{"type": "FeatureCollection", "features": [{"id": "10.1111/sum.12198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:19:52Z", "type": "Journal Article", "created": "2015-07-31", "title": "Long-Term Effects Of Tillage, Nutrient Application And Crop Rotation On Soil Organic Matter Quality Assessed By Nmr Spectroscopy", "description": "Abstract<p>Crop and land management practices affect both the quality and quantity of soil organic matter (SOM) and hence are driving forces for soil organic carbon (SOC) sequestration. The objective of this study was to assess the long\uffe2\uff80\uff90term effects of tillage, fertilizer application and crop rotation onSOCin an agricultural area of southern Norway, where a soil fertility and crop rotation experiment was initiated in 1953 and a second experiment on tillage practices was initiated in 1983. The first experiment comprised 6\uffe2\uff80\uff90yr crop rotations with cereals only and 2\uffe2\uff80\uff90yr cereal and 4\uffe2\uff80\uff90yr grass rotations with recommended (base) and more than the recommended (above base) fertilizer application rates; the second experiment dealt with autumn\uffe2\uff80\uff90ploughed (conventional\uffe2\uff80\uff90till) plots and direct\uffe2\uff80\uff90drilled plots (no\uffe2\uff80\uff90till). Soil samples at 0\uffe2\uff80\uff9310 and 10\uffe2\uff80\uff9330\uffc2\uffa0cm depths were collected in autumn 2009 and analysed for their C and N contents. The quality ofSOMin the top layer was determined by13C solid\uffe2\uff80\uff90stateNMRspectroscopy. TheSOCstock did not differ significantly because of rotation or fertilizer application types, even after 56\uffc2\uffa0yr. However, the no\uffe2\uff80\uff90till system showed a significantly higherSOCstock than the conventional\uffe2\uff80\uff90till system at the 0\uffe2\uff80\uff9310\uffc2\uffa0cm depth after the 26\uffc2\uffa0yr of experiment, but it was not significantly different at the 10\uffe2\uff80\uff9330\uffc2\uffa0cm depth. In terms of quality,SOMwas found to differ by tillage type, rate of fertilizer application and crop rotation. The no\uffe2\uff80\uff90till system showed an abundance of O\uffe2\uff80\uff90alkyl C, while conventional\uffe2\uff80\uff90till system indicated an apparently indirect enrichment in alkyl C, suggesting a more advanced stage ofSOMdecomposition. The long\uffe2\uff80\uff90term quantitative and qualitative effects onSOMsuggest that adopting a no\uffe2\uff80\uff90tillage system and including grass in crop rotation and farmyard manure in fertilizer application may contribute to preserve soil fertility and mitigate climate change.</p>", "keywords": ["Fertilizer application", "2. Zero hunger", "Crop rotation", " fertilizer application", " soil organic carbon (SOC)", " soil organic matter (SOM)", " tillage", " NMR spectroscopy.", "NMR spectroscopy", "Crop rotation", "Soil organic matter (SOM)", "13. Climate action", "Soil organic carbon (SOC)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage"]}, "links": [{"href": "https://doi.org/10.1111/sum.12198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12198", "name": "item", "description": "10.1111/sum.12198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-31T00:00:00Z"}}, {"id": "10.5281/zenodo.14039385", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:23Z", "type": "Dataset", "title": "Maps of topsoil (0-30 cm) properties of Tuscany (Italy)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  The topsoil (0-30 cm) properties maps are prepared to evaluate soil ecosystem services in SERENA/EJP-Soil and for applying SOC loss Cookbook and SOIL Loss Cookbook. In particular Soil Organic Carbon content map was directly considered as an application of SOC loss Cookbook (DOI: 10.5281/zenodo.13951265\u00a0Version 3).  They are based on Tuscany Region soil database available at Geoscopio (https://www502.regione.toscana.it/geoscopio/pedologia.html) and on point soil data not freely available (Lamma Consortium). More information and requests to:\u00a0info@lamma.toscana.it.  In accordance with the methodology reported in the Soil Organic Carbon Mapping Cookbook (Yigini et al., 2018), the following soil properties were mapped for all Tuscany Region:    soil organic carbon content (dag/kg),  soil organic carbon stock (t/ha),  textural fractions (sand, silt and clay, USDA limits, dag/kg),  rock fragments (vol/vol),  pH in water,  bulk density (g/cm3).   They were obtained through Digital Soil Mapping (DSM) approach, based on correlations with numerous environmental factors and using Random Forest algorithm.  All the maps have a 100 m spatial resolution.", "keywords": ["silt", "bulk density", "pH", "soil organic carbon content", "sand", "clay", "Grant n. 862695", "Digital Soil Mapping", "textural fractions", "Italy", "topsoil properties", "Tuscany", "soil organic carbon stock", "EJP-SOIL", "SERENA Project"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14039385"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14039385", "name": "item", "description": "10.5281/zenodo.14039385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14039385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-05T00:00:00Z"}}, {"id": "10.5281/zenodo.14936177", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:42Z", "type": "Dataset", "title": "Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository", "description": "Overview  Precision Liming Soil Datasets (LimeSoDa) is a collection of 31 datasets from a field- and farm-scale soil mapping context. These datasets are 'ready-to-use' for modeling purposes, as they include target soil properties and features in a tidy tabular format. Three target soil properties are present in every dataset: (1) soil organic matter (SOM) or soil organic carbon (SOC), (2) pH, and (3) clay content, while the features for modeling are dataset-specific. The primary goal of `LimeSoDa` is to enable more reliable benchmarking of machine learning methods in digital soil mapping and pedometrics. All the associated materials and data from LimeSoDa can be downloaded in this data repository. However, for a more in-depth analysis, we refer to the published paper 'LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping' by Schmidinger et al. (2025). You may also use our R\u00a0and Python package likewise called LimeSoDa.  \u00a0  Citation  Upon usage of datasets from LimeSoDa, please cite our associated paper:  Schmidinger, J., Vogel, S., Barkov, V., Pham, A.-D., Gebbers, R., Tavakoli, H., Correa, J., Tavares, T.R., Filippi, P., Jones, E. J., Lukas, V., Boenecke, E., Ruehlmann, J., Schroeter, I., Kramer, E., Paetzold, S., Kodaira, M., Wadoux, A.M.J.-C., Bragazza, L., Metzger, K., Huang, J., Valente, D.S.M., Safanelli, J.L., Bottega, E.L., Dalmolin, R.S.D., Farkas, C., Steiger, A., Horst, T. Z., Ramirez-Lopez, L., Scholten, T., Stumpf, F., Rosso, P., Costa, M.M., Zandonadi, R.S., Wetterlind, J. & Atzmueller, M. (2025). LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping.", "keywords": ["Environmental sciences", "Soil Organic Carbon", "Pedometrics", "pH", "Soil Organic Matter", "Clay", "Remote sensing", "Digital Soil Mapping"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14936177"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14936177", "name": "item", "description": "10.5281/zenodo.14936177", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14936177"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15096788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:46Z", "type": "Dataset", "title": "HWSD2_Climate_and_Socioeconomic_agriculturalsoil_dataset_mainland_portugal", "description": "The study uses the Harmonized World Soil Database (HWSD v2.0) developed by FAO and IIASA for biophysical models and agroecological queries. This database consolidates information from various sources, including the European Soil Database, the 1:1 million soil map of China, and national soil maps from Afghanistan, Ghana, and T\u00fcrkiye. It has a spatial resolution of around 1 km and is revised in 2013 and 2023. HWSD v2.0 includes detailed information on soil mapping units, general soil unit information, and specific physical and chemical soil unit characteristics across seven depth layers.  The database fields cover a wide range of attributes, such as soil texture, bulk density, organic carbon content, pH, and cation exchange capacity. The harmonization process ensures that data from different sources is standardized and integrated, providing a consistent and reliable dataset for various applications. However, the HWSD v2.0 has some limitations, such as combining soil inventories gathered at different times, scales, and precision, which may affect its reliability for national studies. It is recommended to use national-level harmonized soil databases for more accurate results in specific regions.  For Portugal's mainland, the data presented in the HWSD v2.0 dataset is sourced from the European Soil Data Centre (ESDAC), which contains various metrics of chemical and physical soil properties. Out of the 2882 Portuguese parishes, only 22 are left out, representing 0.76% percent of the total number of parishes.  The study uses several datasets to analyze land use and occupation in Portugal. The Land Use and Occupation Map (COS2007v3.0) is a detailed thematic map of land use and occupation for mainland Portugal, developed by the Directorate-General for Territory (DGT). The data is organized hierarchically and includes 83 classes of land use and occupation. The CHELSA database, maintained by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), provides bioclimatic indexes for precipitation and average temperature over various temporal intervals and variables.  The National Institute of Statistics (INE) provides data on agricultural machinery distribution across different geographical locations. The dataset covers the total number of agricultural machines, as well as specific categories such as wheeled and tracked tractors, motor cultivators, power hoes, motor mowers, and combine harvesters. The dataset also examines the distribution of farms with access to irrigation based on geographical location.  The burned land data from 1975 to 2023 provides a comprehensive overview of fire occurrences and their impact over time. This data is crucial for understanding long-term patterns, assessing the effectiveness of fire prevention measures, and informing future land management and policy decisions.  Lastly, the population density dataset from the 2021 Census and the 2011 Census provides a decennial comparison of total population density across different geographical regions. These data are essential for understanding the evolution of land use and occupation in Portugal and their implications for environmental and agricultural consequences.", "keywords": ["Soil", "Total organic carbon", "Land use", "Soil use", "Atmospheric precipitation", "Soil type", "Organic carbon", "Land surface temperature"], "contacts": [{"organization": "Almeida Santos, R. G. F.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15096788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15096788", "name": "item", "description": "10.5281/zenodo.15096788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15096788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "10.1016/j.agee.2009.07.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:55Z", "type": "Journal Article", "created": "2009-07-31", "title": "Tillage And Cropping Effects On Soil Organic Carbon In Mediterranean Semiarid Agroecosystems: Testing The Century Model", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Soil organic carbon", "13. Climate action", "Dryland agroecosystems", "0401 agriculture", " forestry", " and fisheries", "Semiarid Spain", "04 agricultural and veterinary sciences", "15. Life on land", "Simulation modeling", "Tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2009.07.001"}, {"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.2009.07.001", "name": "item", "description": "10.1016/j.agee.2009.07.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2009.07.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2017.10.023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:02Z", "type": "Journal Article", "created": "2017-11-07", "title": "Critical review of the impacts of grazing intensity on soil organic carbon storage and other soil quality indicators in extensively managed grasslands", "description": "Livestock grazing intensity (GI) is thought to have a major impact on soil organic carbon (SOC) storage and soil quality indicators in grassland agroecosystems. To critically investigate this, we conducted a global review and meta-analysis of 83 studies of extensive grazing, covering 164 sites across different countries and climatic zones. Unlike previous published reviews we normalized the SOC and total nitrogen (TN) data to a 30\u00a0cm depth to be compatible with IPCC guidelines. We also calculated a normalized GI and divided the data into four main groups depending on the regional climate (dry warm, DW; dry cool, DC; moist warm, MW; moist cool, MC). Our results show that taken across all climatic zones and GIs, grazing (below the carrying capacity of the systems) results in a decrease in SOC storage, although its impact on SOC is climate-dependent. When assessed for different regional climates, all GI levels increased SOC stocks under the MW climate (+7.6%) whilst there were reductions under the MC climate (-19%). Under the DW and DC climates, only the low (+5.8%) and low to medium (+16.1%) grazing intensities, respectively, were associated with increased SOC stocks. High GI significantly increased SOC for C4-dominated grassland compared to C3-dominated grassland and C3-C4 mixed grasslands. It was also associated with significant increases in TN and bulk density but had no effect on soil pH. To protect grassland soils from degradation, we recommend that GI and management practices should be optimized according to climate region and grassland type (C3, C4 or C3-C4 mixed).", "keywords": ["330", "QH301 Biology", "630", "Article", "QH301", "NE/M021327/1", "Grazing intensity", "SDG 13 - Climate Action", "grazing", "2. Zero hunger", "Soil organic carbon", "Natural Environment Research Council (NERC)", "NE/P019455/1", "04 agricultural and veterinary sciences", "15. Life on land", "Grassland", "soil organic carbon", "Grazing", "grazing intensity", "total nitrogen", "13. Climate action", "NE/M016900/1", "NE/M019713/1", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "BB/N013484/1", "grassland", "BB/N013468/1"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2017.10.023"}, {"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.2017.10.023", "name": "item", "description": "10.1016/j.agee.2017.10.023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2017.10.023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2016.04.009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:06Z", "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": "10.15454/J9H4BS", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:20:24Z", "type": "Dataset", "title": "Donn\u00e9es de r\u00e9plication pour\u00a0: Biogeography of soil bacteria and archaea across France", "description": "These data concern the study 'Biogeography of soil bacteria and archaea across France' Karimi B, Terrat S, Dequiedt S, Saby NPA, Horrigue W, Leli\u00e8vre M, Nowak V, Jolivet C, Arrouays D, Wincker P, Cruaud C, Bispo A, Maron PA, Bour\u00e9 NCP, Ranjard L. Sci Adv. 2018 Jul 4;4(7):eaat1808. doi: 10.1126/sciadv.aat1808 and is based on data from the RMQS program (French Soil Quality Monitoring Network). The French Soil Quality Monitoring Network (RMQS) is a national program for the assessment and long-term monitoring of the quality of French soils. This network is based on the monitoring of 2240 sites representative of French soils and their land use. These sites are spread over the whole French territory (metropolitan and overseas) along a systematic square grid of 16 km x 16 km cells. The network covers a broad spectrum of climatic, soil and land-use conditions (croplands, permanent grasslands, woodlands, orchards and vineyards, natural or scarcely anthropogenic land and urban parkland). The physical, chemical and biological properties of the soil are measured on each site. These soil analyses were carried out by the Soil Analysis Laboratory of INRAE (Arras, France). The spatial and temporal variability of soil properties are explained by biophysical variables, sources of contamination, history of land-use and management practices on each plot. The first sampling campaign in metropolitan France took place from 2000 to 2009 and the second campaign has begun in 2016. At each site, 25 core samples were taken by layer with an auger within a 20 m \u00d7 20 m plot and combined into a composite sample. Analyses used in this study only concern the surface layer (generally 0\u201330 cm layer) of samplings from the first campaign in metropolitan France. The dataset published contains all the raw data used in the statistical analysis in order to make them available for any further study. The table contains soil properties, observations on land use, and coordinates. We warn the user that coordinates published here are not the right coordinates, the RMQS site can be located until 1 km around this point. Real coordinates can not be made publicly available because of confidential information.", "keywords": ["2. Zero hunger", "silt", "Earth and Environmental Science", "cation exchange capacity", "Evapotranspiration", "Soils and soil sciences", "pH", "land use", "clay", "sand", "15. Life on land", "6. Clean water", "soil", "air temperature", "soil organic carbon", "Earth and Environmental Sciences", "Land Use", "Soil Sciences", "calcium carbonate", "phosphorus content", "Environmental Research", "Natural Sciences", "Geosciences", "altitude"], "contacts": [{"organization": "Saby, Nicolas, Boulonne, Line, Rati\u00e9, C\u00e9line, Arrouays, Dominique, Chenu, Jean-Philippe, Toutain, Beno\u00eet, Bispo, Antonio, Jolivet, Claudy,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/J9H4BS"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/J9H4BS", "name": "item", "description": "10.15454/J9H4BS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/J9H4BS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2020.104511", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:21Z", "type": "Journal Article", "created": "2020-02-18", "title": "The influence of tree and soil management on soil organic carbon stock and pools in dehesa systems", "description": "Open AccessThis work was supported by P12-AGR-0931 (Andalusian Government), RTA2014-00063-C04-03 (Spanish Government), SHui (European Commission Grant Agreement number: 773903) and EU\u2014FEDER funds, whose support is gratefully acknowledged.", "keywords": ["2. Zero hunger", "Fractions agroforestry", "04 agricultural and veterinary sciences", "15. Life on land", "630", "Grazing", "Shift from cultivation to grazing", "Crop rotation", "Tree plantation", "0401 agriculture", " forestry", " and fisheries", "Organic carbon fractions", "Agroforestry", "Organic carbon", "Holm oak"], "contacts": [{"organization": "Lizardo Reyna-Bowen, Lizardo Reyna-Bowen, Jes\u00fas Fern\u00e1ndez-Habas, Pilar Fern\u00e1ndez-Rebollo, Jos\u00e9 A. G\u00f3mez,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2020.104511"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2020.104511", "name": "item", "description": "10.1016/j.catena.2020.104511", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2020.104511"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2017.07.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:24Z", "type": "Journal Article", "created": "2017-07-18", "title": "Response of soil dissolved organic matter to microplastic addition in Chinese loess soil", "description": "Plastic debris is accumulating in agricultural land due to the increased use of plastic mulches, which is causing serious environmental problems, especially for biochemical and physical properties of the soil. Dissolved organic matter (DOM) plays a central role in driving soil biogeochemistry, but little information is available on the effects of plastic residues, especially microplastic, on soil DOM. We conducted a soil-incubation experiment in a climate-controlled chamber with three levels of microplastic added to loess soil collected from the Loess Plateau in China: 0% (control, CK), 7% (M1) and 28% (M2) (w/w). We analysed the soil contents of dissolved organic carbon (DOC), dissolved organic nitrogen (DON), NH4+, NO3-, dissolved organic phosphorus (DOP), and PO43- and the activities of fluorescein diacetate hydrolase (FDAse) and phenol oxidase. The higher level of microplastic addition significantly increased the nutrient contents of the DOM solution. The lower level of addition had no significant effect on the DOM solution during the first seven days, but the rate of DOM decomposition decreased in M1 between days 7 and 30, which increased the nutrient contents. The microplastic facilitated the accumulation of high-molecular-weight humic-like material between days 7 and 30. The DOM solutions were mainly comprised of high-molecular-weight humic-like material in CK and M1 and of high-molecular-weight humic-like material and tyrosine-like material in M2. The Microplastic stimulated the activities of both enzymes. Microplastic addition thus stimulated enzymatic activity, activated pools of organic C, N, and P, and was beneficial for the accumulation of dissolved organic C, N and P.", "keywords": ["2. Zero hunger", "China", "Nitrogen", "Microplastic", "0211 other engineering and technologies", "Excitation-emission matrix (EEM)", "Agriculture", "Phosphorus", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Carbon", "6. Clean water", "Soil", "Dissolved organic carbon (DOC)", "Dissolved organic phosphorus (DOP)", "Models", " Chemical", "13. Climate action", "Dissolved organic nitrogen (DON)", "Organic Chemicals", "Plastics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2017.07.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2017.07.064", "name": "item", "description": "10.1016/j.chemosphere.2017.07.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2017.07.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2013.05.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:36Z", "type": "Journal Article", "created": "2013-05-25", "title": "Tropical Agricultural Land Management Influences On Soil Microbial Communities Through Its Effect On Soil Organic Carbon", "description": "Abstract   We analyzed the microbial community that developed after 4 years of testing different soil-crop management systems in the savannah\u2013forest transition zone of Eastern Ghana where management systems can rapidly alter stored soil carbon as well as soil fertility. The agricultural managements were: (i) the local practice of fallow regrowth of native elephant grass ( Pennisetum purpureum ) followed by biomass burning before planting maize in the spring, (ii) the same practice but without burning and the maize receiving mineral nitrogen fertilizer, (iii) a winter crop of a legume, pigeon pea ( Cajanus cajan ), followed by maize, (iv) vegetation free winter period (bare fallow) followed by maize, and (v) unmanaged elephant grass-shrub vegetation. The mean soil organic carbon (SOC) contents of the soils after 4 years were: 1.29, 1.67, 1.54, 0.80 and 1.34%, respectively, differences that should affect resources for the microbial community.  From about 290,000 sequences obtained by pyrosequencing the SSU rRNA gene, canonical correspondence analysis showed that SOC was the most important factor that explained differences in microbial community structure among treatments. This analysis as well as phylogenetic ecological network construction indicated that members of the  Acidobacteria  GP4 and GP6 were more abundant in soils with relatively high SOC whereas  Acidobacteria  GP1, GP7, and  Actinobacteria  were more prevalent in soil with lower SOC. Burning of winter fallow vegetation led to an increase in Bacillales, especially those belonging to spore-forming genera. Of the managements, pigeon-pea cultivation during the winter period promoted a higher microbial diversity and also sequestered more SOC, presumably improving soil structure, fertility, and resiliency.", "keywords": ["2. Zero hunger", "Bacillales", "Agricultural and Veterinary Sciences", "Life on Land", "Agronomy & Agriculture", "SSU rRNA genes", "Biological Sciences", "15. Life on land", "Soil organic carbon loss", "Acidobacteria", "Pigeon-pea winter-period cultivation", "13. Climate action", "Microbial community", "Zero Hunger", "Environmental Sciences", "Tropical agricultural practices"]}, "links": [{"href": "https://escholarship.org/content/qt2f60c133/qt2f60c133.pdf"}, {"href": "https://doi.org/10.1016/j.soilbio.2013.05.007"}, {"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.2013.05.007", "name": "item", "description": "10.1016/j.soilbio.2013.05.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2013.05.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-01T00:00:00Z"}}, {"id": "9b81642374175d90e0b717deca64ff67", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:13Z", "type": "Report", "title": "Satellite time series contribution to organic carbon mapping in cultivated soils at various regional scales", "description": "Open AccessLe carbone organique du sol (COS) dans les zones agricoles joue un r\u00f4le cl\u00e9 dans la s\u00e9curit\u00e9 alimentaire et l'att\u00e9nuation du changement climatique. La quantification du COS est n\u00e9cessaire pour mettre en \u0153uvre des techniques et des pratiques de stockage. Cependant, l'\u00e9chantillonnage du COS dans un monde qui couvre environ 1,5 milliard d'hectares de sols agricoles est un v\u00e9ritable d\u00e9fi. C'est pourquoi l'utilisation de technologies telles que les capteurs satellitaires constitue une alternative prometteuse pour quantifier et cartographier le COS dans diff\u00e9rents types d'agro\u00e9cosyst\u00e8mes \u00e0 travers le monde. L'objectif de cette th\u00e8se est d'\u00e9valuer le potentiel des images satellitaires Sentinel-2 (S2) et Sentinel-1 (S1) pour la cartographie du COS dans les agro-\u00e9cosyst\u00e8mes de la France m\u00e9tropolitaine en utilisant des mod\u00e8les spectraux et spatio-spectraux. Le chapitre 1 aborde l'\u00e9tat d'avancement de la cartographie du COS en France et pr\u00e9sente les principales limitations et m\u00e9thodes actuellement utilis\u00e9es avec les donn\u00e9es d'images satellitaires pour la pr\u00e9diction du COS. Le chapitre 2 pr\u00e9sente les zones d'\u00e9tude situ\u00e9es dans les r\u00e9gions Bretagne, Occitanie et Centre Val de Loire. De plus, les principaux ensembles de donn\u00e9es utilis\u00e9s sont d\u00e9crits et une analyse pr\u00e9liminaire de l'une des zones d'\u00e9tude est pr\u00e9sent\u00e9e. Le troisi\u00e8me chapitre \u00e9value le potentiel des images S2 et des produits d\u00e9riv\u00e9s de S1 et S2 pour pr\u00e9dire le SOC \u00e0 l'aide d'images \u00e0 date unique. Dans ce chapitre comme dans le second, des limitations li\u00e9es principalement aux conditions de surface du sol ont \u00e9t\u00e9 observ\u00e9es ; et les meilleures dates d'image pour d\u00e9tecter le SOC ont \u00e9t\u00e9 identifi\u00e9es. Dans la quatri\u00e8me au lieu d'images \u00e0 date unique, l'utilisation de mosa\u00efques temporelles S2 de sol nu (S2Bsoil) par p\u00e9riodes est abord\u00e9e comme l'utilisation de covariables d\u00e9riv\u00e9es de l'imagerie satellitaire et du terrain. Ce chapitre traite de l'importance de la s\u00e9lection des p\u00e9riodes de production de S2Bsol et de l'utilisation de covariables pertinentes pour comprendre la variabilit\u00e9 spatiale du COS \u00e0 l'\u00e9chelle r\u00e9gionale. Enfin, le dernier chapitre aborde les principaux constats et perspectives \u00e0 envisager dans un futur proche.", "keywords": ["[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "[SDE.MCG] Environmental Sciences/Global Changes", "S\u00e9ries satellitaires Sentinel", "Digital soil mapping", "Soil organic carbon", "Carbone organique du sol", "Bare soil", "Sentinel time series", "Sol nu", "Croplands", "Terres agricoles", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Cartographie num\u00e9rique des sols"], "contacts": [{"organization": "Urbina Salazar, Diego Fernando", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/9b81642374175d90e0b717deca64ff67"}, {"rel": "self", "type": "application/geo+json", "title": "9b81642374175d90e0b717deca64ff67", "name": "item", "description": "9b81642374175d90e0b717deca64ff67", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9b81642374175d90e0b717deca64ff67"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2022.107907", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:02Z", "type": "Journal Article", "created": "2022-02-12", "title": "Land conversion from annual to perennial crops: A win-win strategy for biomass yield and soil organic carbon and total nitrogen sequestration", "description": "<p>How much can we increase biomass yield by promoting land conversion from annual to perennial crops? Will increased biomass extraction for biorefineries reduce soil organic carbon (SOC) and total nitrogen (TN) stock? Which cropping system is more stable for biomass production over time? To our knowledge, no study has concurrently investigated the effects of land conversion from annual to perennial crops on biomass yield, yield stability, and changes in SOC and TN stock, which limits the understanding and application of sustainable agroecosystems producing biomass for biorefineries. Based on five-year continuous observations in central Jutland Denmark, our results showed that perennial crops significantly increased biomass yield by 19% and yield stability by 88% compared to annual crops. Perennial crops significantly increased SOC content by 4% and SOC stock by 11% at 0\u2013100 cm depth across the five years. The opposite responses of SOC content and stock under annual and perennial crops led to even more significant differences between the crop types. Perennial crops had no effect on soil TN content and increased soil TN stock to one meter depth by 22%, whereas continuous annual crops had no effect on it. Neither annual nor perennial crops had effects on SOC and TN stock when estimated based on equivalent soil mass because the soil density increased under perennial crops. Our results showed that changes in SOC and TN stock between annual and perennial crops varied with the specific calculating methods (fixed depth/equivalent mass), thus the selected methods should be clearly defined in the future research. Increases in SOC content at one meter depth were positively correlated with biomass yield and yield stability, suggesting a win-win strategy for climate mitigation and food security. Altogether, our results highlight the potential to redesign the current cropping system for sustainable intensification by selecting proper perennial crops for green biorefineries.</p>", "keywords": ["2. Zero hunger", "Yield stability", "Sustainable agroecosystem", "13. Climate action", "Annual crop", "Biomass yield", "0401 agriculture", " forestry", " and fisheries", "Perennial crop", "04 agricultural and veterinary sciences", "15. Life on land", "Soil organic carbon and total nitrogen stock"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2022.107907"}, {"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.2022.107907", "name": "item", "description": "10.1016/j.agee.2022.107907", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2022.107907"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-01T00:00:00Z"}}, {"id": "oai:helvia.uco.es:10396/21088", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:35:05Z", "type": "Report", "title": "Organic carbon in agricultural and agroforestry soils: Effect of different management practices", "description": "Open AccessSoil is a global resource that has the capacity to contain large amounts of organic carbon. In fact, soils contain more carbon than plants and the atmosphere combined. However, in recent decades human activities such as land-use change, deforestation, biomass burning, and environmental pollution have accelerated the release of terrestrial carbon into the atmosphere, increasing the greenhouse effect. The study of soil organic carbon cycle was recognized in the last decades as a necessary step for controlling future increases in atmospheric CO2, as well as necessary to simultaneously ensure the sustainability agricultural activities. A better comprehension of the he dynamics of soil organic carbon (SOC) in different agricultural systems will allow an improvement of soil quality and soil organic carbon storage under different climate and soil conditions. However, despite of decade\u2019s long research on this subject, there is still the need for a better appraisal of soil carbon dynamics in specific agricultural systems based on robust in field empirical studies. So, relevant contributions to a better understanding of the impact of land use on the global carbon cycle is of great importance. The present research, framed in the context of a PhD specialization on soil carbon in agricultural areas, is aimed to generate new information on the effect of different factors (climate, land use, management, altitude, and soil type) that influence the sequestration and accumulation of organic carbon along the profile in the soil in different agricultural and forest systems across contrasting edaphoclimatic conditions. This research includes not only new quantitative information on soil organic carbon, but also innovative studies on its distribution among different soil carbon compartments and on the use of near infrared spectroscopy (NIR) on soil organic carbon determination. The first study (Chapter 2) is an analysis of the effect of different agricultural uses in a subtropical climate, in the area of the Carrizal River valley in the province of Manab\u00ed Ecuador, based on the analysis of 64 soil profiles. In each profile simples were taken in the soil profile horizons to obtain the concentration of organic carbon up to a maximum depth of 150 cm in different agricultural management (permanent, intensive rotation and abandoned crops), In this study twenty-one different agricultural uses were identified. As expected, the highest concentrations of soil organic carbon happened in the A horizon, which has an average thickness of 40 cm. A trend towards a higher carbon sequestration potential was observed in the grass, intercropping like cocoa with banana and corn area management with an average value of 1.7% C, much higher than the area under mechanized agriculture, which presented lower carbon concentration, with an average value of 0.26% C. Regarding the total soil organic carbon stock, the first horizon accumulated more carbon compared to the other (B and C) soil profiles, with an average value of 41.32\u00b120.97 t C ha\u22121 and 15.06\u00b115.61 t C ha\u22121, respectively. The second study (Chapter 3) evaluated the effect of forest management in a temperate climate. For this study, soil samples were taken in a managed environment of forest species (Alnus incana, Fagus sylvatica, Picea abies and Mixed: stands containing beech and spruce) in an elevation range from <900 m a.s.l. to >1100 m a.s.l. from the Babia G\u00f3ra National Park in southern Poland. Sampling points were taken up to a maximum depth of 100 cm. The results in this study revealed that the SOC reserves in the mountain soils of the Babi G\u00f3ra National Park are characterized by their great variability (from 50.10 t ha\u22121 to 905.20 t ha\u22121). In the conditions of this study, the type of soil is the dominant factor determining soil organic carbon stock, which coupled with topographic factors influence soil and vegetation conditions. This explains such diversity in the accumulation of soil organic carbon in different mountain soils in the areas. The largest carbon stock was recorded in histosols (>550 t C ha\u22121), which are located in the lower part of the national park. The third block of the research focused on two field studies in one of the most important agroforestry systems across the Mediterranean, dehesa. The first study (Chapter 4) is located in a dehesa in Hinojosa del Duque in C\u00f3rdoba, Spain: Dehesa is an agro-silvo-pastoral system which combines open land and low density trees (holm oaks). In this first study we investigated two adjacent dehesas on the same soil type but different characteristics. One was a pastureland with young holm oaks (planted in 1995 with a density of 70 trees ha\u22121 at 12 m x 12 m spacing. The area had been grazed by Merino sheep since 2000, at a grazing rate of 3 sheep per hectare. The second, adjacent area is a cultivated pasture with mature oaks with a minimum age of 90-100 years widely spaced (1.2 trees ha\u22121). Every three years, a mixture of peas and oats is grown for hay. Tillage is used for the preparation of this seeding except in the immediate vicinity (about 0.3-0.4 m) of the tree trunk. The first dehesa at higher tree density was part of this second dehesa, and so both had the same characteristics until year 1995. Both dehesas were sampled simultaneously in 2017. Sampling points were taken under and outside the canopy projection up to a maximum depth of 100 cm divided into 8 sections (0-2 cm, 2-5 cm, 5-10 cm, 10-20 cm, 20-40 cm, 40-60 cm, 60-80 cm, and 80- 100 cm). The results showed that a change in dehesa type from an old low density dehesa combining pasture with seeding every 3 years to a one only pastured with increased tree growth (70 trees ha), showed no significant differences in carbon concentration after 22 years\u2019 sicen implanting the more dense dehesa. A clear stratification of carbon was observed in the soil profile, particularly in the top 10 cm of the soil, as well as an effect of the adult tree which resulted in a higher concentration under the tree canopy in the middle soil depth section (20-40 cm) in the mature dehesa. Significant difference in carbon stock was only observed in the top 0-2 cm (5.86\u00b10.56 t ha1 vs 3.24\u00b10.37 t ha1, been higher in the newly planted dehesa. To our knowledge this is the first study evaluating in dehesa the distribution of soil organic carbon into this four (unprotected and physically, chemically and biochemically protected) fractions. Our results showed how most of the carbon in the two dehesas was stored in the unprotected fraction, been its relative contribution higher in the top 0-2 cm o the pastured dehesa and in the below canopy area of the mature trees in the cropped dehesa. This indicates that much of the fraction contained in these soils is particularly vulnerable to hypothetical changes to less sustainable managements. The second study in dehesa (Chapter 5) was located in the municipality of Pozoblanco in the north of the province of Cordoba. In this area three areas of continuous extensive grazing for more than 50 years with cattle, sheep, and pigs were identified, and three areas with different intensity were studied. These areas were: I) Intensive grazing management. II) moderate grazing management and III) no grazing (area excluded for more than 20 years). Sampling points were taken at each of the three areas up to a maximum depth of 30 cm divided into 5 sections (0-2 cm, 2-5 cm, 5-10 cm, 10-20 cm, and 20-30 cm). Concentrations at different grazing intensities showed, as expected, higher carbon concentrations at the surface soil layer (0-2 cm) average of 1.59\u00b10.44%, decreasing to 0.48\u00b10.15% in the deeper section of the soil profile at 20-30 cm. Contradicting our initial hypothesis, no differences in soil organic carbon concentration were detected among the three areas with different grazing intensities, The total carbon stock was analyzed in the whole soil profile (0-30 cm), indicating non significant differences among the two grazed areas, average value of 27 t ha\u22121, or the area without grazing 26 t ha\u22121. As in the previous dehesa, the dominant fraction was the unprotected carbon. However, in this case the relative differences in the soil organic carbon concentration between the unprotected fraction and the physically and the chemically protected fractions was larger than in the first dehesa, particularly because the protected fractions tended to show a higher concentration than in the dehesa studied in Chapter 4. Using the empirical results from the study of the second dehesa, we developed a spectral library and predictive equations of concentration of soil organic carbon using Vis-NIR (Chapter 6) from this dataset. The accuracy of the SOC predictive models was very good, with R2 higher than 0.95 and residual predictive deviation (RPD) higher than 4.54, respectively. Refinement of VIS-NIR techniques, such as the one discussed in Chapter 6, could increase our ability to provide more affordable and robust technologies to measure large numbers of samples with the required accuracy, although it is less clear how to address other important sources of variability, such as soil depth, soil type, bulk density, and rock content. To reduce this uncertainty will be of great relevance to continue performing detailed experiments to better quantify on the effect of land use and cropping systems on soil organic carbon content, such as those described in chapters 3, 5 and 5. To date, these experiments are irreplaceable to test specific hypothesis relevant at local level (like the time to increase soil organic carbon stock after planting at higher density, Chapter 4), but also to create a corpus of available data which could improve, or lead to new ones, conceptual or numerical simulation models that can systematize our understanding of the soil organic carbon cycle and eventually reduce the need for large-scale sampling to verify the evolution of soil organic carbon in agricultural systems.", "keywords": ["2. Zero hunger", "13. Climate action", "Soil organic carbon", "11. Sustainability", "Agricultural systems", "15. Life on land", "Agroforestry", "Land-use", "Organic carbon", "Forest systems", "12. Responsible consumption"], "contacts": [{"organization": "Reyna-Bowen, Lizardo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:helvia.uco.es:10396/21088"}, {"rel": "self", "type": "application/geo+json", "title": "oai:helvia.uco.es:10396/21088", "name": "item", "description": "oai:helvia.uco.es:10396/21088", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:helvia.uco.es:10396/21088"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "PMC10346452", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:29:41Z", "type": "Journal Article", "created": "2023-06-29", "title": "Organic Carbon, Nitrogen Accumulation and Nitrogen Leaching as Affected by Legume Crop Residues on Sandy Loam in the Eastern Baltic Region", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Legumes have a wide range of positive effects on soil properties, including nitrogen and carbon storage, soil structure and the phytosanitary condition of crops. From an agronomic point of view, legumes are most valued for their ability to take up atmospheric nitrogen in symbiosis with nitrogen-fixing bacteria. The aim of this research was to determine the effect of legume residues (peas, fodder beans, narrow-leaved lupins) on the N (Ntotal) and organic carbon (Corg) accumulation in soil and N leaching under temperate climate conditions. The experiment was carried out in lysimetric equipment in 2016\u20132023. The effect of legumes on Corg and Ntotal accumulation in soil and N leaching were studied in a Fabaceae\u2013Cereals sequence. Three species of legumes\u2014peas, fodder beans and narrow-leaved lupines\u2014were tested; spring barley (Hordeum vulgare L.) was grown as a control treatment. The lysimeter surface area was 1.75 m2 and the experimental soil layer was 0.60 m (sand loam Haplic Luvisol). It was found that after harvesting, more residues were incorporated into the soil with lupines (p &lt; 0.05), which, compared to pea and bean residues, increased Ntotal and Corg concentrations in the soil. There was a strong correlation (r = 0.95) between the Ntotal concentration in the soil and the N amount incorporated with residues. Mineral N released during residue decomposition was leached from the humic horizon under conditions of excess moisture in the autumn\u2013winter period and increased the nitrate concentration in the lysimeter water. The increase in concentration was recorded within 5 to 6 months after the application of the residues. As a result, the N leaching losses increased on average by 24.7\u201333.2% (p &lt; 0.05) during the year of legume cultivation. In the following year, after legume residue incorporation, the effect of residues on nitrate concentration and N leaching decreased and did not differ significantly from that of barley residues.</p></article>", "keywords": ["2. Zero hunger", "leaching", "below-ground biomass", "organic carbon", "QK1-989", "Botany", "nitrogen; organic carbon; leaching; above-ground biomass; below-ground biomass", "15. Life on land", "nitrogen", "Article", "above-ground biomass"], "contacts": [{"organization": "Tripolskaja, Liudmila, Kazlauskaite-Jadzevice, Asta, Razukas, Almantas,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2223-7747/12/13/2478/pdf"}, {"href": "https://www.mdpi.com/2223-7747/12/13/2478/pdf"}, {"href": "https://doi.org/PMC10346452"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plants", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC10346452", "name": "item", "description": "PMC10346452", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC10346452"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-28T00:00:00Z"}}, {"id": "076db4e8-11a9-4262-b6aa-cfa703a3c0af", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -56.0], [-180.0, 84.0], [180.0, 84.0], [180.0, -56.0], [-180.0, -56.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:35", "type": "Dataset", "language": "eng", "title": "SoilGrids250m 2017-03 - Soil organic carbon content (fine earth fraction)", "description": "Soil organic carbon content (fine earth fraction) in g per kg at 7 standard depths predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: g / kg.", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["organic carbon", "digital soil mapping", "Soil science", "Global"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["Principal investigator"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl1_250m_ll.tif", "name": "Download GeoTIFF at depth 0 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl2_250m_ll.tif", "name": "Download GeoTIFF at depth 5 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl3_250m_ll.tif", "name": "Download GeoTIFF at depth 15 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl4_250m_ll.tif", "name": "Download GeoTIFF at depth 30 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl5_250m_ll.tif", "name": "Download GeoTIFF at depth 60 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl6_250m_ll.tif", "name": "Download GeoTIFF at depth 100 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/ORCDRC_M_sl7_250m_ll.tif", "name": "Download GeoTIFF at depth 200 cm", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.1371/journal.pone.0169748", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/soilgrids/faq-soilgrids-2017", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sg250m/48.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "076db4e8-11a9-4262-b6aa-cfa703a3c0af", "name": "item", "description": "076db4e8-11a9-4262-b6aa-cfa703a3c0af", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/076db4e8-11a9-4262-b6aa-cfa703a3c0af"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "2015-12-01T00:00:00Z"]}}, {"id": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-02-05T10:34:26", "type": "Dataset", "language": "eng", "title": "A homogenized soil data file for global environmental research: A subset of FAO, ISRIC and NRCS profiles", "description": "A homogenized, global set of 1,125 soil profiles is presented. These profiles have been extracted from the database developed at ISRIC for a project on \"World Inventory of Soil Emission Potentials\" (WISE), as a contribution to the activities of the Global Soils Data Task Group of IGBP-DIS. The subset consists of a selection of 665 profiles originating from digital data files released by the Natural Resources Conservation Service (NRCS, Lincoln), 250 profiles obtained from the Food and Agriculture Organization (FAO, Rome), and 210 profiles from the reference collection of the International Soil Reference and Information Centre (ISRIC, Wageningen). All profiles are georeferenced and classified in the FAO-Unesco Legend whereby they can be linked to the edited and digital version of the FAO-Unesco Soil Map of the World. This data set is being released in the public domain for use by global modellers and other interested scientists. It is envisaged that the data set will be expanded by ISRIC when new, uniform soil profile data become available.\n\nNote: \na) A more recent version (some 10,000 profiles) of WISE profiles is available at: http://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/a351682c-330a-4995-a5a1-57ad160e621c (2009)\nb) For a larger compilation see the WoSIS database: http://isric.org/explore/wosis (2017)", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic carbon", "bulk density", "soil classification", "soil depth", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "soil profiles", "nutrients", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": "Geoinformatic", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": ["P.O. Box 47"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6708 PB", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ISRIC - World Soil Information (WDC - Soils)", "roles": ["contributor"]}], "distancevalue": "30", "distanceuom": "arc-second"}, "links": [{"href": "https://files.isric.org/public/wise/ISRIC_report_1995_10b.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://www.isric.org/documents/document-type/isric-report-199510b-homogenized-soil-data-file-global-environmental", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wise/ISRIC-WISE_Internat_Soil_Prof_Data_Set_c.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "name": "item", "description": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f85c381-e496-47d9-89d8-f1fe2ee1a517"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "1995-07-01T00:00:00Z"]}}, {"id": "10.1002/9781118635797.ch8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:32Z", "title": "Biofuel Crops And Soil Quality And Erosion", "description": "Biofuel or energy crop production aims at maximizing the carbon (C) harvest for conversion into fuel. Since soils are involved in the processing chain the question, however, is if this conversion can be done without compromising soil quality. In this chapter we discuss the soil quality aspect of biofuel production. The production of biofuel crops might simultaneously affect a combination of soil properties and stipulating severe human-driven soil quality threats, out of which the decline of soil organic matter (SOM), the increase of erosion risks, and on and off-site pollution and nutrient losses are the most pronounced. We consider the differences between annual and perennial crops out of the effects of management and land-use change (LUC), including an issue of soil organic carbon (SOC) budget and sustainable removal of crop residues for energy production. Consequently, we discuss soil quality under biofuel crop production as affected by these threats to provide essential soil services. The challenges of the soil quality aspect of sustainable biofuel crop production, which include by-product management, soil remediation potential, and utilization of idle and degraded soils for biofuels, are also covered by this chapter", "keywords": ["soil erosion", "soil organic carbon (SOC)", "biofuel crops", "biofuel production", "soil quality", "land-use change (LUC)", "sustainability"]}, "links": [{"href": "https://doi.org/10.1002/9781118635797.ch8"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/9781118635797.ch8", "name": "item", "description": "10.1002/9781118635797.ch8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/9781118635797.ch8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1002/ldr.917", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:42Z", "type": "Journal Article", "created": "2009-03-31", "title": "Effects Of Soil-Protecting Agricultural Practices On Soil Organic Carbon And Productivity In Fruit Tree Orchards", "description": "Abstract<p>This 4\uffe2\uff80\uff90year on\uffe2\uff80\uff90farm study reports the effects of different agricultural practices on yield and soil organic carbon (SOC) in kiwifruit and apricot orchards grown in a Mediterranean area. Groups of plants under local orchard management (LOM,\uffc2\uffa7<p>Correction made here after initial publication.</p> ) practices (i.e. soil tillage, removing of pruning residues and mineral fertilisers) were compared with plots under soil\uffe2\uff80\uff90protecting orchard management (SPOM) actions (i.e. cover crop, no\uffe2\uff80\uff90tillage, compost application and mulching of pruning residues). In the SPOM blocks fertilisation rate was based on plant demand and irrigation volumes calculated on the evapotranspiration values, while they were empirically calculated in the LOM plots. Results show that yield was 28\uffe2\uff80\uff9350 per cent enhanced by SPOM practices while SOC remained close to the initial values. In comparison with LOM plots, changed practices increased up to 28\uffe2\uff80\uff9390 per cent the amount of P and K, and 13 per cent that of N annually incorporated into soil increasing their reservoir in the soil. The study demonstrates that appropriate land management can increase the mean annual carbon soil inputs from about 1\uffc2\uffb75 to 9\uffc2\uffb70\uffe2\uff80\uff89t\uffe2\uff80\uff89ha\uffe2\uff88\uff921 per year. Copyright \uffc2\uffa9 2009 John Wiley &amp; Sons, Ltd.</p>", "keywords": ["2. Zero hunger", "soil organic carbon", "Crop residues; land use; organic matter; soil carbon input; SOC; Mediterranean soil; soil organic carbon", "Crop residue", "land use", "0401 agriculture", " forestry", " and fisheries", "soil carbon input", "SOC", "04 agricultural and veterinary sciences", "15. Life on land", "Mediterranean soil", "organic matter"]}, "links": [{"href": "https://doi.org/10.1002/ldr.917"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Degradation%20%26amp%3B%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ldr.917", "name": "item", "description": "10.1002/ldr.917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ldr.917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-03-31T00:00:00Z"}}, {"id": "10.1002/ppp.2162", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:43Z", "type": "Journal Article", "created": "2022-07-25", "title": "Thermokarst processes increase the supply of stabilizing surfaces and elements (Fe, Mn, Al, and Ca) for mineral\u2013organic carbon interactions", "description": "Abstract<p>The stabilizing properties of mineral\uffe2\uff80\uff93organic carbon (OC) interactions have been studied in many soil environments (temperate soils, podzol lateritic soils, and paddy soils). Recently, interest in their role in permafrost regions is increasing as permafrost was identified as a hotspot of change. In thawing ice\uffe2\uff80\uff90rich permafrost regions, such as the Yedoma domain, 327\uffe2\uff80\uff93466 Gt of frozen OC is buried in deep sediments. Interactions between minerals and OC are important because OC is located very near the mineral matrix. Mineral surfaces and elements could mitigate recent and future greenhouse gas emissions through physical and/or physicochemical protection of OC. The dynamic changes in redox and pH conditions associated with thermokarst lake formation and drainage trigger metal\uffe2\uff80\uff90oxide dissolution and precipitation, likely influencing OC stabilization and microbial mineralization. However, the influence of thermokarst processes on mineral\uffe2\uff80\uff93OC interactions remains poorly constrained. In this study, we aim to characterize Fe, Mn, Al, and Ca minerals and their potential protective role for OC. Total and selective extractions were used to assess the crystalline and amorphous oxides or complexed metal pools as well as the organic acids found within these pools. We analyzed four sediment cores from an ice\uffe2\uff80\uff90rich permafrost area in Central Yakutia, which were drilled (i) in undisturbed Yedoma uplands, (ii) beneath a recent lake formed within Yedoma deposits, (iii) in a drained thermokarst lake basin, and (iv) beneath a mature thermokarst lake from the early Holocene period. We find a decrease in the amount of reactive Fe, Mn, Al, and Ca in the deposits on lake formation (promoting reduction reactions), and this was largely balanced by an increase in the amount of reactive metals in the deposits on lake drainage (promoting oxidation reactions). We demonstrate an increase in the metal to C molar ratio on thermokarst process, which may indicate an increase in metal\uffe2\uff80\uff93C bindings and could provide a higher protective role against microbial mineralization of organic matter. Finally, we find that an increase in mineral\uffe2\uff80\uff93OC interactions corresponded to a decrease in CO2 and CH4 gas emissions on thermokarst process. Mineral\uffe2\uff80\uff93OC interactions could mitigate greenhouse gas production from permafrost thaw as soon as lake drainage occurs.</p", "keywords": ["Yedoma", "ddc:550", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "redox processes", "Arctic", "organic carbon stabilization", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Institut f\u00fcr Geowissenschaften", "thaw", "permafrost", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppp.2162"}, {"href": "https://doi.org/10.1002/ppp.2162"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Permafrost%20and%20Periglacial%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ppp.2162", "name": "item", "description": "10.1002/ppp.2162", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ppp.2162"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-24T00:00:00Z"}}, {"id": "10.1002/ppp.2230", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:43Z", "type": "Journal Article", "created": "2024-06-18", "title": "A Third of Organic Carbon Is Mineral Bound in Permafrost Sediments Exposed by the World's Largest Thaw Slump, Batagay, Siberia", "description": "ABSTRACT<p>Organic carbon (OC) in permafrost interacts with the mineral fraction of soil and sediments, representing &lt;\uffe2\uff80\uff891% to ~80% of the total OC pool. Quantifying the nature and controls of mineral\uffe2\uff80\uff93OC interactions is therefore crucial for realistic assessments of permafrost\uffe2\uff80\uff90carbon\uffe2\uff80\uff90climate feedbacks, especially in ice\uffe2\uff80\uff90rich regions facing rapid thaw and the development of thermo\uffe2\uff80\uff90erosion landforms. Here, we analyzed sediment samples from the Batagay megaslump in East Siberia, and we present total element concentrations, mineralogy, and mineral\uffe2\uff80\uff93OC interactions in its different stratigraphic units. Our findings indicate that up to 34\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff898% of the OC pool interacts with mineral surfaces or elements. Interglacial deposits exhibit enhanced OC\uffe2\uff80\uff93mineral interactions, where OC has undergone greater microbial transformation and has likely low degradability. We provide a first\uffe2\uff80\uff90order estimate of ~12,000 tons of OC mobilized annually downslope of the headwall (i.e., the approximate mass of 30 large aircrafts), with a maximum of 38% interacting with OC via complexation with metals or associations to poorly crystalline iron oxides. These data imply that over one\uffe2\uff80\uff90third of the OC exposed by the slump is not readily available for mineralization, potentially leading to prolonged OC residence time in soil and sediments under stable physicochemical conditions.</p", "keywords": ["0301 basic medicine", "mineral-organic carbon interactions", "03 medical and health sciences", "iron", "retrogressive thaw slumps", "13. Climate action", "thermo-erosion", "Batagay", "15. Life on land", "headwall", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/ppp.2230"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Permafrost%20and%20Periglacial%20Processes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ppp.2230", "name": "item", "description": "10.1002/ppp.2230", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ppp.2230"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-17T00:00:00Z"}}, {"id": "10.1016/j.agee.2013.01.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:58Z", "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.geoderma.2023.116443", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:00Z", "type": "Journal Article", "created": "2023-04-06", "title": "Evidence for preservation of organic carbon interacting with iron in material displaced from retrogressive thaw slumps: Case study in Peel Plateau, western Canadian Arctic", "description": "Open AccessISSN:0016-7061", "keywords": ["Mineral-organic carbon interactions; Retrogressive thaw slumps; Mass wasting; Peel Plateau; Iron", "Retrogressive thaw slumps", "13. Climate action", "Mass wasting", "Iron", "Peel Plateau", "Mineral-organic carbon interactions", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2023.116443"}, {"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.2023.116443", "name": "item", "description": "10.1016/j.geoderma.2023.116443", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2023.116443"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-01T00:00:00Z"}}, {"id": "10.1016/j.still.2005.10.006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:44Z", "type": "Journal Article", "created": "2006-05-09", "title": "Tillage And Crop Rotation Effects On Barley Yield And Soil Nutrients On A Calciortidic Haploxeralf", "description": "Reduced tillage with appropriate crop rotation could increase the viability of dry land agriculture in semiarid zones. The effects of tillage and crop rotation on soil physico-chemical properties, soil organic carbon (SOC) and N have been studied widely in long and short-term experiments. However, their effects on nutrient levels and fertility losses have not been extensively studied in Mediterranean soils. We determined SOC, N, P, K, Fe, Mn, Cu and Zn distribution in the soil profile and in plant uptake, on a Calciortidic Haploxeralf in Spain. Three tillage systems [CT, conventional tillage (mouldboard plow); MT, minimum tillage and NT, no tillage] and three crop rotations [BB, continuous barley (Hordeum vulgare v. Tipper), FB, fallow-barley and VB, vetch (Vicia sativa v. Muza)-barley] were compared. SOC and N were higher for CT than for MT and NT in the first year, but higher for NT and MT than CT in the next years. In the 0-15 cm depth, SOC and N in NT also became higher than in MT for the fourth crop season. In the 15-30 depths, NT and MT had also higher SOC than CT since the second year. However, NT had only higher N than MT after three crop seasons. The increase in SOC was 75% for NT and MT while CT had a decrease of 17% in the 0-15 cm layer. The increase in N was 154% for NT, 108% for MT and 30% for CT in the upper 15 cm. NT had higher P, K and Cu than MT and higher P, K, Fe, Mn, Cu and Zn than CT in the upper layers due to the higher SOC level and to the fact that these systems maintain surface-applied K and P fertilizer. On the other hand, neither SOC nor N were affected by crop rotation. Tillage and rotation interactions were not significant for SOC, N and, in general, nutrient levels in the different soil depths. In general, the main factor that affected SOC, N and nutrients was tillage, which had reduced influence with depth. Highest yield was for CT-FB and CT-VB, but not different from NT-FB and NT-VB, meanwhile highest nutrient levels were obtained for interactions that included NT. These results suggest that NT, and to a lesser extend MT, preserved SOC and nutrient levels in the upper layers and, with NT-VB and NT-FB interaction, could also obtain high yields and keep soil fertility in the upper depths during the first 4 years. \u00a9 2006 Elsevier B.V. All rights reserved.", "keywords": ["2. Zero hunger", "Crop rotation", "Soil organic carbon", "Nitrogen", "Potassium", "0401 agriculture", " forestry", " and fisheries", "Phosphorus", "Micronutrients", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2005.10.006"}, {"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.2005.10.006", "name": "item", "description": "10.1016/j.still.2005.10.006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2005.10.006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.1007/s00374-014-0952-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:02Z", "type": "Journal Article", "created": "2014-08-29", "title": "Nitrous Oxide And Methane Emissions From A Vetch Cropping Season Are Changed By Long-Term Tillage Practices In A Mediterranean Agroecosystem", "description": "Lower greenhouse gas (GHG) emissions from legume-based cropping systems have encouraged their use to deliver mitigation in agricultural systems. Considerable uncertainties remain about the interaction of legumes with long-term tillage systems on GHG emissions under rainfed agroecosystems. In this context, a field experiment was undertaken under a rainfed vetch crop to evaluate the effect of three long-term tillage systems (i.e. no tillage (NT), minimum tillage (MT) and conventional tillage (CT)) on nitrous oxide (N2O) and methane (CH4) emissions for 1 year. Different N2O flux patterns were observed among tillage systems during the growth period of vetch, which depended on the soil conditions favouring nitrification and denitrification. The NT system maintained a higher sink for N2O than MT and CT from January to mid-April, which significantly reduced N2O emissions at this stage. In this period, denitrification capacity and nirK gene numbers were higher for MT than NT and CT. Additionally, an increase in soil NO\u2212 3 content and more favourable denitrification conditions in MT and NT than in CT for the last crop period increased N2O emissions in conservation tillage systems. Total annual N2O losses were significantly higher in MT (124.2 g N2O\u2013N ha\u22121) than NT (51.1 g N2O\u2013N ha\u22121) and CT (54 g N2O\u2013N ha\u22121) in a vetch crop. Low net uptake of CH4 was observed for all tillage systems. These results suggested that long-term NT may be a better option thanMT to mitigate GHG emissions in rainfed legume-cereal rotation. \u00a9 Springer-Verlag Berlin Heidelberg 2014.", "keywords": ["2. Zero hunger", "Nitrous oxide", "Soil organic carbon", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "NirK", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term tillage", "Methane", "Vetch crop"]}, "links": [{"href": "https://doi.org/10.1007/s00374-014-0952-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology%20and%20Fertility%20of%20Soils", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00374-014-0952-5", "name": "item", "description": "10.1007/s00374-014-0952-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00374-014-0952-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-08-30T00:00:00Z"}}, {"id": "10.1016/j.agee.2016.07.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:01Z", "type": "Journal Article", "created": "2016-08-10", "title": "Alternative Arable Cropping Systems: A Key To Increase Soil Organic Carbon Storage? Results From A 16 Year Field Experiment", "description": "Alternative cropping systems such as conservation agriculture and organic farming are expected to decrease negative impacts of conventional systems through sequestration of organic carbon in soil and mitigation of greenhouse gas emissions. We studied soil organic carbon (SOC) dynamics in the long-term (16 years) field experiment \u201cLa Cage\u201d (France) which compares four arable cropping systems, free from manure application, under conventional (CON), low input (LI), conservation agriculture (CA) and organic (ORG) management. Bulk densities and SOC concentrations were measured at different dates between 1998 and 2014. SOC stocks were calculated at equivalent soil mass taking into account bulk density variations and SOC redistribution across the different soil layers. We analyzed the evolution of SOC stocks and compared it with outputs of the simulation model AMG. The rate of change in SOC stocks in the old ploughed layer (ca. 0\u201330 cm) during the 16 years was 0.08, 0.02, 0.63 and 0.28 t ha\u22121 yr\u22121 in the CON, LI, CA and ORG systems respectively and significantly differed from 0 in the CA and ORG treatments. The AMG model satisfactorily reproduced the observed evolution of SOC stocks in the old ploughed layer in all treatments. A Bayesian optimization procedure was used to assess the mean and the distribution of the most uncertain parameters: the SOC mineralization rate and the C inputs derived from belowground biomass of cover crops which were fescue (Festuca rubra) and alfalfa (Medicago sativa). The model thus parameterized was able to predict SOC evolution in each block and soil layer (0\u201310, 10\u201320 and 20\u201330 cm). There was no significant difference in SOC mineralization rates between all cropping systems including CA under no-till. In particular, the increased SOC storage in CA was explained by higher carbon inputs compared to the other cropping systems (+1.72 t C ha\u22121 yr\u22121 on average). The CA and ORG systems were less productive than the CON and LI systems but the smaller C inputs derived from cash crop residues were compensated by the extra inputs from additional crops (fescue and alfalfa) specifically grown in CA and ORG, resulting in a positive carbon storage in soil. We conclude that alternative arable systems have potential to sequester organic carbon in temperate climate conditions, through higher carbon input rather than by the effect of reduced soil tillage.", "keywords": ["2. Zero hunger", "550", "Organic farming", "Soil organic carbon", "Conservation agriculture", "[SDV]Life Sciences [q-bio]", "No-till", "04 agricultural and veterinary sciences", "15. Life on land", "AMG model", "630", "[SDV] Life Sciences [q-bio]", "13. Climate action", "Cover crop", "0401 agriculture", " forestry", " and fisheries", "Soil carbon sequestration"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2016.07.008"}, {"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.2016.07.008", "name": "item", "description": "10.1016/j.agee.2016.07.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2016.07.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2016.10.024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:16:01Z", "type": "Journal Article", "created": "2016-11-04", "title": "Soil carbon sequestration rates under Mediterranean woody crops using recommended management practices: A meta-analysis", "description": "Abstract   Mediterranean woody crops, such as olive and almond farming, and vineyards are usually cultivated in soils low in organic matter, with limited water availability and frequently on medium to steep slopes. Therefore, when conventionally cultivated, soils of these cropping systems are net sources of CO2 (throughout soil erosion and organic carbon mineralization). A promising option to sequester carbon (C) in these cropping systems is the implementation of recommended management practices (RMPs), which include plant cover in the inter-row area, minimum or no tillage and off- and on-farm organic matter amendments. However, the effects of RMPs on soil organic carbon (SOC) stocks in these cropping systems are widely overlooked, despite the critical importance of estimating their contribution on CO2 emissions for policy decisions in the agriculture sector in Mediterranean regions. We therefore conducted a meta-analysis to derive a C response ratio, soil C sequestration rate and soil C sequestration efficiency under RMPs, compared to conventional management of olive and almond orchards, and vineyards (144 data sets from 51 references). RMPs included organic amendments (OA), plant cover (CC) and a combination of the two (CMP). The highest soil C sequestration rate (5.3\u00a0t\u00a0C\u00a0ha\u22121 yr\u22121) was observed following the application OA in olive orchards (especially after olive mill pomace application), whereas CC management achieved the lowest C sequestration rates (1.1, 0.78 and 2.0\u00a0t\u00a0C\u00a0ha\u22121 yr\u22121, for olive orchards, vineyards and almond orchards, respectively). Efficiency of soil C sequestration was greater than 100% after OA and CMP managements, indicating that: i) some of the organic C inputs were unaccounted for, and ii) a positive feedback effect of the application of these amendments on SOC retention (e.g. reduction of soil erosion) and on protective mechanisms of the SOC which reduce CO2 emissions. Soil C sequestration rate tended to be highest during the first years after the change of the management and progressively decreased. Studies performed in Mediterranean sub-climates of low annual precipitation had lower values of soil C sequestration rate, likely due to a lower biomass production of the crop and other plant cover. Soil C sequestration rates in olive farming were much higher than that of vineyards, mainly due to the application of higher annual doses of organic amendments. The relatively high sequestration rate combined with the relative large spatial extent of these cropping system areas suggests that the adoption of RMPs is a sustainable and efficient measure to mitigate climate change.", "keywords": ["2. Zero hunger", "330", "QH301 Biology", "04 agricultural and veterinary sciences", "15. Life on land", "recommended management practices", "carbon sequestration", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "soil organic carbon", "QH301", "13. Climate action", "SDG 13 - Climate Action", "0401 agriculture", " forestry", " and fisheries", "Mediterranean woody crops", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2016.10.024"}, {"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.2016.10.024", "name": "item", "description": "10.1016/j.agee.2016.10.024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2016.10.024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2022.116217", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:00Z", "type": "Journal Article", "created": "2022-10-23", "title": "Iron speciation changes and mobilization of colloids during redox cycling in Fe-rich, Icelandic peat soils", "description": "Open AccessISSN:0016-7061", "keywords": ["13. Climate action", "Wetlands", "Iceland", "0401 agriculture", " forestry", " and fisheries", "Colloids", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Iron biogeochemistry", "Organic carbon", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.116217"}, {"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.2022.116217", "name": "item", "description": "10.1016/j.geoderma.2022.116217", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.116217"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.5061/dryad.0k6djhb5k", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-23T16:22:10Z", "type": "Dataset", "created": "2023-08-29", "title": "Empirical data and model simulations of the effect of repeated hurricanes on soil carbon dynamics in a humid tropical forest", "description": "unspecified<em>Site description</em> Soils  were sampled from the Bisley Experimental Watershed of the LEF, Puerto  Rico (18.3157 deg. N, 65.7487 deg W), a Long-Term Ecological Research and  Critical Zone Observatory and Network site (https://luq.lter.network). The  mean maximum daily temperature at Bisley was 27 \u00baC between 1993 and 2010  (Gonzales, 2020), with little seasonality. The mean annual precipitation  at Bisley was 3883 (\u00b1 864 s.d.) mm y<sup>-1</sup> from 1988  through 2014 (Gonz\u00e1lez, 2017; Murphy et al., 2017). Rainfall occurs all  year, though January through April experience slightly less precipitation  than other months (Heartsill-Scalley et al., 2007). The site is a humid  tropical forest with a diverse tree community of approximately 170 species  &gt; 4 cm diameter at breast height (Weaver &amp; Murphy, 1990),  and dominated by tabonuco (<em>Dacryodes excelsa</em>  Vahl<em>)</em>. Elevation of Bisley spans from 261 m a.s.l. at  the base to 450 m a.s.l. on the ridges (Scatena, 1989).  Soils in Bisley are derived from volcaniclastic sediments of  andesitic parent material (Scatena, 1989).\u00a0 Ridge soils are classified as  Ultisols (Typic Haplohumults), while slope soils are classified as Oxisols  (inceptic and Aquic Hapludox), and valley soils are classified as  Inceptisols (Typic Epiaquaepts) (Hall et al., 2015; McDowell et al., 2012;  Scatena, 1989). Detailed site descriptions can be found in Scatena (1989),  Heartsill-Scalley et al (2010), and McDowell et al (2012). Here we refer  to soil organic C (SOC) and soil C interchangeably because there is no  detectable inorganic C in these soils.  <em>Hurricane occurrence\u00a0</em>  <strong>Figure 1: Timeline of major hurricanes that have  affected Luquillo Experimental Forest between sampling dates.  </strong> Nine major hurricanes (category 3 or  higher) have impacted Puerto Rico between 1851 and 2019 (L\u00f3pez-Marrero et  al., 2019), and five of these hurricanes have impacted the LEF. Until  1998, hurricanes had historically directly impacted the LEF approximately  every 60 years (Scatena &amp; Larsen, 1991). Before the initial  sampling campaign of this study, Hurricane San Cipri\u00e1n in 1932 was the  most recent storm to cause major disturbance to the LEF (Scatena &amp;  Larsen, 1991).\u00a0 However, since sampling in 1988, four major hurricanes  have impacted the forest (Figure 1). Hurricane Hugo (Category 3-4) in  1989, Hurricane Georges (Category 3) in 1998, and Hurricanes Irma and  Maria (Categories 5 and 4, respectively) within two weeks in 2017. The  trajectory and windspeeds of all these hurricanes caused widespread  defoliation. Litterfall historically takes over five years to return to  pre-hurricane levels (Scatena et al., 1996).\u00a0  <em>Sampling</em> Sample  collection occurred in 1988 and again in 2018. In both years, samples were  collected from three depths: 0\u201310 cm (the A horizon), 10\u201335 cm (all of the  B1 horizon and part of B2), and 35\u201360 cm (B2 to C) using an 8 cm diameter  soil auger. Soils in this study were sampled at three separate sites at  least 40 m from one another for each of three topographic locations,  ridge, slope, and upland valley. Two separate cores were taken from a  fourth topographic location in the riparian valley, that characterized a  smaller proportion of the area of these watersheds (Scatena &amp;  Lugo, 1995). Riparian valley sites were ephemeral streambeds with a high  boulder presence that limited sampling to less than 25 cm depth in one  case. Sampling sites from 1988 were marked with flags, and samples from  2018 were collected from within 15 m of the same locations as the  replicates from 1988, for consistency. Samples  collected in 1988 were analyzed for bulk density, pH, soil moisture, and a  suite of soil chemical properties (see Silver <em>et al</em>.  1994). Samples were then air-dried and stored in closed Ziploc bags within  paper bags in a storage facility in Richmond, CA, USA before density  fractionation in 2018. Fresh samples collected in 2018 were also  characterized for pH, soil moisture, and soil chemistry. Approximately 3 g  subsamples from each fresh sample in 2018 were immediately extracted with  45 mL of 0.2 M sodium citrate/0.5 M ascorbate solution, shaken for 16  hours, then centrifuged and the supernatant decanted to measure  concentrations of poorly crystalline iron (Fe) oxides. Within two days of  being double-bagged in Ziploc bags, fresh samples were further subsampled  and analyzed for pH in a 1:1 soil-to-water slurry (Thomas, 1996) and for  gravimetric soil moisture by oven-drying ~10 g subsamples at 105 \u00baC until  a constant weight. Soil samples were air-dried before further processing  and analysis. Air-dried soils from both sampling years were sieved to 2 mm  and large roots were sorted out. <em>Soil Density  fractionation</em> Soil was fractionated by  density following the method of Swanston et al. (2005), as modified by  Marin-Spiotta et al., (2009). Approximately 20 g of air-dried soil was  added to centrifuge tubes. Sodium polytungstate (SPT, Na6 [H2W12O40]  TC-Tungsten Compounds, Bavaria, Germany) in solution of density 1.85 g  cm<sup>-3</sup> was added to centrifuge tubes and agitated  before centrifuging. The density of the SPT followed previous studies from  this and nearby sites to allow direct comparison (Guti\u00e9rrez del Arroyo  &amp; Silver, 2018; Hall et al., 2015). Particulate organic matter  floating at the surface after centrifugation, the free light fraction  (FLF), was aspirated and then rinsed with 100 ml of deionized water 5  times on a 0.8 \u00b5m pore polycarbonate filter (Whatman Nuclepore Track Etch  Membrane, Darmstadt, Germany). Rinsed FLF was oven-dried at 65 \u00baC until  weight had stabilized. The remainder of the sample was combined with 70 ml  of additional SPT and mixed using an electric benchtop mixer (G3U05R,  Lightning, New York, NY, USA) at 1700 rpm for 1 min and sonicated in an  ice bath for 3 min at 70% pulse (Branson 450 Sonifier, Danbury, CT, USA).  Sonication is intended to disrupt soil structure and liberate organic  matter that has been occluded in aggregates. The sonicated slurry was  centrifuged again, and the light fraction at the surface, the occluded  light fraction (OLF), was aspirated, rinsed, and dried using the same  method as for the FLF. The remaining soil pellet was considered the heavy  fraction (HF), or mineral-associated organic matter fraction. The HF was  rinsed by thoroughly mixing with 150 ml of deionized water in the  centrifuge tube, centrifuging, and removing the supernatant repeatedly  until the fraction had been rinsed 5 times. The rinsed HF was oven-dried  at 105 \u00baC until weight stabilized. The average mass recovery was  98%. <em>Soil C and N and  \u03b4<sup>13</sup>C</em> Dried bulk and  HF soils were homogenized separately using a Spex Ball mill (SPEX Sample  Prep Mixer Mill 8000D, Metuchen, NJ). The FLF and OLF were homogenized  separately by hand using a mortar and pestle. All homogenized samples were  then analyzed at U. C. Berkeley for C and N concentrations on the CE  Elantech elemental analyzer (Lakewood, NJ) and for  \u03b4<sup>13</sup>C in the Stable Isotope Laboratory at UC  Berkeley, using a CHNOS Elemental Analyzer interfaced to an IsoPrime 100  mass spectrometer (Cheadle Hulme, UK), with a long-term external precision  of 0.10 %. \u00a0Soil C stocks were calculated by multiplying the C  concentrations (%) by the oven-dry mass of bulk soil (&lt; 2 mm) and  dividing by depth and the bulk density as measured in 1988 (Silver et al.,  1994; Throop et al., 2012).  <em>Radiocarbon</em> Homogenized  soil samples were combusted to CO<sub>2</sub> in sealed glass  tubes along with silver (Ag) and copper oxide (CuO) at the Center for  Accelerator Mass Spectrometry at Lawrence Livermore National Lab. The  CO<sub>2 </sub>was then graphitized on Fe powder under  pressurized hydrogen gas (Vogel et al., 1984). Graphite was pressed into  aluminum targets and run on the Compact Accelerator Mass Spectrometer for  radiocarbon analysis (Broek et al., 2021). Radiocarbon is reported in  \u0394<sup>14</sup>C, following Stuiver &amp; Polach (1977),  and calculated based on the fraction of modern isotope composition,  corrected for the year of sampling, and corrected for mass-dependent  fractionation with observed \u03b413C values of the sample. The compact AMS had  an average \u0394<sup>14</sup>C precision of 3.2 %. We report the  corrected \u0394<sup>14</sup>C value and  \u0394\u0394<sup>14</sup>C, which is calculated as  \u0394<sup>14</sup>C of the sample minus  \u0394<sup>14</sup>C of the atmosphere, to account for rapidly  changing atmospheric \u0394<sup>14</sup>C during the study period.  Atmospheric radiocarbon has been decaying nonlinearly since the peak of  weapons testing in the 1950s. Radiocarbon signatures in the soil are  strongly influenced by the atmospheric D<sup>14</sup>C  signature, making them useful for modeling soil C age and transit time,  especially since the 1950s. To compare the contribution of modern C  between 1988 and 2018, it is useful to take the difference between soil  and atmospheric D<sup>14</sup>C values, or  DD<sup>14</sup>C, because atmospheric  D<sup>14</sup>C declined between 1988 (98 %) and 2018 (4.4 %)  in Northern Hemisphere Zone 2 (Hua et al., 2013). We note that the decline  in atmospheric D<sup>14</sup>C is nonlinear, and thus the  DD<sup>14</sup>C in 2018 soil will be less sensitive to  short-term shifts in D<sup>14</sup>C inputs than the samples  from 1988. <em>Carbon age and transit time  modeling</em> Transit times and ages of C were  modeled with the package \u201cSoilR\u201d (Sierra et al., 2012, 2014) in R, version  4.0.2. The change in C density fractions over time, termed C flow, was  modeled using a 3-pool structure with a series flow matrix, under the  simplifying assumption that C flows from the litter pool to the FLF, where  it is sequentially transferred into the OLF and HF pools (Figure 2). The  model structure is depicted in basic form in equation 1,  \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0  \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (1)\u00a0 dC(t)/dt = Inputs - k*C \u00a0in  matrix form with explicit pools in equation 2,  <em>\u00a0</em> <em>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0  \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 </em>(2)\u00a0 dC(t)/dt = [Litter Inputs; 0; 0] +  [-<em>k</em><sub>FLF</sub>, 0, 0 ;  a<sub>21</sub>,\u00a0-<em>k</em><sub>OLF</sub>, 0; 0, a<sub>32</sub>, -<sup>k</sup><sub>HRF</sub>] * [C<sub>FLF</sub>; C<sub>OLF</sub>; C<sub>HF</sub>] where <em>k</em><strong> </strong>is the first-order decay constant for each pool, <em>a</em> is the C transfer rate between pools (<em>i.e. a<sub>21</sub> </em>is the transfer from FLF (pool 1) to OLF (pool 2) and <em>a<sub>32</sub></em> is the transfer from OLF (pool 2) to HF (pool 3)), and <em>C </em>is the C stock of each pool.<strong> </strong>The transitTime and systemAge functions within the \u201csoilR\u201d package use this model structure to solve for the distribution of ages (time since entry) of each pool, and the distribution of transit times (times between entry and exit from the bulk soil) (Sierra et al 2016). Distributions of age and transit time were time-independent and did not assume a specific distribution (Sierra et al., 2014, 2017). <strong>Figure 2: Hypothesized flow of C in soils. </strong> Free light fraction (FLF) C (pink) is either decomposed (at cycling rate -<em>k<sub>FLF </sub>* FLF</em>) or transferred to the occluded light fraction pool (OLF, blue) with the transfer proportion defined by <em>a<sub>21</sub></em>. Carbon transfer between the OLF and heavy fraction (HF, purple) is defined by transfer coefficient <em>a<sub>32</sub></em>, and is respired from these pools at cycling rates -<em>k<sub>OLF</sub>* OLF</em> and <em>-k<sub>HF</sub>* HF</em>, respectively. Figure adapted from Sierra et al. (2012). Soil D<sup>14</sup>C and C stock mean and standard deviations from each time point, depth, and fraction were used to constrain the matrix model describing the movement of C through three soil pools and losses of C from each pool. Topography was not a strong predictor of patterns in D<sup>14</sup>C, C stocks, or C fractions, so samples from all topographies were aggregated for model simulations. The model used mean observed C content in each pool for each depth in 1988 as initial conditions for SOC stocks. Above and belowground litter inputs at 0\u201310 cm were assumed to be 900 g C m<sup>-2</sup> in non-hurricane or hurricane recovery years, based on observations from the same site (Liu et al., 2018; Scatena et al., 1996; Silver et al., 1996; Vogt et al., 1996). Inputs to the 10\u201335 cm and 35\u201360 cm depths were estimated using observations of live fine roots on the surface and typical root distribution in the forest (Silver &amp; Vogt, 1993). Total root input is approximately threefold the input of fine roots alone (McCormack et al., 2015; Yaffar &amp; Norby, 2020), and live fine roots in the 0\u201310 cm depth had a mean biomass of 80 - 250 g C m<sup>-2 \u00a0</sup>(Hall et al., 2015), suggesting that total root C inputs of approximately 450 g C m<sup>-2 </sup>to the surface would be well within the expected range. Root inputs below 0\u201310 cm were estimated assuming that inputs follow the typical distribution of root biomass in Puerto Rican tropical forests, with 60\u201370% of root biomass in 0\u201310 cm, an additional 20-30% of biomass in 10\u201335 cm (~135 g C m<sup>-2\u00ad</sup>), and 5\u20138% of biomass is in the 35\u201360 cm depth (~40 g C m<sup>-2\u00ad</sup>) (Silver &amp; Vogt, 1993; Yaffar &amp; Norby, 2020). The model was parameterized under two scenarios for each depth: 1) constant inputs, assuming a steady-state undisturbed forest, and 2) hurricane inputs, which simulated the input fluxes from defoliation during the three major hurricanes, followed by a subsequent reduction in litter inputs and then litterfall increasing linearly to pre-hurricane inputs over 6 years (Scatena et al., 1996; Silver et al., 1996; Vogt et al., 1996). Hurricane inputs were imposed as an additional pulse of litter inputs to each depth interval, declining with depth. \u00a0The 0\u201310 cm interval received 100% of the surface input pulse, the 10\u201335 cm depth received a pulse of root inputs equivalent to 30% of the surface input pulse, and the 35\u201360 cm depth received root inputs equal to 10% of the surface input pulse. Surface litter pulses under hurricanes were specified according to measured litterfall values and were 42.5 g C m<sup>-2\u00ad</sup> to the surface in 1989 (Hurricane Hugo) and 1998 (Hurricane Georges) (Scatena et al., 1993; Silver et al., 1996) and 1611 g C m<sup>-2 \u00a0</sup>in 2017 (Hurricanes Irma and Maria) (Liu et al. 2018a). The same soil D<sup>14</sup>C and C stock observations were used to constrain the model under each scenario, with only the input regime varying. Parameters of the transfer matrix (<em>-k\u00ad\u00ad<sub>FLF</sub>,</em><sub> </sub><em>-k\u00ad\u00ad<sub>OLF</sub>,<sub> </sub>-k\u00ad\u00ad<sub>HF</sub>,<sub> </sub>a<sub>21</sub>, a<sub>32</sub></em>) were constrained using a cost function to accept or reject potential parameter sets over 1000 iterations, based on observed D<sup>14</sup>C and C stock means and standard errors from both time points (1988 and 2018). A Markov chain Monte Carlo (MCMC) simulation initialized with cost-optimized parameters was run to assimilate observed data and optimize parameter choices to the observations using function <em>modMCMC() </em>from R package \u201cFME\u201d (Sierra et al., 2014; Soetaert &amp; Petzoldt, 2010). The MCMC was iterated over at least 20,000 simulations or until parameter solutions converged according to the trace, which was over 100,000 iterations at the 35\u201360 cm depth. The first half of the iterations was considered the burn-in period before the chain started to converge near an equilibrium, and these iterations were discarded in calculations of optimal parameters. The model output for the surface soils of the HF pool was validated using published radiocarbon values from the mineral-associated fraction (the only fraction analyzed) of samples from the site taken in 2012 (Hall et al., 2015).\u00a0 Bulk and pool soil C age and transit time density distributions and mean values were calculated using the <em>systemAge() </em>and <em>transitTime()</em> functions from the \u201cSoilR\u201d package. Mean density distributions were calculated using the mean parameter set given from the MCMC analysis. Standard deviation from the mean was calculated using the <em>systemAge() </em>and <em>transitTime()</em> functions on 200 sets of five parameters selected randomly within one standard deviation of the mean of each parameter given as output from the MCMC. Lower and upper limits of SOC ages and transit times were calculated using the upper and lower ranges of these iterations. <em>Statistics</em> Statistics were run in R, version 4.0.2 (R Core Team, 2020). The statistical model selection followed the recommendations of Zuur et al (2009). Statistical models were chosen using a linear mixed effects model in package \u201clme4\u201d, with random slopes accounting for the influence each core, or sampling site, had on the response variable values as they varied with depth. This random effect of the core site on the depth effect was evaluated using a restricted maximum likelihood approach and was included in the initial evaluation of all model comparisons. Linear mixed effect models included year, topographic position, depth, and interactions as fixed factors, and the depth effect of each core as a random factor for each of the response variables: C concentration, N concentration, d<sup>13</sup>C, DD<sup>14</sup>C. In evaluations of some response variables with AIC and BIC criteria, the random effect no longer enhanced the model, and model comparison proceeded using ANOVAs of linear models without random effects. Topographic effects on C concentrations are discussed in the supplemental information. Model assumptions were evaluated using the check_model function in R package \u201cperformance\u201d, to check for multicollinearity, normality of residuals, homoscedasticity, homogeneity of variance, influential observations, and normality of random effects. In the cases when random effects were significant (bulk soil d<sup>13</sup>C and DD<sup>14</sup>C, FLF DD<sup>14</sup>C and HF C and N concentrations), fixed effects were chosen using ANOVA of subsequent models using maximum likelihood estimation, with the random effects held constant. Once fixed effects were established, the model was re-fitted using a restricted maximum likelihood approach to report model estimates, and an ANOVA was run to determine the significance of the response variable. In all cases, P-values were estimated using Tukey\u2019s honest significant post-hoc test to assess significant differences between variables, in the package \u201cagricolae\u201d in R, and contrasts and standard errors of contrasts were estimated using lsmeans() function in package \u201clsmeans\u201d in R. Values of\u00a0<em>P</em> &lt; 0.10 were reported as significant unless otherwise specified. The topographic position was not a significant predictor for most variables, so results are reported as means aggregated across positions.", "keywords": ["soil organic carbon", "Transit time", "Tropical forest soil", "FOS: Earth and related environmental sciences", "Soil R", "density fractions", "Radiocarbon"], "contacts": [{"organization": "Mayer, Allegra", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.0k6djhb5k"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.0k6djhb5k", "name": "item", "description": "10.5061/dryad.0k6djhb5k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.0k6djhb5k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.1007/s004420100656", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:07Z", "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": "10.1007/s10533-007-9071-9", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:18Z", "type": "Journal Article", "created": "2007-02-08", "title": "Soil Organic Carbon Storage In Mountain Grasslands Of The Pyrenees: Effects Of Climate And Topography", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "Topography", "13. Climate action", "Climate", "Pyrenees", "Soil organic carbon storage", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Mountain grasslands"]}, "links": [{"href": "https://doi.org/10.1007/s10533-007-9071-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-007-9071-9", "name": "item", "description": "10.1007/s10533-007-9071-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-007-9071-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-02-09T00:00:00Z"}}, {"id": "10.1007/s10533-021-00759-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:20Z", "type": "Journal Article", "created": "2021-01-26", "title": "How much carbon can be added to soil by sorption?", "description": "Abstract<p>Quantifying the upper limit of stable soil carbon storage is essential for guiding policies to increase soil carbon storage. One pool of carbon considered particularly stable across climate zones and soil types is formed when dissolved organic carbon sorbs to minerals. We quantified, for the first time, the potential of mineral soils to sorb additional dissolved organic carbon (DOC) for six soil orders. We compiled 402 laboratory sorption experiments to estimate the additional DOC sorption potential, that is the potential of excess DOC sorption in addition to the existing background level already sorbed in each soil sample. We estimated this potential using gridded climate and soil geochemical variables within a machine learning model. We find that mid- and low-latitude soils and subsoils have a greater capacity to store DOC by sorption compared to high-latitude soils and topsoils. The global additional DOC sorption potential for six soil orders is estimated to be 107 $$ pm$$                   \uffc2\uffb1                  13 Pg C to 1\uffc2\uffa0m depth. If this potential was realized, it would represent a 7% increase in the existing total carbon stock.</p", "keywords": ["550", "Mineral association", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Markvetenskap", "01 natural sciences", "7. Clean energy", "Agricultural and Biological Sciences", "Soil water", "11. Sustainability", "Carbon fibers", "Water Science and Technology", "2. Zero hunger", "Latitude", "Ecology", "Total organic carbon", "Life Sciences", "Composite number", "Geology", "04 agricultural and veterinary sciences", "Saturation", "Milj\u00f6vetenskap", "Soil carbon", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Algorithm", "Chemistry", "Physical Sciences", "Environmental chemistry", "Sorption", "Additional sorption potential", "environment", "Geodesy", "Biogeochemical Cycling of Nutrients in Aquatic Ecosystems", "Soil Science", "Environmental science", "FOS: Mathematics", "Environmental Chemistry", "14. Life underwater", "Soil Carbon Sequestration", "Earth-Surface Processes", "0105 earth and related environmental sciences", "Soil science", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "Soil organic carbon", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "FOS: Earth and related environmental sciences", "15. Life on land", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Adsorption", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Dissolved organic carbon", "Environmental Sciences", "Mathematics"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10533-021-00759-x.pdf"}, {"href": "https://doi.org/10.1007/s10533-021-00759-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-021-00759-x", "name": "item", "description": "10.1007/s10533-021-00759-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-021-00759-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-26T00:00:00Z"}}, {"id": "10.1007/s10021-022-00779-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:12Z", "type": "Journal Article", "created": "2022-09-27", "title": "Biocrusts Modulate Climate Change Effects on Soil Organic Carbon Pools: Insights From a 9-Year Experiment", "description": "Abstract<p>Accumulating evidence suggests that warming associated with climate change is decreasing the total amount of soil organic carbon (SOC) in drylands, although scientific research has not given enough emphasis to particulate (POC) and mineral-associated organic carbon (MAOC) pools. Biocrusts are a major biotic feature of drylands and have large impacts on the C cycle, yet it is largely unknown whether they modulate the responses of POC and MAOC to climate change. Here, we assessed the effects of simulated climate change (control, reduced rainfall (RE), warming (WA), and RE\uffe2\uff80\uff89+\uffe2\uff80\uff89WA) and initial biocrust cover (low (&lt;\uffe2\uff80\uff8920%) versus high (&gt;\uffe2\uff80\uff8950%)) on the mineral protection of soil C and soil organic matter quality in a dryland ecosystem in central Spain for 9\uffc2\uffa0years. At low initial biocrust cover levels, both WA and RE\uffe2\uff80\uff89+\uffe2\uff80\uff89WA increased SOC, especially POC but also MAOC, and promoted a higher contribution of carbohydrates, relative to aromatic compounds, to the POC fraction. These results suggest that the accumulation of soil C under warming treatments may be transitory in soils with low initial biocrust cover. In soils with high initial biocrust cover, climate change treatments did not affect SOC, neither POC nor MAOC fraction. Overall, our results indicate that biocrust communities modulate the negative effect of climate change on SOC, because no losses of soil C were observed with the climate manipulations under biocrusts. Future work should focus on determining the long-term persistence of the observed buffering effect by biocrust-forming lichens, as they are known to be negatively affected by warming.</p", "keywords": ["Carbon cycling", "2. Zero hunger", "Soil organic matter", "Particulate-associated organic carbon", "particulate-associated organic carbon", "carbon cycling", "Qu\u00edmica", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Article", "Nuclear magnetic resonance", "nuclear magnetic resonance", "climate change", "mineral-associated organic carbon", "13. Climate action", "soil organic matter", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Mineral-associated organic carbon", "Biocrusts", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10021-022-00779-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-022-00779-0", "name": "item", "description": "10.1007/s10021-022-00779-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-022-00779-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-27T00:00:00Z"}}, {"id": "10.1007/s10021-022-00802-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:12Z", "type": "Journal Article", "created": "2022-12-12", "title": "Pulse, Shunt and Storage: Hydrological Contraction Shapes Processing and Export of Particulate Organic Matter in River Networks", "description": "Abstract<p>Streams and rivers act as landscape-scale bioreactors processing large quantities of terrestrial particulate organic matter (POM). This function is linked to their flow regime, which governs residence times, shapes organic matter reactivity and controls the amount of carbon (C) exported to the atmosphere and coastal oceans. Climate change impacts flow regimes by increasing both flash floods and droughts. Here, we used a modelling approach to explore the consequences of lateral hydrological contraction, that is, the reduction of the wet portion of the streambed, for POM decomposition and transport at the river network scale. Our model integrates seasonal leaf litter input as generator of POM, transient storage of POM on wet and dry streambed portions with associated decomposition and ensuing changes in reactivity, and transport dynamics through a dendritic river network. Simulations showed that the amount of POM exported from the river network and its average reactivity increased with lateral hydrological contraction, due to the combination of (1) low processing of POM while stored on dry streambeds, and (2) large shunting during flashy events. The sensitivity analysis further supported that high lateral hydrological contraction leads to higher export of higher reactivity POM, regardless of transport coefficient values, average reactivity of fresh leaf litter and differences between POM reactivity under wet and dry conditions. Our study incorporates storage in dry streambed areas into the pulse-shunt concept (Raymond and others in Ecology 97(1):5\uffe2\uff80\uff9316, 2016. https://doi.org/10.1890/14-1684.1), providing a mechanistic framework and testable predictions about leaf litter storage, transport and decomposition in fluvial networks.</p", "keywords": ["DECOMPOSITION", "DYNAMICS", "0106 biological sciences", "330", "FLOW", "WOOD", "01 natural sciences", "Modelling", "Article", "LEAF", "preconditioning", "leaf litter; stream; catchment; organic carbon; organic matter degradation; carbon cycling; preconditioning; flow intermittence; modelling", "HETEROGENEITY", "Organic carbon", "organic matter degradation", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "CARBON FLUXES", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Leaf litter", "Carbon cycle", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "flow intermittence", "6. Clean water", "13. Climate action", "STREAM", "Stream", "Catchments", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://iris.unive.it/bitstream/10278/5031900/2/Catalan_et_al_Ecosystems_2023.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s10021-022-00802-4.pdf"}, {"href": "https://doi.org/10.1007/s10021-022-00802-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10021-022-00802-4", "name": "item", "description": "10.1007/s10021-022-00802-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10021-022-00802-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-12T00:00:00Z"}}, {"id": "10.1007/s10457-007-9072-7", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:14Z", "type": "Journal Article", "created": "2007-06-06", "description": "Carbon sequestration in the woody biomass of shelterbelts has been investigated but there have been no measurements of the C stocks in soil and tree litter under this agroforestry practice. The objective of this study was to quantify C stored in surface soil layers and tree litter within and adjacent to a 35-year-old shelterbelt in eastern Nebraska, USA. The 2-row shelterbelt was composed of eastern red cedar (Juniperus virginiana) and scotch pine (Pinus sylvestris). A sampling grid was estab- lished across a section of the shelterbelt on Tomek silt loam (fine, smectitic, mesic Pachic Argiudolls). Four soil cores were collected at each grid point, divided into 0-7.5 and 7.5-15 cm depth increments, and composited by depth. Soil samples were analyzed for total, organic, and inorganic C, total N, texture, pH, and nutrient content. Under the shelterbelt, all surface litter in a 0.5 \u00b7 0.5 m 2 area at each grid point", "keywords": ["2. Zero hunger", "Scotch pine", "Soil organic carbon", "Natural Resources and Conservation", "Shelterbelt", "0401 agriculture", " forestry", " and fisheries", "Red cedar", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "Tree litter", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Sauer, Thomas J., Cambardella, Cynthia A., Brandle, James R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10457-007-9072-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10457-007-9072-7", "name": "item", "description": "10.1007/s10457-007-9072-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10457-007-9072-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-06-07T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2012.05.015", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:16:57Z", "type": "Journal Article", "created": "2012-08-19", "title": "Tensile Strength And Organic Carbon Of Soil Aggregates Under Long-Term No Tillage In Semiarid Aragon (Ne Spain)", "description": "Open AccessThis research was supported by the Comisi\u00f3n Interministerial de Ciencia y Tecnolog\u00eda of Spain (grants AGL2010-22050-CO3-02/AGR and AGL2007-66320-C02-02/AGR) and the European Union (FEDER funds). N. Blanco-Moure was awarded with a FPI fellowship by the Spanish Ministry of Science and Innovation.", "keywords": ["2. Zero hunger", "Aggregate strength", "Soil organic carbon", "Rupture energy", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Dryland cereal farming", "15. Life on land", "Conservation tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2012.05.015"}, {"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.2012.05.015", "name": "item", "description": "10.1016/j.geoderma.2012.05.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2012.05.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-01T00:00:00Z"}}, {"id": "10.1007/s10533-010-9496-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:19Z", "type": "Journal Article", "created": "2010-07-11", "title": "Effects Of Nitrogen Additions On Above- And Belowground Carbon Dynamics In Two Tropical Forests", "description": "Anthropogenic nitrogen (N) deposition is increasing rapidly in tropical regions, adding N to ecosystems that often have high background N availability. Tropical forests play an important role in the global carbon (C) cycle, yet the effects of N deposition on C cycling in these ecosystems are poorly understood. We used a field N-fertilization experiment in lower and upper elevation tropical rain forests in Puerto Rico to explore the responses of above- and belowground C pools to N addition. As expected, tree stem growth and litterfall productivity did not respond to N fertilization in either of these N-rich forests, indicating a lack of N limitation to net primary productivity (NPP). In contrast, soil C concentrations increased significantly with N fertilization in both forests, leading to larger C stocks in fertilized plots. However, different soil C pools responded to N fertilization differently. Labile (low density) soil C fractions and live fine roots declined with fertilization, while mineral-associated soil C increased in both forests. Decreased soil CO2 fluxes in fertilized plots were correlated with smaller labile soil C pools in the lower elevation forest (R2\u00a0=\u00a00.65, p\u00a0<\u00a00.05), and with lower live fine root biomass in the upper elevation forest (R2\u00a0=\u00a00.90, p\u00a0<\u00a00.05). Our results indicate that soil C storage is sensitive to N deposition in tropical forests, even where plant productivity is not N-limited. The mineral-associated soil C pool has the potential to respond relatively quickly to N additions, and can drive increases in bulk soil C stocks in tropical forests.", "keywords": ["58 Geosciences Aboveground Biomass", "15. Life on land", "Roots", "Aboveground Biomass", "Environmental sciences", "Soil Respiration", "Dissolved Organic Carbon", "Soil Density Fractions", "Environmental Chemistry", "Nutrient Limitation", "54 Environmental Sciences", "Geosciences", "Earth-Surface Processes", "Water Science and Technology"]}, "links": [{"href": "https://escholarship.org/content/qt7ww245cp/qt7ww245cp.pdf"}, {"href": "https://doi.org/10.1007/s10533-010-9496-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-010-9496-4", "name": "item", "description": "10.1007/s10533-010-9496-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-010-9496-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-07-11T00:00:00Z"}}, {"id": "10.1007/s10705-009-9333-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:24Z", "type": "Journal Article", "created": "2009-12-10", "title": "Response Of Bulk Chemical Composition, Lignin And Carbohydrate Signature To Grassland Conversion In A Ley-Arable Cropping System", "description": "Grassland conversion is a common practice in ley-arable cropping systems. The effects of such a disturbance on soil organic matter status and its consequences for biogeochemical cycles in terms of soil organic matter (SOM) dynamics remain poorly understood. We investigated changes occurring in soil organic carbon and nitrogen content, bulk chemical composition and in lignin as well as carbohydrate signature during 2 years after grassland conversion into arable land. Our results showed a rapid SOM decrease in the first few months after the conversion. The bulk chemical composition as seen by solid-state 13C NMR spectroscopy was similar under grassland and arable land, whereas different landuse had an impact on the contribution of plant litter compounds to SOM. SOM of arable soil had higher lignin contents and lower contents of non-cellulosic neutral carbohydrates than grassland soil. After grassland conversion, the most prominent change was an increase of the SOM\u2019s content of non-cellulosic carbohydrate above the contents recorded for grassland or arable land. Principal component analysis indicated that SOM chemical characteristics of converted grassland even after 2 years are similar to those of initial grassland. We conclude that the chemical composition of SOM is less susceptible to rapid change and that re-installation of grassland within some years will safeguard the initial SOM status in ley-arable rotations.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "GRASSLAND", "[SDV]Life Sciences [q-bio]", "SOIL ORGANIC MATTER", "04 agricultural and veterinary sciences", "RETOURNEMENT DE PRAIRIE", "15. Life on land", "GRASSLAND CONVERSION", "01 natural sciences", "630", "NITROGEN", "[SDV] Life Sciences [q-bio]", "ORGANIC CARBON", "BIOGEOCHEMICAL CYCLE", "CHEMISTRY", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Rumpel, Corn\u00e9lia, Chabbi, Abad,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10705-009-9333-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-009-9333-0", "name": "item", "description": "10.1007/s10705-009-9333-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-009-9333-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-11T00:00:00Z"}}, {"id": "10.1007/s10705-014-9599-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:25Z", "type": "Journal Article", "created": "2014-01-10", "title": "Changes In Soil Carbon Stock After Cropland Conversion To Grassland In Russian Temperate Zone: Measurements Versus Model Simulation", "description": "The collapse of Soviet Union in early 1990s led to abandonment of large area of arable land which is assumed to act as a carbon (C) sink. We studied the ability of two dynamic soil C models (Yasso07 and RothC) to predict changes in soil C content after cropland abandonment. The performance of the models was compared using the results of a long-term experiment in Pushchino, Moscow region (5450 0 N, 3735 0 E) in Russia. The experiment was divided in four combinations of fertilizer or mowing treatments on former cropland soil. The soil C content was determined in the year of establishment (1980) and thereafter in 1999 and 2004. The soil C stocks increased by about 1.5- to 1.8-fold during the study period. Both models predicted the overall change in soil C relatively well (modelling efficiency of Yasso07 and RothC were 0.60 and 0.73, respectively). Accord- ing to the models, the soil gained on average 140-150 g C m -2 year -1 during the first 5 years after conversion of cropland to grassland. The C seques- tration rate decreased to 40-50 g C m -2 year -1 after 20 years of land use change. The sequestration rates estimated in this study are comparable to the rates observed in other studies.", "keywords": ["2. Zero hunger", "maaper\u00e4", "hiili", "carbon", "land use", "Yasso07", "maank\u00e4ytt\u00f6", "04 agricultural and veterinary sciences", "15. Life on land", "RothC", "01 natural sciences", "7. Clean energy", "kasvinviljely", "maank\u00e4yt\u00f6n muutos", "soil organic carbon", "land-use change", "soil organic matter", "0401 agriculture", " forestry", " and fisheries", "Kasvintuotanto", "maaper\u00e4n hiili", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10705-014-9599-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-014-9599-8", "name": "item", "description": "10.1007/s10705-014-9599-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-014-9599-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-01-01T00:00:00Z"}}, {"id": "10.1007/s10705-025-10429-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:25Z", "type": "Journal Article", "created": "2025-08-20", "title": "Regenerating productivity after soil fertility depletion in a 20-year cotton\u2013maize rotation in Benin", "description": "Abstract           <p>Soil degradation is a major challenge in Sub-Saharan Africa, where integrated soil fertility management has been promoted to restore productivity. A long-term experiment (1972\uffe2\uff80\uff931992) run in Benin consisted of two phases: a depletion phase (1972\uffe2\uff80\uff931980) with varying levels of mineral and organic fertilisation, and a regeneration phase (1981\uffe2\uff80\uff931992) where all plots received full fertilisation and organic matter additions. Soils were sampled at 0\uffe2\uff80\uff9320\uffc2\uffa0cm depth in 1973, 1974, 1982, and 1989 to assess fertility changes. Mineral fertilisation (N, P, K) and plant biomass management (crop residue retention and biomass additions) significantly influenced seed cotton and maize grain yields during the depletion phase. Soil organic carbon declined consistently in all treatments during depletion but remained stable during regeneration. The long-term effect was evident only in seed cotton yield during depletion. In contrast, due to high variability, maize grain yield showed no consistent trend. The combined use of organic resources and mineral fertilisers helped maintain crop productivity but led to declining soil chemical properties in this Ferralsol. The analysis of this outdated yet unpublished dataset shed light on how long-term soil depletion effects persist over time, even when soil fertility management is restored, indicating a sort of \uffe2\uff80\uff98soil memory\uffe2\uff80\uff99. The persistence of these effect suggests that regenerative interventions must begin before critical thresholds of degradation are crossed. Future research should focus on alternative measures to restore/maintain soil fertility not evaluated in this experiment, such as conservation tillage or legume integration, to provide long-term benefits for smallholder farmers facing soil fertility challenges.</p", "keywords": ["Crop residues", "diversification", "propri\u00e9t\u00e9 physicochimique du sol", "IMPACT", "http://aims.fao.org/aos/agrovoc/c_7170", "rendement des cultures", "Cotton-maize yields", "Nutrient cycling", "http://aims.fao.org/aos/agrovoc/c_875", "fertilisation", "CARBON", "CROP PRODUCTIVITY", "http://aims.fao.org/aos/agrovoc/c_10176", "Long-term experiment", "mauvaise herbe", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_7165", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "COMPOST", "pratique culturale", "http://aims.fao.org/aos/agrovoc/c_8511", "http://aims.fao.org/aos/agrovoc/c_10795", "http://aims.fao.org/aos/agrovoc/c_7168", "http://aims.fao.org/aos/agrovoc/c_35657", "Gossypium", "Soil organic carbon", "MEMORY", "http://aims.fao.org/aos/agrovoc/c_7182", "Soil's memory", "non-travail du sol", "http://aims.fao.org/aos/agrovoc/c_8fc04948", "http://aims.fao.org/aos/agrovoc/c_331583", "STATE", "ORGANIC-MATTER", "fertilit\u00e9 du sol", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_8347", "YIELD", "d\u00e9gradation du sol", "conservation des sols", "MINERAL FERTILIZER", "http://aims.fao.org/aos/agrovoc/c_3335", "gestion int\u00e9gr\u00e9e de la fertilit\u00e9 des sols", "http://aims.fao.org/aos/agrovoc/c_2344", "mati\u00e8re organique du sol"]}, "links": [{"href": "https://doi.org/10.1007/s10705-025-10429-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-025-10429-1", "name": "item", "description": "10.1007/s10705-025-10429-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-025-10429-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-20T00:00:00Z"}}, {"id": "10.1007/s11027-020-09916-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:26Z", "type": "Journal Article", "created": "2020-06-22", "title": "The effect of crop residues, cover crops, manures and nitrogen fertilization on soil organic carbon changes in agroecosystems: a synthesis of reviews", "description": "Abstract<p>International initiatives are emphasizing the capture of atmospheric CO2 in soil organic C (SOC) to reduce the climatic footprint from agroecosystems. One approach to quantify the contribution of management practices towards that goal is through analysis of long-term experiments (LTEs). Our objectives were to analyze knowledge gained in literature reviews on SOC changes in LTEs, to evaluate the results regarding interactions with pedo-climatological factors, and to discuss disparities among reviews in data selection criteria. We summarized mean response ratios (RRs) and stock change rate (SCR) effect size indices from twenty reviews using paired comparisons (N). The highest RRs were found with manure applications (30%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89418), followed by aboveground crop residue retention and the use of cover crops (9\uffe2\uff80\uff9310%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89995 and 129), while the effect of nitrogen fertilization was lowest (6%, N\uffe2\uff80\uff89=\uffe2\uff80\uff89846). SCR for nitrogen fertilization exceeded that for aboveground crop residue retention (233 versus 117\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89183 and 279) and was highest for manure applications and cover crops (409 and 331\uffc2\uffa0kg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921, N\uffe2\uff80\uff89=\uffe2\uff80\uff89217 and 176). When data allows, we recommend calculating both RR and SCR because it improves the interpretation. Our synthesis shows that results are not always consistent among reviews and that interaction with texture and climate remain inconclusive. Selection criteria for study durations are highly variable, resulting in irregular conclusions for the effect of time on changes in SOC. We also discuss the relationships of SOC changes with yield and cropping systems, as well as conceptual problems when scaling-up results obtained from field studies to regional levels.</p", "keywords": ["Carbon sequestration", "DYNAMICS", "Management practices", "Environmental Sciences & Ecology", "SEQUESTRATION", "4104 Environmental management", "Stock change rates", "MANAGEMENT", "STOCKS", "Meteorology & Atmospheric Sciences", "AGRICULTURAL SOILS", "0502 Environmental Science and Management", "S Agriculture (General)", "Agricultural Science", "METAANALYSIS", "TILLAGE", "2. Zero hunger", "Science & Technology", "CLIMATE-CHANGE", "Soil organic carbon", "Relative response ratio", "04 agricultural and veterinary sciences", "15. Life on land", "LONG", "Meta-analysis", "0501 Ecological Applications", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine", "MATTER", "Environmental Sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/17675/1/bolinder_m_a_et_al_200930.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s11027-020-09916-3.pdf"}, {"href": "https://rau.repository.guildhe.ac.uk/id/eprint/16409/1/Bolinder2020_Article_TheEffectOfCropResiduesCoverCr.pdf"}, {"href": "https://doi.org/10.1007/s11027-020-09916-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mitigation%20and%20Adaptation%20Strategies%20for%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11027-020-09916-3", "name": "item", "description": "10.1007/s11027-020-09916-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11027-020-09916-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-22T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.03.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:17:30Z", "type": "Journal Article", "created": "2007-04-24", "title": "Soil Carbon Turnover And Sequestration In Native Subtropical Tree Plantations", "description": "Approximately 30% of global soil organic carbon (SOC) is stored in subtropical and tropical ecosystems but it is being rapidly lost due to continuous deforestation. Tree plantations are advocated as a C sink, however, little is known about rates of C turnover and sequestration into soil organic matter under subtropical and tropical tree plantations. We studied changes in SOC in a chronosequence of hoop pine (Araucaria cwunninghamii) plantations established on former rainforest sites in seasonally dry subtropical Australia. SOC, delta C-13, and light fraction organic C (LF C < 1.6 g cm(-3)) Were determined in plantations, secondary rainforest and pasture. We calculated loss of rainforest SOC after clearing for pasture using an isotope mixing model, and used the decay rate of rainforest-derived C to predict input of hoop pine-derived C into the soil. Total SOC stocks to 100 cm depth were significantly (P < 0.01) higher under rainforest (241 t ha(-1)) and pasture (254 t ha(-1)) compared to hoop pine (176-211 t ha(-1)). We calculated that SOC derived from hoop pine inputs ranged from 32% (25 year plantation) to 61% (63 year plantation) of total SOC in the 0-30 cm soil layer, but below 30 cm all C originated from rainforest. These results were compared to simulations made by the Century soil organic matter model. The Century model Simulations showed that lower C stocks under hoop pine plantations were due to reduced C inputs to the slow turnover C pool, such that this pool only recovers to within 45% of the original rainforest C pool after 63 years. This may indicate differences in soil C stabilization mechanisms under hoop pine plantations compared with rainforest and pasture. These results demonstrate that subtropical hoop pine plantations do not rapidly sequester SOC into long-term storage pools, and that alternative plantation systems may need to be investigated to achieve greater soil C sequestration. (c) 2007 Elsevier Ltd. All rights reserved.", "keywords": ["Araucaria", "C-13", "Soil Science", "Land-use Change", "Storage", "Puerto-rico", "Century model", "01 natural sciences", "C1", "light fraction carbon", "Pasture", "300103 Soil Chemistry", "Southern Queensland", "Rain-forest", "0105 earth and related environmental sciences", "tree plantations", "Organic-matter Dynamics", "770702 Land and water management", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term Trends", "carbon sequestration", "soil organic carbon", "Forest Conversion", "Continuous Cultivation", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2007.03.012"}, {"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.2007.03.012", "name": "item", "description": "10.1016/j.soilbio.2007.03.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.03.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-01T00:00:00Z"}}, {"id": "10.1007/s11104-013-1928-1", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-06-23T16:15:34Z", "type": "Journal Article", "created": "2013-10-22", "title": "Effect Of The Replacement Of Tropical Forests With Tree Plantations On Soil Organic Carbon Levels In The Jomoro District, Ghana", "description": "Background and aims  In the Jomoro district in Ghana, tree plantations were the first cause of deforestation in the past, drastically reducing the area occupied by primary forests. The aim of this study was to quantify soil organic carbon (SOC) losses due to a change in land use from primary forest to tree plantations (cocoa, coconut, rubber, oil palm) on the different substrates of the district. Secondary forests and mixed plantations were also included in the study.", "keywords": ["2. Zero hunger", "Primary forests", "Soil organic carbon", "Tree plantations", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "Deforestation", "15. Life on land", "Land use change", "3. Good health"]}, "links": [{"href": "https://doi.org/10.1007/s11104-013-1928-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-013-1928-1", "name": "item", "description": "10.1007/s11104-013-1928-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-013-1928-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-23T00:00:00Z"}}, {"id": "10.1007/s11104-012-1258-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:33Z", "type": "Journal Article", "created": "2012-05-01", "title": "Soil Properties Following Reforestation Or Afforestation Of Marginal Cropland", "description": "Aims Reforestation or afforestation of marginal agri- cultural lands offers opportunities to sequester soil organic carbon (SOC), improve the quality of degrad- ed soils, and provide ecosystem services. The objec- tives of this study were to identify the extent and distribution of marginally productive cropland in the state of Iowa and to quantify the changes in SOC and relevant soil properties following tree planting. Methods A geographic information system (GIS) analysis was used to identify 1.05 million ha of mar- ginal cropland within the state. Soil samples were collected from four locations with (<51 yr-old) forest plantations and adjacent crop fields. Soil samples were analyzed for SOC, total nitrogen (TN), pH, cation exchange capacity (CEC), ammonium acetate- extractable K, Ca, Mg, and Na, and particle size. Results The forested soils had 30.0\u00b15.1 % (mean \u00b1standard error) more SOC than the tilled cropland. The average annualchangeinSOC following treeplant- ing was estimated to be 0.56\u00b10.05 Mg C ha \ufffd1 yr \ufffd1 . Differences were observed in several soil properties but strong correlations with SOC content were only observed for bulk density and extractable Ca. Conclusions These results indicate that within 5 dec- ades of tree planting on former cropland or pasture there was consistently and significantly greater SOC in soil beneath the trees.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Climate change mitigation", "550", "Soil organic carbon", "Ecosystem services", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil quality", "630"], "contacts": [{"organization": "Sauer, Thomas J., James, David E., Cambardella, Cynthia A., Hernandez-Ramirez, Guillermo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s11104-012-1258-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-012-1258-8", "name": "item", "description": "10.1007/s11104-012-1258-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-012-1258-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-02T00:00:00Z"}}, {"id": "10.5061/dryad.f4m6k", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:16Z", "type": "Dataset", "title": "Data from: Spatial variability in soil organic carbon in a tropical montane landscape: associations between soil organic carbon and land use, soil properties, vegetation, and topography vary across plot to landscape scales", "description": "unspecifiedPresently, the lack of data on soil organic carbon (SOC) stocks in  relation to land-use types and biophysical characteristics prevents  reliable estimates of ecosystem carbon stocks in montane landscapes of  mainland SE Asia. Our study, conducted in a 10\u202f000\u202fha landscape in  Xishuangbanna, SW China, aimed at assessing the spatial variability in SOC  concentrations and stocks, as well as the relationships of SOC with  land-use types, soil properties, vegetation characteristics and  topographical attributes at three spatial scales: (1) land-use types  within a landscape (10\u202f000\u202fha), (2) sampling plots (1\u202fha) nested within  land-use types (plot distances ranging between 0.5 and 12\u202fkm), and (3)  subplots (10\u202fm radius) nested within sampling plots. We sampled 27  one-hectare plots \u2013 10 plots in mature forests, 11 plots in regenerating  or highly disturbed forests, and 6 plots in open land including tea  plantations and grasslands. We used a sampling design with a hierarchical  structure. The landscape was first classified according to land-use types.  Within each land-use type, sampling plots were randomly selected, and  within each plot we sampled within nine subplots. SOC concentrations and  stocks did not differ significantly across the four land-use types.  However, within the open-land category, SOC concentrations and stocks in  grasslands were higher than in tea plantations (P\u2009&lt;\u20090.01 for  0\u20130.15\u202fm, P\u2009=\u20090.05 for 0.15\u20130.30\u202fm, P\u2009=\u20090.06 for 0\u20130.9\u202fm depth). The SOC  stocks to a depth of 0.9\u202fm were 177.6\u202f\u00b1\u202f19.6 (SE) Mg\u202fC\u202fha\u22121 in tea  plantations, 199.5\u202f\u00b1\u202f14.8\u202fMg\u202fC\u202fha\u22121 in regenerating or highly disturbed  forests, 228.6\u202f\u00b1\u202f19.7\u202fMg\u202fC\u202fha\u22121 in mature forests, and  236.2\u202f\u00b1\u202f13.7\u202fMg\u202fC\u202fha\u22121 in grasslands. In this montane landscape,  variability within plots accounted for more than 50\u202f% of the overall  variance in SOC stocks to a depth of 0.9\u202fm and the topsoil SOC  concentrations. The relationships of SOC concentrations and stocks with  land-use types, soil properties, vegetation characteristics, and  topographical attributes varied across spatial scales. Variability in SOC  within plots was determined by litter layer carbon stocks (P\u2009&lt;\u20090.01  for 0\u20130.15\u202fm and P\u2009=\u20090.03 for 0.15\u20130.30 and 0\u20130.9\u202fm depth) and slope  (P\u2009\u2264\u20090.01 for 0\u20130.15, 0.15\u20130.30, and 0\u20130.9\u202fm depth) in open land, and by  litter layer carbon stocks (P\u2009&lt;\u20090.001 for 0\u20130.15, 0.15\u20130.30 and  0\u20130.9\u202fm depth) and tree basal area (P\u2009&lt;\u20090.001 for 0\u20130.15\u202fm and  P\u2009=\u20090.01 for 0\u20130.9\u202fm depth) in forests. Variability in SOC among plots in  open land was related to the differences in SOC concentrations and stocks  between grasslands and tea plantations. In forests, the variability in SOC  among plots was associated with elevation (P\u2009&lt;\u20090.01 for 0\u20130.15\u202fm  and P\u2009=\u20090.09 for 0\u20130.9\u202fm depth). The scale-dependent relationships between  SOC and its controlling factors demonstrate that studies that aim to  investigate the land-use effects on SOC need an appropriate sampling  design reflecting the controlling factors of SOC so that land-use effects  will not be masked by the variability between and within sampling plots.", "keywords": ["Soil organic carbon stocks", "Land-use type", "Soil characteristics", "15. Life on land"], "contacts": [{"organization": "de Bl\u00e9court, Marleen, Corre, Marife D., Paudel, Ekananda, Harrison, Rhett D., Brumme, Rainer, Veldkamp, Edzo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.f4m6k"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.f4m6k", "name": "item", "description": "10.5061/dryad.f4m6k", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.f4m6k"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-27T00:00:00Z"}}, {"id": "10.1007/s11104-015-2556-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:35Z", "type": "Journal Article", "created": "2015-06-15", "title": "Land Use Change Decreases Soil Carbon Stocks In Tibetan Grasslands", "description": "\u00a9 2015, Springer International Publishing Switzerland. Backgrounds and aims: Land use is an important factor affecting soil organic carbon (SOC) dynamics and can produce positive C climate feedback, but its effects remain unknown for Tibetan ecosystems. Methods: Recent land use changes have converted the traditional winter Kobresia pastures of nomads in the northeastern Tibetan Plateau to Elymus pastures or even to cropland. Detailed SOC measurements up to 30-cm depth were combined with analysis of \u03b413C, \u03b415N, bulk density, microbial C, and N contents in three land use types. Results: Bulk density was decreased by conversion from Kobresia pasture to cropland but increased by conversion to Elymus pasture. The loss of 1\u00a0% of SOC caused by land use change leads to \u03b413C increase of 0.8 \u2030. Conversion to cropland significantly decreased SOC stocks (10\u00a0%) and microbial biomass C, but the C loss (1.6\u00a0%) was insignificant in Elymus pasture. Land use changes strongly increased soil \u03b415N in the top 5\u00a0cm. Conclusions: Conversion to Elymus pasture did not change the C stocks, but conversion to cropland decreased C stocks by 10\u00a0% within 10\u00a0years. Soil \u03b413C and \u03b415N data indicate acceleration of C and N cycling due to the replacement of Kobresia pasture by Elymus pasture and cropland.", "keywords": ["2. Zero hunger", "Soil organic carbon", "13. Climate action", "\u03b413C", "Pasture", "0401 agriculture", " forestry", " and fisheries", "Cropland", "Alpine meadow", "04 agricultural and veterinary sciences", "Total nitrogen", "15. Life on land", "\u03b415N"]}, "links": [{"href": "https://doi.org/10.1007/s11104-015-2556-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-015-2556-8", "name": "item", "description": "10.1007/s11104-015-2556-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-015-2556-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-06-16T00:00:00Z"}}, {"id": "10.1007/s11104-015-2625-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:35Z", "type": "Journal Article", "created": "2015-08-08", "title": "Long-Term Impacts Of Season Of Grazing On Soil Carbon Sequestration And Selected Soil Properties In The Arid Eastern Cape, South Africa", "description": "The Karoo biomes of South Africa are major feed resources for livestock farming, yet soil nutrient depletion and degradation is a major problem. The objective of this study was to assess impacts of long-term (>75\u00a0years) grazing during spring (SPG), summer (SUG), winter (WG) and exclosure (non-grazed control) treatments on soil nutrients, penetration resistance and infiltration tests. A soil sampling campaign was carried out to collect soil to a depth of 60\u00a0cm to analyse bulk density, soil physical and chemical parameters as well as soil compaction and infiltration. Generally, grazing treatments reduced soil organic C (SOC) stocks and C:N ratios, and modified soil properties. There was higher SOC stock (0.128\u00a0Mg\u00a0ha\u22121\u00a0yr\u22121) in the exclosure than in the SPG (0.096\u00a0Mg\u00a0ha\u22121\u00a0yr\u22121), SUG (0.099\u00a0Mg\u00a0ha\u22121\u00a0yr\u22121) and WG (0.105\u00a0Mg\u00a0ha\u22121\u00a0yr\u22121). The C:N ratios exhibited similar pattern to that of C. From the grazing treatments, the WG demonstrated 7 to 10\u00a0% additional SOC stock over the SPG and SUG, respectively. Short period animal exclusion could be an option to be considered to improve plant nutrients in sandy soils of South Africa. However, this may require a policy environment which supports stock exclusion from such areas vulnerable to land degradation, nutrient and C losses by grazing-induced vegetation and landscape changes.", "keywords": ["2. Zero hunger", "Soil organic carbon", "[SDE.MCG]Environmental Sciences/Global Changes", "Exclosure", "04 agricultural and veterinary sciences", "Total nitrogen", "15. Life on land", "630", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "[SDE.MCG] Environmental Sciences/Global Changes", "Grazing season", "\u00e9cosyst\u00e8me aride", "13. Climate action", "Arid ecosystem", "mati\u00e8re organique", "saison de p\u00e2turage", "carbone organique du sol", "0401 agriculture", " forestry", " and fisheries", "Organic matter", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "azote total"]}, "links": [{"href": "https://doi.org/10.1007/s11104-015-2625-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-015-2625-z", "name": "item", "description": "10.1007/s11104-015-2625-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-015-2625-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-08-09T00:00:00Z"}}, {"id": "10.1007/s11104-015-2751-7", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:35Z", "type": "Journal Article", "created": "2015-11-26", "title": "Linking Dissolved Organic Carbon Cycling To Organic Carbon Fluxes In Rice Paddies Under Different Water Management Practices", "description": "Although paddy soils are generally characterized by relatively high dissolved organic carbon (DOC) concentrations and fluxes, little is yet known on how water management influences the cycling of this important organic C pool. This work aims at providing insights into the link between DOC cycling during rice cropping and organic C input to the subsoils and export with surface waters, as well as methane (CH4) emissions in a temperate paddy soil as a function of different water management practices. DOC quantity, quality and fluxes, as well as CH4 emissions were evaluated at field-scale over two cropping seasons for three water management systems including continuous flooding, dry seeding with delayed flooding, and intermittent irrigation. DOC cycling in the different water management systems were strongly linked to the reducing soil conditions resulting from field flooding. In contrast to dry seeding or intermittent irrigation, adoption of continuous flooding not only favoured the accumulation of DOC in the topsoil (>10\u201320\u00a0mg C l\u22121), but also enhanced C inputs to the subsoil (33\u201351\u00a0g C m\u22122), and exports with surface waters (18\u201344\u00a0g C m\u22122). Moreover, changes in DOC quality in paddy soils were linked to a positive feedback on the abiotic release of soil-derived DOC, and substrate availability for CH4 production. Water management practices in rice paddies strongly affect the temporal trends in DOC quantity and quality over the cropping season, with important implications on organic C fluxes.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Organic carbon fluxes", " soil redox conditions", " reductive dissolution", " surfacewaters", " subsoil", " methane emissions", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1543501/4/Said-Pullicino_Open%20access.pdf"}, {"href": "https://doi.org/10.1007/s11104-015-2751-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-015-2751-7", "name": "item", "description": "10.1007/s11104-015-2751-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-015-2751-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-26T00:00:00Z"}}, {"id": "10.1007/s11104-017-3401-z", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:15:36Z", "type": "Journal Article", "created": "2017-09-11", "title": "Biochemical Proxies Indicate Differences In Soil C Cycling Induced By Long-Term Tillage And Residue Management In A Tropical Agroecosystem", "description": "A potential benefit of conservation agriculture (CA) is soil organic carbon (SOC) accrual, yet recent studies indicate limited or no impact of CA on total SOC in tropical agroecosystems. We evaluated biochemical indicators of soil C cycling after 9\u00a0years (18 seasons) of contrasting tillage with and without maize residue retention in western Kenya. Potential activities of C-cycling enzymes (\u03b2-glucosidase, GLU; \u03b2-galactosidase, GAL; glucosaminidase, GLM; cellobiohydrolase, CEL), permanganate-oxidizable C (POXC), and soil organic matter (SOM) composition (by infrared spectroscopy) were measured. POXC tended to be greater under reduced tillage and residue retention, but did not significantly differ among treatments (\u2264 2% of SOC). Despite no significant differences in SOC concentrations or stocks, activities of all 4 C-cycling enzymes responded strongly to tillage, and to a lesser extent to residue management. Activities of GLU, GAL, and GLM were greatest under the combination of reduced tillage and residue retention relative to other treatments. Reduced tillage produced an enrichment in carboxyl C\u00a0=\u00a0O (+6%) and decreased polysaccharide C-O (\u22123.5%) relative to conventional tillage irrespective of residue management. Though enzyme activities and POXC are typically associated with SOC accrual, changes in soil C cycling at this site have not translated into significant differences in SOC after 9\u00a0years. Elevated enzyme activities may have offset potential SOC accumulation under CA. However, the ratio of C-cycling enzyme activities to SOC was higher under reduced tillage and residue retention relative to other treatments, indicating that stoichiometric scaling of SOC and enzyme activities does not explain absence of significant differences in SOC among tillage and residue managements. Potential factors that may explain the low SOC accrual rates in this tropical agroecosystem included the low, albeit realistic, levels of residue retention, nutrient limitations, and high temperatures favoring decomposition.", "keywords": ["glucosidase", "Conservation agriculture", "actividad enzim\u00e1tica", "residuos", "glucosidasa", "Tillage", "residue", "Enzyme activities", "2. Zero hunger", "Agricultural and Veterinary Sciences", "Soil organic carbon", "Agronomy & Agriculture", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Kenya", "agricultura de conservaci\u00f3n", "enzyme activity", "soil organic carbon", "conservation agriculture", "Residue", "13. Climate action", "tillage", "0401 agriculture", " forestry", " and fisheries", "labranza", "Glucosidase", "Environmental Sciences"]}, "links": [{"href": "https://escholarship.org/content/qt3217p4kt/qt3217p4kt.pdf"}, {"href": "https://doi.org/10.1007/s11104-017-3401-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-017-3401-z", "name": "item", "description": "10.1007/s11104-017-3401-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-017-3401-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-08T00:00:00Z"}}, {"id": "10.1007/s11769-018-0939-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:15:46Z", "type": "Journal Article", "created": "2018-03-13", "title": "Effect Of Wetland Reclamation On Soil Organic Carbon Stability In Peat Mire Soil Around Xingkai Lake In Northeast China", "description": "Closed AccessLa teneur et la densit\u00e9 du carbone organique du sol (COS) et des fractions de COS labiles et stables dans le sol de tourbi\u00e8re dans les zones humides, les champs de soja et les rizi\u00e8res r\u00e9cup\u00e9r\u00e9es dans les zones humides autour du lac Xingkai dans le nord-est de la Chine ont \u00e9t\u00e9 \u00e9tudi\u00e9es. Des \u00e9tudes ont \u00e9t\u00e9 con\u00e7ues pour \u00e9tudier l'impact de la remise en \u00e9tat des zones humides pour la culture du soja et du riz sur la stabilit\u00e9 du SOC. Apr\u00e8s la r\u00e9g\u00e9n\u00e9ration, la teneur en COS et la densit\u00e9 dans la couche sup\u00e9rieure du sol de 0 \u00e0 30 cm ont diminu\u00e9, et la teneur en COS et la densit\u00e9 dans le champ de soja \u00e9taient plus \u00e9lev\u00e9es que dans le champ de riz. La teneur et la densit\u00e9 des fractions de COS labiles ont \u00e9galement diminu\u00e9, et la densit\u00e9 des fractions de COS labiles et leurs rapports avec le COS dans les champs de soja \u00e9taient inf\u00e9rieurs \u00e0 ceux observ\u00e9s dans les champs de paddy. Dans la couche de sol de 0 \u00e0 30 cm, les densit\u00e9s des fractions de COS labiles, \u00e0 savoir le carbone organique dissous (COD), le carbone de biomasse microbienne (MBC), le carbone facilement oxyd\u00e9 (roc) et le carbone facilement min\u00e9ralis\u00e9 (RMC), dans les champs de soja et de riz, se sont toutes r\u00e9v\u00e9l\u00e9es inf\u00e9rieures \u00e0 celles des zones humides de 34,00\u00a0% et 13,83\u00a0%, 51,74\u00a0% et 35,13\u00a0%, 62,24\u00a0% et 59,00\u00a0%, et 64,24\u00a0% et 17,86\u00a0%, respectivement. Apr\u00e8s la r\u00e9cup\u00e9ration, la densit\u00e9 de COS des micro-agr\u00e9gats (< 0,25 mm) en tant que fraction de COS stable et son rapport avec le COS dans les couches de sol de 0\u20135, 5\u201310, 10\u201320 et 20\u201330 cm ont augment\u00e9. La densit\u00e9 de COS des micro-agr\u00e9gats dans la couche de sol de 0 \u00e0 30 cm dans les champs de soja \u00e9tait de 50,83\u00a0% sup\u00e9rieure \u00e0 celle des rizi\u00e8res. En raison de la r\u00e9cup\u00e9ration, la densit\u00e9 de COS et la densit\u00e9 de fraction de COS labile ont diminu\u00e9, mais apr\u00e8s la r\u00e9cup\u00e9ration, la plupart des COS ont \u00e9t\u00e9 stock\u00e9s sous une forme plus complexe et stable. La culture du soja est plus respectueuse de la r\u00e9sidence durable du COS dans les sols que la riziculture.", "keywords": ["Soil Science", "Carbon Dynamics in Peatland Ecosystems", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "Soil water", "Paddy field", "Soil Carbon Sequestration", "Biology", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Soil Fertility", "Ecology", "Peat", "Total organic carbon", "Life Sciences", "Land reclamation", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "Bulk density", "Agronomy", "6. Clean water", "Chemistry", "Wetland Restoration", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Wetland", "Environmental chemistry", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"], "contacts": [{"organization": "Lili Huo, Yuanchun Zou, Xianguo Lyu, Zhongsheng Zhang, Xuehong Wang, Yingli An,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s11769-018-0939-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chinese%20Geographical%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11769-018-0939-5", "name": "item", "description": "10.1007/s11769-018-0939-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11769-018-0939-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-13T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=organic+carbon&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=organic+carbon&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=organic+carbon&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=organic+carbon&offset=50", "hreflang": "en-US"}], "numberMatched": 694, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-06-24T03:19:13.957611Z"}