{"type": "FeatureCollection", "features": [{"id": "10.1088/1748-9326/aaeae7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:17Z", "type": "Journal Article", "created": "2018-10-24", "title": "Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling", "description": "Open AccessA wide range of research shows that nutrient availability strongly influences terrestrial carbon (C) cycling and shapes ecosystem responses to environmental changes and hence terrestrial feedbacks to climate. Nonetheless, our understanding of nutrient controls remains far from complete and poorly quantified, at least partly due to a lack of informative, comparable, and accessible datasets at regional-to-global scales. A growing research infrastructure of multi-site networks are providing valuable data on C fluxes and stocks and are monitoring their responses to global environmental change and measuring responses to experimental treatments. These networks thus provide an opportunity for improving our understanding of C-nutrient cycle interactions and our ability to model them. However, coherent information on how nutrient cycling interacts with observed C cycle patterns is still generally lacking. Here, we argue that complementing available C-cycle measurements from monitoring and experimental sites with data characterizing nutrient availability will greatly enhance their power and will improve our capacity to forecast future trajectories of terrestrial C cycling and climate. Therefore, we propose a set of complementary measurements that are relatively easy to conduct routinely at any site or experiment and that, in combination with C cycle observations, can provide a robust characterization of the effects of nutrient availability across sites. In addition, we discuss the power of different observable variables for informing the formulation of models and constraining their predictions. Most widely available measurements of nutrient availability often do not align well with current modelling needs. This highlights the importance to foster the interaction between the empirical and modelling communities for setting future research priorities.", "keywords": ["Global vegetation models", "550", "manipulation experiments", "Terrestrial-Aquatic Linkages", "Kolefni", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "SDG 13 - Climate Action", "Climate change", "Jar\u00f0vegur", "Environmental resource management", "Global change", "General Environmental Science", "SDG 15 - Life on Land", "Carbon-nutrient cycle interactions", "2. Zero hunger", "Data syntheses", "Global and Planetary Change", "Ecology", "Geography", "Physics", "Life Sciences", "Application of Stable Isotopes in Trophic Ecology", "Cycling", "Carbon cycle", "04 agricultural and veterinary sciences", "Chemistry", "ORGANIC-MATTER", "Archaeology", "Physical Sciences", "Nutrient availability", "NET PRIMARY PRODUCTIVITY", "Ecosystem Functioning", "570", "LAND", "TROPICAL RAIN-FOREST", "carbon-nutrient cycle interactions", "data syntheses", "Soil Science", "Environmental science", "[SDU] Sciences of the Universe [physics]", "SOIL-PHOSPHORUS AVAILABILITY", "global vegetation models", "SDG 3 - Good Health and Well-being", "nutrients", "USE EFFICIENCY", "SDG 7 - Affordable and Clean Energy", "GLOBAL CHANGE", "Key (lock)", "Biology", "Ecosystem", "Manipulation experiments", "0105 earth and related environmental sciences", "Renewable Energy", " Sustainability and the Environment", "Ecosystem Structure", "Public Health", " Environmental and Occupational Health", "Nutrients", "15. Life on land", "Computer science", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "ECOSYSTEM RESPONSES", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "NITROGEN-FIXATION", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient Limitation", "ELEVATED CO2", "Nutrient"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aaeae7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aaeae7", "name": "item", "description": "10.1088/1748-9326/aaeae7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aaeae7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-07T00:00:00Z"}}, {"id": "10.1088/1748-9326/aaeb5f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:17Z", "type": "Journal Article", "created": "2018-10-25", "title": "Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems", "description": "Open AccessLos sistemas agroforestales comprenden \u00e1rboles y cultivos, o \u00e1rboles y pastos dentro del mismo campo. A nivel mundial, cubren aproximadamente mil millones de hect\u00e1reas de tierra y contribuyen a los medios de vida de m\u00e1s de 900 millones de personas. Los sistemas agroforestales tienen la capacidad de secuestrar grandes cantidades de carbono (C) tanto en el suelo como en la biomasa. Sin embargo, estos sistemas a\u00fan no se han considerado completamente en el enfoque de la contabilidad C desarrollado por el Grupo Intergubernamental de Expertos sobre el Cambio Clim\u00e1tico, en gran parte debido a la alta diversidad de los sistemas agroforestales y la escasez de datos relevantes. Nuestra revisi\u00f3n de la literatura identific\u00f3 un total de 72 art\u00edculos cient\u00edficos revisados por pares asociados con el almacenamiento de biomasa C (50) y con el carbono org\u00e1nico del suelo (SOC) (122), que contienen un total de 542 observaciones (324 y 218, respectivamente). Con base en una s\u00edntesis de las observaciones informadas, presentamos un conjunto de coeficientes de Nivel 1 para el almacenamiento de biomasa C para cada uno de los ocho sistemas agroforestales principales identificados, incluidos cultivos en callejones, barbechos, setos, multiestratos, parques, cultivos perennes sombreados, silvoarables y sistemas silvopastoriles, desglosados por clima y regi\u00f3n. Utilizando la misma clasificaci\u00f3n agroforestal, presentamos un conjunto de factores de cambio de stock (FLU) y tasas de acumulaci\u00f3n/p\u00e9rdida de COS para tres cambios principales en el uso de la tierra (Luc): de tierras de cultivo a agroforester\u00eda; de bosques a agroforester\u00eda; y de pastizales a agroforester\u00eda. A nivel mundial, los factores medios de cambio de stock SOC (\u00b1 intervalos de confianza) se estimaron en 1,25 \u00b1 0,04, 0,89 \u00b1 0,07 y 1,19 \u00b1 0,10, para los tres LUC principales, respectivamente. Sin embargo, estos coeficientes promedio ocultan enormes disparidades entre y dentro de diferentes climas, regiones y tipos de sistemas agroforestales, lo que destaca la necesidad de adoptar los coeficientes m\u00e1s desagregados que se proporcionan en este documento. Alentamos a los gobiernos nacionales a sintetizar datos de experimentos de campo locales para generar factores espec\u00edficos de cada pa\u00eds para una estimaci\u00f3n m\u00e1s s\u00f3lida de la biomasa y el almacenamiento de COS.", "keywords": ["emission factor", "Carbon sequestration", "Biomass (ecology)", "F08 - Syst\u00e8mes et modes de culture", "Environmental technology. Sanitary engineering", "climate change mitigation", "Agricultural and Biological Sciences", "Climate change mitigation", "http://aims.fao.org/aos/agrovoc/c_7427", "Agroforestry Systems and Biodiversity Enhancement", "Soil water", "11. Sustainability", "Climate change", "GE1-350", "TD1-1066", "http://aims.fao.org/aos/agrovoc/c_35657", "agroforesterie", "2. Zero hunger", "changement climatique", "Global and Planetary Change", "Geography", "Ecology", "Physics", "Q", "Life Sciences", "Forestry", "Agriculture", "04 agricultural and veterinary sciences", "Soil carbon", "http://aims.fao.org/aos/agrovoc/c_207", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_926", "Archaeology", "http://aims.fao.org/aos/agrovoc/c_4182", "Physical Sciences", "Ecosystem Functioning", "mati\u00e8re organique du sol", "P33 - Chimie et physique du sol", "land use change", "P40 - M\u00e9t\u00e9orologie et climatologie", "Science", "QC1-999", "stockage", "Soil Science", "utilisation des terres", "Environmental science", "biomasse", "Ecosystem services", "http://aims.fao.org/aos/agrovoc/c_1666", "http://aims.fao.org/aos/agrovoc/c_1301", "Agroforestry", "Soil Carbon Sequestration", "Biology", "Land use", " land-use change and forestry", "Ecosystem", "Soil science", "15. Life on land", "http://aims.fao.org/aos/agrovoc/c_331583", "carbon sequestration", "Agronomy", "Environmental sciences", "Carbon dioxide", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries", "carbone", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Drivers and Impacts of Tropical Deforestation"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aaeb5f"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aaeb5f", "name": "item", "description": "10.1088/1748-9326/aaeb5f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aaeb5f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-14T00:00:00Z"}}, {"id": "10.1088/1748-9326/ab239c", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:17Z", "type": "Journal Article", "created": "2019-05-30", "title": "Global soil acidification impacts on belowground processes", "description": "Abstract                <p>With continuous nitrogen (N) enrichment and sulfur (S) deposition, soil acidification has accelerated and become a global environmental issue. However, a full understanding of the general pattern of ecosystem belowground processes in response to soil acidification due to the impacting factors remains elusive. We conducted a meta-analysis of soil acidification impacts on belowground functions using 304 observations from 49 independent studies, mainly including soil cations, soil nutrient, respiration, root and microbial biomass. Our results show that acid addition significantly reduced soil pH by 0.24 on average, with less pH decrease in forest than non-forest ecosystems. The response ratio of soil pH was positively correlated with site precipitation and temperature, but negatively with initial soil pH. Soil base cations (Ca2+, Mg2+, Na+) decreased while non-base cations (Al3+, Fe3+) increased with soil acidification. Soil respiration, fine root biomass, microbial biomass carbon and nitrogen were significantly reduced by 14.7%, 19.1%, 9.6% and 12.1%, respectively, under acid addition. These indicate that soil carbon processes are sensitive to soil acidification. Overall, our meta-analysis suggests a strong negative impact of soil acidification on belowground functions, with the potential to suppress soil carbon emission. It also arouses our attention to the toxic effects of soil ions on terrestrial ecosystems.</p>", "keywords": ["Biomass (ecology)", "Organic chemistry", "Soil pH", "soil respiration", "Environmental technology. Sanitary engineering", "Agricultural and Biological Sciences", "Engineering", "Terrestrial ecosystem", "Soil water", "Climate change", "GE1-350", "TD1-1066", "Ecology", "Physics", "Soil Water Retention", "Ocean acidification", "Q", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "Soil carbon", "6. Clean water", "Chemistry", "Physical Sciences", "Environmental chemistry", "soil cations", "microbes", "Mechanics and Transport in Unsaturated Soils", "Nitrogen", "Science", "QC1-999", "Materials Science", "Soil Science", "Thermal Effects on Soil", "Environmental science", "Biomaterials", "soil pH", "acid deposition", "Soil Carbon Sequestration", "Biology", "Soil acidification", "Ecosystem", "Civil and Structural Engineering", "Applications of Clay Nanotubes in Various Fields", "Soil science", "Soil organic matter", "Soil Fertility", "15. Life on land", "Soil biodiversity", "Agronomy", "meta-analysis", "Environmental sciences", "Soil Hydraulic Properties", "13. Climate action", "FOS: Biological sciences", "Bulk soil", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/ab239c"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/ab239c", "name": "item", "description": "10.1088/1748-9326/ab239c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/ab239c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1093/nsr/nwab120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:21Z", "type": "Journal Article", "created": "2021-06-29", "title": "Significant loss of soil inorganic carbon at the continental scale", "description": "Abstract                <p>Widespread soil acidification due to atmospheric acid deposition and agricultural fertilization may greatly accelerate soil carbonate dissolution and CO2 release. However, to date, few studies have addressed these processes. Here, we use meta-analysis and nationwide-survey datasets to investigate changes in soil inorganic carbon (SIC) stocks in China. We observe an overall decrease in SIC stocks in topsoil (0\uffe2\uff80\uff9330\uffc2\uffa0cm) (11.33\uffc2\uffa0g C m\uffe2\uff80\uff932 yr\uffe2\uff80\uff931) from the 1980s to the 2010s. Total SIC stocks have decreased by \uffe2\uff88\uffbc8.99\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.24% (1.37\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.37\uffc2\uffa0Pg C). The average SIC losses across China (0.046 Pg C yr\uffe2\uff80\uff931) and in cropland (0.016 Pg C yr\uffe2\uff80\uff931) account for \uffe2\uff88\uffbc17.6%\uffe2\uff80\uff9324.0% of the terrestrial C sink and 57.1% of the soil organic carbon sink in cropland, respectively. Nitrogen deposition and climate change have profound influences on SIC cycling. We estimate that \uffe2\uff88\uffbc19.12%\uffe2\uff80\uff9319.47% of SIC stocks will be further lost by 2100. The consumption of SIC may offset a large portion of global efforts aimed at ecosystem carbon sequestration, which emphasizes the importance of achieving a better understanding of the indirect coupling mechanisms of nitrogen and carbon cycling and of effective countermeasures to minimize SIC loss.</p", "keywords": ["Carbon sequestration", "Cartography", "China", "Mechanics and Transport in Unsaturated Soils", "Carbonate", "Nitrogen", "Soil Science", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "soil inorganic carbon stocks", "Soil pH", "Environmental science", "Carbon sink", "Agricultural and Biological Sciences", "carbonate", "Engineering", "Soil water", "Soil Carbon Sequestration", "Biology", "global change", "Ecosystem", "Soil acidification", "Civil and Structural Engineering", "Soil science", "2. Zero hunger", "Soil organic matter", "Soil Fertility", "Ecology", "Geography", "Soil Water Retention", "Life Sciences", "Cycling", "Forestry", "Carbon cycle", "04 agricultural and veterinary sciences", "15. Life on land", "Topsoil", "Soil carbon", "Chemistry", "Sink (geography)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Environmental chemistry", "0401 agriculture", " forestry", " and fisheries", "soil acidification", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Research Article"]}, "links": [{"href": "https://doi.org/10.1093/nsr/nwab120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/National%20Science%20Review", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/nsr/nwab120", "name": "item", "description": "10.1093/nsr/nwab120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/nsr/nwab120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-02T00:00:00Z"}}, {"id": "10.1109/isit.2019.8849847", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:31Z", "type": "Journal Article", "created": "2019-09-26", "title": "Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement", "description": "Open AccessTandem-duplication-random-loss (TDRL) is an important genome rearrangement operation studied in evolutionary biology. This paper investigates some of the formal properties of TDRL operations on the symmetric group (the space of permutations over an $ n $-set). In particular, the cardinality of `balls' of radius one in the TDRL metric, as well as the cardinality of the maximum intersection of two such balls, are determined. The corresponding problems for the so-called mirror (or palindromic) TDRL rearrangement operations are also solved. The results represent an initial step in the study of error correction and reconstruction problems in this context and are of potential interest in DNA-based data storage applications.", "keywords": ["genome rearrangement", "sequence reconstruction", "Genomics (q-bio.GN)", "FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "DNA storage", "Computer Science - Information Theory", "Information Theory (cs.IT)", "0102 computer and information sciences", "02 engineering and technology", "permutation", "Quantitative Biology - Quantitative Methods", "01 natural sciences", "05A05", " 68R05", " 92B99", " 92D20", " 94B25", "error-correcting code", "FOS: Biological sciences", "0202 electrical engineering", " electronic engineering", " information engineering", "Tandem-duplication-random-loss", "Quantitative Biology - Genomics", "Quantitative Methods (q-bio.QM)", "Computer Science - Discrete Mathematics"], "contacts": [{"organization": "Kova\u010devi\u0107, Mladen, Brdar, Sanja, Crnojevi\u0107, Vladimir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1109/isit.2019.8849847"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2019%20IEEE%20International%20Symposium%20on%20Information%20Theory%20%28ISIT%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/isit.2019.8849847", "name": "item", "description": "10.1109/isit.2019.8849847", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/isit.2019.8849847"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-01T00:00:00Z"}}, {"id": "10.1111/gcb.15120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:18:41Z", "type": "Journal Article", "created": "2020-05-15", "title": "Changes in soil organic carbon under perennial crops", "description": "Abstract<p>This study evaluates the dynamics of soil organic carbon (SOC) under perennial crops across the globe. It quantifies the effect of change from annual to perennial crops and the subsequent temporal changes in SOC stocks during the perennial crop cycle. It also presents an empirical model to estimate changes in the SOC content under crops as a function of time, land use, and site characteristics. We used a harmonized global dataset containing paired\uffe2\uff80\uff90comparison empirical values of SOC and different types of perennial crops (perennial grasses, palms, and woody plants) with different end uses: bioenergy, food, other bio\uffe2\uff80\uff90products, and short rotation coppice. Salient outcomes include: a 20\uffe2\uff80\uff90year period encompassing a change from annual to perennial crops led to an average 20% increase in SOC at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (6.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0Mg/ha gain) and a total 10% increase over the 0\uffe2\uff80\uff93100\uffc2\uffa0cm soil profile (5.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa010.9\uffc2\uffa0Mg/ha). A change from natural pasture to perennial crop decreased SOC stocks by 1% over 0\uffe2\uff80\uff9330\uffc2\uffa0cm (\uffe2\uff88\uff922.5\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.2\uffc2\uffa0Mg/ha) and 10% over 0\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9213.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08.9\uffc2\uffa0Mg/ha). The effect of a land use change from forest to perennial crops did not show significant impacts, probably due to the limited number of plots; but the data indicated that while a 2% increase in SOC was observed at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (16.81\uffc2\uffa0\uffc2\uffb1\uffc2\uffa055.1\uffc2\uffa0Mg/ha), a decrease in 24% was observed at 30\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9240.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa016.8\uffc2\uffa0Mg/ha). Perennial crops generally accumulate SOC through time, especially woody crops; and temperature was the main driver explaining differences in SOC dynamics, followed by crop age, soil bulk density, clay content, and depth. We present empirical evidence showing that the FAO perennialization strategy is reasonable, underscoring the role of perennial crops as a useful component of climate change mitigation strategies.</p", "keywords": ["MISCANTHUS", "QH301 Biology", "Carbon Dynamics in Peatland Ecosystems", "SEQUESTRATION", "01 natural sciences", "630", "BIOMASS", "862695", "Agricultural and Biological Sciences", "Soil", "NE/M021327/1", "woody crops", "Soil water", "SDG 13 - Climate Action", "Development and Impacts of Bioenergy Crops", "STOCKS", "NE/N017854/1", "SDG 15 - Life on Land", "General Environmental Science", "agriculture", "2. Zero hunger", "Global and Planetary Change", "CLIMATE-CHANGE", "Ecology", "NE/P019455/1", "Life Sciences", "Agriculture", "LAND-USE CHANGE", "04 agricultural and veterinary sciences", "fruit crops", "Soil carbon", "NE/M016900/1", "Physical Sciences", "emission factors", "DECOMPOSITION", "land use change", "Crops", " Agricultural", "Carbon Sequestration", "610", "Soil Science", "Environmental science", "arable crops", "QH301", "FOOD", "TEMPERATURE SENSITIVITY", "Environmental Chemistry", "774378", "Agroforestry", "European Commission", "Biology", "carbon crops", "Land use", " land-use change and forestry", "0105 earth and related environmental sciences", "carbon balance", "Soil science", "Soil Fertility", "Natural Environment Research Council (NERC)", "15. Life on land", "Carbon", "Perennial plant", "Agronomy", "meta-analysis", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "MATTER", "Agronomy and Crop Science"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15120"}, {"href": "https://doi.org/10.1111/gcb.15120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.15120", "name": "item", "description": "10.1111/gcb.15120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.15120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-15T00:00:00Z"}}, {"id": "10.1186/s13570-014-0018-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:20Z", "type": "Journal Article", "created": "2014-11-24", "title": "Control Of Bush Encroachment In Borana Zone Of Southern Ethiopia: Effects Of Different Control Techniques On Rangeland Vegetation And Tick Populations", "description": "Open AccessA study on effects of bush encroachment control techniques on rangeland productivity and tick population dynamics was conducted in Arero district of Borana zone, southern Ethiopia, for three consecutive years. The study targeted two main and dominant encroaching bush species in Borana rangeland, Acacia drepanolobium and Acacia mellifera, and their effects on some vegetation attributes and tick population dynamics. A hectare of rangeland encroached by these two acacia species was replicated/divided into three plots, and each plot was subdivided into five sub-plots to receive five treatments: cutting at 0.5 m above ground and pouring kerosene on stumps (T1), cutting at 0.5 m above ground and debarking the stumps down into the soil surface (T2), cutting at 0.5 m above ground alone (T3), cutting at 0.5 m above ground and dissecting the stumps (T4) and control (T5). Data on basal and litter covers, soil erosion and compaction, dead and re-sprouted encroaching tree/shrub species and nymph- and adult-stage tick populations were collected before and after treatment applications. The applied treatments significantly influenced (p < 0.05) basal cover, nymph- and adult-stage tick population and the two encroaching tree species. The results of this study showed that T3 and T2 were good in controlling A. drepanolobium in that order. T4 and T2 had a significant effect in controlling A. mellifera in their order. Controlling bush encroachment had also a positive effect in eradicating the tick population. The most dominant grass and non-grass species observed after the control actions were Cenchrus ciliaris, Chrysopogon aucheri, Abutilon hirtum, Pennisetum mezianum, Dyschoriste hildebrandtii, Zaleya pentandra and Eragrostis papposa. Therefore, controlling encroaching tree/shrub species had created a conducive grazing area with palatable herbaceous species for the livestock and unequivocally reduced tick population which play a role in reducing cattle milk production through closing off teats. The management of bush encroachment, if sustained, will contribute in stabilizing rangelands and help minimize the negative effects of feed and food crises in the future.", "keywords": ["0106 biological sciences", "Population", "Lantana", "Management", " Monitoring", " Policy and Law", "01 natural sciences", "Basal area", "Agricultural and Biological Sciences", "Rangeland Degradation", "Sociology", "Agroforestry Systems and Biodiversity Enhancement", "Rangeland Degradation and Pastoral Livelihoods", "Pathology", "Agroforestry", "Biology", "Demography", "0105 earth and related environmental sciences", "2. Zero hunger", "Ecology", "Life Sciences", "Forestry", "Factors Affecting Sagebrush Ecosystems and Wildlife Conservation", "15. Life on land", "Agronomy", "6. Clean water", "FOS: Sociology", "Shrub", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "Rangeland", "Vegetation (pathology)", "Tick"], "contacts": [{"organization": "Bikila Negasa, Bedasa Eba, Samuel Tuffa, Barecha Bayissa, Jaldesa Doyo, N. Van Husen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1186/s13570-014-0018-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Pastoralism", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s13570-014-0018-1", "name": "item", "description": "10.1186/s13570-014-0018-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s13570-014-0018-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-25T00:00:00Z"}}, {"id": "10.1186/s13071-022-05581-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:20Z", "type": "Journal Article", "created": "2023-03-01", "title": "The pipeline for drugs for control and elimination of neglected tropical diseases: 1. Anti-infective drugs for regulatory registration", "description": "Abstract<p>The World Health Organization \uffe2\uff80\uff98Ending the neglect to attain the Sustainable Development Goals: A road map for neglected tropical diseases 2021\uffe2\uff80\uff932030\uffe2\uff80\uff99 outlines the targets for control and elimination of neglected tropical diseases (NTDs). New drugs are needed to achieve some of them. We are providing an overview of the pipeline for new anti-infective drugs for regulatory registration and steps to effective use for NTD control and elimination. Considering drugs approved for an NTD by at least one stringent regulatory authority: fexinidazole, included in WHO guidelines for Trypanosoma brucei gambiense African trypanosomiasis, is in development for Chagas disease. Moxidectin, registered in 2018 for treatment of individuals\uffe2\uff80\uff89\uffe2\uff89\uffa5\uffe2\uff80\uff8912\uffc2\uffa0years old with onchocerciasis, is undergoing studies to extend the indication to 4\uffe2\uff80\uff9311-year-old children and obtain additional data to inform WHO and endemic countries' decisions on moxidectin inclusion in guidelines and policies. Moxidectin is also being evaluated for other NTDs. Considering drugs in at least Phase 2 clinical development, a submission is being prepared for registration of acoziborole as an oral treatment for first and second stage T.b. gambiense African trypanosomiasis. Bedaquiline, registered for tuberculosis, is being evaluated for multibacillary leprosy. Phase 2 studies of emodepside and flubentylosin in O. volvulus-infected individuals are ongoing; studies for Trichuris trichuria and hookworm are planned. A trial of fosravuconazole in Madurella mycetomatis-infected patients is ongoing. JNJ-64281802 is undergoing Phase 2 trials for reducing dengue viral load. Studies are ongoing or planned to evaluate oxantel pamoate for onchocerciasis and soil-transmitted helminths, including Trichuris, and oxfendazole for onchocerciasis, Fasciola hepatica, Taenia solium cysticercosis, Echinococcus granulosus and soil-transmitted helminths, including Trichuris. Additional steps from first registration to effective use for NTD control and elimination include country registrations, possibly additional studies to inform WHO guidelines and country policies, and implementation research to address barriers to effective use of new drugs. Relative to the number of people suffering from NTDs, the pipeline is small. Close collaboration and exchange of experience among all stakeholders developing drugs for NTDs may increase the probability that the current pipeline will translate into new drugs effectively implemented in affected countries.</p>                 <p>Graphical Abstract</p", "keywords": ["Tropical disease", "Neglected topical diseases", "Bedaquiline", "Veterinary medicine", "Immunology", "610", "Drug development", "Infectious and parasitic diseases", "RC109-216", "Review", "613", "FOS: Health sciences", "Pharmaceutical technology", "Onchocerciasis", "Moxidectin", "Flubentylosin", "Global Impact of Helminth Infections and Control Strategies", "Ecological Interactions of Parasites in Ecosystems", "Acoziborole", "Anti-Infective Agents", "Tropical medicine", "Trypanosomiasis", "Health Sciences", "Pathology", "Animals", "Disease", "African trypanosomiasis", "Emodepside", "Biology", "Internal medicine", "Parasitic Diseases and Treatment Strategies", "Neglected tropical diseases", "Immunology and Microbiology", "Ivermectin", "Ecology", "FOS: Clinical medicine", "Life Sciences", "3. Good health", "Malaria", "Trypanosomiasis", " African", "Infectious Diseases", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Medicine", "Parasitology", "Macrolides", "Neglected Tropical Diseases"]}, "links": [{"href": "https://strathprints.strath.ac.uk/84547/1/Pfarr_etal_PV_2023_Anti_infective_drugs_for_regulatory_registration.pdf"}, {"href": "https://doi.org/10.1186/s13071-022-05581-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Parasites%20%26amp%3B%20Vectors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s13071-022-05581-4", "name": "item", "description": "10.1186/s13071-022-05581-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s13071-022-05581-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-01T00:00:00Z"}}, {"id": "10.1126/sciadv.adj8016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:09Z", "type": "Journal Article", "created": "2023-11-29", "title": "Connecting the multiple dimensions of global soil fungal diversity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>How the multiple facets of soil fungal diversity vary worldwide remains virtually unknown, hindering the management of this essential species-rich group. By sequencing high-resolution DNA markers in over 4000 topsoil samples from natural and human-altered ecosystems across all continents, we illustrate the distributions and drivers of different levels of taxonomic and phylogenetic diversity of fungi and their ecological groups. We show the impact of precipitation and temperature interactions on local fungal species richness (alpha diversity) across different climates. Our findings reveal how temperature drives fungal compositional turnover (beta diversity) and phylogenetic diversity, linking them with regional species richness (gamma diversity). We integrate fungi into the principles of global biodiversity distribution and present detailed maps for biodiversity conservation and modeling of global ecological processes.</p></article>", "keywords": ["Supplementary Data", "biodiversity", " fungi", " ecology", "QH301 Biology", "Diversity (politics)", "Plant Science", "Biodiversity conservation", "Fungal Diversity", "Agricultural and Biological Sciences", "Soil", "Life", "Sociology", "WATER", "Global biodiversity distribution", "Fungal diversity", "Phylogeny", "Soil Microbiology", "2. Zero hunger", "Multidisciplinary", "Earth", " Environmental", " Ecological", " and Space Sciences", "Geography", "Ecology", "soil fungal diversity", "4. Education", "SPECIES RICHNESS", "Life Sciences", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_sm.pdf", "Biodiversity", "FOS: Sociology", "global biodiversity distribution", "sienet", "https://www.science.org/doi/suppl/10.1126/sciadv.adj8016/suppl_file/sciadv.adj8016_tables_s1_to_s13.zip", "Diversity and Evolution of Fungal Pathogens", "570", "Supplementary Information", "DNA markers", "QH301", "Sequencing high-resolution DNA", "Biochemistry", " Genetics and Molecular Biology", "monimuotoisuus", "Mycorrhizal Fungi and Plant Interactions", "Life Science", "Humans", "14. Life underwater", "General", "Global ecological processes", "Biology", "Ecosystem", "Ecology", " Evolution", " Behavior and Systematics", "global ecological processes", "Soil fungal diversity", "microbiology", "Fungi", "Water", "Cell Biology", "15. Life on land", "luonnon monimuotoisuus", "Agronomy", "biodiversiteetti", "LIFE", "ekosysteemit (ekologia)", "Evolution and Ecology of Endophyte-Grass Symbiosis", "13. Climate action", "Ecology", " evolutionary biology", "Earth and Environmental Sciences", "FOS: Biological sciences", "Anthropology", "ta1181", "biodiversity conservation", "Species richness"]}, "links": [{"href": "https://www.science.org/doi/epdf/10.1126/sciadv.adj8016"}, {"href": "https://www.science.org/doi/pdf/10.1126/sciadv.adj8016"}, {"href": "https://doi.org/10.1126/sciadv.adj8016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20Advances", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1126/sciadv.adj8016", "name": "item", "description": "10.1126/sciadv.adj8016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1126/sciadv.adj8016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1371/journal.pone.0109063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:29Z", "type": "Journal Article", "created": "2015-10-14", "title": "Managing Semi-Arid Rangelands For Carbon Storage: Grazing And Woody Encroachment Effects On Soil Carbon And Nitrogen", "description": "Open AccessHigh grazing intensity and wide-spread woody encroachment may strongly alter soil carbon (C) and nitrogen (N) pools. However, the direction and quantity of these changes have rarely been quantified in East African savanna ecosystem. As shifts in soil C and N pools might further potentially influence climate change mitigation, we quantified and compared soil organic carbon (SOC) and total soil nitrogen (TSN) content in enclosures and communal grazing lands across varying woody cover i.e. woody encroachment levels. Estimated mean SOC and TSN stocks at 0-40 cm depth varied across grazing regimes and among woody encroachment levels. The open grazing land at the heavily encroached site on sandy loam soil contained the least SOC (30 \u00b1 2.1 Mg ha-1) and TSN (5 \u00b1 0.57 Mg ha-1) while the enclosure at the least encroached site on sandy clay soil had the greatest mean SOC (81.0 \u00b1 10.6 Mg ha-1) and TSN (9.2 \u00b1 1.48 Mg ha-1). Soil OC and TSN did not differ with grazing exclusion at heavily encroached sites, but were twice as high inside enclosure compared to open grazing soils at low encroached sites. Mean SOC and TSN in soils of 0-20 cm depth were up to 120% higher than that of the 21-40 cm soil layer. Soil OC was positively related to TSN, cation exchange capacity (CEC), but negatively related to sand content. Our results show that soil OC and TSN stocks are affected by grazing, but the magnitude is largely influenced by woody encroachment and soil texture. We suggest that improving the herbaceous layer cover through a reduction in grazing and woody encroachment restriction are the key strategies for reducing SOC and TSN losses and, hence, for climate change mitigation in semi-arid rangelands.", "keywords": ["Cation-exchange capacity", "01 natural sciences", "nitrogen", "Agricultural and Biological Sciences", "Soil", "Biodiversity Conservation and Ecosystem Management", "Soil water", "Rangeland Degradation and Pastoral Livelihoods", "2. Zero hunger", "Ecology", "Q", "R", "Life Sciences", "04 agricultural and veterinary sciences", "Wood", "Soil carbon", "Droughts", "Grazing", "climate change", "Physical Sciences", "Medicine", "Rangeland", "Research Article", "Conservation of Natural Resources", "Nitrogen", "Science", "Plant Development", "Soil Science", "Management", " Monitoring", " Policy and Law", "Environmental science", "soil", "savannas", "Animals", "grazing", "Agroforestry", "Woody plant", "Soil Carbon Sequestration", "Biology", "Ecosystem", "Nature and Landscape Conservation", "0105 earth and related environmental sciences", "ecosystem", "Soil science", "Soil Fertility", "carbon", "Research Subject Categories::NATURAL SCIENCES", "Feeding Behavior", "15. Life on land", "Carbon", "Loam", "Agronomy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0109063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0109063", "name": "item", "description": "10.1371/journal.pone.0109063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0109063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-13T00:00:00Z"}}, {"id": "10.1155/2014/437283", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:16Z", "type": "Journal Article", "created": "2014-08-14", "title": "Effect Of Tillage Practices On Soil Properties And Crop Productivity In Wheat-Mungbean-Rice Cropping System Under Subtropical Climatic Conditions", "description": "<p>This study was conducted to know cropping cycles required to improve OM status in soil and to investigate the effects of medium-term tillage practices on soil properties and crop yields in Grey Terrace soil of Bangladesh under wheat-mungbean-T.amancropping system. Four different tillage practices, namely, zero tillage (ZT), minimum tillage (MT), conventional tillage (CT), and deep tillage (DT), were studied in a randomized complete block (RCB) design with four replications. Tillage practices showed positive effects on soil properties and crop yields. After four cropping cycles, the highest OM accumulation, the maximum root mass density (0\uffe2\uff80\uff9315\uffe2\uff80\uff89cm soil depth), and the improved physical and chemical properties were recorded in the conservational tillage practices. Bulk and particle densities were decreased due to tillage practices, having the highest reduction of these properties and the highest increase of porosity and field capacity in zero tillage. The highest total N, P, K, and S in their available forms were recorded in zero tillage. All tillage practices showed similar yield after four years of cropping cycles. Therefore, we conclude that zero tillage with 20% residue retention was found to be suitable for soil health and achieving optimum yield under the cropping system in Grey Terrace soil (Aeric Albaquept).</p>", "keywords": ["No-till farming", "Technology", "Climate", "Cropping", "Mulch-till", "Crop", "Plant Roots", "Agricultural and Biological Sciences", "Soil", "Management of Soil Fertility and Crop Productivity", "Soil water", "Triticum", "2. Zero hunger", "Bangladesh", "Minimum tillage", "Soil Physical Properties", "Ecology", "T", "Q", "Soil Quality", "R", "Life Sciences", "Fabaceae", "Phosphorus", "Agriculture", "04 agricultural and veterinary sciences", "6. Clean water", "Soil Compaction", "Medicine", "Research Article", "Crops", " Agricultural", "Nitrogen", "Science", "Soil Science", "Soil fertility", "Crop Productivity", "Environmental science", "Tillage", "Randomized block design", "FOS: Mathematics", "Crop yield", "Particle Size", "Biology", "Soil science", "Analysis of Variance", "Soil Fertility", "Effects of Soil Compaction on Crop Production", "Conventional tillage", "Oryza", "15. Life on land", "Agronomy", "Bulk density", "FOS: Biological sciences", "Potassium", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Sulfur", "Mathematics", "Cropping system"]}, "links": [{"href": "https://doi.org/10.1155/2014/437283"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Scientific%20World%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1155/2014/437283", "name": "item", "description": "10.1155/2014/437283", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1155/2014/437283"}, {"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": "10.3390/agronomy11122403", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:51Z", "type": "Journal Article", "created": "2021-11-29", "title": "Impacts of Farming Layer Constructions on Cultivated Land Quality under the Cultivated Land Balance Policy", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Cultivated Land Balance Policy (CLBP) has led to the \u201cbetter land occupied and worse land supplemented\u201d program. At the same time, the current field-scale cultivated land quality (CLQ) evaluation cannot meet the work requirements of the CLBP. To this end, this study selected 24 newly added farmland in Fuping County and performed eight different high quality farming layer construction experiments to improve the CLQ. A new comprehensive model was constructed on a field scale to evaluate the CLQ using different tests from multi-dimensional perspectives of soil fertility, engineering, environment, and ecology, and to determine the best test mode. The results showed that after the test, around 62% of the cultivated land improved by one level, and the average cultivated land quality level and quality index of the test area increased by 0.63 and 30.63, respectively. The treatment of \u201cwoody peat + rotten crop straw + biostimulation regulator II + conventional fertilization\u201d had the best effect on the improvement of organic matter, soil aggregates, and soil microbial activity, and was the best treatment method. In general, application of soil amendments, such as woody peat when constructing high quality farmland, could quickly improve CLQ, and field-scale CLQ evaluation model constructed from a multi-dimensional perspective could accurately assess the true quality of farmland and allow managers to improve and manage arable land resources under CLBP.</p></article>", "keywords": ["Scale (ratio)", "cultivated land quality evaluation", "Agricultural engineering", "Agricultural and Biological Sciences", "Engineering", "Soil Evaluation", "Agricultural land", "Soil water", "Arable land", "cultivated land quality evaluation; field scale; high-quality farming layer; woody peat", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "S", "high-quality farming layer", "Life Sciences", "Land Suitability", "Land-Use Suitability Assessment Using GIS", "Land reclamation", "Agriculture", "04 agricultural and veterinary sciences", "woody peat", "Soil Erosion and Agricultural Sustainability", "Agricultural Land Use", "6. Clean water", "FOS: Philosophy", " ethics and religion", "Physical Sciences", "Quality (philosophy)", "field scale", "Cartography", "Soil Science", "Epistemology", "Management", " Monitoring", " Policy and Law", "Soil quality", "Environmental science", "Crop Suitability", "Agroforestry", "Biology", "Soil science", "Peat", "15. Life on land", "Topsoil", "Philosophy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2403/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122403"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122403", "name": "item", "description": "10.3390/agronomy11122403", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122403"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-25T00:00:00Z"}}, {"id": "10.1371/journal.pone.0034887", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:27Z", "type": "Journal Article", "created": "2012-04-19", "title": "Changes In The Diversity Of Soil Arbuscular Mycorrhizal Fungi After Cultivation For Biofuel Production In A Guantanamo (Cuba) Tropical System", "description": "Open AccessLes champignons mycorhiziens arbusculaires (FMA) sont un \u00e9l\u00e9ment cl\u00e9 et int\u00e9gral de la stabilit\u00e9, de la durabilit\u00e9 et du fonctionnement des \u00e9cosyst\u00e8mes. Dans cette \u00e9tude, nous avons caract\u00e9ris\u00e9 la biodiversit\u00e9 de l'AMF dans un sol v\u00e9g\u00e9tal natif et dans un sol cultiv\u00e9 avec Jatropha curcas ou Ricinus communis, dans un syst\u00e8me tropical \u00e0 Guantanamo (Cuba), afin de v\u00e9rifier si un changement d'utilisation des terres pour la production de plantes biocarburants a eu un effet sur les communaut\u00e9s de l'AMF. Nous \u00e9valuons \u00e9galement si certaines propri\u00e9t\u00e9s du sol li\u00e9es \u00e0 la fertilit\u00e9 du sol (N total, C organique, biomasse microbienne C, pourcentage de stabilit\u00e9 globale, pH et conductivit\u00e9 \u00e9lectrique) ont \u00e9t\u00e9 modifi\u00e9es avec la culture des deux esp\u00e8ces de cultures. Les g\u00e8nes d'ARNr de la petite sous-unit\u00e9 fongique AM (SSU) ont \u00e9t\u00e9 soumis \u00e0 une PCR, \u00e0 un clonage, \u00e0 un s\u00e9quen\u00e7age et \u00e0 des analyses phylog\u00e9n\u00e9tiques. Vingt types de s\u00e9quences fongiques AM ont \u00e9t\u00e9 identifi\u00e9s\u00a0: 19 appartiennent aux Glomeraceae et un aux Paraglomeraceae. Deux types de s\u00e9quences d'AMF li\u00e9s \u00e0 des esp\u00e8ces d'AMF cultiv\u00e9es (Glo G3 pour Glomus sinuosum et Glo G6 pour Glomus intraradices-G. fasciculatum-G. irregulare) ne se sont pas produits dans le sol cultiv\u00e9 avec J. curcas et R. communis. Les propri\u00e9t\u00e9s du sol (N total, C organique et biomasse microbienne C) \u00e9taient plus \u00e9lev\u00e9es dans le sol cultiv\u00e9 avec les deux esp\u00e8ces v\u00e9g\u00e9tales. La diversit\u00e9 de la communaut\u00e9 AMF a diminu\u00e9 dans le sol des deux cultures, par rapport au sol v\u00e9g\u00e9tal indig\u00e8ne, et variait consid\u00e9rablement en fonction des esp\u00e8ces cultiv\u00e9es plant\u00e9es. Ainsi, le sol de R. communis pr\u00e9sentait une diversit\u00e9 AMF plus \u00e9lev\u00e9e que le sol de J. curcas. En conclusion, R. communis pourrait \u00eatre plus adapt\u00e9 \u00e0 la conservation \u00e0 long terme et \u00e0 la gestion durable de ces \u00e9cosyst\u00e8mes tropicaux.", "keywords": ["Biomass (ecology)", "Jatropha", "Plant Science", "Plant Roots", "7. Clean energy", "Fungal Diversity", "Agricultural and Biological Sciences", "Soil", "Mycorrhizae", "Jatropha curcas", "Soil water", "Saproxylic Insect Ecology and Forest Management", "Mycological Typing Techniques", "Phylogeny", "Soil Microbiology", "2. Zero hunger", "Ecology", "Q", "R", "Cuba", "Life Sciences", "Agriculture", "Biodiversity", "04 agricultural and veterinary sciences", "Hydrogen-Ion Concentration", "Medicine", "Research Article", "Science", "Soil fertility", "12. Responsible consumption", "Mycorrhizal Fungi and Plant Interactions", "Health Sciences", "Biology", "Ecosystem", "Ribosome Subunits", " Small", " Eukaryotic", "Pharmacology", "Tropical Climate", "Soil organic matter", "Electric Conductivity", "Botany", "Medicinal Mushrooms: Antitumor and Immunomodulating Properties", "Spore", "15. Life on land", "Agronomy", "Glomus", "Molecular Typing", "Biofuels", "Insect Science", "FOS: Biological sciences", "0401 agriculture", " forestry", " and fisheries", "Ricinus communis"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0034887"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0034887", "name": "item", "description": "10.1371/journal.pone.0034887", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0034887"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-04-19T00:00:00Z"}}, {"id": "10.1371/journal.pone.0038858", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:27Z", "type": "Journal Article", "created": "2012-06-11", "title": "Decline In Topsoil Microbial Quotient, Fungal Abundance And C Utilization Efficiency Of Rice Paddies Under Heavy Metal Pollution Across South China", "description": "Open AccessLos suelos agr\u00edcolas han estado cada vez m\u00e1s sujetos a la contaminaci\u00f3n por metales pesados en todo el mundo. Sin embargo, los impactos en la estructura y actividad de la comunidad microbiana del suelo de los suelos de campo a\u00fan no se han caracterizado bien. En 2009 se recolectaron muestras de tierra vegetal de campos de arroz contaminados con metales pesados (PS) y sus campos de fondo (BGS) en cuatro sitios del sur de China. Los cambios con la contaminaci\u00f3n met\u00e1lica en relaci\u00f3n con el BGS en el tama\u00f1o y la estructura de la comunidad de los microorganismos del suelo se examinaron con m\u00faltiples ensayos microbiol\u00f3gicos de medici\u00f3n de carbono de biomasa (MBC) y nitr\u00f3geno (MBN), recuento en placa de colonias cultivables y an\u00e1lisis de \u00e1cidos grasos fosfol\u00edpidos (PLFA) junto con el perfil de electroforesis en gel de gradiente desnaturalizante (DGGE) del gen de ARNr 16S y ARNr 18S y ensayo de PCR en tiempo real. Adem\u00e1s, se llev\u00f3 a cabo una incubaci\u00f3n de laboratorio de 7 d\u00edas a una temperatura constante de 25 \u00b0C para realizar un seguimiento adicional de los cambios en la actividad metab\u00f3lica. Si bien la disminuci\u00f3n de la contaminaci\u00f3n por metales en MBC y MBN, as\u00ed como en el tama\u00f1o de la poblaci\u00f3n cultivable, el contenido total de PLFA y el n\u00famero de bandas DGGE de bacterias no se observaron de manera significativa y consistente, de hecho se observ\u00f3 una reducci\u00f3n significativa de la contaminaci\u00f3n por metales en el cociente microbiano, en el tama\u00f1o de la poblaci\u00f3n f\u00fangica cultivable y en la proporci\u00f3n de PLFA f\u00fangicos a bacterianos de manera consistente en todos los sitios en una medida que var\u00eda de 6% a 74%. Adem\u00e1s, se observ\u00f3 un aumento consistentemente significativo en el cociente metab\u00f3lico de hasta un 68% bajo contaminaci\u00f3n en todos los sitios. Estas observaciones apoyaron un cambio de la comunidad microbiana con disminuci\u00f3n en su abundancia, disminuci\u00f3n en la proporci\u00f3n de hongos y, por lo tanto, en la eficiencia de utilizaci\u00f3n de C bajo contaminaci\u00f3n en los suelos. Adem\u00e1s, las proporciones de cociente microbiano, de hongos a bacterias y qCO2 son mejores indicativas de los impactos de los metales pesados en la estructura y actividad de la comunidad microbiana. Los efectos potenciales de estos cambios en el ciclo del carbono y la producci\u00f3n de CO2 en los arrozales contaminados merecen m\u00e1s estudios de campo.", "keywords": ["Microbial population biology", "Colony Count", " Microbial", "Agricultural and Biological Sciences", "Sociology", "Soil water", "Soil Pollutants", "Soil Microbiology", "2. Zero hunger", "Principal Component Analysis", "Temperature gradient gel electrophoresis", "Ecology", "Q", "Fatty Acids", "R", "Life Sciences", "Agriculture", "04 agricultural and veterinary sciences", "Biota", "Pollution", "6. Clean water", "FOS: Sociology", "Chemistry", "Physical Sciences", "Environmental chemistry", "Medicine", "Research Article", "Environmental Monitoring", "16S ribosomal RNA", "China", "Microorganism", "Environmental Impact of Heavy Metal Contamination", "Nitrogen", "Science", "Population", "Soil Science", "Real-Time Polymerase Chain Reaction", "Environmental science", "Microbial Ecology", "12. Responsible consumption", "Metals", " Heavy", "Genetics", "Biology", "Demography", "Bacteria", "Denaturing Gradient Gel Electrophoresis", "Marine Microbial Diversity and Biogeography", "Oryza", "15. Life on land", "Topsoil", "Carbon", "Agronomy", "RNA", " Ribosomal", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0038858"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0038858", "name": "item", "description": "10.1371/journal.pone.0038858", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0038858"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-06-11T00:00:00Z"}}, {"id": "10.1371/journal.pone.0056562", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:28Z", "type": "Journal Article", "created": "2013-02-20", "title": "Carbon Dioxide Flux From Rice Paddy Soils In Central China: Effects Of Intermittent Flooding And Draining Cycles", "description": "Open AccessSe realiz\u00f3 un experimento de campo para (i) examinar el patr\u00f3n de flujos de di\u00f3xido de carbono (CO(2)) del suelo diurno y estacional en los arrozales en el centro de China y (ii) evaluar el papel del agua de inundaci\u00f3n en el control de las emisiones de CO(2) del suelo y el agua de inundaci\u00f3n en el drenaje intermitente del suelo de los arrozales. Las tasas de flujo de CO(2) del suelo oscilaron entre -0.45 y 8.62 \u00b5mol.m(-2).s(-1) durante la temporada de cultivo de arroz. Los eflujos netos de CO(2) del suelo del arrozal fueron menores cuando se inund\u00f3 el arrozal que cuando se dren\u00f3. Las emisiones de CO(2) para las condiciones de drenaje mostraron una variaci\u00f3n diurna distinta con un eflujo m\u00e1ximo observado en la tarde. Cuando el arrozal se inund\u00f3, los flujos de CO(2) del suelo diurno se invirtieron con un flujo m\u00e1ximo negativo justo despu\u00e9s del mediod\u00eda. En per\u00edodos alternos de drenaje/inundaci\u00f3n, se produjo un evento repentino similar a un pulso de eflujo de CO(2) en r\u00e1pido aumento en respuesta a una nueva inundaci\u00f3n despu\u00e9s del drenaje. El an\u00e1lisis de correlaci\u00f3n mostr\u00f3 una relaci\u00f3n negativa entre el flujo de CO(2) del suelo y la temperatura en condiciones de inundaci\u00f3n, pero se encontr\u00f3 una relaci\u00f3n positiva en condiciones de drenaje. Los resultados mostraron que los ciclos de drenaje e inundaci\u00f3n juegan un papel vital en el control de las emisiones de CO(2) de los suelos de los arrozales.", "keywords": ["Carbon sequestration", "Organic chemistry", "Agricultural and Biological Sciences", "Soil", "Agricultural soil science", "Soil water", "Psychology", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Q", "R", "Temperature", "Life Sciences", "Hydrology (agriculture)", "Geology", "Carbon cycle", "04 agricultural and veterinary sciences", "6. Clean water", "FOS: Psychology", "Chemistry", "Emissions", "Physical Sciences", "Medicine", "Seasons", "Methane", "Research Article", "China", "Science", "Soil Science", "Flooding (psychology)", "Environmental science", "Carbon Cycle", "Humans", "Biology", "Ecosystem", "Soil science", "Soil organic matter", "Oryza", "FOS: Earth and related environmental sciences", "Carbon Dioxide", "15. Life on land", "Soil biodiversity", "Floods", "Agronomy", "Geotechnical engineering", "Carbon dioxide", "13. Climate action", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "Flux (metallurgy)", "Psychotherapist", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems"], "contacts": [{"organization": "Yi Liu, Kaiyuan Wan, Yong Tao, Zhiguo Li, Guoshi Zhang, Shuanglai Li, Fang Chen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0056562"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0056562", "name": "item", "description": "10.1371/journal.pone.0056562", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0056562"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-02-20T00:00:00Z"}}, {"id": "10.1371/journal.pone.0070224", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:28Z", "type": "Journal Article", "created": "2013-07-16", "title": "Effects Of Added Organic Matter And Water On Soil Carbon Sequestration In An Arid Region", "description": "Open AccessEn general, se predice que el calentamiento global estimular\u00e1 la producci\u00f3n primaria y conducir\u00e1 a m\u00e1s aportes de carbono (C) al suelo. Sin embargo, muchos estudios han encontrado que el suelo C no necesariamente aumenta con el aumento de la entrada de basura vegetal. Las precipitaciones han aumentado en Asia central \u00e1rida y se prev\u00e9 que aumenten m\u00e1s, por lo que probamos los efectos de la adici\u00f3n de materia org\u00e1nica fresca (FOM) y agua en el secuestro de C del suelo en una regi\u00f3n \u00e1rida en el noroeste de China. Los resultados sugirieron que el FOM a\u00f1adido se descompuso r\u00e1pidamente y tuvo efectos menores en el dep\u00f3sito de carbono org\u00e1nico del suelo (SOC) a una profundidad de 30 cm. Tanto la FOM como la adici\u00f3n de agua tuvieron efectos significativos en la biomasa microbiana del suelo. La biomasa microbiana del suelo aument\u00f3 con la adici\u00f3n de FOM, alcanz\u00f3 un m\u00e1ximo y luego disminuy\u00f3 a medida que la FOM se descompon\u00eda. El FOM tuvo un efecto estimulante m\u00e1s significativo sobre la biomasa microbiana con la adici\u00f3n de agua. Bajo los rangos de humedad del suelo utilizados en este experimento (21.0% -29.7%), el aporte de FOM fue m\u00e1s importante que la adici\u00f3n de agua en el proceso de mineralizaci\u00f3n del suelo C. Concluimos que la entrada de FOM a corto plazo en el suelo subterr\u00e1neo y la adici\u00f3n de agua no afectan la piscina de SOC en los matorrales en una regi\u00f3n \u00e1rida.", "keywords": ["Carbon sequestration", "550", "Arid", "Growth", "630", "Agricultural and Biological Sciences", "Soil", "Agricultural soil science", "Tropical forest", "Soil water", "Carbon fibers", "Biomass", "Land-use", "2. Zero hunger", "Analysis of Land Cover and Ecosystems", "Ecology", "Respiration", "Q", "Temperature", "R", "Soil Chemical Properties", "Life Sciences", "Composite number", "04 agricultural and veterinary sciences", "Soil carbon", "6. Clean water", "Chemistry", "Physical Sciences", "Environmental chemistry", "Medicine", "Organic matter", "Research Article", "Composite material", "Carbon Sequestration", "China", "Desert shrubs", "Science", "Soil Science", "Ecosystems", "Environmental science", "Meta-analysis in Ecology and Agriculture Research", "Organic Matter Dynamics", "Climate-change", "Soil Carbon Sequestration", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "Soil science", "Soil organic matter", "Soil Fertility", "Water", "Soil Properties", "15. Life on land", "Soil biodiversity", "Materials science", "Microbial activity", "Carbon dioxide", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Fine-root", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "CO2 flux"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0070224"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0070224", "name": "item", "description": "10.1371/journal.pone.0070224", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0070224"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-16T00:00:00Z"}}, {"id": 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\u0627\u0644\u0628\u0634\u0631\u064a\u0629. \u0642\u062f \u064a\u0643\u0648\u0646 \u0627\u0646\u062e\u0641\u0627\u0636 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u0628\u0634\u0631\u064a\u0629 \u0645\u0631\u062a\u0628\u0637\u064b\u0627 \u0628\u0643\u0641\u0627\u0621\u0629 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u064a\u0643\u0631\u0648\u0628\u064a \u0627\u0644\u0645\u062a\u063a\u064a\u0631 C. \u062a\u0645 \u062a\u0639\u0632\u064a\u0632 \u0627\u0644\u0633\u064a\u0627\u0633\u0629 \u0627\u0644\u0627\u0642\u062a\u0635\u0627\u062f\u064a\u0629 \u0627\u0644\u062c\u062f\u064a\u062f\u0629 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0625\u0636\u0627\u0641\u0629 N\u060c \u0645\u0646 149 \u0625\u0644\u0649 426.6\u062c\u0645 \u0645\u0643\u0639\u0628\u0644\u0643\u0644 \u0633\u0646\u0629. \u0642\u062f \u062a\u0624\u062f\u064a \u0625\u0636\u0627\u0641\u0629 N \u0642\u0635\u064a\u0631\u0629 \u0627\u0644\u0623\u062c\u0644 \u0625\u0644\u0649 \u062a\u0639\u0632\u064a\u0632 \u062f\u0648\u0631 \u0627\u0644\u0645\u0632\u0627\u0631\u0639 \u0628\u0634\u0643\u0644 \u0643\u0628\u064a\u0631 \u0643\u0645\u063a\u0633\u0644\u0629 C \u0645\u0647\u0645\u0629.", "keywords": ["Biomass (ecology)", "Carbon sequestration", "0106 biological sciences", "Organic chemistry", "Carbon Dynamics in Peatland Ecosystems", "Plant Roots", "01 natural sciences", "Agricultural and Biological Sciences", "Soil", "Biomass", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Primary production", "Respiration", "Q", "R", "Life Sciences", "Agriculture", "Soil respiration", "Chemistry", "Physical Sciences", "Heterotroph", "Environmental chemistry", "Medicine", "Seasons", "Nitrogen Deposition", "Ecosystem Functioning", "Research Article", "Carbon Sequestration", "Autotroph", "Nitrogen", "Science", "Cell Respiration", "Soil Science", "Plant litter", "Environmental science", "Litter", "Genetics", "Soil Carbon Sequestration", "Biology", "Ecosystem", "Bacteria", "Global Forest Drought Response and Climate Change", "Botany", "Carbon Dioxide", "15. Life on land", "Agronomy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Animal science"], "contacts": [{"organization": "Zhenmin Du, Wei Wang, Wenjing Zeng, Hui Zeng,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0087975"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLoS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0087975", "name": "item", "description": "10.1371/journal.pone.0087975", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0087975"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-02-03T00:00:00Z"}}, {"id": "10.1371/journal.pone.0161694", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2016-09-02", "title": "Short-Term Responses Of Soil Respiration And C-Cycle Enzyme Activities To Additions Of Biochar And Urea In A Calcareous Soil", "description": "Open AccessBiochar (BC) addition to soil is a proposed strategy to enhance soil fertility and crop productivity. However, there is limited knowledge regarding responses of soil respiration and C-cycle enzyme activities to BC and nitrogen (N) additions in a calcareous soil. A 56-day incubation experiment was conducted to investigate the combined effects of BC addition rates (0, 0.5, 1.0, 2.5 and 5.0% by mass) and urea (U) application on soil nutrients, soil respiration and C-cycle enzyme activities in a calcareous soil in the North China Plain. Our results showed soil pH values in both U-only and U plus BC treatments significantly decreased within the first 14 days and then stabilized, and CO2emission rate in all U plus BC soils decreased exponentially, while there was no significant difference in the contents of soil total organic carbon (TOC), dissolved organic carbon (DOC), total nitrogen (TN), and C/N ratio in each treatment over time. At each incubation time, soil pH, electrical conductivity (EC), TOC, TN, C/N ratio, DOC and cumulative CO2 emission significantly increased with increasing BC addition rate, while soil potential activities of the four hydrolytic enzymes increased first and then decreased with increasing BC addition rate, with the largest values in the U + 1.0%BC treatment. However, phenol oxidase activity in all U plus BC soils showed a decreasing trend with the increase of BC addition rate. Our results suggest that U plus BC application at a rate of 1% promotes increases in hydrolytic enzymes, does not highly increase C/N and C mineralization, and can improve in soil fertility.", "keywords": ["Organic chemistry", "Soil pH", "Biochemistry", "Agricultural and Biological Sciences", "Soil", "Calcareous", "Engineering", "Soil water", "Urea", "2. Zero hunger", "Ecology", "Soil Water Retention", "Respiration", "Q", "Total organic carbon", "R", "Life Sciences", "Soil respiration", "Carbon cycle", "04 agricultural and veterinary sciences", "Hydrogen-Ion Concentration", "Soil carbon", "6. Clean water", "Chemistry", "Charcoal", "Physical Sciences", "Environmental chemistry", "Respiration rate", "Medicine", "Incubation", "Pyrolysis", "Research Article", "Mechanics and Transport in Unsaturated Soils", "Nitrogen", "Science", "Materials Science", "Soil Science", "Soil fertility", "Thermal Effects on Soil", "Biomaterials", "Biology", "Ecosystem", "Applications of Clay Nanotubes in Various Fields", "Civil and Structural Engineering", "Biochar Application", "Botany", "15. Life on land", "Carbon", "Agronomy", "Biochar", "Unsaturated Soil Mechanics", "13. Climate action", "FOS: Biological sciences", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Animal science"], "contacts": [{"organization": "Dali Song, XI Xiang-yin, Shaomin Huang, Gaofeng Liang, Jingwen Sun, Wei Zhou, Xiu\u2010Bin Wang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0161694"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0161694", "name": "item", "description": "10.1371/journal.pone.0161694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0161694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-02T00:00:00Z"}}, {"id": "10.1371/journal.pone.0168134", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2016-12-13", "title": "Chinese Milk Vetch As Green Manure Mitigates Nitrous Oxide Emission From Monocropped Rice System In South China", "description": "Open AccessMonocropped rice system is an important intensive cropping system for food security in China. Green manure (GM) as an alternative to fertilizer N (FN) is useful for improving soil quality. However, few studies have examined the effect of Chinese milk vetch (CMV) as GM on nitrous oxide (N2O) emission from monocropped rice field in south China. Therefore, a pot-culture experiment with four treatments (control, no FN and CMV; CMV as GM alone, M; fertilizer N alone, FN; integrating fertilizer N with CMV, NM) was performed to investigate the effect of incorporating CMV as GM on N2O emission using a closed chamber-gas chromatography (GC) technique during the rice growing periods. Under the same N rate, incorporating CMV as GM (the treatments of M and NM) mitigated N2O emission during the growing periods of rice plant, reduced the NO3- content and activities of nitrate and nitrite reductase as well as the population of nitrifying bacteria in top soil at maturity stage of rice plant versus FN pots. The global warming potential (GWP) and greenhouse gas intensity (GHGI) of N2O from monocropped rice field was ranked as M<NM<FN. However, the treatment of NM increased rice grain yield and soil NH4+ content, which were dramatically decreased in the M pots, over the treatment of FN. Hence, it can be concluded that integrating FN with CMV as GM is a feasible tactic for food security and N2O mitigation in the monocropped rice based system.", "keywords": ["Greenhouse Effect", "China", "Science", "Population", "Nitrous Oxide", "Soil Science", "Nitrogen Use Efficiency", "Rice Water Management and Productivity Enhancement", "Plant Science", "Crop", "Nitrate", "Greenhouse gas", "Environmental science", "Agricultural and Biological Sciences", "Soil", "Fertilizer", "Sociology", "Paddy field", "Biology", "Demography", "2. Zero hunger", "Nitrous oxide", "Ecology", "Q", "R", "Life Sciences", "Fabaceae", "Oryza", "Agriculture", "Food security", "04 agricultural and veterinary sciences", "Nitrogen Cycle", "Soil Nutrient Management", "15. Life on land", "Crop Production", "Agronomy", "6. Clean water", "Field experiment", "FOS: Sociology", "13. Climate action", "FOS: Biological sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Intercropping in Agricultural Systems", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Agronomy and Crop Science", "Research Article", "Cropping system", "Nitrate reductase"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0168134"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0168134", "name": "item", "description": "10.1371/journal.pone.0168134", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0168134"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-13T00:00:00Z"}}, {"id": "10.1371/journal.pone.0092985", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:29Z", "type": "Journal Article", "created": "2014-03-25", "title": "Comparison Of Seasonal Soil Microbial Process In Snow-Covered Temperate Ecosystems Of Northern China", "description": "Open AccessMore than half of the earth's terrestrial surface currently experiences seasonal snow cover and soil frost. Winter compositional and functional investigations in soil microbial community are frequently conducted in alpine tundra and boreal forest ecosystems. However, little information on winter microbial biogeochemistry is known from seasonally snow-covered temperate ecosystems. As decomposer microbes may differ in their ability/strategy to efficiently use soil organic carbon (SOC) within different phases of the year, understanding seasonal microbial process will increase our knowledge of biogeochemical cycling from the aspect of decomposition rates and corresponding nutrient dynamics. In this study, we measured soil microbial biomass, community composition and potential SOC mineralization rates in winter and summer, from six temperate ecosystems in northern China. Our results showed a clear pattern of increased microbial biomass C to nitrogen (N) ratio in most winter soils. Concurrently, a shift in soil microbial community composition occurred with higher fungal to bacterial biomass ratio and gram negative (G-) to gram positive (G+) bacterial biomass ratio in winter than in summer. Furthermore, potential SOC mineralization rate was higher in winter than in summer. Our study demonstrated a distinct transition of microbial community structure and function from winter to summer in temperate snow-covered ecosystems. Microbial N immobilization in winter may not be the major contributor for plant growth in the following spring.", "keywords": ["Biomass (ecology)", "Atmospheric Science", "Microbial population biology", "Decomposer", "Nutrient cycle", "Physical Phenomena", "Agricultural and Biological Sciences", "Soil", "Terrestrial ecosystem", "Snow", "Soil water", "Biomass", "Phospholipids", "Soil Microbiology", "Minerals", "Glucan 1", "4-beta-Glucosidase", "Ecology", "Geography", "Mineralization (soil science)", "Q", "R", "Life Sciences", "04 agricultural and veterinary sciences", "Biogeochemistry", "16. Peace & justice", "Earth and Planetary Sciences", "Physical Sciences", "Medicine", "Seasons", "Ecosystem Functioning", "Research Article", "China", "Nitrogen", "Science", "Soil Science", "Biogeochemical cycle", "Environmental science", "Meteorology", "Genetics", "Arctic Permafrost Dynamics and Climate Change", "Tundra", "Biology", "Ecosystem", "Soil science", "Bacteria", "Fungi", "Microbial Diversity in Antarctic Ecosystems", "15. Life on land", "Carbon", "Temperate climate", "13. 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"https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-03-25T00:00:00Z"}}, {"id": "10.1371/journal.pone.0116391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2015-02-09", "title": "Biogeographic Patterns Of Structural Traits And C:N:P Stoichiometry Of Tree Twigs In China\u2019S Forests", "description": "Open Access\u0643\u0627\u0646 \u0647\u0646\u0627\u0643 \u0639\u062f\u062f \u0645\u0646 \u0627\u0644\u062f\u0631\u0627\u0633\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u062c\u063a\u0631\u0627\u0641\u064a\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0644\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0648\u0638\u064a\u0641\u064a\u0629 \u0644\u0623\u0648\u0631\u0627\u0642 \u0627\u0644\u0646\u0628\u0627\u062a \u061b \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0646\u0627\u062f\u0631\u064b\u0627 \u0645\u0627 \u064a\u062a\u0645 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\u0639\u0644\u0649 \u0637\u0648\u0644 \u062a\u062f\u0631\u062c \u062e\u0637\u0648\u0637 \u0627\u0644\u0639\u0631\u0636 \u0648\u0627\u0644\u0645\u0646\u0627\u062e \u0648\u0627\u0644\u062a\u0631\u0628\u0629. \u062a\u0648\u0641\u0631 \u0647\u0630\u0647 \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0623\u0648\u0644\u0649 \u0648\u0627\u0633\u0639\u0629 \u0627\u0644\u0646\u0637\u0627\u0642 \u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0623\u063a\u0635\u0627\u0646 \u0648\u0633\u062a\u062d\u0633\u0646 \u0641\u0647\u0645\u0646\u0627 \u0644\u0644\u0643\u064a\u0645\u064a\u0627\u0621 \u0627\u0644\u062c\u064a\u0648\u0644\u0648\u062c\u064a\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0644\u0644\u0643\u0631\u0628\u0648\u0646 \u0648\u0627\u0644\u0645\u063a\u0630\u064a\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a\u0629 \u0644\u0644\u063a\u0627\u0628\u0627\u062a.", "keywords": ["0106 biological sciences", "China", "Nitrogen", "Science", "Climate", "Evolutionary biology", "Forests", "Estimation of Forest Biomass and Carbon Stocks", "01 natural sciences", "Trees", "Soil", "Biodiversity Conservation and Ecosystem Management", "FOS: Mathematics", "Biology", "Nature and Landscape Conservation", "Global and Planetary Change", "Ecology", "Geography", "Global Forest Drought Response and Climate Change", "Q", "R", "Phosphorus", "15. Life on land", "Carbon", "Archaeology", "Combinatorics", "13. Climate action", "Tree Allometry", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Tree (set theory)", "Medicine", "Embryophyta", "Tree Height-Diameter Models", "Biomass Estimation", "Mathematics", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0116391"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0116391", "name": "item", "description": "10.1371/journal.pone.0116391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0116391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-02-09T00:00:00Z"}}, {"id": "10.1371/journal.pone.0124096", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2015-04-16", "title": "Effects Of Different Organic Manures On The Biochemical And Microbial Characteristics Of Albic Paddy Soil In A Short-Term Experiment", "description": "Open AccessCette \u00e9tude visait \u00e0 \u00e9valuer les effets des engrais chimiques (NPK), NPK avec du fumier de b\u00e9tail (NPK+M), NPK avec de la paille (NPK+S) et NPK avec du fumier vert (NPK+G) sur les activit\u00e9s enzymatiques du sol et les caract\u00e9ristiques microbiennes du sol de paddy albique, qui est un sol typique avec une faible productivit\u00e9 en Chine. Les r\u00e9ponses des activit\u00e9s enzymatiques extracellulaires et de la diversit\u00e9 des communaut\u00e9s microbiennes (d\u00e9termin\u00e9es par analyse des acides gras phospholipidiques [PLFA] et \u00e9lectrophor\u00e8se sur gel \u00e0 gradient d\u00e9naturant [DGGE]) ont \u00e9t\u00e9 mesur\u00e9es. Les r\u00e9sultats ont montr\u00e9 que NPK+M et NPK+S augmentaient significativement le rendement du riz, NPK+M \u00e9tant sup\u00e9rieur d'environ 24\u00a0% \u00e0 NPK. Le NPK+M a significativement augment\u00e9 le carbone organique du sol (SOC) et les phosphates disponibles (P) et am\u00e9lior\u00e9 les activit\u00e9s de la phosphatase, de la \u03b2-cellobiosidase, de la L-leucine aminopeptidase et de l'ur\u00e9ase. Le NPK+S a significativement augment\u00e9 le COS et le potassium disponible (K) et significativement augment\u00e9 les activit\u00e9s de la N-ac\u00e9tyl-glucosamidase, de la \u03b2-xylosidase, de l'ur\u00e9ase et de la ph\u00e9nol oxydase. Le NPK+G a significativement am\u00e9lior\u00e9 l'azote total (N), l'ammonium N, le P disponible et l'activit\u00e9 de la N-ac\u00e9tyl-glucosamidase. La biomasse de PLFA \u00e9tait la plus \u00e9lev\u00e9e sous NPK+S, suivie des traitements NPK+M et NPK+G. L'analyse en composantes principales (ACP) du PLFA a indiqu\u00e9 que les sols avec NPK+M et NPK+S contenaient des proportions plus \u00e9lev\u00e9es d'acides gras insatur\u00e9s et de cyclopropane (biomarqueurs de champignons et de bact\u00e9ries \u00e0 Gram n\u00e9gatif) et que les sols sous NPK+G contenaient plus d'acides gras satur\u00e9s \u00e0 cha\u00eene droite (repr\u00e9sentant des bact\u00e9ries \u00e0 Gram positif). La PCA des patrons DGGE a montr\u00e9 que les amendements organiques avaient une plus grande influence sur la communaut\u00e9 fongique. L'analyse en grappes des profils DGGE fongiques a r\u00e9v\u00e9l\u00e9 que NPK+G \u00e9tait clairement s\u00e9par\u00e9. Pendant ce temps, la communaut\u00e9 bact\u00e9rienne du traitement NPK+M \u00e9tait la plus distincte. L'analyse RDA a r\u00e9v\u00e9l\u00e9 que les changements dans la composition de la communaut\u00e9 microbienne d\u00e9pendaient principalement de la \u03b2-xylosidase, des activit\u00e9s de la \u03b2-cellobiosidase, de l'azote total et des teneurs en K disponibles. Les abondances de PLFA bact\u00e9riens et fongiques gram-n\u00e9gatifs probablement efficaces pour am\u00e9liorer la fertilit\u00e9 des sols de paddy albique \u00e0 faible rendement en raison de leur influence significative sur le profil DGGE.", "keywords": ["China", "Mechanics and Transport in Unsaturated Soils", "Microbial population biology", "Science", "Materials Science", "Soil Science", "Organic chemistry", "Thermal Effects on Soil", "Biochemistry", "Gene", "Agricultural and Biological Sciences", "Biomaterials", "Food science", "Soil", "Engineering", "Genetics", "Biology", "Soil Microbiology", "Civil and Structural Engineering", "Applications of Clay Nanotubes in Various Fields", "2. Zero hunger", "Temperature gradient gel electrophoresis", "Bacteria", "Q", "R", "Fungi", "Life Sciences", "Straw", "Oryza", "Phosphorus", "04 agricultural and veterinary sciences", "15. Life on land", "Urease", "Agronomy", "6. Clean water", "Manure", "Chemistry", "Enzyme", "FOS: Biological sciences", "Physical Sciences", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Animal science", "Research Article", "16S ribosomal RNA"], "contacts": [{"organization": "Qian Zhang, Wei Zhou, Gaofeng Liang, Xiu\u2010Bin Wang, Jingwen Sun, Ping He, LI Lu-jiu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0124096"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0124096", "name": "item", "description": "10.1371/journal.pone.0124096", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0124096"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-04-16T00:00:00Z"}}, {"id": "10.1371/journal.pone.0172767", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2017-03-06", "title": "Effects Of Inorganic And Organic Amendment On Soil Chemical Properties, Enzyme Activities, Microbial Community And Soil Quality In Yellow Clayey Soil", "description": "Open AccessComprender los efectos de los componentes org\u00e1nicos e inorg\u00e1nicos externos sobre la fertilidad y la calidad del suelo es esencial para mejorar los suelos de bajo rendimiento. Realizamos un estudio de campo durante dos temporadas consecutivas de cultivo de arroz para investigar el efecto de la aplicaci\u00f3n de fertilizantes qu\u00edmicos (NPK), NPK m\u00e1s esti\u00e9rcol verde (NPKG), NPK m\u00e1s esti\u00e9rcol de cerdo (NPKM) y NPK m\u00e1s paja (NPKS) en el estado de nutrientes del suelo, las actividades enzim\u00e1ticas involucradas en el ciclo de C, N, P y S, la comunidad microbiana y los rendimientos de arroz del suelo arcilloso amarillo. Los resultados mostraron que los tratamientos fertilizados mejoraron significativamente los rendimientos de arroz durante las tres primeras temporadas experimentales. En comparaci\u00f3n con el tratamiento NPK, las enmiendas org\u00e1nicas produjeron efectos m\u00e1s favorables en la productividad del suelo. En particular, el tratamiento NPKM exhibi\u00f3 los niveles m\u00e1s altos de disponibilidad de nutrientes, carbono de biomasa microbiana (MBC), actividades de la mayor\u00eda de las enzimas y la comunidad microbiana. Esto dio como resultado el \u00edndice de calidad del suelo (SQI) m\u00e1s alto y el rendimiento del arroz, lo que indica una mejor fertilidad y calidad del suelo. Se observaron diferencias significativas en las actividades enzim\u00e1ticas y la comunidad microbiana entre los tratamientos, y el an\u00e1lisis de redundancia mostr\u00f3 que MBC y N disponible fueron los determinantes clave que afectaron las actividades enzim\u00e1ticas del suelo y la comunidad microbiana. La puntuaci\u00f3n de SQI del control no fertilizado (0,72) fue comparable a la de los tratamientos con NPK (0,77), NPKG (0,81) y NPKS (0,79), pero significativamente menor en comparaci\u00f3n con NPKM (0,85). La correlaci\u00f3n significativa entre el rendimiento del arroz y el SQI sugiere que el SQI puede ser \u00fatil para cuantificar los cambios en la calidad del suelo causados por diferentes pr\u00e1cticas de manejo agr\u00edcola. Los resultados indican que la aplicaci\u00f3n de NPK m\u00e1s esti\u00e9rcol de cerdo es la opci\u00f3n preferida para mejorar la acumulaci\u00f3n de COS, mejorar la fertilidad y calidad del suelo y aumentar el rendimiento de arroz en suelos arcillosos amarillos.", "keywords": ["Microbial population biology", "FOS: Political science", "Agricultural and Biological Sciences", "Soil", "Agricultural soil science", "Fertilizer", "Soil water", "Biomass", "Political science", "Soil Microbiology", "2. Zero hunger", "Organic Agriculture", "Soil Physical Properties", "Ecology", "Q", "Soil Quality", "R", "Soil Chemical Properties", "Life Sciences", "Straw", "Agriculture", "04 agricultural and veterinary sciences", "Hydrogen-Ion Concentration", "Soil carbon", "6. Clean water", "Chemistry", "Medicine", "Research Article", "Nitrogen", "Science", "Soil Science", "FOS: Law", "Environment", "Soil fertility", "Soil quality", "Meta-analysis in Ecology and Agriculture Research", "Genetics", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "Soil Fertility", "Effects of Soil Compaction on Crop Production", "Bacteria", "15. Life on land", "Soil biodiversity", "Carbon", "Agronomy", "Manure", "FOS: Biological sciences", "Amendment", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Law", "Nutrient"], "contacts": [{"organization": "Zhanjun Liu, Qinlei Rong, Wei Zhou, Gaofeng Liang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0172767"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0172767", "name": "item", "description": "10.1371/journal.pone.0172767", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0172767"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-06T00:00:00Z"}}, {"id": "10.1371/journal.pone.0153415", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:30Z", "type": "Journal Article", "created": "2016-04-12", "title": "Seasonality, Rather Than Nutrient Addition Or Vegetation Types, Influenced Short-Term Temperature Sensitivity Of Soil Organic Carbon Decomposition", "description": "Open AccessLa r\u00e9ponse de la respiration microbienne de la d\u00e9composition du carbone organique du sol (COS) aux changements environnementaux joue un r\u00f4le cl\u00e9 dans la pr\u00e9diction des tendances futures de la concentration de CO2 atmosph\u00e9rique. Cependant, il n'est pas certain qu'il existe une tendance universelle dans la r\u00e9ponse de la respiration microbienne \u00e0 l'augmentation de la temp\u00e9rature et \u00e0 l'ajout de nutriments parmi les diff\u00e9rents types de v\u00e9g\u00e9tation. Dans cette \u00e9tude, les sols ont \u00e9t\u00e9 \u00e9chantillonn\u00e9s au printemps, en \u00e9t\u00e9, en automne et en hiver \u00e0 partir de cinq types de v\u00e9g\u00e9tation dominants, y compris les for\u00eats de pins, de m\u00e9l\u00e8zes et de bouleaux, les arbustes et les prairies, dans la r\u00e9gion de Saihanba, dans le nord de la Chine. Les \u00e9chantillons de sol de chaque saison ont \u00e9t\u00e9 incub\u00e9s \u00e0 1, 10 et 20 \u00b0C pendant 5 \u00e0 7 jours. L'azote (N\u00a0; 0,035 mM sous forme de NH4NO3) et le phosphore (P\u00a0; 0,03 mM sous forme de P2O5) ont \u00e9t\u00e9 ajout\u00e9s aux \u00e9chantillons de sol, et les r\u00e9ponses de la respiration microbienne du sol \u00e0 l'augmentation de la temp\u00e9rature et \u00e0 l'ajout de nutriments ont \u00e9t\u00e9 d\u00e9termin\u00e9es. Nous avons constat\u00e9 une tendance universelle selon laquelle la respiration microbienne du sol augmentait avec l'augmentation de la temp\u00e9rature, ind\u00e9pendamment de la saison d'\u00e9chantillonnage ou du type de v\u00e9g\u00e9tation. La sensibilit\u00e9 \u00e0 la temp\u00e9rature (indiqu\u00e9e par Q10, l'augmentation du taux de respiration avec une augmentation de 10\u00b0C de la temp\u00e9rature) de la respiration microbienne \u00e9tait plus \u00e9lev\u00e9e au printemps et en automne qu'en \u00e9t\u00e9 et en hiver, quel que soit le type de v\u00e9g\u00e9tation. Le Q10 \u00e9tait significativement corr\u00e9l\u00e9 positivement avec la biomasse microbienne et le rapport champignon\u00a0: bact\u00e9rie. La respiration microbienne (ou Q10) n'a pas r\u00e9pondu de mani\u00e8re significative \u00e0 l'addition d'azote ou de phosphore. Nos r\u00e9sultats sugg\u00e8rent que l'apport en nutriments \u00e0 court terme pourrait ne pas modifier le taux de d\u00e9composition du COS ou sa sensibilit\u00e9 \u00e0 la temp\u00e9rature, alors que l'augmentation de la temp\u00e9rature pourrait am\u00e9liorer consid\u00e9rablement la d\u00e9composition du COS au printemps et en automne, par rapport \u00e0 l'hiver et \u00e0 l'\u00e9t\u00e9.", "keywords": ["Biomass (ecology)", "Atmospheric Science", "Microbial population biology", "Larix", "Carbon Dynamics in Peatland Ecosystems", "Forests", "Agricultural and Biological Sciences", "Soil", "Soil water", "Pathology", "Carbon Feedback", "Biomass", "Betula", "Soil Microbiology", "2. Zero hunger", "Ecology", "Q10", "Respiration", "Q", "R", "Temperature", "Life Sciences", "Soil respiration", "04 agricultural and veterinary sciences", "Soil carbon", "Grassland", "Earth and Planetary Sciences", "Physical Sciences", "Respiration rate", "Medicine", "Seasons", "Vegetation (pathology)", "Research Article", "China", "Nitrogen", "Science", "Soil Science", "Environmental science", "Shrubland", "Genetics", "Arctic Permafrost Dynamics and Climate Change", "Soil Carbon Sequestration", "Biology", "Ecosystem", "Soil science", "Soil organic matter", "Soil Fertility", "Bacteria", "Fungi", "Botany", "15. Life on land", "Pinus", "Vegetation Change", "Carbon", "Agronomy", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient"], "contacts": [{"organization": "Yu-Qi Qian, Fangliang He, Wei Wang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0153415"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0153415", "name": "item", "description": "10.1371/journal.pone.0153415", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0153415"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-12T00:00:00Z"}}, {"id": "10.5061/dryad.f7m0cfxv5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:29Z", "type": "Dataset", "title": "Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing", "description": "unspecifiedFurther information about the data set can be found in the  'metadata' tab on the associated datasheet or in the following  article:<br><strong>Throop, H.L.</strong>, S. Munson, N. Hornslein, and M.P. McClaran. 2021.  Shrub influence on soil carbon in a semi-arid grassland is mediated by  climate and largely insensitive to livestock grazing. <em>Arid Land  Research and Management </em>doi: 10.1080/15324982.2021.1952660", "keywords": ["2. Zero hunger", "soil organic carbon", "13. Climate action", "FOS: Biological sciences", "soil nitrogen", "woody encroachment", "15. Life on land"], "contacts": [{"organization": "Throop, Heather, Munson, Seth, Hornslein, Nicole, McClaran, Mitchel,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.f7m0cfxv5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.f7m0cfxv5", "name": "item", "description": "10.5061/dryad.f7m0cfxv5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.f7m0cfxv5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-13T00:00:00Z"}}, {"id": "10.3390/rs12244018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:03Z", "type": "Journal Article", "created": "2020-12-08", "title": "Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of cereal for the country, there is a serious need to characterize the impact of drought on cereal yields. In this study, drought is assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature condition index (TCI), vegetation health ind ex (VHI), soil moisture condition index (SMCI) and soil water index for different soil layers (SWI)) and (2) key land surface variables (Land Area Index (LAI), soil moisture (SM) at different depths, soil evaporation and plant transpiration) from a Land Data Assimilation System (LDAS) over 2000\u20132017. A lagged correlation analysis was conducted to assess the relationships between the drought indices and cereal yield at monthly time scales. The VCI and LAI around the heading stage (March-April) are highly linked to yield for all provinces (R = 0.94 for the Khemisset province), while a high link for TCI occurs during the development stage in January-February (R = 0.83 for the Beni Mellal province). Interestingly, indices related to soil moisture in the superficial soil layer are correlated with yield earlier in the season around the emergence stage (December). The results demonstrate the clear added value of using an LDAS compared with using a remote sensing product alone, particularly concerning the soil moisture in the root-zone, considered a key variable for yield production, that is not directly observable from space. The time scale of integration is also discussed. By integrating the indices on the main phenological stages of wheat using a dynamic threshold approach instead of the monthly time scale, the correlation between indices and yield increased by up to 14%. In addition, the contributions of VCI and TCI to VHI were optimized by using yield anomalies as proxies for drought. This study opens perspectives for the development of drought early warning systems in Morocco and over North Africa, as well as for seasonal crop yield forecasting.</p></article>", "keywords": ["[SDE] Environmental Sciences", "550", "Science", "0207 environmental engineering", "Agricultural drought", "02 engineering and technology", "01 natural sciences", "630", "Environmental science", "remote sensing", "Land data assimilation systems", "Pathology", "assimilation systems", "Biology", "land data assimilation systems", "0105 earth and related environmental sciences", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Water content", "Ecology", "Drought", "Global Forest Drought Response and Climate Change", "Q", "Hydrology (agriculture)", "Geology", "cereal yield", "Remote Sensing in Vegetation Monitoring and Phenology", "FOS: Earth and related environmental sciences", "Remote sensing", "semiarid region", "15. Life on land", "agricultural drought", "Agronomy", "6. Clean water", "Cereal yield", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "[SDE]Environmental Sciences", "Global Drought Monitoring and Assessment", "Environmental Science", "Physical Sciences", "Leaf area index", "Medicine", "Semiarid region", "land data", "Vegetation (pathology)"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/24/4018/pdf"}, {"href": "https://doi.org/10.3390/rs12244018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12244018", "name": "item", "description": "10.3390/rs12244018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12244018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-08T00:00:00Z"}}, {"id": "10.1659/mrd.00007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:19:47Z", "type": "Journal Article", "created": "2009-12-11", "title": "The Hydrology Of Tropical Andean Ecosystems: Importance, Knowledge Status, And Perspectives", "description": "Open AccessCet article met en \u00e9vidence la valeur \u00e9conomique et \u00e9cologique des syst\u00e8mes de ressources en eau de la r\u00e9gion foresti\u00e8re de p\u00e1ramo et de montagne de l'\u00c9quateur et donne une description, bas\u00e9e sur une enqu\u00eate de la litt\u00e9rature r\u00e9cente, des m\u00e9canismes contr\u00f4lant le processus de ruissellement des pr\u00e9cipitations et de la fa\u00e7on dont les changements dans l'utilisation des terres modifient la transformation. L'examen r\u00e9v\u00e8le que la compr\u00e9hension disponible est partielle, le r\u00e9sultat d'efforts de recherche individuels et isol\u00e9s, et est entrav\u00e9e par un manque d'ensembles de donn\u00e9es complets et coh\u00e9rents \u00e0 long terme. Les connaissances disponibles ne permettent pas encore d'augmenter ou de r\u00e9duire l'\u00e9chelle des r\u00e9sultats. L'article conclut en (1) citant certaines des principales lacunes qui entravent la compr\u00e9hension hydrologique des \u00e9cosyst\u00e8mes andins tropicaux et (2) proposant des recommandations pour acc\u00e9l\u00e9rer la compr\u00e9hension et l'\u00e9laboration de politiques et de mesures visant \u00e0 garantir un d\u00e9veloppement \u00e9cologiquement s\u00fbr et durable des \u00e9cosyst\u00e8mes aquatiques fragiles de la r\u00e9gion andine tropicale de l'\u00c9quateur.", "keywords": ["Resource (disambiguation)", "0207 environmental engineering", "Optimal Operation of Water Resources Systems", "Ocean Engineering", "02 engineering and technology", "Environmental science", "Engineering", "Tropical forest", "Downscaling", "Climate change", "Hydro-Economic Models", "Environmental resource management", "Biology", "Ecosystem", "Water Science and Technology", "Computer network", "Geography", "Ecology", "15. Life on land", "Computer science", "6. Clean water", "Hydrological Modeling and Water Resource Management", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences"]}, "links": [{"href": "https://doi.org/10.1659/mrd.00007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mountain%20Research%20and%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1659/mrd.00007", "name": "item", "description": "10.1659/mrd.00007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1659/mrd.00007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-11-01T00:00:00Z"}}, {"id": "10.25387/g3.11522544.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:37Z", "type": "Dataset", "created": "2020-01-09", "title": "Supplemental Material for Susi\u010d et al., 2020", "description": "Supplemental data corresponding to the manuscript titled: Whole genome sequencing and comparative genomics of two nematicidal <i>Bacillus</i> strains reveals a wide range of possible virulence factors. The data include the morphological characteristics of the two studied strains; 16S analysis; detailed phylogenetic positioning of the two strains within the genus Bacillus; detailed ANI, Tetra and TCS scores; strain-specific homologous clusters and their GO-term affiliations; BLASTP hits for putative nematode-virulent proteases; putative chitinase sequences analysis; and predicted/putative secondary metabolite clusters (antiSMASH analysis).<br>", "keywords": ["FOS: Computer and information sciences", "60503 Microbial Genetics", "FOS: Biological sciences", "60408 Genomics", "Microbiology", "60501 Bacteriology", "60102 Bioinformatics"], "contacts": [{"organization": "Susi\u010d, Nik, Jane\u017ei\u010d, Sandra, Rupnik, Maja, Stare, Barbara Geri\u010d,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25387/g3.11522544.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.25387/g3.11522544.v1", "name": "item", "description": "10.25387/g3.11522544.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25387/g3.11522544.v1"}, {"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": "10.5061/dryad.fn2z34v2d", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:29Z", "type": "Dataset", "created": "2023-12-05", "title": "Data from: Contrasting drivers of aboveground woody biomass and aboveground woody productivity in lowland forests of Colombia", "description": "unspecified# Contrasting drivers of aboveground woody biomass and aboveground woody  productivity in lowland forests of Colombia  Tree census data collected  at 39 1-ha forest inventory plots situated in the Orinoquia region and  Amazonia region of Colombia. Plots were censused between 2005 and 2021. We  aim to assess the importance of abiotic and biotic factors in controlling  the variation in aboveground biomass stocks and fluxes. In each plot, all  stems of trees and palms (hereafter trees) with tree diameter at breast  height (DBH; tree diameter at 1.3 m height) \u2265 10 cm were measured. The  aboveground biomass (AGB) of each tree was estimated using the allometric  equation proposed by Chave et al. (2014). All plots were censused at least  twice (elapsed time ranged between 2 and 10 years), and the aboveground  woody productivity (AWP in Mg ha-1 y-1), and aboveground woody residence  time (AWRT in y) of each plot were estimated. To estimate soil fertility,  samples of soil A horizon (i.e., the mineral soil after removing the  organic layer) were collected from a minimum of five points in each plot  at a depth of 10\u201330 cm. The five samples from each plot were then combined  and analyzed. We calculated three metrics of phylogenetic diversity:  phylogenetic diversity *sensu stricto* (PD), Net Relatedness Index (NRI)  and the Nearest Taxon Index (NTI). NRI and NTI were weighted by abundance.  The PD of each plot was calculated as the total sum of the phylogenetic  branch lengths connecting the co-occurring species in each plot along the  minimum spanning path to the root of the tree. The NRI and NTI are based  on the mean pairwise distance and the mean nearest pairwise distance,  respectively. We found there were significant differences between flooded  and Tierra firme forests in Aboveground biomass and Aboveground Woody  Residence Time. These forests are gaining carbon as shown by a positive  Aboveground biomass net change. The difference in Aboveground biomass net  change between flooded and Tierra firme forests was marginally  significant, being negative and with higher variability in flooded than in  Tierra firme forests. Diversity, forest structure, climate, and soils were  independently correlated with the spatial variation of the Aboveground  biomass. when we sequentially removed the variables representing each  independent hypothesis, forest structure, here represented by the number  of trees with DBH \u2265 70 cm (D70) and mean wood density, had a pure total  explained variation of 40 % and the strongest effect in determining the  Aboveground biomass All independent variables selected were correlated  with the spatial variation of the Aboveground biomass in Tierra firme. The  full models for all plots and Tierra firme employed to assess the drivers  of Aboveground productivity included soils and forest structure as the  most important factors. In both cases, P, Mg, and the number of big trees  (D70) were selected as the key drivers of Aboveground productivity. File  data set structure: ID plot number, Plot name, Longitude (\u25e6), Latitude  (\u25e6), Flooded/Terra firme, Mean annual temperature (\u25e6C)(MAT), Total annual  precipitation (mm y-1)(TAP), Precipitation seasonality (PS), Number of  individuals (ha-1)(Density), Mean wood density (gr cm-3)( WD_mean),  Aboveground biomass (Mg ha-1)(AGB), Aboveground productivity (Mg ha-1  y-1)(AWP), Net carbon change (Mg ha-1 y-1)(Net_change), Elapsed time  between censuses (y)( Time (y-1)), Number of genus per plot (Genus),  Number of species per plot (Sp), Inverse of Simpson index (Simpson_inv),  Net Relatedness Index (NRI), Nearest Taxon Index (NTI), Phylogenetic  Diversity (PD), soil pH (pH), Calcium (mg kg-1)(Ca), Potasium\u00a0 (mg  kg-1)(K), Magnesium\u00a0 (mg kg-1)(Mg), Sodium\u00a0 (mg kg-1)(Na), Aluminium (mg  kg-1)(Al), Cation Excahnge Capacity (CEC), Phosporous (mg kg-1)(P),  Organic carbon (%)(CO), Number of trees with DBH \u2265 70 cm ha-1 (D70),  Maximum DBH (cm)(Dmax) Note: Plot number in red are the two plots selected  from the 25-ha Amacayacu plot with aboveground biomass maximum and minimum  values. In blue those for aboveground woody productivity", "keywords": ["productivity-diversity relationship", "FOS: Biological sciences", "soil fertility", "Orinoquia", "phylogenetic diversity", "variance partitioning", "Amazon"], "contacts": [{"organization": "Casta\u00f1o, Nicolas, Pe\u00f1a, Miguel, Gonzalez-Caro, Sebastian, Aldana, Ana, Casas, Luisa, Correa, Diego, Gonz\u00e1lez-Abella, Juan, Pelaez, Natalia, Stevenson, Pablo, Sua, Sonia, Zuleta, Daniel, Duque, Alvaro,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.fn2z34v2d"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.fn2z34v2d", "name": "item", "description": "10.5061/dryad.fn2z34v2d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.fn2z34v2d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": 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\u0627\u0644\u0633\u064a\u0627\u0633\u0627\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u064a\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0645\u0633\u062a\u0648\u064a\u0627\u062a \u0643\u0645\u0646\u0627\u0637\u0642 \u0627\u0633\u062a\u0639\u0627\u062f\u0629 \u0645\u062d\u062a\u0645\u0644\u0629 \u0644\u062a\u0639\u0632\u064a\u0632 \u062a\u0648\u0641\u064a\u0631 \u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0646\u0638\u0627\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a.", "keywords": ["Period (music)", "Soil Degradation", "Vascular Flora of Mediterranean Europe and North Africa", "Soil Science", "Orchard", "Plant Science", "Mediterranean", "Horticulture", "Genetic and Environmental Factors in Grapevine Cultivation", "01 natural sciences", "Environmental science", "Agricultural and Biological Sciences", "Pathology", "Ecosystem services", "Landscape elements", "Agroforestry", "Irrigation", "Biology", "0105 earth and related environmental sciences", "2. Zero hunger", "Geography", "Ecology", "Physics", "Common agricultural policy", "Olive groves", "Life Sciences", "Agriculture", "Forestry", "Acoustics", "04 agricultural and veterinary sciences", "15. Life on land", "Soil Erosion and Agricultural Sustainability", "Olive trees", "Agronomy", "Sustainability", "Archaeology", "FOS: Biological sciences", "Shifting cultivation", "Medicine", "0401 agriculture", " forestry", " and fisheries", "Vegetation (pathology)"]}, "links": [{"href": "https://doi.org/10261/271651"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Use%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/271651", "name": "item", "description": "10261/271651", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/271651"}, {"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": "10.5194/hess-19-4201-2015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:50Z", "type": "Journal Article", "created": "2015-10-20", "title": "Multidecadal Change In Streamflow Associated With Anthropogenic Disturbances In The Tropical Andes", "description": "<p>Abstract. Andean headwater catchments are an important source of freshwater for downstream water users. However, few long-term studies exist on the relative importance of climate change and direct anthropogenic perturbations on flow regimes in these catchments. In this paper, we assess change in streamflow based on long time series of hydrometeorological data (1974\uffe2\uff80\uff932008) and land cover reconstructions (1963\uffe2\uff80\uff932009) in the Pangor catchment (282 km2) located in the tropical Andes. Three main land cover change trajectories can be distinguished during the period 1963\uffe2\uff80\uff932009: (1) expansion of agricultural land by an area equal to 14 % of the catchment area (or 39 km2) in 46 years' time, (2) deforestation of native forests by 11 % (or \uffe2\uff88\uff9231 km2) corresponding to a mean rate of 67 ha yr\uffe2\uff88\uff921, and (3) afforestation with exotic species in recent years by about 5 % (or 15 km2). Over the time period 1963\uffe2\uff80\uff932009, about 50 % of the 64 km2 of native forests was cleared and converted to agricultural land. Given the strong temporal variability of precipitation and streamflow data related to El Ni\uffc3\uffb1o\uffe2\uff80\uff93Southern Oscillation, we use empirical mode decomposition techniques to detrend the time series. The long-term increasing trend in rainfall is remarkably different from the observed changes in streamflow, which exhibit a decreasing trend. Hence, observed changes in streamflow are not the result of long-term change in precipitation but very likely result from anthropogenic disturbances associated with land cover change.                     </p>", "keywords": ["Technology", "Period (music)", "0208 environmental biotechnology", "Urban Flooding", "Precipitation", "02 engineering and technology", "Oceanography", "Environmental technology. Sanitary engineering", "land-use change", "Geography. Anthropology. Recreation", "Climate change", "GE1-350", "TD1-1066", "Water Science and Technology", "Climatology", "2. Zero hunger", "Global and Planetary Change", "Geography", "Ecology", "T", "Physics", "Hydrology (agriculture)", "Geology", "Programming language", "Hydrological Modeling and Water Resource Management", "Physical Sciences", "Cartography", "Land cover", "1443", "Hydrometeorology", "Drainage basin", "0207 environmental engineering", "Streamflow", "Environmental science", "G", "Global Flood Risk Assessment and Management", "Meteorology", "Afforestation", "Agroforestry", "Biology", "Land use", " land-use change and forestry", "FOS: Earth and related environmental sciences", "Acoustics", "15. Life on land", "Computer science", "Environmental sciences", "Geotechnical engineering", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Global Drought Monitoring and Assessment", "Land use"]}, "links": [{"href": "https://doi.org/10.5194/hess-19-4201-2015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-19-4201-2015", "name": "item", "description": "10.5194/hess-19-4201-2015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-19-4201-2015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-10-20T00:00:00Z"}}, {"id": "10.25387/g3.11522544", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:37Z", "type": "Dataset", "created": "2020-01-09", "title": "Supplemental Material for Susi\u010d et al., 2020", "description": "Supplemental data corresponding to the manuscript titled: Whole genome sequencing and comparative genomics of two nematicidal <i>Bacillus</i> strains reveals a wide range of possible virulence factors. The data include the morphological characteristics of the two studied strains; 16S analysis; detailed phylogenetic positioning of the two strains within the genus Bacillus; detailed ANI, Tetra and TCS scores; strain-specific homologous clusters and their GO-term affiliations; BLASTP hits for putative nematode-virulent proteases; putative chitinase sequences analysis; and predicted/putative secondary metabolite clusters (antiSMASH analysis).<br>", "keywords": ["FOS: Computer and information sciences", "60503 Microbial Genetics", "FOS: Biological sciences", "60408 Genomics", "Microbiology", "60501 Bacteriology", "60102 Bioinformatics"], "contacts": [{"organization": "Susi\u010d, Nik, Jane\u017ei\u010d, Sandra, Rupnik, Maja, Stare, Barbara Geri\u010d,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.25387/g3.11522544"}, {"rel": "self", "type": "application/geo+json", "title": "10.25387/g3.11522544", "name": "item", "description": "10.25387/g3.11522544", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.25387/g3.11522544"}, {"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": "10.5061/dryad.d7wm37q28", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:29Z", "type": "Dataset", "title": "Limited legacy effects of extreme multi-year drought on carbon and nitrogen cycling in a mesic grassland", "description": "unspecified<em>Study Site and Climate Conditions</em>  This study was conducted during the growing seasons (May \u2013  August) of 2018 and 2019 at the Konza Prairie Biological Station, a  native, tallgrass prairie research site located in the Flint Hills of  northeastern Kansas (39.09\u00ba N, 96.48\u00ba W). The climate consists of warm,  wet summers and dry, cold winters. Mean annual precipitation is ~835 mm  with ~75% of rainfall occurring during the growing season (April \u2013  September). Annual precipitation for the two years of the study was 811 mm  in 2018 and 971 mm in 2019, with ~64% and 75% of the precipitation  occurring during the growing season in each year, respectively (Figure  S1). For this study, we utilized a large-scale, well-replicated drought  experiment (the Extreme Drought in Grasslands Experiment, EDGE) that was  established in 2013 in an annually burned and ungrazed native tallgrass  prairie site. The site was located on a flat, level upland with relatively  deep (~1 m or more), well-drained clay loam soils characterized as silty  clay Mollisols. <em>Experimental  Design</em> The EDGE experiment imposed drought  in two ways from 2014-2017 using large rainfall exclusion shelters (n = 20  total), each 6 x 6 m in size and hydrologically isolated to a depth of ~1  m (see Griffin-Nolan et al. 2019 for more details). For the chronic  drought treatment, 10 shelters were covered with strips of clear  corrugated polycarbonate spaced so as to reduce each growing season  rainfall event by 66% (April \u2013 September). For the intense drought  treatment, the remaining 10 shelters were completely covered with panels  of clear corrugated polycarbonate to exclude all rainfall events with no  precipitation entering the intense treatment plots until a similar amount  of total growing season rainfall was excluded as the chronic treatment  (May \u2013 July), resulting in a shorter, but more intense reduction in  rainfall. \u00a0Both drought treatments resulted in a ~45% reduction in annual  rainfall. Shelter roofs were put in place in May each year for both  drought treatments. Roofs were removed each year in early Sept for the  chronic treatment, while they were removed after a similar amount of  rainfall was reduced in the intense treatment; this was typically reached  after ~ 2 months of the panels being installed (typically May \u2013 July). The  control treatment plots were unsheltered (n = 10), but still  hydrologically isolated and received ambient rainfall throughout the  growing season. The three treatments were arranged in blocks, each  containing a replicate of each treatment, for a total of 10 blocks (n = 30  plots). To assess post-drought legacy effects on C and  N cycling, we removed the shelters after the four years of drought  treatments and allowed ambient rainfall to fall onto all of the treatments  in 2018 and 2019 (the first two years following drought). This allowed us  to measure whether legacy effects were present and whether recovery  occurred. <em>Soil Sampling\u00a0  </em> In 2018 and 2019, we collected soils  monthly throughout the growing season (late May, early July, and  mid-August) to measure soil C and N cycling. We homogenized four random  soil core samples (15 cm depth x 5.7 cm diameter) collected from each  \u201cdestructive plot\u201d as detailed in Griffin-Nolan et al. (2019). The samples  were immediately placed on ice and sieved to 2 mm within 24 hours. A  subsample of these soils was kept fresh and unfrozen for laboratory-based  microbial respiration measurements. The rest of the soil was transferred  to a -20\u00b0C freezer until further analysis for all other non-in situ  measurements. All analyses on frozen soils were performed within a year  after collection. <em>Soil  Moisture</em> We measured soil moisture in both  the field and the lab to assess if soil moisture exhibited any legacies as  a mechanism for the reponses we measured. We used a hand-held TDR to  measure in-situ soil moisture to a depth of 15 cm at each time of soil  sampling. We additionally dried field-collected soil (the same soil used  to measure nutrients) for 48 hours at 60\u00b0C to calculate moisture and soil  wet soil/dry conversion factors for subsequent nutrient and enzyme  analyses. <em>Soil Nutrient Fluxes and Pools  </em> To characterize legacy effects of drought  on C and N cycling, we measured in situ belowground respiration, lab-based  soil microbial respiration, extractable inorganic N (ammonium and  nitrate), extractable total dissolved organic C and N, in situ net N  mineralization, and total soil organic C and N concentrations to measure  main components of C and N cycling. Belowground  respiration was measured in situ using a Li-Cor 8100 infrared gas sampler  (Lincoln, Nebraska). Two PVC collars were installed in each plot to a 6 cm  depth and left in the field for the duration of the growing season. All  biomass and living plants were removed from the collars at the beginning  of the season and prior to every measurement. We then used a Li-Cor 8100  infrared gas sampler to measure CO<sub>2</sub> flux from the  soil over a 60 second interval. Measurements were taken midday and during  sunny and non-windy conditions to ensure uniform conditions for each  measurement. Measurements were taken monthly in 2018 and weekly in 2019.  More detailed methods can be found in Slette et al. (2021).  To measure soil microbial respiration in the lab, we placed 30  grams of sieved, fresh soil (the fresh unfrozen subsample; extracted from  the field &lt; 24 hours prior) from each plot in a sealable mason-jar  (8 cm wide x 15 cm deep). We kept the soils at the same moisture from the  field by sealing the soils in plastic bags and sealing the jars  immediately after adding the soil. We measured microbial respiration once  within 24 hours of extracting soil by opening the jars to allow  re-equilibration with ambient CO<sub>2</sub> and then  re-sealing the jars for 1-2 hours to measure accumulated headspace  CO<sub>2</sub>. Respiration was then quantified as detailed in  Zeglin and Myrold (2013). To measure extractable  inorganic N, we extracted ammonium and nitrate from the previously frozen  soil subset collected monthly. We shook 11 g of thawed field-moist soil  with 1M KCl for 1 hour and then filtered the samples using Whatman filters  (grade 42 \u2013 2.5 mm filter). We then froze the extracts in a -20\u00b0C freezer  until analysis. Extractable N was expressed on a per gram soil dry weight  basis. To measure net N mineralization, a twelve-centimeter deep PVC tube  (3.81 cm diameter) with the top two centimeters above ground was pounded  into the ground next to the initial soil cores taken on the same date. The  PVC tubes were capped, with holes in the aboveground portion of the tubes  for gas exchange, and left in place for ~30 days. Cores were retrieved at  the end of the incubation interval, then sieved within 24 hours, frozen in  a -20\u00b0C freezer, and later extracted with 1 M KCl using the methods above.  We used an Alpkem analyzer to measure extractable ammonium and nitrate on  all KCl extracts (Saskatoon, SK). Net N mineralization was measured as the  difference between extractable inorganic N in the initial and final cores.  This was then divided by the days the cores were left in the field to  calculate a daily rate. To measure total dissolved  organic C (DOC) and N (DON), we extracted 20 g field-moist subsamples of  the previously frozen soil with 100 mL of 0.5M  K<sub>2</sub>SO<sub>4</sub>. We shook the soils  for four hours and filtered the samples using Whatman 42 filters, \u00a0then  froze the extracts in a -20\u00b0C freezer. We used a Schimadzu TOC-L analyzer  (Kyoto, Japan) to measure DOC and DON. To measure total  C and N, we oven dried the soils at 60\u00b0C for several days until the soil  was deplete of any moisture. The soils were then ground and analyzed for  total C and N in a LECO TruSpec CN combustion analyzer (St. Joseph, MI) at  the KSU Soil Testing Lab. <em>Extracellular  Enzyme Activity</em> We measured the potential  extracellular enzyme activities of several microbially-produced enzymes as  an index of nutrient limitation. We measured C-cleaving enzymes:  a-Glucosidase (AG), b-Glucosidase (BG), b-D-cellulosidase (CB), and  b-Xylosidase (XYL); N-cleaving enzymes: N-acetyl glucosaminidase (NAG) and  leucyl aminopeptidase (LAP); and phosphorus-cleaving enzymes: phosphatase  (PHOS). Substrates for each enzyme were attached to a highly fluorescent  cleavage product. The substrates for AG, BG, CB, XYL, NAG, and PHOS were  attached to 4-methylumbelliferyl (MUB), and the substrate for LAP was  attached to 7-amino-4-methylcoumarin (MUC). We added a Tris buffer  adjusted to a pH of 8 to our soils to create a soil slurry and shook our  samples for 40 minutes. We then added our samples to a 96 well-plate and  added substrates to our soil slurries with two replicates per sample.  Additionally, we created MUB and MUC standard curves for each individual  soil. To simulate standard soil conditions, the plates were incubated for  3 hours in the dark at 25\u00b0C. Fluorescence was measured using a multiplate  reader (Tecan Infinite M200 plate reader, Switzerland) with a 365-nm  excitation and 460-nm emission filters. A quench control was used. More  detailed methods can be found in Bell et al. (2013) and Trivedi et al.  (2016). We summed the C enzymes for total C enzyme activity and the N  enzymes for total N enzyme activity (Bell et al., 2013; Dove et al.,  2020). <em>Statistical  Analyses</em> To compare treatments across each  year\u2019s growing season, we calculated confidence intervals and standard  error using mixed models that accounted for repeated measures over the  growing season (monthly sampling). We conducted separate statistical  analyses for 2018 and 2019 due to the different climatic conditions of the  two years. Further discussion of why the two years were split can be found  in results 3.1. Our mixed model contained both fixed and random effects.  Time and treatment were both fixed variables with an interaction term to  account for the repeated measures aspect of this experiment (lme4  package). As mentioned previously, our experiment had a blocked design.  Blocks were treated as a random variable except for some models where we  had to treat block as a fixed variable. In our 2018 enzyme analysis, we  ran into a problem of overfitting due to block variance being estimated as  zero in the model. To correct this overfitting, we treated block as a  fixed effect and used this model to draw conclusions. Additionally, we  applied a natural log conversion to all enzyme activity data due to  unequal variances detected from the residual vs. fitted plot of the  original non-transformed models. For the belowground respiration models,  we included soil moisture as a covariate, since soil moisture has strong  effects on belowground respiration. Further, we calculated correlation  coefficients for soil moisture and belowground respiration in both years.  For all statistical analyses, we utilized R statistical software (R Core  Team, 2013) and used several packages including lme4, lmerTest, pbkrtest,  emmeans, and GGally. We also used R to create the graphics for this paper  using ggplot2 and Hmisc to create 95% confidence intervals for each  graphic.", "keywords": ["2. Zero hunger", "13. Climate action", "FOS: Biological sciences", "15. Life on land", "Post-drought period", "climate extreme", "6. Clean water", "legacy effects", "biogeochemical cycling"], "contacts": [{"organization": "Vilonen, Leena, Blair, John, Trivedi, Pankaj, Zeglin, Lydia, Smith, Melinda,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.d7wm37q28"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.d7wm37q28", "name": "item", "description": "10.5061/dryad.d7wm37q28", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.d7wm37q28"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-21T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01032", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:44Z", "type": "Journal Article", "created": "2016-06-30", "title": "Effects Of Short-Term Warming And Altered Precipitation On Soil Microbial Communities In Alpine Grassland Of The Tibetan Plateau", "description": "Open AccessSoil microbial communities are influenced by climate change drivers such as warming and altered precipitation. These changes create abiotic stresses, including desiccation and nutrient limitation, which act on microbes. However, our understanding of the responses of microbial communities to co-occurring climate change drivers is limited. We surveyed soil bacterial and fungal diversity and composition after a 1-year warming and altered precipitation manipulation in the Tibetan plateau alpine grassland. In isolation, warming and decreased precipitation treatments each had no significant effects on soil bacterial community structure; however, in combination of both treatments altered bacterial community structure (p = 0.03). The main effect of altered precipitation specifically impacted the relative abundances of Bacteroidetes and Gammaproteobacteria compared to the control, while the main effect of warming impacted the relative abundance of Betaproteobacteria. In contrast, the fungal community had no significant response to the treatments after 1-year. Using structural equation modeling (SEM), we found bacterial community composition was positively related to soil moisture. Our results indicate that short-term climate change could cause changes in soil bacterial community through taxonomic shifts. Our work provides new insights into immediate soil microbial responses to short-term stressors acting on an ecosystem that is particularly sensitive to global climate change.", "keywords": ["Abiotic component", "Microbial population biology", "Climate Change", "Soil Science", "Precipitation", "soil microbial community structure", "Microbiology", "Mathematical analysis", "Environmental science", "Agricultural and Biological Sciences", "Meteorology", "11. Sustainability", "FOS: Mathematics", "Genetics", "Climate change", "alpine grassland", "Biology", "Ecosystem", "2. Zero hunger", "Plateau (mathematics)", "Ecology", "Geography", "Bacteria", "Global warming", "Marine Microbial Diversity and Biogeography", "Life Sciences", "Microbial Diversity in Antarctic Ecosystems", "15. Life on land", "Grassland", "Community structure", "climate change", "pyrosequencing", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "soil moisture", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Mathematics"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01032"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01032", "name": "item", "description": "10.3389/fmicb.2016.01032", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01032"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-30T00:00:00Z"}}, {"id": "10.3389/fpls.2022.903661", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:47Z", "type": "Journal Article", "created": "2022-06-10", "title": "Diversity and Agronomic Performance of Lupinus mutabilis Germplasm in European and Andean Environments", "description": "<p>The introduction of Lupinus mutabilis (Andean lupin) in Europe will provide a new source of protein and oil for plant-based diets and biomass for bio-based products, while contributing to the improvement of marginal soils. This study evaluates for the first time the phenotypic variability of a large panel of L. mutabilis accessions both in their native environment and over two cropping conditions in Europe (winter crop in the Mediterranean region and summer crop in North-Central Europe), paving the way for the selection of accessions adapted to specific environments. The panel of 225 accessions included both germplasm pools from the Andean region and breeding lines from Europe. Notably, we reported higher grain yield in Mediterranean winter-cropping conditions (18 g/plant) than in the native region (9 g/plant). Instead, North European summer-cropping conditions appear more suitable for biomass production (up to 2 kg/plant). The phenotypic evaluation of 16 agronomical traits revealed significant variation in the panel. Principal component analyses pointed out flowering time, yield, and architecture-related traits as the main factors explaining variation between accessions. The Peruvian material stands out among the top-yielding accessions in Europe, characterized by early lines with high grain yield (e.g., LIB065, LIB072, and LIB155). Bolivian and Ecuadorian materials appear more valuable for the selection of genotypes for Andean conditions and for biomass production in Europe. We also observed that flowering time in the different environments is influenced by temperature accumulation. Within the panel, it is possible to identify both early and late genotypes, characterized by different thermal thresholds (600\uffc2\uffb0C\uffe2\uff80\uff93700\uffc2\uffb0C and 1,000\uffe2\uff80\uff931,200\uffc2\uffb0C GDD, respectively). Indications on top-yielding and early/late accessions, heritability of morpho-physiological traits, and their associations with grain yield are reported and remain largely environmental specific, underlining the importance of selecting useful genetic resources for specific environments. Altogether, these results suggest that the studied panel holds the genetic potential for the adaptation of L. mutabilis to Europe and provide the basis for initiating a breeding program based on exploiting the variation described herein.</p", "keywords": ["Biomass (ecology)", "0301 basic medicine", "Lupin Seeds", "Cropping", "germplasm characterization", "Plant Science", "Crop", "Plant breeding", "SB1-1110", "Evolution and Nutritional Properties of Lupin Seeds", "Agricultural and Biological Sciences", "03 medical and health sciences", "Germplasm", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "2. Zero hunger", "0303 health sciences", "biomass", "Ecology", "grain yield", "Plant culture", "Life Sciences", "Genomics and Breeding of Legume Crops", "Agriculture", "15. Life on land", "Agronomy", "Lupinus", "vegetative development", "Evolution and Ecology of Endophyte-Grass Symbiosis", "Andean lupin", "breeding", "FOS: Biological sciences", "Mediterranean Basin", "Mediterranean climate", "phenotypic diversity"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2022.903661"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2022.903661", "name": "item", "description": "10.3389/fpls.2022.903661", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2022.903661"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-10T00:00:00Z"}}, {"id": "10.3389/fsoil.2023.1240930", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:20:48Z", "type": "Journal Article", "created": "2023-07-11", "title": "Editorial: Greenhouse gas measurements in underrepresented areas of the world", "description": "Open Access\u0645\u0642\u0627\u0644 \u062a\u062d\u0631\u064a\u0631\u064a Front. Soil Sci., 11 July 2023Sec. \u0627\u0644\u0643\u064a\u0645\u064a\u0627\u0621 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0644\u0644\u062a\u0631\u0628\u0629 \u0648\u0631\u0643\u0648\u0628 \u0627\u0644\u062f\u0631\u0627\u062c\u0627\u062a \u0627\u0644\u063a\u0630\u0627\u0626\u064a\u0629 \u0627\u0644\u0645\u062c\u0644\u062f 3 - 2023 | https://doi.org/10.3389/fsoil.2023.1240930", "keywords": ["Soil nutrients", "Mechanics and Transport in Unsaturated Soils", "representativeness", "Oceanography", "Greenhouse gas", "Environmental science", "climate change mitigation", "12. Responsible consumption", "Impact of Climate Change on Forest Wildfires", "Engineering", "greenhouse gases", "Soil water", "11. Sustainability", "TA703-712", "QD1-999", "Biology", "Civil and Structural Engineering", "Soil science", "2. Zero hunger", "Global and Planetary Change", "nitrous oxide", "Geography", "Ecology", "greenhouse gas emissions", "Global Forest Drought Response and Climate Change", "methane", "carbon dioxide", "Cycling", "Geology", "Forestry", "Engineering geology. Rock mechanics. Soil mechanics. Underground construction", "FOS: Earth and related environmental sciences", "Biogeochemistry", "15. Life on land", "6. Clean water", "livestock", "Chemistry", "climate change", "Global Emissions", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Nutrient"]}, "links": [{"href": "https://doi.org/10.3389/fsoil.2023.1240930"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fsoil.2023.1240930", "name": "item", "description": "10.3389/fsoil.2023.1240930", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fsoil.2023.1240930"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-11T00:00:00Z"}}, {"id": "10.5061/dryad.qjq2bvqmv", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:33Z", "type": "Dataset", "created": "2023-12-04", "title": "Effects of plant traits and ecosystem properties on wave attenuation and soil carbon content", "description": "unspecifiedMicrosoft Excel", "keywords": ["soil organic carbon", "Tidal marshes", "13. Climate action", "plant traits", "FOS: Biological sciences", "ecosystem properties", "estuarine vegetation", "15. 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"description": "Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.", "keywords": ["Life", "FOS: Biological sciences", "Zoology"], "contacts": [{"organization": "Naturalis Biodiversity Center", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3535/0zd-xv4-j6f"}, {"rel": "self", "type": "application/geo+json", "title": "10.3535/0zd-xv4-j6f", "name": "item", "description": "10.3535/0zd-xv4-j6f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3535/0zd-xv4-j6f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-02T00:00:00Z"}}, {"id": "10.3535/1tb-y56-51q", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-01T16:21:11Z", "type": "Dataset", "title": "Nymphalidae", "description": "Digital 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Plantago lanceolata populations", "description": "unspecified# Data and R code used in: Plant geographic distribution influences  chemical defenses in native and introduced Plantago lanceolata populations  ## Description of the data  and file structure * **00_ReadMe_DescriptonVariables.csv**: A list with  the description of variables from each file used. *  **00_Metadata_Coordinates.csv :** A dataset that includes the coordinates  of each Plantago lanceolata population used. * **00_Metadata_Climate.csv  :** A dataset that includes coordinates, bioclimatic parameters, and the  results of PCA. The dataset was created based on the script  '1_Environmental variables.qmd' *  **00_Metadata_Individuals.csv:** A dataset that includes general  information about each plant individual. Information about root traits and  chemistry is missing in four samples since we lost the samples. *  **01_Datset_PlantTraits.csv:** Size-related and resource allocation traits  measured of *Plantago lanceolata* and herbivore damage. *  **02_Dataset_TargetedCompounds.csv:** Phytohormones, Iridoid glycosides,  Verbascoside and Flavonoids quantification of the leaves and roots of  *Plantago lanceolata*. Data generated from HPLC *  **03_Dataset_Volatiles_Area.csv:** Area of identified volatile compounds.  Data generated from GC-FID * **03_Dataset_Volatiles_Compounds.csv:**  Information on identified volatile compounds. Data generated from GC-MS. *  **04_Dataset_Metabolome_Negative_Metadata.txt:** Metadata for files in  negative mode * **04_Dataset_Metabolome_Negative_Intensity.xlsx :** File  with the intensity of the metabolite features in negative mode. The file  was generated from Metaboscape and adapted as required for the Notame  package. * **04_Dataset_Metabolome_Negative_Intensity_filtered.xlsx:**  File generated after preprocessing of features in negative mode. During  the notadame pacakged preprossesing 0 were converted to na *  **04_Dataset_Metabolome_Negative.msmsonly.csv:** File with a intensity of  the the metabolite features in negative mode with ms/ms data. File  generated from Metaboscape. *  **04_Results_Metabolome_Negative_canopus_compound_summary.tsv:** Feature  classification. Results generated from Sirius software. *  **04_Results_Metabolome_Negative_compound_identifications.tsv:** Feature  identification. Results generated from Sirius software. *  **05_Dataset_Metabolome_Positive_Metadata.txt:** Metadata for files in  positive mode * **05_DatasetMetabolome_Positive_Intensity.xlsx :** File  with a intensity of the the metabolite features in positive mode. File  generated from Metaboscape and adapted as required for the Notame package.  * **05_Dataset_Metabolome_Positive_Intensity_filtered:** File generated  after preprocessing of features in positive mode.During the notadame  pacakged preprossesing 0 were converted to na ## ## Code/Software *  **1_Environmental vairables.qmd:** Rscript to Retrieve bioclimatic  variables from based on the coordinates  of each population and then perform a principal components analysis to  reduce the axes variation and included the first principal component as an  explanatory variable in our model to estimate trait differences between  native and introduced populations. Figure 1b and 1d *  **2_PlantTraits_and_Herbivory:** Rscript for statistical anaylsis of  size-related traits, resource allocation traits and herbivore damage.  Figure 2. It needs to source: Model_1_Fucntion.R, Model_2_Fucntion.R,  Plot_Function.R * **3_Metabolome:** Rscript for statistical anaylsis of  *Plantago lanceolata* metabolome. Figure 3. It needs to source:  Metabolome_preprocessing_R, Model_1_Fucntion.R, Model_2_Fucntion.R,  Plot_Function.R. * **4_TargetedCompounds:** Rscript for statistical  anaylsis of *Plantago lanceolata* targeted compounds. Figure 4. It needs  to source: Model_1_Fucntion.R, Model_2_Fucntion.R, Plot_Function.R *  **5_Volatilome:** Rscript for statistical anaylsis of *Plantago  lanceolata* metabolome. Figure 5. It needs to source: Model_1_Fucntion.R,  Model_2_Fucntion.R, Plot_Function.R * **Model_1_Function.R** : Function to  run statistical models * **Model_2_Function.R** : Function to run  statistical models * **Plots_Function.R** : Function to run plot graphs *  **Metabolome_prepocessing.R:** Script to preprocess features", "keywords": ["environmental gradient", "FOS: Biological sciences", "Metabolomics", "Herbivory", "Volatile organic compounds", "iridoid glycosides", "verbascoside", "plant invasion"], "contacts": [{"organization": "Medina-van Berkum, Pamela, Schm\u00f6ckel, Eric, Bischoff, Armin, Carrasco-Farias, Natalia, Catford, Jane, Feldmann, Reinart, Groten, Karin, Henry, Hugh, Bucharova, Anna, H\u00e4nniger, Sabine, Luong, Justin, Meis, Julia, Oetama, Vincensius S. P., P\u00e4rtel, Meelis, Power, Sally, Villellas, Jesus, Welk, Erik, Wingler, Astrid, Rothe, Beate, Gershenzon, Jonathan, Reichelt, Michael, Roscher, Christiane, Unsicker, Sybille B.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.5dv41nsd1"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.5dv41nsd1", "name": "item", "description": "10.5061/dryad.5dv41nsd1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.5dv41nsd1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-08T00:00:00Z"}}, {"id": "10.5061/dryad.08kprr532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:22Z", "type": "Dataset", "title": "Rewetting does not return drained fen peatlands to their old selves", "description": "unspecifiedPeatlands, in particular groundwater-fed fens of the temperate zone, have  been drained for agriculture, forestry and peat extraction for a long time  and on a large scale. Drainage turns peatlands from a\u00a0carbon and  nutrient sink into a respective source, diminishes water regulation  capacity at the landscape scale, causes continuous surface height loss and  destroys their typical biodiversity. Over the last decades, drained  peatlands have been rewetted for biodiversity restoration and, as it  strongly decreases greenhouse gas emissions, also for climate protection.  With the dataset published here, we quantified restoration success by  comparing 320 rewetted fen peatland sites to 243 near-natural peatland  sites of similar origin across temperate Europe with regards to  biodiversity (vegetation), ecosystem functioning (hydrology, geochemistry)  and land cover characteristics based on remote sensing. Vegetation data  comes as species-specific cover values. Hydrology data covers on average  2.3 years and minimally one full year and comes as median, minimum, and  maximum water table depth. Geochemistry consists of pH and electrical  conductivity of the pore water (0-60 cm), bulk density and organic matter  content of the top soil layer (0-30 cm), all sampled in summer for all  sites included here alongside the vegetation data sampling. Land cover  characteristics contain 208 spectral-temporal metrics for a full annual  time series of Copernicus Sentinel-2 A/B data for 2018.", "keywords": ["Ecology", "13. Climate action", "FOS: Biological sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Kreyling, Juergen, Tanneberger, Franziska, Jansen, Florian, van der Linden, Sebastian, Aggenbach, Camiel, Bl\u00fcml, Volker, Couwenberg, John, Emsens, Willem-Jan, Joosten, Hans, Klimkowska, Agatha, Kotowski, Wiktor, Kozub, Lukasz, Lennartz, Bernd, Liczner, Yvonne, Liu, Haojie, Michaelis, Dierk, Oehmke, Claudia, Parakenings, Karsten, Pleyl, Elisabeth, Poyda, Arne, Raabe, Stefanie, R\u00f6hl, Markus, R\u00fccker, Kirsten, Schneider, Anett, Schrautzer, Joachim, Schr\u00f6der, Christian, Schug, Franz, Seeber, Elke, Thiel, Fabian, Thiele, Sylvia, Tiemeyer, B\u00e4rbel, Timmermann, Tiemo, Urich, Tim, van Diggelen, Rudy, Vegelin, Kees, Verbruggen, Erik, Wilmking, Martin, Wrage-M\u00f6nnig, Nicole, Wolejko, Leslaf, Zak, Dominik, Jurasinski, Gerald,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.08kprr532"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.08kprr532", "name": "item", "description": "10.5061/dryad.08kprr532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.08kprr532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-03T00:00:00Z"}}, {"id": "10.5061/dryad.0zpc86730", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:23Z", "type": "Dataset", "title": "Data for: Vegetation and soil ecology of threatened Himalayan Trillium habitats in Kashmir, Himalaya", "description": "unspecifiedData was collected by carrying out field surveys across the  different sampling sites. 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