensitive the parameters active/permanganate oxidisable carbon (AC) and nitrogen mineralisation potential (NMP) react to different agricultural management practices compared to total organic carbon (TOC) and total nitrogen (Nt). We aimed to gain a better understanding of SOM processes, mainly regarding depth distribution and seasonality of SOM dynamics using AC and NMP.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Data were obtained in five Austrian long-term field experiments (LTEs) testing four management practices: i) tillage, ii) compost application, iii) crop residue management, and iv) mineral fertilisation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AC was specifically sensitive in detecting the effect of tillage treatment at different soil depths. NMP differentiated between all different tillage treatments in the top soil layer, it showed the temporal dynamics between the years in the compost LTE, and it was identified as an early detection property in the crop residue LTE. Both AC and NMP detected short-term fluctuations better than TOC and Nt over the course of two years in the crop residue LTE. Thus, we suggest that AC and NMP are two valuable soil biochemical parameters providing more detailed information on C and N dynamics regarding depth distribution and seasonal dynamics and react more sensitively to different agricultural management practices compared to TOC and Nt. They should be integrated in monitoring agricultural LTEs and in field analyses conducted by farmers. However, when evaluating results of long-term carbon storage, their sensitivity towards annual fluctuations should be taken into account.&amp;lt;/p&amp;gt;</p></article>", "keywords": ["DYNAMICS", "agricultural long-term experiments", "N-MINERALIZATION", "climate change mitigation", "", "agricultural long-term experiments", "", "climate change mitigation", "ORGANIC-CARBON", "soil organic matter", "SDG 13 - Climate Action", "ENZYME-ACTIVITIES", "SDG 2 \u2013 Kein Hunger", "106026 Ecosystem research", "SDG 2 - Zero Hunger", "early parameters of change", "TILLAGE", "2. Zero hunger", "106022 Mikrobiologie", "MICROBIAL BIOMASS", "CROP", "04 agricultural and veterinary sciences", "15. Life on land", "PERMANGANATE-OXIDIZABLE CARBON", "6. Clean water", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "106022 Microbiology", "0401 agriculture", " forestry", " and fisheries", "RESIDUE MANAGEMENT", "FRACTIONS"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.202100130"}, {"href": "https://doi.org/10.5281/zenodo.13791160"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Nutrition%20and%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13791160", "name": "item", "description": "10.5281/zenodo.13791160", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13791160"}, {"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": "10.5281/zenodo.14790778", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:23:54Z", "type": "Journal Article", "created": "2019-04-01", "title": "Coupled carbon and nitrogen losses in response to seven years of chronic warming in subarctic soils", "description": "Increasing temperatures may alter the stoichiometric demands of soil microbes and impair their capacity to stabilize carbon (C) and retain nitrogen (N), with critical consequences for the soil C and N storage at high latitude soils. Geothermally active areas in Iceland provided wide, continuous and stable gradients of\u00a0soil temperatures\u00a0to test this hypothesis. In order to characterize the stoichiometric demands of microbes from these subarctic soils, we incubated soils from ambient temperatures after the factorial addition of C, N and P substrates separately and in combination. In a second experiment, soils that had been exposed to different\u00a0in situ\u00a0warming intensities (+0, +0.5, +1.8, +3.4, +8.7, +15.9\u00a0\u00b0C above ambient) for seven years were incubated after the combined addition of C, N and P to evaluate the capacity of soil microbes to store and immobilize C and N at the different warming scenarios. The seven years of chronic soil warming triggered large and proportional soil C and N losses (4.1\u00a0\u00b1\u00a00.5% \u00b0C\u22121\u00a0of the stocks in unwarmed soils) from the upper 10\u202fcm of soil, with a predominant depletion of the physically accessible organic substrates that were weakly sorbed in\u00a0soil minerals\u00a0up to 8.7\u202f\u00b0C warming. Soil microbes met the increasing respiratory demands under conditions of low C accessibility at the expenses of a reduction of the standing biomass in warmer soils. This together with the strict microbial C:N stoichiometric demands also constrained their capacity of N retention, and increased the vulnerability of soil to N losses. Our findings suggest a strong control of\u00a0microbial physiology and C:N stoichiometric needs on the retention of soil N and on the resilience of soil C stocks from high-latitudes to warming, particularly during periods of vegetation dormancy and low C inputs.", "keywords": ["0301 basic medicine", "Microbial carbon and nutrients limitation", "Microbial biomass", "TERM", "03 medical and health sciences", "Temperature increase", "FOREST SOIL", "Substrate induced respiration", "ORGANIC-CARBON", "SDG 13 - Climate Action", "TEMPERATURE SENSITIVITY", "CYCLE", "106026 Ecosystem research", "METAANALYSIS", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "Nitrogen loss", "CLIMATE-CHANGE", "AVAILABILITY", "15. Life on land", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "Nitrogen immobilization", "FEEDBACKS", "106022 Microbiology", "PLANT BIOMASS"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14790778"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14790778", "name": "item", "description": "10.5281/zenodo.14790778", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14790778"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "11577/3291713", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:21Z", "type": "Journal Article", "created": "2018-11-15", "title": "Effect of long-term irrigation and tillage practices on X-ray CT and gas transport derived pore-network characteristics", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The gas transport parameters, diffusivity and air-filled porosity are crucial for soil aeration, microbial activity and greenhouse gas emission, and directly depend on soil structure. In this study, we analysed the effect of long-term tillage and irrigation practices on the surface structure of an arable soil in New Zealand. Our hypothesis was that topsoil structure would change under intensification of arable production, affecting gas exchange. Intact soil cores were collected from plots under intensive tillage (IT) and direct drill (DD), irrigated or rainfed. In total, 32 cores were scanned by X-ray computed tomography (CT) to derive the pore network &amp;gt;30 \u00b5m. The cores were then used to measure soil-gas diffusivity, air-permeability and air-filled porosity of pores close to the resolution of the X-ray CT scans, namely =30 \u00b5m. The gas measurements allow the calculation of pore-network connectivity and tortuosity parameters, which were compared with the CT-derived structural characteristics. Long-term irrigation had little effect on any of the parameters analysed. Total porosity tended to be lower under IT than DD, whereas the CT-derived porosity was comparable. Both the CT-derived mean pore diameter (MPD) and other morphological parameters, as well as gas measurement-derived parameters, highlighted a less developed structure under IT. The differences in the functional pore-network structure were attributed to SOC depletion and the mechanical disturbance through IT. Significant correlations between CT-derived parameters and functional gas transport parameters such as tortuosity and MPD were found, which suggest that X-ray CT could be useful in the prediction of gas transport.</p></article>", "keywords": ["AGRICULTURE", "soil structure.", "P-parameter", "Soil structure", "carbon depletion", "MANAGEMENT", "COMPUTED-TOMOGRAPHY", "PERMEABILITY", "CONSERVATION TILLAGE", "Dexter index", "Intensive tillage", "SOIL ORGANIC-CARBON", "carbon depletion; Dexter index; intensive tillage; P -parameter; soil organic carbon; soil structure.; Environmental Science (miscellaneous); Soil Science; Earth-Surface Processes", "P -parameter", "LOAM SOIL", "Soil organic carbon", "POROSITY", "04 agricultural and veterinary sciences", "15. Life on land", "soil organic carbon", "NO-TILL", "NITROGEN", "[SDE.MCG] Environmental Sciences/Global Changes", "0401 agriculture", " forestry", " and fisheries", "Carbon depletion", "soil structure", "intensive tillage"]}, "links": [{"href": "https://www.publish.csiro.au/SR/pdf/SR18210"}, {"href": "https://doi.org/11577/3291713"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11577/3291713", "name": "item", "description": "11577/3291713", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11577/3291713"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-16T00:00:00Z"}}, {"id": "1226440e-d515-4137-8393-ef0cdfe0f808", "type": "Feature", "geometry": null, "properties": {"updated": "2025-02-04T00:00:00Z", "type": "Dataset", "language": "en", "title": "INSPIRE: Organic Matter Content of Top-Soils in Germany 1:1,000,000 (BUEK1000-HUMUS-OB)", "description": "The map \u201dOrganic Matter Content of Top-Soils in Germany 1:1,000,000 (INSPIRE)\u201d highlights the results of a Germany-wide compilation of typical soil organic matter contents in top-soils differentiated according to groups of soil parent material, four climatic areas and the main land use. The evaluation is based on more than 9000 soil data profiles with information about Soil Organic Matter (SOM) from a period of about 20 years. The report 'The Organic Matter Content of Top-Soils in Germany', BGR Archive, No. 0127036 (in German) documents the methodology. To transform the organic matter content (of the original dataset HUMUS1000OB) into INSPIRE-relevant organic carbon content (CORG1000OB), we applied the van Bemmelen factor (1.724). According to the \u201cData Specification on Soil\u201c (D2.8.III.3_v3.0) and the \u201cGuidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE\u201c (D2.9_v3.0) the content of the map \u201cOrganic Matter Content of Top-Soils in Germany 1:1,000,000\u201c is stored in a single INSPIRE-compliant GML file: buek1000-humus-ob_SoilDerivedObject.gml. The data has been transformed into the following INSPIRE-Feature Types (Spatial Object Types): \u201cSoilDerivedObject\u201c, \u201cOM_Observation\u201c and \u201cOM_Process\u201c. The GML file together with a Readme.txt file is provided in ZIP format (BUEK1000-HUMUS-OB-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.", "formats": [{"name": "INSPIRE-GML"}], "keywords": ["High value dataset", "boden", "bodenprozess", "corg", "de", "deutschland", "erdbeobachtung-und-umwelt", "germany", "humus", "humus-content", "humusgehalt", "inspireidentifiziert", "national", "opendata", "organic-carbon-content", "organic-matter", "organische-substanz", "organischer-kohlenstoffgehalt", "soil", "soil-process"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/boden/BUEK1000-HUMUS-OB-INSPIRE/gml/BUEK1000-HUMUS-OB-INSPIRE.zip"}, {"href": "http://data.europa.eu/88u/dataset/1226440e-d515-4137-8393-ef0cdfe0f808"}, {"rel": "self", "type": "application/geo+json", "title": "1226440e-d515-4137-8393-ef0cdfe0f808", "name": "item", "description": "1226440e-d515-4137-8393-ef0cdfe0f808", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1226440e-d515-4137-8393-ef0cdfe0f808"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1983/ab17d5ff-3657-42df-84a6-4ab038c16f20", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:41Z", "type": "Journal Article", "created": "2019-10-22", "title": "Which practices co\u2010deliver food security, climate change mitigation and adaptation, and combat land degradation and desertification?", "description": "Abstract<p>There is a clear need for transformative change in the land management and food production sectors to address the global land challenges of climate change mitigation, climate change adaptation, combatting land degradation and desertification, and delivering food security (referred to hereafter as \uffe2\uff80\uff9cland challenges\uffe2\uff80\uff9d). We assess the potential for 40 practices to address these land challenges and find that: Nine options deliver medium to large benefits for all four land challenges. A further two options have no global estimates for adaptation, but have medium to large benefits for all other land challenges. Five options have large mitigation potential (&gt;3\uffc2\uffa0Gt CO2eq/year) without adverse impacts on the other land challenges. Five options have moderate mitigation potential, with no adverse impacts on the other land challenges. Sixteen practices have large adaptation potential (&gt;25 million people benefit), without adverse side effects on other land challenges. Most practices can be applied without competing for available land. However, seven options could result in competition for land. A large number of practices do not require dedicated land, including several land management options, all value chain options, and all risk management options. Four options could greatly increase competition for land if applied at a large scale, though the impact is scale and context specific, highlighting the need for safeguards to ensure that expansion of land for mitigation does not impact natural systems and food security. A number of practices, such as increased food productivity, dietary change and reduced food loss and waste, can reduce demand for land conversion, thereby potentially freeing\uffe2\uff80\uff90up land and creating opportunities for enhanced implementation of other practices, making them important components of portfolios of practices to address the combined land challenges.</p", "keywords": ["773901", "Invited Primary Research Article", "550", "QH301 Biology", "Acclimatization", "demand management", "TROPICAL FORESTS", "adaptation; adverse side effects; co-benefits; demand management; desertification; food security; land degradation; land management; mitigation; practice; risk management", "ECOSYSTEM SERVICES", "adaptation", "01 natural sciences", "Food Supply", "NE/M021327/1", "PRACTICE", "https://purl.org/becyt/ford/1.5", "11. Sustainability", "SDG 13 - Climate Action", "776810", "LAND MANAGEMENT", "ADVERSE SIDE EFFECTS", "ADAPTATION", "SDG 15 - Life on Land", "General Environmental Science", "2. Zero hunger", "Global and Planetary Change", "Ecology", "DESERTIFICATION", "land degradation", "FOOD SECURITY", "NEGATIVE EMISSIONS", "1. No poverty", "URBAN SPRAWL", "Agriculture", "desertification", "practice", "LIFE-CYCLE ASSESSMENT", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "LAND DEGRADATION", "LIVESTOCK SYSTEMS", "adverse side effects", "FEDERAL CROP INSURANCE", "environment", "GE Environmental Sciences", "European Research Council", "RISK MANAGEMENT", "Conservation of Natural Resources", "SOIL CARBON SEQUESTRATION", "330", "Climate Change", "GREENHOUSE-GAS MITIGATION", "MITIGATION", "risk management", "DEMAND MANAGEMENT", "12. Responsible consumption", "EP/M013200/1", "mitigation", "ORGANIC-CARBON", "[SDV.EE]Life Sciences [q-bio]/Ecology", "co-benefits", "Environmental Chemistry", "774378", "SDG 7 - Affordable and Clean Energy", "SDG 2 - Zero Hunger", "European Commission", "https://purl.org/becyt/ford/1", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "ddc:550", "Natural Environment Research Council (NERC)", "land management", "food security", "15. Life on land", "Earth sciences", "CO-BENEFITS", "Engineering and Physical Sciences Research Council (EPSRC)", "13. Climate action", "adverse side-effects", "Biotechnology and Biological Sciences Research Council (BBSRC)", "774124", "BB/N013484/1", "SDG 12 - Responsible Consumption and Production"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/962658/2/Global%20Change%20Biology%20-%202019%20-%20Smith%20-%20Which%20practices%20co%e2%80%90deliver%20food%20security%20%20climate%20change%20mitigation%20and%20adaptation%20.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14878"}, {"href": "https://doi.org/1983/ab17d5ff-3657-42df-84a6-4ab038c16f20"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1983/ab17d5ff-3657-42df-84a6-4ab038c16f20", "name": "item", "description": "1983/ab17d5ff-3657-42df-84a6-4ab038c16f20", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1983/ab17d5ff-3657-42df-84a6-4ab038c16f20"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-14T00:00:00Z"}}, {"id": "1854/LU-8720112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:33Z", "type": "Journal Article", "created": "2021-09-09", "title": "Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy", "description": "Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. Climate action", "Earth and Environmental Sciences", "Synthetic minority over-sampling technique", "0401 agriculture", " forestry", " and fisheries", "HEAVY-METAL CONCENTRATIONS", "Cadmium"]}, "links": [{"href": "https://doi.org/1854/LU-8720112"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8720112", "name": "item", "description": "1854/LU-8720112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8720112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "1c591de0-f438-4dcb-857c-a6e4803e7eee", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:56:59", "type": "Dataset", "language": "de", "title": "INSPIRE Soil / Carbon Stocks in the Soil BB", "description": "Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR \u00fcber die Kohlenstoffvorr\u00e4te im Boden Brandenburg, transformiert in das INSPIRE-Zielschema Boden. Der Datensatz wird \u00fcber je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt.      ---      The compliant INSPIRE data set contains data about the carbon stocks in the soil of the State of Brandenburg from the LBGR, transformed into the INSPIRE annex schema Soil. The data set is provided via compliant view and download services.", "formats": [{"name": "WFS_SRVC"}], "keywords": ["High value dataset", "bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "erdbeobachtung-und-umwelt", "geologie", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "kohlenstoff", "kohlenstoffvorra\u0308te", "kohlenstoffvorra\u0308te-im-boden-brandenburg", "om_observation", "opendata", "organic-carbon-stock", "organiccarbonstock", "process", "regional", "soil", "soilderivedobject", "soillayer", "topsoil"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/so_cvorr_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/so_cvorr_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/1c591de0-f438-4dcb-857c-a6e4803e7eee~~2"}, {"rel": "self", "type": "application/geo+json", "title": "1c591de0-f438-4dcb-857c-a6e4803e7eee", "name": "item", "description": "1c591de0-f438-4dcb-857c-a6e4803e7eee", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1c591de0-f438-4dcb-857c-a6e4803e7eee"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2164/13497", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:02Z", "type": "Journal Article", "created": "2019-08-30", "title": "How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal", "description": "Abstract<p>There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international \uffe2\uff80\uff984p1000\uffe2\uff80\uff99 initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long\uffe2\uff80\uff90term experiments and space\uffe2\uff80\uff90for\uffe2\uff80\uff90time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.</p", "keywords": ["[SDE] Environmental Sciences", "550", "BULK-DENSITY", "[SDV]Life Sciences [q-bio]", "QH301 Biology", "Climate", "NEW-ZEALAND", "630", "Soil", "NE/M021327/1", "11. Sustainability", "SDG 13 - Climate Action", "AGRICULTURAL SOILS", "SDG 15 - Life on Land", "General Environmental Science", "agriculture", "2. Zero hunger", "Global and Planetary Change", "reporting", "Measurement", "Ecology", "IN-SITU", "Agricultura", "NE/P019455/1", "carbono org\u00e1nico del suelo", "Agriculture", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "[SDV] Life Sciences [q-bio]", "climate change", "Sustainability", "[SDE]Environmental Sciences", "Carbon Sequestration", "DIFFUSE-REFLECTANCE SPECTROSCOPY", "LONG-TERM EXPERIMENTS", "330", "Monitoring", "STOCK CHANGES", "MRV", "secuestro de carbon", "12. Responsible consumption", "QH301", "Greenhouse Gases", "ORGANIC-CARBON", "soil organic matter", "greenhouse gases", "Invited Research Reviews", "Environmental Chemistry", "774378", "SDG 2 - Zero Hunger", "European Commission", "resilience", "Climate Solutions", "Soil organic matter", "Soil organic carbon", "Natural Environment Research Council (NERC)", "Verification", "food security", "15. Life on land", "carbon sequestration", "Sustainable Agriculture", "Carbon", "EDDY-COVARIANCE", "soil organic carbon", "monitoring", "Reporting", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "measurement", "verification"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14815"}, {"href": "https://scholarworks.uvm.edu/context/rsfac/article/1079/viewcontent/Lini2019b.pdf"}, {"href": "https://doi.org/2164/13497"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/13497", "name": "item", "description": "2164/13497", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/13497"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-06T00:00:00Z"}}, {"id": "2932651632", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:22Z", "type": "Journal Article", "created": "2019-04-01", "title": "Coupled carbon and nitrogen losses in response to seven years of chronic warming in subarctic soils", "description": "Increasing temperatures may alter the stoichiometric demands of soil microbes and impair their capacity to stabilize carbon (C) and retain nitrogen (N), with critical consequences for the soil C and N storage at high latitude soils. Geothermally active areas in Iceland provided wide, continuous and stable gradients of\u00a0soil temperatures\u00a0to test this hypothesis. In order to characterize the stoichiometric demands of microbes from these subarctic soils, we incubated soils from ambient temperatures after the factorial addition of C, N and P substrates separately and in combination. In a second experiment, soils that had been exposed to different\u00a0in situ\u00a0warming intensities (+0, +0.5, +1.8, +3.4, +8.7, +15.9\u00a0\u00b0C above ambient) for seven years were incubated after the combined addition of C, N and P to evaluate the capacity of soil microbes to store and immobilize C and N at the different warming scenarios. The seven years of chronic soil warming triggered large and proportional soil C and N losses (4.1\u00a0\u00b1\u00a00.5% \u00b0C\u22121\u00a0of the stocks in unwarmed soils) from the upper 10\u202fcm of soil, with a predominant depletion of the physically accessible organic substrates that were weakly sorbed in\u00a0soil minerals\u00a0up to 8.7\u202f\u00b0C warming. Soil microbes met the increasing respiratory demands under conditions of low C accessibility at the expenses of a reduction of the standing biomass in warmer soils. This together with the strict microbial C:N stoichiometric demands also constrained their capacity of N retention, and increased the vulnerability of soil to N losses. Our findings suggest a strong control of\u00a0microbial physiology and C:N stoichiometric needs on the retention of soil N and on the resilience of soil C stocks from high-latitudes to warming, particularly during periods of vegetation dormancy and low C inputs.", "keywords": ["0301 basic medicine", "Microbial carbon and nutrients limitation", "Microbial biomass", "TERM", "03 medical and health sciences", "FOREST SOIL", "Temperature increase", "ORGANIC-CARBON", "Substrate induced respiration", "SDG 13 - Climate Action", "TEMPERATURE SENSITIVITY", "CYCLE", "106026 Ecosystem research", "METAANALYSIS", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "CLIMATE-CHANGE", "Nitrogen loss", "AVAILABILITY", "15. Life on land", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "FEEDBACKS", "Nitrogen immobilization", "106022 Microbiology", "PLANT BIOMASS"]}, "links": [{"href": "https://doi.org/2932651632"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2932651632", "name": "item", "description": "2932651632", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2932651632"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "5322e3b2-2292-4c8f-b000-ea782fc8283a", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:55:46", "type": "Dataset", "language": "de", "title": "INSPIRE-WFS Soil / Kohlenstoffvorr\u00e4te im Boden BB", "description": "Der interoperable INSPIRE-WFS ist ein Downloaddienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Kohlenstoffvorr\u00e4te im Boden Brandenburg) bereitstellt. Er gibt einen \u00dcberblick \u00fcber die Kohlenstoffvorr\u00e4te bis 0,3 m, 1 m und 2 m Tiefe unter der Gel\u00e4ndeoberfl\u00e4che im Land Brandenburg. Die Karte basiert auf den Legendeneinheiten der Boden\u00fcbersichtskarte (B\u00dcK300) mit entsprechender Zuordnung von parametrisierten Fl\u00e4chenbodenformen, die durch Gel\u00e4nde- und Laboruntersuchungen bestimmt wurden. Dazu wurden f\u00fcr gleiche Horizont-Substrat-Kombinationen die entsprechenden Parameter (wie Corg-Gehalte) statistisch abgeleitet (i.d.R. der Medianwert). Die Abfolge von Horizont-Substrat-Kombinationen der Fl\u00e4chenbodenformen mit ihren Corg-Gehalten bildet die Grundlage f\u00fcr die Mengenberechnung in t/ha. Diese wurden in Stufen von je 30 t/ha klassifiziert. Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Karte INSPIRE-konform vor. Der WFS beinhaltet die folgenden FeatureTypes:     - Beobachtungsprozess (ompr:Process) mit Angaben zu der am Prozess beteiligten Organisation LBGR,      - abgeleitetes Bodenobjekt (so:SoilDerivedObject) mit Angaben zur Beobachtung der Bodeneigenschaft zur Beschreibung des abgeleiteten Bodenobjekts,     - Beobachtung einer Bodeneigenschaft (om:OM_Observation) mit Angaben zum Charakter des vom Boden abgeleiteten Objekts, der beobachtete Eigenschaft, der vom Boden abgeleiteten Beobachtung bodenbezogene Eigenschaften (SoilDerivedObjectParameterNameValue:organicCarbonStock), dem Ergebnis der Beobachtungen des abgeleiteten Bodenobjekts,        - Bodenk\u00f6rper (so:SoilBody), abgegrenzter und hinsichtlich bestimmter Bodeneigenschaften und/oder r\u00e4umlicher Muster homogener Teil der Bodendecke, und     - Bodenschicht (so:SoilLayer) mit Angaben zur Zuordnung der Schicht zu einem ihrer Art entsprechenden Begriff (LayerTypeValue: topsoil und depthInterval), zum abgeleiteten Profil, das als Referenzprofil f\u00fcr eine bestimmte Art von Boden in einem bestimmten geografischen Gebiet dient, der oberen und unteren Tiefe des Profilelements, gemessen von der Oberfl\u00e4che (0 cm) eines Bodenprofils (in cm).     ---      The compliant INSPIRE-WFS Soil / Kohlenstoffvorr\u00e4te im Boden Brandenburg is a download service that delivers data in the annex schema Soil (derived from the original data set: Carbon stocks in the soil Brandenburg). It provides an overview of the carbon stocks up to 0.3 m, 1 m and 2 m depth below ground level in the state of Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms determined by field and laboratory investigations. For the same horizon-substrate combinations, the corresponding parameters (such as Corg contents) were statistically derived (usually the median value). The sequence of horizon-substrate combinations of the soil forms with their Corg contents formed the basis for the quantity calculation in t/ha. These were classified in steps of 30 t/ha each. The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WFS includes the following feature types:      - Observation process (ompr:Process) with information about the organization LBGR involved in the process,     - Soil derived object (so:SoilDerivedObject) with information on the observation of the soil property for characterizing the soil derived object,     - Observations of a soil derived object (om:OM_Observation) with information about the character of the soil derived object, the observed property, the soil derived observation of soil related properties (SoilDerivedObjectParameterNameValue:organicCarbonStock), the result of the observations of the soil derived object,      - Soil body (so:SoilBody), part of the soil cover that is delineated and that is homogeneous with regard to certain soil properties and/or spatial patterns, and     - Soil layer (so:SoilLayer) with information about the assignation of the layer according to the concept that fits its kind (LayerTypeValue: topsoil and depthInterval), to the derived soil profile, which serves as a reference profile for a particular type of soil in a specific geographical area, including the upper and lower depth of the profile element from the surface (0 cm) of a soil profile (in cm).", "formats": [{"name": "HTML"}], "keywords": ["bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "geologie", "infofeatureaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "kohlenstoff", "kohlenstoffvorra\u0308te", "kohlenstoffvorra\u0308te-im-boden-brandenburg", "om_observation", "opendata", "organic-carbon-stock", "organiccarbonstock", "process", "soil", "soilbody", "soilderivedobject", "soillayer", "topsoil", "wfs"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D5322e3b2-2292-4c8f-b000-ea782fc8283a"}, {"href": "https://inspire.brandenburg.de/services/so_cvorr_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://isk.geobasis-bb.de/geodienste/Sonstiges/Hilfe_Nutzung_Downloaddienst.pdf"}, {"href": "http://data.europa.eu/88u/dataset/5322e3b2-2292-4c8f-b000-ea782fc8283a~~1"}, {"rel": "self", "type": "application/geo+json", "title": "5322e3b2-2292-4c8f-b000-ea782fc8283a", "name": "item", "description": "5322e3b2-2292-4c8f-b000-ea782fc8283a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5322e3b2-2292-4c8f-b000-ea782fc8283a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "836f001d-da7e-489a-bf8b-fb798be61231", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:29:17Z", "type": "Dataset", "language": "nl", "title": "SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook", "description": "This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC loss cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC loss cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional soil organic carbon monitoring network Cmon in Flanders (0-10 and 10-30 cm soil layer). The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm data. The following auxiliary data was used: Digital soil map of the Flemish Region: soil types; Regional climate data; Land use - Flanders - state 2022; Tertiary geological map (1/50,000); Ground cover map (BBK), 1m resolution, recording 2021; WRB Soil Units 40k: Soil map of the Flemish Region according to the international soil classification system World Reference Base on a scale of 1:40,000; The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.", "formats": [{"name": "GEOTIFF"}], "keywords": ["akker", "be", "bebouwde-omgeving", "belgium", "bodem", "bos", "concentratie-[waarde]", "d3.3-wp3-task-3.2", "databank-ondergrond-vlaanderen", "departement-omgeving", "digital-soil-mapping", "dov", "ejpsoil", "flanders", "grant-n-862695", "grasland", "koolstof", "ondergrond", "serena", "soc", "socloss", "soil-organic-carbon-concentration", "vlaanderen"], "contacts": [{"organization": "Vlaamse overheid, Departement Omgeving, Vlaams Planbureau voor Omgeving (VPO)", "roles": ["creator"]}, {"organization": "https://org.belgif.be/id/CbeEstablishmentUnit/2143719695", "roles": ["publisher"]}]}, "links": [{"href": "https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/fed8a456-ec10-4a92-8764-5798719b8d76"}, {"href": "https://www.vlaanderen.be/DataCatalogRecord/fed8a456-ec10-4a92-8764-5798719b8d76"}, {"href": "http://data.europa.eu/88u/dataset/836f001d-da7e-489a-bf8b-fb798be61231"}, {"rel": "self", "type": "application/geo+json", "title": "836f001d-da7e-489a-bf8b-fb798be61231", "name": "item", "description": "836f001d-da7e-489a-bf8b-fb798be61231", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/836f001d-da7e-489a-bf8b-fb798be61231"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "e2478c9e-97b5-44f3-a610-27dac1f362f5", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:52:07", "type": "Dataset", "language": "de", "title": "INSPIRE-WMS Soil / Kohlenstoffvorr\u00e4te im Boden BB", "description": "Der interoperable INSPIRE-WMS ist ein Darstellungsdienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Kohlenstoffvorr\u00e4te im Boden Brandenburg) bereitstellt. Er gibt einen \u00dcberblick \u00fcber die Kohlenstoffvorr\u00e4te bis 0,3 m, 1 m und 2 m Tiefe unter der Gel\u00e4ndeoberfl\u00e4che im Land Brandenburg. Die Karte basiert auf den Legendeneinheiten der Boden\u00fcbersichtskarte (B\u00dcK300) mit entsprechender Zuordnung von parametrisierten Fl\u00e4chenbodenformen, die durch Gel\u00e4nde- und Laboruntersuchungen bestimmt wurden. Dazu wurden f\u00fcr gleiche Horizont-Substrat-Kombinationen die entsprechenden Parameter (wie Corg-Gehalte) statistisch abgeleitet (i.d.R. der Medianwert). Die Abfolge von Horizont-Substrat-Kombinationen der Fl\u00e4chenbodenformen mit ihren Corg-Gehalten bildet die Grundlage f\u00fcr die Mengenberechnung in t/ha. Diese wurden in Stufen von je 30 t/ha klassifiziert. Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Boden\u00fcbersichtskarte INSPIRE-konform vor. Der WMS beinhaltet die folgenden Layer:      - SO.organicCarbonStock (30 cm): Kohlenstoffvorr\u00e4te beschreibt die im Boden gespeichert Menge an organischem Kohelnstoff Corg in t/ha bei einer Tiefe von 30 cm.     - SO.organicCarbonStock (100 cm): Kohlenstoffvorr\u00e4te beschreibt die im Boden gespeichert Menge an organischem Kohelnstoff Corg in t/ha bei einer Tiefe von 100 cm.     - SO.organicCarbonStock (200 cm): Kohlenstoffvorr\u00e4te beschreibt die im Boden gespeichert Menge an organischem Kohelnstoff Corg in t/ha bei einer Tiefe von 200 cm.     - SO.SoilBody: Abgegrenzter und hinsichtlich bestimmter Bodeneigenschaften und/oder r\u00e4umlicher Muster homogener Teil der Bodendecke.     ---      The compliant INSPIRE-WMS Soil / Kohlenstoffvorr\u00e4te im Boden Brandenburg is a view service that delivers data in the annex schema Soil (derived from the original data set: Carbon stocks in the soil Brandenburg). It provides an overview of the carbon stocks up to 0.3 m, 1 m and 2 m depth below ground level in the state of Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms determined by field and laboratory investigations. For the same horizon-substrate combinations, the corresponding parameters (such as Corg contents) were statistically derived (usually the median value). The sequence of horizon-substrate combinations of the soil forms with their Corg contents formed the basis for the quantity calculation in t/ha. These were classified in steps of 30 t/ha each. The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WMS includes the following layers:      - SO.organicCarbonStock (30 cm): Carbon stock indicates the amount of organic carbon stored in soil up to a depth of 2 m in t/ha (in this case 30 cm).      - SO.organicCarbonStock (100 cm): Carbon stock indicates the amount of organic carbon stored in soil up to a depth of 2 m in t/ha (in this case 100 cm).      - SO.organicCarbonStock (200 cm): Carbon stock indicates the amount of organic carbon stored in soil up to a depth of 2 m in t/ha (in this case 200 cm).      - SO.SoilBody: Part of the soil cover that is delineated and that is homogeneous with regard to certain soil properties and/or spatial patterns.", "formats": [{"name": "HTML"}], "keywords": ["bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "de", "depthinterval", "derivedsoilprofile", "geologie", "infomapaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "kohlenstoff", "kohlenstoffvorra\u0308te", "kohlenstoffvorra\u0308te-im-boden-brandenburg", "om_observation", "opendata", "organic-carbon-stock", "organiccarbonstock", "process", "soil", "soilbody", "soilderivedobject", "soillayer", "topsoil", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3De2478c9e-97b5-44f3-a610-27dac1f362f5"}, {"href": "https://inspire.brandenburg.de/services/so_cvorr_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/e2478c9e-97b5-44f3-a610-27dac1f362f5~~1"}, {"rel": "self", "type": "application/geo+json", "title": "e2478c9e-97b5-44f3-a610-27dac1f362f5", "name": "item", "description": "e2478c9e-97b5-44f3-a610-27dac1f362f5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e2478c9e-97b5-44f3-a610-27dac1f362f5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "e47f362e-079e-492c-9cea-d634ca296330", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-25T09:12:31", "type": "Dataset", "language": "en", "title": "Irish Soil Information System National Soils Map", "description": "SIS SOIL:The new Irish Soil Information System concludes a 5 year programme, supported by the Irish Environmental Protection Agency (STRIVE Research Programme 2007-2013) and Teagasc, to develop a new 1:250,000 scale national soil map (http://soils.teagasc.ie). The Irish Soil Information System adopted a unique methodology combining digital soil mapping techniques with traditional soil survey application. Developing earlier work conducted by An Foras Tal\u00fantais, the project generated soil-landscape models for previously surveyed counties. These soil-landscape (\u2018soilscape\u2019) models formed the basis for training statistical \u2018inference engines\u2019 for predicting soil mapping units, checked during field survey. 213 soil series are identified, each with differing characteristics, having contrasting environmental and agronomic responses. Properties were recorded in a database able to satisfy national and EU policy requirements. The Irish soil map and related soil property data will also serve public interest, providing the means to learn online about Irish soil resources. Use the Symbology layer file 'SOIL_SISNationalSoil.lyr' based on Value Field 'Association_Unit'. SIS SOIL DRAINAGE:In Ireland, soil drainage category is considered to have a predominant influence on soil processes (Schulte et al., 2012). The maritime climate of Ireland drives wet soil conditions, such that excess soil moisture in combination with heavy textured soils is considered a key constraint in relation to achieving productivity and environmental targets. Both soil moisture content and the rate at which water drains from the soil are critical indicators of soil physical quality and the overall functional capacity of soil. Therefore, a natural extension to the Irish Soil Information System included the development of an indicative soil drainage map for Ireland. The soil subgroup map was used to develop the indicative drainage map, based on diagnostic criteria relating to the subgroup categorization. Use the Symbology layer file 'SOIL_SISSoilDrainage.lyr' based on Value Field 'Drainage'. SIS SOIL DEPTH: Soil depth is a measure of the thickness of the soil cover and reflects the relationship between parent material and length of soil forming processes. Soil depth determines the potential rooting depth of plants and any restrictions within the soil that may hinder rooting depth. Plants derive nearly 80 per cent of their water needs from the upper part of the soil solum, i.e. where the root system is denser. The rooting depths depend on plant physiology, type of soil and water availability. Generally, vegetables (beans, tomatoes, potatoes, parsnip, carrots, leek, broccoli, etc.) are shallow rooted, about 50\u201360 cm; fruit trees and some other plants have medium rooting depths, 70\u2013120 cm and other crops such as barley, wheat, oats, and maize may have deeper roots. Furthermore, rooting depths vary according to the age of the plants. The exact soil depth is difficult to define accurately due to its high variability across the landscape. The effective soil depth can be reduced by the presence of bedrock or impermeable layers. Use the Symbology layer file 'SOIL_SISSoilDepth.lyr' based on Valued Field 'Depth'. SIS SOIL TEXTURE:Soil texture is an important soil characteristic that influences processes such as water infiltration rates, rootability, gas exchanges, leaching, chemical activity, susceptibility to erosion and water holding capacity. The soil textural class is determined by the percentage of sand, silt, and clay. Soil texture also influences how much water is available to the plant; clay soils have a greater water holding capacity than sandy soils. Use the Symbology layer file 'SOIL_SISSoilTexture.lyr' based on Value Field 'Texture'. SIS SOIL SOC:In the previous national soil survey conducted by An Foras Taluntais, 14 counties were described in detail with soil profile descriptions provided for the representative soil series found within a county. Soil samples were taken at each soil horizon to a depth of 1 meter and analyses performed for a range of measurements, including soil organic carbon, texture, cation exchange capacity, pH; however in most cases no bulk density measurements were taken. This meant that while soil organic carbon concentrations were available this could not be related to a stock for a given soil series. In 2012/2013, 246 profile pits were sampled and analysed as part of the Irish Soil Information System project to fill in gaps in the description of representative profile data for Ireland. Use the Symbology layer file 'SOIL_SISSoilSOC.lyr' based on Value Field 'SOC'.", "formats": [{"name": "HTML"}], "keywords": ["depth", "drainage", "environment", "ie", "irish-soils-map", "soil", "soil-classification", "soil-depth", "soil-drainage", "soil-map", "soil-modelling", "soil-organic-carbon", "soil-properties", "soil-texture", "soil-type", "soil-use", "soils"], "contacts": [{"organization": "Environmental Protection Agency", "roles": ["creator"]}, {"organization": "https://data.gov.ie/organization/environmental-protection-agency", "roles": ["publisher"]}]}, "links": [{"href": "http://erc.epa.ie/safer/iso19115/displayISO19115.jsp?isoID=3056"}, {"href": "http://gis.epa.ie/GetData/Download"}, {"href": "http://gis.epa.ie/geoserver/EPA/wms?service=WMS&version=1.1.0&request=GetMap&layers=EPA:SOIL_SISNationalSoils&styles=&bbox=17444.120988219045%2C19584.757142474875%2C334573.93795107584%2C459879.54895535484&width=553&height=768&srs=EPSG:29902&format=image%2Fpng"}, {"href": "http://gis.teagasc.ie/soils/"}, {"href": "https://gis.epa.ie/EPAMaps/"}, {"href": "http://data.europa.eu/88u/dataset/e47f362e-079e-492c-9cea-d634ca296330~~1"}, {"rel": "self", "type": "application/geo+json", "title": "e47f362e-079e-492c-9cea-d634ca296330", "name": "item", "description": "e47f362e-079e-492c-9cea-d634ca296330", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e47f362e-079e-492c-9cea-d634ca296330"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "e52c727d0435b6268df038c75392548a", "type": "Feature", "geometry": null, "properties": {"updated": "2025-04-15T00:00:00Z", "type": "Dataset", "title": "DirvAgroch_DR10LT - Data set of agrochemical properties of Lithuanian soil", "description": "DirvAgroch_DR10LT is the data set of soil agrochemical properties, where information is stored on soil pH (acidity), available phosphorus, available potassium, mineral nitrogen, and humus (organic carbon) content.", "formats": [{"name": "SHP"}], "keywords": ["agrochemical-properties", "agrochemine\u0307s-savybe\u0307s", "analyses", "atviri-duomenys", "dirvagroch_db10lt", "dirvagroch_dr10lt", "dirvoz\u030cemio-chemine\u0307s-savybe\u0307s.", "dirvoz\u030cemis", "fosforas", "humus", "humusas", "k2o", "kalis", "land-resources-monitoring-information-system", "lrmis", "lt", "open-data", "organic-carbon", "organine\u0307-anglis", "p2o5", "ph", "phosphorus", "potassium", "soil", "soil-chemical-properties", "tyrimai", "z\u030ceme\u0307s-is\u030ctekliu\u0328-stebe\u0307senos-informacine\u0307-sistema", "z\u030cisis"]}, "links": [{"href": "https://www.geoportal.lt/download/opendata/DirvAgroch_DR10LT/DirvAgroch_DR10LT.zip"}, {"href": "http://data.europa.eu/88u/dataset/https-data-gov-lt-datasets-2960-"}, {"href": "https-data-gov-lt-datasets-2960-"}, {"rel": "self", "type": "application/geo+json", "title": "e52c727d0435b6268df038c75392548a", "name": "item", "description": "e52c727d0435b6268df038c75392548a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e52c727d0435b6268df038c75392548a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "434d353af2e8ebc0ab34b1573dd0ca85", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-04T07:23:35.264513Z", "type": "Dataset", "language": "en", "title": "Estimated soil carbon inputs and modeling results for Swedish arable land under rotation in areas approved for environmental compensation", "description": "This data set results from researching the effects of removing crop residues and cultivating intermediate crops (IC) on long-term soil organic carbon (SOC) in Swedish arable land areas approved for environmental compensation. Thus, it contains data considering five different scenarios: S1, a base scenario with no residue removal nor IC cultivation; S2, an alternative scenario with IC cultivation; S3, an alternative scenario where crop residues are harvested for biogas production with the return of digestate as soil amendment; S4, an alternative scenario with IC cultivation and harvest of crop residues for biogas production; and S5, an alternative scenario with IC cultivation and where both crop residues and IC biomass are harvested for biogas production.  Estimations of SOC inputs are based on estimated biomass availability for each yield survey district (SKO) from the previously published dataset (Barrios Latorre, S. A. (2024), information collected from the statistics database of the Swedish Board of Agriculture (Jordburksverket), and Statistics Sweden (SCB, 2023). It considered all the Swedish SKOs where removing residues and cultivating intermediate crops is technically possible. The geospatial data containing the boundaries of the SKOs can be requested from Jordbruksverket or accessed directly from the previous dataset (https://doi.org/10.5878/t9ey-ac36).  Estimations of SOC inputs are differentiated by source: aboveground biomass (AGB), belowground biomass (BGB), and organic amendments (OA). Furthermore, the total SOC at steady state (Css) for each scenario was estimated using the Introductory Carbon Balance Model (ICBM) (Menichetti et al., 2024).  The file contains 85 rows (SKOs) and 34 columns.  References Barrios Latorre, S. A. (2024). Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in Sweden (Version 1) [Data set]. Swedish University of Agricultural Sciences. Available at: https://doi.org/10.5878/t9ey-ac36 Menichetti, L., K\u00e4tterer, T., & Bolinder, M. A. (2024). Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs. Carbon Management, 15(1), 2304749. https://doi.org/10.1080/17583004.2024.2304749 SCB. (2023). G\u00f6dselmedel i jordbruket 2021/22. Mineral- och stallg\u00f6dsel till olika gr\u00f6dor samt hantering och lagring av stallg\u00f6dsel (MI 30 SM 2302; Milj\u00f6v\u00e5rd).", "keywords": ["bioeconomy", "bioekonomi", "biogas", "biomass", "biomass-production", "catch-cropping", "land-use", "mark", "markanva\u0308ndning", "se", "soil", "soil-carbon", "soil-carbon-storage", "soil-fertility", "soil-organic-carbon", "soil-organic-matter", "sustainable-agriculture"], "contacts": [{"organization": "Sergio Alejandro Barrios Latorre", "roles": ["creator"]}, {"organization": "http://dataportal.se/organisation/SE2021002817", "roles": ["publisher"]}]}, "links": [{"href": "http://data.europa.eu/88u/dataset/https-doi-org-10-5878-rsvb-cb29"}, {"href": "https://doi.org/10.5878/rsvb-cb29"}, {"href": "https-doi-org-10-5878-rsvb-cb29"}, {"rel": "self", "type": "application/geo+json", "title": "434d353af2e8ebc0ab34b1573dd0ca85", "name": "item", "description": "434d353af2e8ebc0ab34b1573dd0ca85", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/434d353af2e8ebc0ab34b1573dd0ca85"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "e7073a96664cab41529902209736629f", "type": "Feature", "geometry": null, "properties": {"updated": "2024-01-24T09:32:09.108968Z", "type": "Dataset", "language": "en", "title": "Biomass availability from the harvest of crop residues and oilseed radish as an intermediate crop at yield survey district level in Sweden", "description": "The data set is a result of a study that investigates the potential of intermediate crops to offset the negative effects on soil organic carbon as a consequence of the removal of crop residues for the bioeconomy. 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