{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2022.107867", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:16:46Z", "type": "Journal Article", "created": "2022-01-22", "title": "The impact of crop diversification, tillage and fertilization type on soil total microbial, fungal and bacterial abundance: A worldwide meta-analysis of agricultural sites", "description": "Microorganisms play a key role in nutrient cycling in agriculture and can contribute to improve soil quality and enhance crop production. Thus, there is a need to identify the most suitable management practices which foster increases in soil microbial biomass and diversity. A meta-analysis was performed to assess changes in microbial abundance in agricultural soils affected by: (i) management practices (tillage, fertilization and crop diversification); and (ii) environmental factors, including climate characteristics and soil properties. The scope of the meta-analysis was to evaluate whether microbial abundances are affected or not by organic fertilization or no fertilization, crop diversification (intercropping and crop rotations) and conservation tillage (reduced tillage/no-tillage) as an alternative to intensive conventional monocultures in agriculture. Only papers showing data on phospholipid fatty acids (PLFAs), providing indicators about soil microbial (total PLFA), fungal and bacterial biomass reached a critical mass to perform the meta-analysis. Therefore, soil microbial diversity could not be analyzed considering different management practices. Results showed that intercropping and crop rotations only significantly increased the abundance of fungi, with the corresponding increase in the fungal-to-bacterial ratio. Organic fertilization contributed to significant increases in bacterial and fungal abundance and total PLFA compared to mineral fertilization. Contrarily, the lack of fertilization negatively affected total PLFA, with no significant effect on bacterial and fungal abundances. Reduced tillage significantly increased total PLFA, fungal and bacterial abundances compared to conventional tillage, while no tillage had only a positive effect on fungi. Thus, as a general pattern, the adoption of sustainable management practices, mostly organic fertilization and reduced tillage, has overall positive effects on soil total microbial, fungal and bacterial abundance. These variables were not related to soil physicochemical properties and climatic factors, suggesting a positive global effect of sustainable management practices on soil microbial abundances. Thus, this study shows new insights by a meta-analysis of global studies about the effect of sustainable management practices on soil microbial abundances, needed for land-managers, policy-makers and farmers to select sustainable cropping systems that enhance microbial abundance. Financiado para publicaci\u00f3n en acceso aberto: Universidade de Vigo/CISUG Ministerio de Econom\u00eda y Competitividad | Ref. RYC-2015\u201318758 Ministerio de Econom\u00eda, Industria y Competitividad | Ref. RYC-2016\u201320411 Ministerio de Ciencia e Innovaci\u00f3n | Ref. FJC2019\u2013039176-I Xunta de Galicia | Ref. ED481D-2021/016", "keywords": ["2. Zero hunger", "Organic farming", "15. Proteger", " restablecer y promover el uso sostenible de los ecosistemas terrestres", " gestionar sosteniblemente los bosques", " luchar contra la desertificaci\u00f3n", " detener e invertir la degradaci\u00f3n de las tierras y detener la p\u00e9rdida de biodiversidad", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage", "12. Responsible consumption", "Edafolog\u00eda y Qu\u00edmica Agr\u00edcola", "13. Climate action", "Diversification", "Fertilization", "2. Poner fin al hambre", " lograr la seguridad alimentaria y la mejora de la nutrici\u00f3n y promover la agricultura sostenible", "PLFA", "3103.08 Gesti\u00f3n de la Producci\u00f3n Vegetal", "3103.12 Comportamiento del Suelo en Cultivos Rotatorios", "0401 agriculture", " forestry", " and fisheries", "25 Ciencias de la Tierra y del Espacio::2511 Ciencias del Suelo (Edafolog\u00eda)", "3103.05 T\u00e9cnicas de Cultivo"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2022.107867"}, {"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.2022.107867", "name": "item", "description": "10.1016/j.agee.2022.107867", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2022.107867"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2018.01.030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:18:31Z", "type": "Journal Article", "created": "2018-02-13", "title": "Soil quality \u2013 A critical review", "description": "Sampling and analysis or visual examination of soil to assess its status and use potential is widely practiced from plot to national scales. However, the choice of relevant soil attributes and interpretation of measurements are not straightforward, because of the complexity and site-specificity of soils, legacy effects of previous land use, and trade-offs between ecosystem services. Here we review soil quality and related concepts, in terms of definition, assessment approaches, and indicator selection and interpretation. We identify the most frequently used soil quality indicators under agricultural land use. We find that explicit evaluation of soil quality with respect to specific soil threats, soil functions and ecosystem services has rarely been implemented, and few approaches provide clear interpretation schemes of measured indicator values. This limits their adoption by land managers as well as policy. We also consider novel indicators that address currently neglected though important soil properties and processes, and we list the crucial steps in the development of a soil quality assessment procedure that is scientifically sound and supports management and policy decisions that account for the multi-functionality of soil. This requires the involvement of the pertinent actors, stakeholders and end-users to a much larger degree than practiced to date.", "keywords": ["Monitoring", "Ecosystem service", "Land quality", "Soil fertility", "stakeholders", "Soil quality", "tierras", "Soil health", "Stakeholder", "soil quality", "agentes interesados", "Soil capability", "2. Zero hunger", "Minimum data set", "soil health", "soil fertility", "indicadores", "04 agricultural and veterinary sciences", "15. Life on land", "indicators", "6. Clean water", "ecosystem service", "land", "monitoring", "Indicator", "Soil function", "0401 agriculture", " forestry", " and fisheries", "Soil threat"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2018.01.030"}, {"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.2018.01.030", "name": "item", "description": "10.1016/j.soilbio.2018.01.030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2018.01.030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-01T00:00:00Z"}}, {"id": "10.1073/pnas.2309881120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:19:48Z", "type": "Journal Article", "created": "2024-01-08", "title": "Extreme drought impacts have been underestimated in grasslands and shrublands globally", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change is increasing the frequency and severity of short-term (~1 y) drought events\u2014the most common duration of drought\u2014globally. Yet the impact of this intensification of drought on ecosystem functioning remains poorly resolved. This is due in part to the widely disparate approaches ecologists have employed to study drought, variation in the severity and duration of drought studied, and differences among ecosystems in vegetation, edaphic and climatic attributes that can mediate drought impacts. To overcome these problems and better identify the factors that modulate drought responses, we used a coordinated distributed experiment to quantify the impact of short-term drought on grassland and shrubland ecosystems. With a standardized approach, we imposed ~a single year of drought at 100 sites on six continents. Here we show that loss of a foundational ecosystem function\u2014aboveground net primary production (ANPP)\u2014was 60% greater at sites that experienced statistically extreme drought (1-in-100-y event) vs. those sites where drought was nominal (historically more common) in magnitude (35% vs. 21%, respectively). This reduction in a key carbon cycle process with a single year of extreme drought greatly exceeds previously reported losses for grasslands and shrublands. Our global experiment also revealed high variability in drought response but that relative reductions in ANPP were greater in drier ecosystems and those with fewer plant species. Overall, our results demonstrate with unprecedented rigor that the global impacts of projected increases in drought severity have been significantly underestimated and that drier and less diverse sites are likely to be most vulnerable to extreme drought.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Medical Sciences", "Drought Severity", "550", "580 Plants (Botany)", "551", "Tierras de Matorral", "Medical Specialties", "Medicine and Health Sciences", "SDG 13 - Climate Action", "climate extreme | Drought-Net | International Drought Experiment | productivity", "Productividad Primaria Neta", "Net Primary Productivity", "Productivity", "2. Zero hunger", "Praderas", "Productividad", "Life Sciences", "Biological Sciences", "Grassland", "6. Clean water", "Droughts", "Grasslands", "[SDE]Environmental Sciences", "Drought-Net", "Public Health", "International Drought Experiment", "Ciclo del Carbono", "Severidad de la Sequ\u00eda", "Global Impacts", "productivity", "Climate Change", "climate extreme", "333", "Carbon Cycle", "Environmental Public Health", "XXXXXX - Unknown", "Impacto Global", "Scrublands", "General", "Biology", "Ecosystem", "Experimento internacional de Sequ\u00eda", "500", "Receptor Protein-Tyrosine Kinases", "15. Life on land", "Clima Extremo", "Climate Science", "13. Climate action", "Cambio Clim\u00e1tico", "Extreme Climate", "Climate extreme", "Klimatvetenskap"]}, "links": [{"href": "https://boris.unibe.ch/191349/1/smith-et-al-2024-extreme-drought-impacts-have-been-underestimated-in-grasslands-and-shrublands-globally.pdf"}, {"href": "https://escholarship.org/content/qt9b707158/qt9b707158.pdf"}, {"href": "https://doi.org/10.1073/pnas.2309881120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2309881120", "name": "item", "description": "10.1073/pnas.2309881120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2309881120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}, {"id": "10.1080/21683565.2014.917144", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:20:02Z", "type": "Journal Article", "created": "2014-05-02", "title": "Organic And Clay-Based Soil Amendments Increase Maize Yield, Total Nutrient Uptake, And Soil Properties In Lao Pdr", "description": "In the Lao People\u2019s Democratic Republic (PDR), increasing food security remains a challenge since smallholder agricultural systems, which are the main source of food production, are under serious threat due to poor soil fertility and climate variability. This study was undertaken in Lao PDR to investigate the impacts of organic and clay-based soil amendments on maize yield, total nutrient uptake, and soil properties. Structured field experiments were established over two consecutive years (2011 and 2012) with maize as the test crop at the Veunkham and Naphok sites. Ten treatments were applied in a randomized complete block design with three replications. The treatments were control, rice husk biochar (applied at a rate of 10 t ha\u22121), bentonite clay (10 t ha\u22121), compost (4 t ha\u22121), clay-manure compost (10 t ha\u22121), rice husk biochar compost (10 t ha\u22121), and their combinations. All treatments were applied in 2011. Significant (p < 0.05) treatment effects in maize grain yields, total nutrient uptake, and soil...", "keywords": ["2. Zero hunger", "bentonite", "land degradation", "enmiendas org\u00e1nicas", "rice husks", "bentonita", "cascarilla de arroz", "04 agricultural and veterinary sciences", "15. Life on land", "organic amendments", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "degradaci\u00f3n de tierras", "development"], "contacts": [{"organization": "Mekuria, Wolde M., Noble, A.D., Sengtaheuanghoung, Oloth, Hoanh, Chu Thai, Bossio, Deborah A., Sipaseuth, Nivong, McCartney, Matthew P., Lagan, Simon,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1080/21683565.2014.917144"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroecology%20and%20Sustainable%20Food%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/21683565.2014.917144", "name": "item", "description": "10.1080/21683565.2014.917144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/21683565.2014.917144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-08-21T00:00:00Z"}}, {"id": "10.1093/aob/mcab107", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:20:06Z", "type": "Journal Article", "created": "2021-08-17", "title": "Disentangling water sources in a gypsum plant community. Gypsum crystallization water is a key source of water for shallow-rooted plants", "description": "AbstractBackground and Aims<p>Gypsum drylands are widespread worldwide. In these arid ecosystems, the ability of different species to access different water sources during drought is a key determining factor of the composition of plant communities. Gypsum crystallization water could be a relevant source of water for shallow-rooted plants, but the segregation in the use of this source of water among plants remains unexplored. We analysed the principal water sources used by 20 species living in a gypsum hilltop, the effect of rooting depth and gypsum affinity, and the interaction of the plants with the soil beneath them.</p>Methods<p>We characterized the water stable isotope composition, \uffce\uffb4\uffe2\uff80\uff8a2H and \uffce\uffb4\uffe2\uff80\uff8a18O, of plant xylem water and related it to the free and gypsum crystallization water extracted from different depths throughout the soil profile and the groundwater, in both spring and summer. Bayesian isotope mixing models were used to estimate the contribution of water sources to plant xylem sap.</p>Key Results<p>In spring, all species used free water from the top soil as the main source. In summer, there was segregation in water sources used by different species depending on their rooting depth, but not on their gypsum affinity. Gypsum crystallization water was the main source for most shallow-rooted species, whereas free water from 50 to 100 cm depth was the main source for deep-rooted species. We detected plant\uffe2\uff80\uff93soil interactions in spring, and indirect evidence of possible hydraulic lift by deep-rooted species in summer.</p>Conclusions<p>Plants coexisting in gypsum communities segregate their hydrological niches according to their rooting depth. Crystallization water of gypsum represents an unaccounted for, vital source for most of the shallow-rooted species growing on gypsum drylands. Thus, crystallization water helps shallow-rooted species to endure arid conditions, which eventually accounts for the maintenance of high biodiversity in these specialized ecosystems.</p", "keywords": ["0106 biological sciences", "Root depth", "Water stable isotopes", "Enraizamiento", "Oxygen Isotopes", "Calcium Sulfate", "Plant Roots", "01 natural sciences", "Drought", " gypsum crystallization water", "Soil", "Ecosystem", "Hlant community", "Water", "Bayes Theorem", "Yeso", "Original Articles", "04 agricultural and veterinary sciences", "15. Life on land", "Water sources", "6. Clean water", "Tierras de secano", "Relaciones planta suelo", "0401 agriculture", " forestry", " and fisheries", "Hydrological niche", "Gypsum affinity", "Crystallization"]}, "links": [{"href": "https://academic.oup.com/aob/article-pdf/129/1/87/42111311/mcab107.pdf"}, {"href": "https://doi.org/10.1093/aob/mcab107"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/aob/mcab107", "name": "item", "description": "10.1093/aob/mcab107", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/aob/mcab107"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "10.1111/ejss.12998", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:20:32Z", "type": "Journal Article", "created": "2020-05-21", "title": "Machine learning in space and time for modelling soil organic carbon change", "description": "Abstract<p>Spatially resolved estimates of change in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at achieving land degradation neutrality and climate change mitigation. In this work we report on the development, implementation and application of a data\uffe2\uff80\uff90driven, statistical method for mapping SOC stocks in space and time, using Argentina as a pilot. We used quantile regression forest machine learning to predict annual SOC stock at 0\uffe2\uff80\uff9330\uffe2\uff80\uff89cm depth at 250\uffe2\uff80\uff89m resolution for Argentina between 1982 and 2017. The model was calibrated using over 5,000 SOC stock values from the 36\uffe2\uff80\uff90year time period and 35 environmental covariates. We preprocessed normalized difference vegetation index (NDVI) dynamic covariates using a temporal low\uffe2\uff80\uff90pass filter to allow the SOC stock for a given year to depend on the NDVI of the current as well as preceding years. Predictions had modest temporal variation, with an average decrease for the entire country from 2.55 to 2.48\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922 over the 36\uffe2\uff80\uff90year period (equivalent to a decline of 211 Gg C, 3.0% of the total 0\uffe2\uff80\uff9330\uffe2\uff80\uff89cm SOC stock in Argentina). The Pampa region had a larger estimated SOC stock decrease from 4.62 to 4.34\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922 (5.9%) during the same period. For the 2001\uffe2\uff80\uff932015 period, predicted temporal variation was seven\uffe2\uff80\uff90fold larger than that obtained using the Tier 1 approach of the Intergovernmental Panel on Climate Change and United Nations Convention to Combat Desertification. Prediction uncertainties turned out to be substantial, mainly due to the limited number and poor spatial and temporal distribution of the calibration data, and the limited explanatory power of the covariates. Cross\uffe2\uff80\uff90validation confirmed that SOC stock prediction accuracy was limited, with a mean error of 0.03\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922 and a root mean squared error of 2.04\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m\uffe2\uff88\uff922. In spite of the large uncertainties, this work showed that machine learning methods can be used for space\uffe2\uff80\uff93time SOC mapping and may yield valuable information to land managers and policymakers, provided that SOC observation density in space and time is sufficiently large.</p>Highlights<p> <p>We tested the use of machine learning for space\uffe2\uff80\uff93time mapping of soil organic carbon (SOC) stock.</p> <p>Predictions for Argentina from 1982 to 2017 showed a 3% decrease of the topsoil SOC stock over time.</p> <p>The machine learning model predicted a greater temporal variation than the IPCC Tier 1 approach.</p> <p>Accurate machine learning SOC stock prediction requires dense soil sampling in space and time.</p> </p", "keywords": ["Estimaci\u00f3n de las Existencias de Carbono", "2. Zero hunger", "quantile regression forest", "land degradation", "Climate Change", "carbon stock", "Argentina", "Carbon Stock Assessments", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Space-time Mapping", "space\u2013time mapping", "climate change", "Bosque de Regresi\u00f3n de Cuantiles", "13. Climate action", "Cambio Clim\u00e1tico", "Land Degradation", "Quantile Regression Rorest", "0401 agriculture", " forestry", " and fisheries", "Mapeo Espacio-tiempo", "Degradaci\u00f3n de Tierras", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.12998"}, {"href": "https://doi.org/10.1111/ejss.12998"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.12998", "name": "item", "description": "10.1111/ejss.12998", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.12998"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-30T00:00:00Z"}}, {"id": "10.2136/sssaj2003.1195", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:22:39Z", "type": "Journal Article", "created": "2010-07-27", "description": "In the Brazilian savanna, there is a risk that soil fertility of pastures declines to a level below that of the native savanna because of low fertilizer application. To evaluate biophysical pasture sustainability we compared regularly fertilized productive pasture (PP), degraded pasture fertilized 13 yr previously (DP), and native savanna (Cerrado, CE) in an on-farm experiment. We determined (i) biomass productivity of the pastures and (ii) nutrient concentrations in Anionic Acrustoxes from three plots under each of CE, DP, and PP. From the 0- to 2-m soil layer, we sampled solid phase in January 1998 and soil solution during two rainy seasons (1997-1998 and 1998-1999). The mean aboveground biomass production (dry weight) was 2.1 Mg ha -1  yr -4  for DP and 4.1 Mg ha -1  yr -1  for PP. In the solid phase of the 0- to 0.15-m layer, mean total N and S and exchangeable Ca and Mg concentrations increased in the order CE < DP < PP, while NaHCO 3 -extractable P was not significantly different among CE, DP, and PP. In the soil solution at 0.15-m depth, pH and concentrations of Ca and Mg also increased in the order CE < DP < PP. At the 2-m depth, only K, Mn, and NO 3 -N concentrations in soil solution were slightly higher under the pastures than under CE indicating an increased risk of leaching losses to below the rooting zone. Thus, topsoil fertility in both pastures is increased compared with CE, and little leaching occurs. Some fertility indicators in DP are still improved compared with CE 13 yr after a single fertilization.", "keywords": ["productividad", "2. Zero hunger", "productivity", "soil fertility", "tierras de pastos", "04 agricultural and veterinary sciences", "fertilidad del suelo", "15. Life on land", "01 natural sciences", "rangelands", "pastures", "savannas", "soil exhaustion", "pastizales", "0401 agriculture", " forestry", " and fisheries", "agotamiento del suelo", "sabanas", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Lilienfein, J, Wilcke, W., Vilela, L, Ayarza, Miguel Angel, Carmo Lima, S. do, Zech, W.,", "roles": ["creator"]}]}, "links": [{"href": "http://ciat-library.ciat.cgiar.org/articulos_ciat/lilienfein2003.pdf"}, {"href": "https://doi.org/10.2136/sssaj2003.1195"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj2003.1195", "name": "item", "description": "10.2136/sssaj2003.1195", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj2003.1195"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-07-01T00:00:00Z"}}, {"id": "10.4995/cigeo2021.2021.12694", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:23:57Z", "type": "Journal Article", "created": "2021-10-11", "title": "A review of the use of remote sensing for monitoring and quantifying carbon sequestration in marginal lands", "description": "<p>In recent years, Remote Sensing (RS) and its derived products have been used as a key tool for the detection, monitoring,management and future use of Marginal Lands (ML). Currently, there is no single, universally accepted definition of theterm and there is a wide variety of synonyms. In this paper, we conduct a compilation of synonyms and meanings thatencompass the term, as well as propose a definition. To reach this objective, an overview of the state of the art of ML isdone, visualising trends by science maps, based on bibliographic data of established research journals, found in GoogleScholar, Web of Science (WoS) and Scopus search engines. The bibliographic review carried out shows that the study ofML has traditionally been carried out with an ad hoc basis focused on the objective to be achieved, this aspect and otherknowledge gaps are discussed to analyse the global study of ML. Due to the broad spectrum of uses in which ML havebeen studied, the work has been focused on RS for monitoring and characterizing ML, focusing on two different aspects:(i) satellite monitoring of marginal lands; and (ii) determining carbon sequestration potential of marginal lands using remotesensing.</p>", "keywords": ["Cartography", "Carbon sequestration", "Earth observation", "Uso del suelo", "Cultural Heritage", "Marginal lands", "Remote sensing", "15. Life on land", "12. Responsible consumption", "3D Modelling", "Geophysics", "Captura de carbono", "13. Climate action", "Land use", "11. Sustainability", "Teledetecci\u00f3n", "Tierras marginales", "marginal lands", " remote sensing", " carbon sequestration", " land use", "Geocomputing", "Environmental applications", "Geodesy"]}, "links": [{"href": "https://doi.org/10.4995/cigeo2021.2021.12694"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20-%203rd%20Congress%20in%20Geomatics%20Engineering%20-%20CIGeo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4995/cigeo2021.2021.12694", "name": "item", "description": "10.4995/cigeo2021.2021.12694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4995/cigeo2021.2021.12694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.5424/sjar/2009073-456", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:27:08Z", "type": "Journal Article", "created": "2013-11-19", "description": "<p>Conservation tillage has been promoted as a solution to counteract constraints caused by intensive agriculture. In this work the effects of two conservation tillage systems, reduced tillage (RT) and no-tillage (NT) were compared to the traditional tillage (TT) in a long- (15 years, RT) and short-term experiment (3 years, NT). Both experiments were carried out under semi-arid, rainfed agriculture of Mediterranean SW Spain. Tillage caused a sharp increase in soil CO2 emissions immediately after tillage implementation, with a maximum value of 6.24 g CO2/square m/h under long-term TT treatment. Along the year, losses of carbon through CO2 emission were higher (905 and 801 g C/square m/year for the long- and shortterm TT treatments respectively), than those estimated for conservation systems (764 and 718 g C/square m/year for RT and NT respectively). Conservation tillage systems accumulated more soil organic carbon (SOC) in surface than the corresponding TT treatments (1.24 and 1.17 times greater for RT and NT, respectively, at 0-10 cm depth). Despite SOC accumulation would be moderate other variables related to soil quality, such as dehydrogenase activity, can be consistently increased in soil surface in conservation tillage, as the stratification ratio values indicated. Crop yields in conservation tillage were similar to or even greater than those obtained in TT. The agricultural (soil quality) and environmental (less CO2 emission to the atmosphere) benefits derived from conservation tillage make this system recommendable for semi-arid Mediterranean rainfed agriculture.</p>", "keywords": ["CULTIVOS; CULTIVO EN TIERRAS ARIDAS; LABRANZA MINIMA; CERO-LABRANZA; LABRANZA CONVENCIONAL; CARBONO; FERTILIDAD DEL SUELO; PROTECCION AMBIENTAL; RENDIMIENTO DE CULTIVOS; EXPERIMENTACION; ESPANA", "PROTECCION AMBIENTAL", "Soil quality", "EXPERIMENTACION", "12. Responsible consumption", "CARBON", "CULTIVOS", "RENDIMIENTO DE CULTIVOS", "Rendimiento de cultivo", "CROP YIELD", "ESPANA", "SOIL FERTILITY", "Calidad del suelo", "EXPERIMENTATION", "Conservation tillage", "CROPS", "2. Zero hunger", "FERTILIDAD DEL SUELO", "Crop yields", "SPAIN", "CONVENTIONAL TILLAGE", "0402 animal and dairy science", "AGRICULTURAL CHEMISTRY", "Laboreo de conservaci\u00f3n", "04 agricultural and veterinary sciences", "15. Life on land", "CULTIVO EN TIERRAS ARIDAS", "6. Clean water", "CO2 fluxes", "Flujo del CO2", "LABRANZA CONVENCIONAL", "CERO-LABRANZA", "CROPS; DRY FARMING; MINIMUM TILLAGE; ZERO TILLAGE; CONVENTIONAL TILLAGE; CARBON; SOIL FERTILITY; ENVIRONMENTAL PROTECTION; CROP YIELD; EXPERIMENTATION; SPAIN", "13. Climate action", "MINIMUM TILLAGE", "ENVIRONMENTAL PROTECTION", "CARBONO", "0401 agriculture", " forestry", " and fisheries", "LABRANZA MINIMA", "DRY FARMING", "ZERO TILLAGE"]}, "links": [{"href": "https://doi.org/10.5424/sjar/2009073-456"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Spanish%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5424/sjar/2009073-456", "name": "item", "description": "10.5424/sjar/2009073-456", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2009073-456"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-01T00:00:00Z"}}, {"id": "10.7910/DVN/3BLW7E", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:59Z", "type": "Dataset", "created": "2020-02-20", "title": "Soil organic carbon in agricultural systems of six countries in East Africa  \u2013 a literature review of status and carbon sequestration potential", "description": "Open AccessA systematic literature review of existing evidence on soil organic carbon (SOC) responses to agronomic best management practices (BMPs) in cultivated soils of East Africa, focusing on Ethiopia, Kenya, Rwanda, Tanzania, Uganda, and Burundi. Examining current evidence on the extent to which BMPs can increase SOC stocks and whether net SOC sequestration is attainable in this region. The study also sought to identify knowledge gaps and make recommendations for future research. Independent variables:  \u2022 Annual rainfall (mm year-1), as semi-arid (&lt;600), sub-humid (601-1200), moist sub-humid (1201-1500), or humid (&gt;1500) \u2022 Temperature \u2022 Location,  \u2022 Altitude - lowland (&lt;1500 m above sea level (a.s.l.)) or highland (\u2265 1500 m a.s.l.).  \u2022 Soil characteristics \u2013 type, bulk density, texture \u2022 The time period after which changes in SOC were measured - short-term (&lt;10 years), medium-term (10-25 years), and long-term (&gt;25 years).  \u2022 Soil depth: 0-30 cm, 0-50 cm, and 0-100 cm. Dependent variables \u2022 Soil organic carbon stock (t C ha 1) \u2022 Soil organic carbon sequestration (t C ha 1 year-1) \u2022 Soil organic carbon loss (t C ha 1 year-1)", "keywords": ["soil organic carbon", "carbono organico del suelo", "Agricultural Sciences", "Soil organic carbon", "Earth and Environmental Sciences", "cropland", "Africa", "Cropland", "Multifunctional Landscapes", "tierras agricolas", "Best management practices", "East Africa"], "contacts": [{"organization": "Namirembe, Sara, Piikki, Kristin, Sommer, Rolf, S\u00f6derstr\u00f6m, Mats, Tessema, Bezaye, Nyawira, Sylvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/3BLW7E"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/3BLW7E", "name": "item", "description": "10.7910/DVN/3BLW7E", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/3BLW7E"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/FA3ZJS", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:27:59Z", "type": "Dataset", "created": "2016-11-30", "title": "Pilot Project Land Degradation Neutrality (LDN), Namibia: Establishment of a baseline for land degradation in the region of Otjozondjupa", "description": "Soil and vegetation data collected to develop LDN baselines in Otjozondjupa region of Namibia. The baselines include: land cover change, land productivity, soil organic carbon, and bush encroachment.", "keywords": ["SDG 15.3", "Land cover", "sustainable development", "UNCCD", "Land degradation neutrality", "Agricultural Sciences", "land degradation", "carbon", "Soil Carbon", "Namibia", "Carbon", "soil", "Soil", "land cover", "Earth and Environmental Sciences", "Sustainable development", "Africa", "Soils", "Land degradation", "degradaci\u00f3n de tierras", "desarrollo sostenible", "Otjozondjupa"], "contacts": [{"organization": "Nijbroek, Ravic, Mutua, John, S\u00f6derstr\u00f6m, Mats, Piikki, Kristin, Kempen, Bas, Hengari, Simeon,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/FA3ZJS"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/FA3ZJS", "name": "item", "description": "10.7910/DVN/FA3ZJS", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/FA3ZJS"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10317/18601", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:23Z", "type": "Journal Article", "created": "2022-01-22", "title": "The impact of crop diversification, tillage and fertilization type on soil total microbial, fungal and bacterial abundance: A worldwide meta-analysis of agricultural sites", "description": "Microorganisms play a key role in nutrient cycling in agriculture and can contribute to improve soil quality and enhance crop production. Thus, there is a need to identify the most suitable management practices which foster increases in soil microbial biomass and diversity. A meta-analysis was performed to assess changes in microbial abundance in agricultural soils affected by: (i) management practices (tillage, fertilization and crop diversification); and (ii) environmental factors, including climate characteristics and soil properties. The scope of the meta-analysis was to evaluate whether microbial abundances are affected or not by organic fertilization or no fertilization, crop diversification (intercropping and crop rotations) and conservation tillage (reduced tillage/no-tillage) as an alternative to intensive conventional monocultures in agriculture. Only papers showing data on phospholipid fatty acids (PLFAs), providing indicators about soil microbial (total PLFA), fungal and bacterial biomass reached a critical mass to perform the meta-analysis. Therefore, soil microbial diversity could not be analyzed considering different management practices. Results showed that intercropping and crop rotations only significantly increased the abundance of fungi, with the corresponding increase in the fungal-to-bacterial ratio. Organic fertilization contributed to significant increases in bacterial and fungal abundance and total PLFA compared to mineral fertilization. Contrarily, the lack of fertilization negatively affected total PLFA, with no significant effect on bacterial and fungal abundances. Reduced tillage significantly increased total PLFA, fungal and bacterial abundances compared to conventional tillage, while no tillage had only a positive effect on fungi. Thus, as a general pattern, the adoption of sustainable management practices, mostly organic fertilization and reduced tillage, has overall positive effects on soil total microbial, fungal and bacterial abundance. These variables were not related to soil physicochemical properties and climatic factors, suggesting a positive global effect of sustainable management practices on soil microbial abundances. Thus, this study shows new insights by a meta-analysis of global studies about the effect of sustainable management practices on soil microbial abundances, needed for land-managers, policy-makers and farmers to select sustainable cropping systems that enhance microbial abundance. Financiado para publicaci\u00f3n en acceso aberto: Universidade de Vigo/CISUG Ministerio de Econom\u00eda y Competitividad | Ref. RYC-2015\u201318758 Ministerio de Econom\u00eda, Industria y Competitividad | Ref. RYC-2016\u201320411 Ministerio de Ciencia e Innovaci\u00f3n | Ref. FJC2019\u2013039176-I Xunta de Galicia | Ref. ED481D-2021/016", "keywords": ["2. Zero hunger", "Organic farming", "15. Proteger", " restablecer y promover el uso sostenible de los ecosistemas terrestres", " gestionar sosteniblemente los bosques", " luchar contra la desertificaci\u00f3n", " detener e invertir la degradaci\u00f3n de las tierras y detener la p\u00e9rdida de biodiversidad", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage", "12. Responsible consumption", "Edafolog\u00eda y Qu\u00edmica Agr\u00edcola", "13. Climate action", "Diversification", "Fertilization", "2. Poner fin al hambre", " lograr la seguridad alimentaria y la mejora de la nutrici\u00f3n y promover la agricultura sostenible", "PLFA", "3103.08 Gesti\u00f3n de la Producci\u00f3n Vegetal", "3103.12 Comportamiento del Suelo en Cultivos Rotatorios", "0401 agriculture", " forestry", " and fisheries", "25 Ciencias de la Tierra y del Espacio::2511 Ciencias del Suelo (Edafolog\u00eda)", "3103.05 T\u00e9cnicas de Cultivo"]}, "links": [{"href": "https://doi.org/10317/18601"}, {"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": "10317/18601", "name": "item", "description": "10317/18601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10317/18601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-01T00:00:00Z"}}, {"id": "10532/5508", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:28:31Z", "type": "Journal Article", "created": "2021-08-17", "title": "Disentangling water sources in a gypsum plant community. Gypsum crystallization water is a key source of water for shallow-rooted plants", "description": "AbstractBackground and Aims<p>Gypsum drylands are widespread worldwide. In these arid ecosystems, the ability of different species to access different water sources during drought is a key determining factor of the composition of plant communities. Gypsum crystallization water could be a relevant source of water for shallow-rooted plants, but the segregation in the use of this source of water among plants remains unexplored. We analysed the principal water sources used by 20 species living in a gypsum hilltop, the effect of rooting depth and gypsum affinity, and the interaction of the plants with the soil beneath them.</p>Methods<p>We characterized the water stable isotope composition, \uffce\uffb4\uffe2\uff80\uff8a2H and \uffce\uffb4\uffe2\uff80\uff8a18O, of plant xylem water and related it to the free and gypsum crystallization water extracted from different depths throughout the soil profile and the groundwater, in both spring and summer. Bayesian isotope mixing models were used to estimate the contribution of water sources to plant xylem sap.</p>Key Results<p>In spring, all species used free water from the top soil as the main source. In summer, there was segregation in water sources used by different species depending on their rooting depth, but not on their gypsum affinity. Gypsum crystallization water was the main source for most shallow-rooted species, whereas free water from 50 to 100 cm depth was the main source for deep-rooted species. We detected plant\uffe2\uff80\uff93soil interactions in spring, and indirect evidence of possible hydraulic lift by deep-rooted species in summer.</p>Conclusions<p>Plants coexisting in gypsum communities segregate their hydrological niches according to their rooting depth. Crystallization water of gypsum represents an unaccounted for, vital source for most of the shallow-rooted species growing on gypsum drylands. Thus, crystallization water helps shallow-rooted species to endure arid conditions, which eventually accounts for the maintenance of high biodiversity in these specialized ecosystems.</p", "keywords": ["0106 biological sciences", "Root depth", "Water stable isotopes", "Enraizamiento", "Oxygen Isotopes", "Calcium Sulfate", "Plant Roots", "01 natural sciences", "Drought", " gypsum crystallization water", "Soil", "Ecosystem", "Hlant community", "Water", "Bayes Theorem", "Yeso", "Original Articles", "04 agricultural and veterinary sciences", "15. Life on land", "Water sources", "6. Clean water", "Tierras de secano", "Relaciones planta suelo", "0401 agriculture", " forestry", " and fisheries", "Hydrological niche", "Gypsum affinity", "Crystallization"]}, "links": [{"href": "https://academic.oup.com/aob/article-pdf/129/1/87/42111311/mcab107.pdf"}, {"href": "https://doi.org/10532/5508"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Annals%20of%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10532/5508", "name": "item", "description": "10532/5508", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10532/5508"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "10568/90970", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:28:32Z", "type": "Journal Article", "created": "2018-02-12", "title": "Soil quality \u2013 A critical review", "description": "Sampling and analysis or visual examination of soil to assess its status and use potential is widely practiced from plot to national scales. However, the choice of relevant soil attributes and interpretation of measurements are not straightforward, because of the complexity and site-specificity of soils, legacy effects of previous land use, and trade-offs between ecosystem services. Here we review soil quality and related concepts, in terms of definition, assessment approaches, and indicator selection and interpretation. We identify the most frequently used soil quality indicators under agricultural land use. We find that explicit evaluation of soil quality with respect to specific soil threats, soil functions and ecosystem services has rarely been implemented, and few approaches provide clear interpretation schemes of measured indicator values. This limits their adoption by land managers as well as policy. We also consider novel indicators that address currently neglected though important soil properties and processes, and we list the crucial steps in the development of a soil quality assessment procedure that is scientifically sound and supports management and policy decisions that account for the multi-functionality of soil. This requires the involvement of the pertinent actors, stakeholders and end-users to a much larger degree than practiced to date.", "keywords": ["Monitoring", "Ecosystem service", "Land quality", "Soil fertility", "stakeholders", "tierras", "Soil health", "Stakeholder", "soil quality", "agentes interesados", "Soil capability", "2. Zero hunger", "Minimum data set", "soil health", "soil fertility", "indicadores", "04 agricultural and veterinary sciences", "15. Life on land", "indicators", "6. Clean water", "ecosystem service", "land", "monitoring", "Indicator", "Soil function", "0401 agriculture", " forestry", " and fisheries", "Soil threat"]}, "links": [{"href": "https://doi.org/10568/90970"}, {"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": "10568/90970", "name": "item", "description": "10568/90970", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10568/90970"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-05-01T00:00:00Z"}}, {"id": "1959.7/uws:76872", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-26T16:29:05Z", "type": "Journal Article", "created": "2024-01-08", "title": "Extreme drought impacts have been underestimated in grasslands and shrublands globally", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Climate change is increasing the frequency and severity of short-term (~1 y) drought events\u2014the most common duration of drought\u2014globally. Yet the impact of this intensification of drought on ecosystem functioning remains poorly resolved. This is due in part to the widely disparate approaches ecologists have employed to study drought, variation in the severity and duration of drought studied, and differences among ecosystems in vegetation, edaphic and climatic attributes that can mediate drought impacts. To overcome these problems and better identify the factors that modulate drought responses, we used a coordinated distributed experiment to quantify the impact of short-term drought on grassland and shrubland ecosystems. With a standardized approach, we imposed ~a single year of drought at 100 sites on six continents. Here we show that loss of a foundational ecosystem function\u2014aboveground net primary production (ANPP)\u2014was 60% greater at sites that experienced statistically extreme drought (1-in-100-y event) vs. those sites where drought was nominal (historically more common) in magnitude (35% vs. 21%, respectively). This reduction in a key carbon cycle process with a single year of extreme drought greatly exceeds previously reported losses for grasslands and shrublands. Our global experiment also revealed high variability in drought response but that relative reductions in ANPP were greater in drier ecosystems and those with fewer plant species. Overall, our results demonstrate with unprecedented rigor that the global impacts of projected increases in drought severity have been significantly underestimated and that drier and less diverse sites are likely to be most vulnerable to extreme drought.</p></article>", "keywords": ["[SDE] Environmental Sciences", "Medical Sciences", "Drought Severity", "550", "580 Plants (Botany)", "551", "Tierras de Matorral", "Medical Specialties", "Medicine and Health Sciences", "SDG 13 - Climate Action", "climate extreme | Drought-Net | International Drought Experiment | productivity", "Productividad Primaria Neta", "Net Primary Productivity", "Productivity", "2. Zero hunger", "Praderas", "Productividad", "Life Sciences", "Biological Sciences", "Grassland", "6. Clean water", "Droughts", "Grasslands", "[SDE]Environmental Sciences", "Drought-Net", "Public Health", "International Drought Experiment", "Ciclo del Carbono", "Severidad de la Sequ\u00eda", "Global Impacts", "productivity", "Climate Change", "climate extreme", "333", "Carbon Cycle", "Environmental Public Health", "XXXXXX - Unknown", "Impacto Global", "Scrublands", "General", "Biology", "Ecosystem", "Experimento internacional de Sequ\u00eda", "500", "Receptor Protein-Tyrosine Kinases", "15. Life on land", "Clima Extremo", "Climate Science", "13. Climate action", "Cambio Clim\u00e1tico", "Extreme Climate", "Climate extreme", "Klimatvetenskap"]}, "links": [{"href": "https://boris.unibe.ch/191349/1/smith-et-al-2024-extreme-drought-impacts-have-been-underestimated-in-grasslands-and-shrublands-globally.pdf"}, {"href": "https://escholarship.org/content/qt9b707158/qt9b707158.pdf"}, {"href": "https://doi.org/1959.7/uws:76872"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:76872", "name": "item", "description": "1959.7/uws:76872", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:76872"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-08T00:00:00Z"}}, {"id": "20.500.12123/8054", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-26T16:29:18Z", "type": "Journal Article", "created": "2020-05-20", "title": "Machine learning in space and time for modelling soil organic carbon change", "description": "Abstract                                                             <p>                       Spatially resolved estimates of change in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at achieving land degradation neutrality and climate change mitigation. In this work we report on the development, implementation and application of a data\uffe2\uff80\uff90driven, statistical method for mapping SOC stocks in space and time, using Argentina as a pilot. We used quantile regression forest machine learning to predict annual SOC stock at 0\uffe2\uff80\uff9330\uffe2\uff80\uff89cm depth at 250\uffe2\uff80\uff89m resolution for Argentina between 1982 and 2017. The model was calibrated using over 5,000 SOC stock values from the 36\uffe2\uff80\uff90year time period and 35 environmental covariates. We preprocessed normalized difference vegetation index (NDVI) dynamic covariates using a temporal low\uffe2\uff80\uff90pass filter to allow the SOC stock for a given year to depend on the NDVI of the current as well as preceding years. Predictions had modest temporal variation, with an average decrease for the entire country from 2.55 to 2.48\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m                       \uffe2\uff88\uff922                       over the 36\uffe2\uff80\uff90year period (equivalent to a decline of 211 Gg C, 3.0% of the total 0\uffe2\uff80\uff9330\uffe2\uff80\uff89cm SOC stock in Argentina). The Pampa region had a larger estimated SOC stock decrease from 4.62 to 4.34\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m                       \uffe2\uff88\uff922                       (5.9%) during the same period. For the 2001\uffe2\uff80\uff932015 period, predicted temporal variation was seven\uffe2\uff80\uff90fold larger than that obtained using the Tier 1 approach of the Intergovernmental Panel on Climate Change and United Nations Convention to Combat Desertification. Prediction uncertainties turned out to be substantial, mainly due to the limited number and poor spatial and temporal distribution of the calibration data, and the limited explanatory power of the covariates. Cross\uffe2\uff80\uff90validation confirmed that SOC stock prediction accuracy was limited, with a mean error of 0.03\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m                       \uffe2\uff88\uff922                       and a root mean squared error of 2.04\uffe2\uff80\uff89kg\uffe2\uff80\uff89C\uffe2\uff80\uff89m                       \uffe2\uff88\uff922                       . In spite of the large uncertainties, this work showed that machine learning methods can be used for space\uffe2\uff80\uff93time SOC mapping and may yield valuable information to land managers and policymakers, provided that SOC observation density in space and time is sufficiently large.                     </p>                                                           Highlights                     <p>                                                                           <p>We tested the use of machine learning for space\uffe2\uff80\uff93time mapping of soil organic carbon (SOC) stock.</p>                                                                             <p>Predictions for Argentina from 1982 to 2017 showed a 3% decrease of the topsoil SOC stock over time.</p>                                                                             <p>The machine learning model predicted a greater temporal variation than the IPCC Tier 1 approach.</p>                                                                             <p>Accurate machine learning SOC stock prediction requires dense soil sampling in space and time.</p>                                                                     </p>", "keywords": ["Estimaci\u00f3n de las Existencias de Carbono", "2. Zero hunger", "quantile regression forest", "land degradation", "Climate Change", "carbon stock", "Argentina", "Carbon Stock Assessments", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Space-time Mapping", "space\u2013time mapping", "climate change", "Bosque de Regresi\u00f3n de Cuantiles", "13. Climate action", "Cambio Clim\u00e1tico", "Land Degradation", "Quantile Regression Rorest", "0401 agriculture", " forestry", " and fisheries", "Mapeo Espacio-tiempo", "Degradaci\u00f3n de Tierras", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.12998"}, {"href": "https://doi.org/20.500.12123/8054"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12123/8054", "name": "item", "description": "20.500.12123/8054", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12123/8054"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-30T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=tierras&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=tierras&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=tierras&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=tierras&offset=16", "hreflang": "en-US"}], "numberMatched": 16, "numberReturned": 16, "distributedFeatures": [], "timeStamp": "2026-06-26T19:24:09.034714Z"}