{"type": "FeatureCollection", "features": [{"id": "1854/LU-8732814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2021-11-09", "title": "Litter quality, mycorrhizal association, and soil properties regulate effects of tree species on the soil fauna community", "description": "Abstract   Forest management, including selection of appropriate tree species to mitigate climate change and sustain biodiversity, requires a better understanding of factors that affect the composition of soil fauna communities. These communities are an integral part of the soil ecosystem and play an essential role in forest ecosystem functioning related to carbon and nitrogen cycling. Here, by performing a field study across six common gardens in Denmark, we evaluated the effects of tree species identity and mycorrhizal association (i.e., arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)) on soil fauna (meso- and macrofauna) taxonomic and functional community composition by using diversity, abundance, and biomass as proxies. We found that (1) tree species identity and mycorrhizal association both showed significant effects on soil fauna communities, but the separation between community characteristics in AM and ECM tree species was not entirely consistent; (2) total soil fauna abundance, biomass, as well as taxonomic and functional diversity were generally significantly higher under AM tree species, as well as lime, with higher litter quality (high N and base cation and low lignin:N ratio); (3) tree species significantly influenced the properties of litter, forest floor, and soil, among which litter and/or forest floor N, P, Ca, and Mg concentrations, soil pH, and soil moisture predominantly affected soil fauna abundance, biomass, and taxonomic and functional diversity. Our results from this multisite common garden experiment provide strong and consistent evidence of positive effects of tree species with higher litter quality on soil fauna communities in general, which helps to better understand the effects of tree species selection on soil biodiversity and its functions related to forest soil carbon sequestration.", "keywords": ["DECOMPOSITION", "EARTHWORMS", "Diversity", "PH", "FOREST FLOOR", "Common garden experiment", "Soil meso- and macrofauna", "DIVERSITY", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "NITROGEN", "CARBON", "Taxonomic group", "FUNCTIONAL TRAITS", "Abundance", "13. Climate action", "Earth and Environmental Sciences", "Functional group", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "ABUNDANCE", "Biomass"]}, "links": [{"href": "https://doi.org/1854/LU-8732814"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8732814", "name": "item", "description": "1854/LU-8732814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8732814"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2003.12.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:58Z", "type": "Journal Article", "created": "2004-02-10", "title": "Earthworm Biomass As Additional Information For Risk Assessment Of Heavy Metal Biomagnification: A Case Study For Dredged Sediment-Derived Soils And Polluted Floodplain Soils", "description": "The important role of earthworms in the biomagnification of heavy metals in terrestrial ecosystems is widely recognised. Differences in earthworm biomass between sites is mostly not accounted for in ecological risk assessment. These differences may be large depending on soil properties and pollution status. A survey of earthworm biomass and colonisation rate was carried out on dredged sediment-derived soils (DSDS). Results were compared with observations for the surrounding alluvial plains. Mainly grain size distribution and time since disposal determined earthworm biomass on DSDS, while soil pollution status of the DSDS was of lesser importance. Highest earthworm biomass was observed on sandy loam DSDS disposed at least 40 years ago.", "keywords": ["LUMBRICUS-RUBELLUS", "Geologic Sediments", "Time Factors", "colonisation", "COPPER", "earthworms", "CONFINED DISPOSAL FACILITIES", "alluvial", "Risk Assessment", "01 natural sciences", "ECOLOGICAL RISK", "CADMIUM", "EISENIA-FETIDA", "Metals", " Heavy", "Animals", "Soil Pollutants", "landfills", "MICROORGANISMS", "Biomass", "Oligochaeta", "Ecosystem", "risk", "0105 earth and related environmental sciences", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "CONTAMINATED SOILS", "15. Life on land", "ORGANIC-MATTER", "13. Climate action", "Earth and Environmental Sciences", "GROWTH", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2003.12.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2003.12.007", "name": "item", "description": "10.1016/j.envpol.2003.12.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2003.12.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-06-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2021.115570", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:19Z", "type": "Journal Article", "created": "2021-11-09", "title": "Litter quality, mycorrhizal association, and soil properties regulate effects of tree species on the soil fauna community", "description": "Abstract   Forest management, including selection of appropriate tree species to mitigate climate change and sustain biodiversity, requires a better understanding of factors that affect the composition of soil fauna communities. These communities are an integral part of the soil ecosystem and play an essential role in forest ecosystem functioning related to carbon and nitrogen cycling. Here, by performing a field study across six common gardens in Denmark, we evaluated the effects of tree species identity and mycorrhizal association (i.e., arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)) on soil fauna (meso- and macrofauna) taxonomic and functional community composition by using diversity, abundance, and biomass as proxies. We found that (1) tree species identity and mycorrhizal association both showed significant effects on soil fauna communities, but the separation between community characteristics in AM and ECM tree species was not entirely consistent; (2) total soil fauna abundance, biomass, as well as taxonomic and functional diversity were generally significantly higher under AM tree species, as well as lime, with higher litter quality (high N and base cation and low lignin:N ratio); (3) tree species significantly influenced the properties of litter, forest floor, and soil, among which litter and/or forest floor N, P, Ca, and Mg concentrations, soil pH, and soil moisture predominantly affected soil fauna abundance, biomass, and taxonomic and functional diversity. Our results from this multisite common garden experiment provide strong and consistent evidence of positive effects of tree species with higher litter quality on soil fauna communities in general, which helps to better understand the effects of tree species selection on soil biodiversity and its functions related to forest soil carbon sequestration.", "keywords": ["DECOMPOSITION", "EARTHWORMS", "Diversity", "PH", "FOREST FLOOR", "Common garden experiment", "Soil meso- and macrofauna", "DIVERSITY", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "NITROGEN", "CARBON", "Taxonomic group", "FUNCTIONAL TRAITS", "Abundance", "13. Climate action", "Earth and Environmental Sciences", "Functional group", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "ABUNDANCE", "Biomass"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2021.115570"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2021.115570", "name": "item", "description": "10.1016/j.geoderma.2021.115570", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2021.115570"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.1088/1748-9326/aa7145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:08Z", "type": "Journal Article", "created": "2017-05-05", "title": "Vegetation anomalies caused by antecedent precipitation in most of the world", "description": "Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availability is the most dominant factor driving vegetation globally: about 61% of the vegetated surface was primarily water-limited during 1981\u20132010. This included semiarid climates but also transitional ecoregions. Intra-annually, temperature controls Northern Hemisphere deciduous forests during the growing season, while antecedent precipitation largely dominates vegetation dynamics during the senescence period. The uncovered dependency of global vegetation on water availability is substantially larger than previously reported. This is owed to the ability of the framework to (1) disentangle the co-linearities between radiation/temperature and precipitation, and (2) quantify non-linear impacts of climate on vegetation. Our results reveal a prolonged effect of precipitation anomalies in dry regions: due to the long memory of soil moisture and the cumulative, non-linear, response of vegetation, water-limited regions show sensitivity to the values of precipitation occurring three months earlier. Meanwhile, the impacts of temperature and radiation anomalies are more immediate and dissipate shortly, pointing to a higher resilience of vegetation to these anomalies. Despite being infrequent by definition, hydro-climatic extremes are responsible for up to 10% of the vegetation variability during the 1981\u20132010 period in certain areas, particularly in water-limited ecosystems. Our approach is a first step towards a quantitative comparison of the resistance and resilience signature of different ecosystems, and can be used to benchmark Earth system models in their representations of past vegetation sensitivity to changes in climate.", "keywords": ["Science", "QC1-999", "water", "TROPICAL FORESTS", "0207 environmental engineering", "02 engineering and technology", "SOIL-MOISTURE", "Environmental technology. Sanitary engineering", "01 natural sciences", "stress", "water stress", "global vegetation", "AMAZON", "FORESTS", "CLIMATE EXTREMES", "hydro-climatic extremes", "ecosystem resilience", "DRY-SEASON", "GE1-350", "TEMPERATURE", "SATELLITE", "TD1-1066", "0105 earth and related environmental sciences", "Physics", "Q", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "Environmental sciences", "NDVI DATA", "13. Climate action", "Earth and Environmental Sciences", "GROWING-SEASON", "Granger causality", "CARBON-CYCLE"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aa7145"}, {"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/aa7145", "name": "item", "description": "10.1088/1748-9326/aa7145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aa7145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "10.1093/plcell/koac263", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:12Z", "type": "Journal Article", "created": "2022-08-26", "title": "Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress", "description": "Abstract                <p>We present unresolved questions in plant abiotic stress biology as posed by 15 research groups with expertise spanning eco-physiology to cell and molecular biology. Common themes of these questions include the need to better understand how plants detect water availability, temperature, salinity, and rising carbon dioxide (CO2) levels; how environmental signals interface with endogenous signaling and development (e.g. circadian clock and flowering time); and how this integrated signaling controls downstream responses (e.g. stomatal regulation, proline metabolism, and growth versus defense balance). The plasma membrane comes up frequently as a site of key signaling and transport events (e.g. mechanosensing and lipid-derived signaling, aquaporins). Adaptation to water extremes and rising CO2 affects hydraulic architecture and transpiration, as well as root and shoot growth and morphology, in ways not fully understood. Environmental adaptation involves tradeoffs that limit ecological distribution and crop resilience in the face of changing and increasingly unpredictable environments. Exploration of plant diversity within and among species can help us know which of these tradeoffs represent fundamental limits and which ones can be circumvented by bringing new trait combinations together. Better defining what constitutes beneficial stress resistance in different contexts and making connections between genes and phenotypes, and between laboratory and field observations, are overarching challenges.</p", "keywords": ["0301 basic medicine", "570", "Physiological", "Climate Change", "ROOT-SYSTEM ARCHITECTURE", "Plant Biology & Botany", "Plant Biology", "Plant Science", "Stress", "03 medical and health sciences", "Stress", " Physiological", "Genetics", "Life Science", "580", "2. Zero hunger", "0303 health sciences", "CLIMATE-CHANGE", "Biology and Life Sciences", "Water", "Plant Transpiration", "Cell Biology", "ABSCISIC-ACID", "Carbon Dioxide", "Plants", "15. Life on land", "ddc:", "LEAF HYDRAULIC CONDUCTANCE", "SALT STRESS", "Climate Action", "ENABLES DROUGHT ESCAPE", "FLOWERING-LOCUS-T", "13. Climate action", "ARABIDOPSIS-THALIANA", "Biochemistry and Cell Biology", "WATER-USE EFFICIENCY", "PROLINE DEHYDROGENASE CONTRIBUTES", "Focus on Climate Change and Plant Abiotic Stress"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/936666/2/burning%20questions%20for%20a%20warming%20world%20-resubmission.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/936666/3/Burning%20questions%20for%20a%20warming%20world-resubmission%20Figures.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/936666/4/koac263.pdf"}, {"href": "https://escholarship.org/content/qt48k7s53n/qt48k7s53n.pdf"}, {"href": "https://doi.org/10.1093/plcell/koac263"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Cell", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/plcell/koac263", "name": "item", "description": "10.1093/plcell/koac263", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/plcell/koac263"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-26T00:00:00Z"}}, {"id": "10.1104/pp.19.00818", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:18:19Z", "type": "Journal Article", "created": "2019-09-30", "title": "SnRK2 Protein Kinases and mRNA Decapping Machinery Control Root Development and Response to Salt", "description": "SNF1-RELATED PROTEIN KINASES 2 (SnRK2) are important components of early osmotic and salt stress signaling pathways in plants. The Arabidopsis (Arabidopsis thaliana) SnRK2 family comprises the abscisic acid (ABA)-activated protein kinases SnRK2.2, SnRK2.3, SnRK2.6, SnRK2.7, and SnRK2.8, and the ABA-independent subclass 1 protein kinases SnRK2.1, SnRK2.4, SnRK2.5, SnRK2.9, and SnRK2.10. ABA-independent SnRK2s act at the posttranscriptional level via phosphorylation of VARICOSE (VCS), a member of the mRNA decapping complex, that catalyzes the first step of 5'mRNA decay. Here, we identified VCS and VARICOSE RELATED (VCR) as interactors and phosphorylation targets of SnRK2.5, SnRK2.6, and SnRK2.10. All three protein kinases phosphorylated Ser-645 and Ser-1156 of VCS, whereas SnRK2.6 and SnRK2.10 also phosphorylated VCS Ser-692 and Ser-680 of VCR. We showed that subclass 1 SnRK2s, VCS, and 5' EXORIBONUCLEASE 4 (XRN4) are involved in regulating root growth under control conditions as well as modulating root system architecture in response to salt stress. Our results suggest interesting patterns of redundancy within subclass 1 SnRK2 protein kinases, with SnRK2.1, SnRK2.5, and SnRK2.9 controlling root growth under nonstress conditions and SnRK2.4 and SnRK2.10 acting mostly in response to salinity. We propose that subclass 1 SnRK2s function in root development under salt stress by affecting the transcript levels of aquaporins, as well as CYP79B2, an enzyme involved in auxin biosynthesis.", "keywords": ["0301 basic medicine", "570", "Arabidopsis", "Protein Serine-Threonine Kinases", "03 medical and health sciences", "HYPEROSMOTIC STRESS", "Life Science", "RNA", " Messenger", "TRITICUM-AESTIVUM L.", "Phosphorylation", "DIFFERENT PHOSPHORYLATION MECHANISMS", "Plant Proteins", "580", "0303 health sciences", "IDENTIFICATION", "Arabidopsis Proteins", "Biology and Life Sciences", "ABSCISIC-ACID", "ARABIDOPSIS", "GENE", "FAMILY", "OSMOTIC STRESSES", "Exoribonucleases", "Salts", "DECAY", "Protein Kinases", "Signal Transduction"]}, "links": [{"href": "https://doi.org/10.1104/pp.19.00818"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1104/pp.19.00818", "name": "item", "description": "10.1104/pp.19.00818", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1104/pp.19.00818"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-30T00:00:00Z"}}, {"id": "10.1186/s12862-022-02089-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:10Z", "type": "Journal Article", "created": "2022-11-17", "title": "Land use and soil characteristics affect soil organisms differently from above-ground assemblages", "description": "Abstract                 Background                 <p>Land-use is a major driver of changes in biodiversity worldwide, but studies have overwhelmingly focused on above-ground taxa: the effects on soil biodiversity are less well known, despite the importance of soil organisms in ecosystem functioning. We modelled data from a global biodiversity database to compare how the abundance of soil-dwelling and above-ground organisms responded to land use and soil properties.</p>                                Results                 <p>We found that land use affects overall abundance differently in soil and above-ground assemblages. The abundance of soil organisms was markedly lower in cropland and plantation habitats than in primary vegetation and pasture. Soil properties influenced the abundance of soil biota in ways that differed among land uses, suggesting they shape both abundance and its response to land use.</p>                                Conclusions                 <p>Our results caution against assuming models or indicators derived from above-ground data can apply to soil assemblages and highlight the potential value of incorporating soil properties into biodiversity models.</p>", "keywords": ["Land-use intensity", "0106 biological sciences", "570", "Evolution", "[SDV]Life Sciences [q-bio]", "Organism abundance", "soil biodiversity", "01 natural sciences", "soil biota", "mixed-effects models", "Soil", "land\u2011use intensity", "Land-use", " Land-use intensity", " Mixed-effects models", " Organism abundance", " Soil biodiversity", " Soil biota", "land-use", "QH359-425", "Soil biota", "land-use intensity", "Biology", "Land-use", "QH540-549.5", "Ecosystem", "Soil Microbiology", "2. Zero hunger", "Ecology", "Research", "Biology and Life Sciences", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "organism abundance", "Soil biodiversity", "Biota", "[SDV] Life Sciences [q-bio]", "Chemistry", "land\u2011use", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Human medicine", "Mixed-effects models", "mixed\u2011effects models"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/647835/1/12862_2022_Article_2089.pdf"}, {"href": "https://doi.org/10.1186/s12862-022-02089-4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BMC%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12862-022-02089-4", "name": "item", "description": "10.1186/s12862-022-02089-4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12862-022-02089-4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-17T00:00:00Z"}}, {"id": "10.17169/refubium-31202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:19:37Z", "type": "Journal Article", "created": "2021-05-21", "title": "Global data on earthworm abundance, biomass, diversity and corresponding environmental properties", "description": "Abstract<p>Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.</p>", "keywords": ["2401.17 Invertebrados", "0301 basic medicine", "592", "Data Descriptor", "Ecology and Evolutionary Biology", "earthworms", "Data Descriptor ; Biodiversity ; Biogeography ; Community ecology", "Plan_S-Compliant-OA", "https://purl.org/becyt/ford/1.6", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Diversity data", "Biomass", "S Agriculture (General)", "Ekologia ja evoluutiobiologia", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "biodiversity", "2. Zero hunger", "maaper\u00e4", "abundance", "Data", "Diversity", "0303 health sciences", "Ecology", "Q", "eli\u00f6yhteis\u00f6t", "Biodiversity", "maaper\u00e4eli\u00f6st\u00f6", "ddc:", "Computer Science Applications", "Biogeography", "2401.06 Ecolog\u00eda animal", "international", "Statistics", " Probability and Uncertainty", "environment/Ecosystems", "Information Systems", "Statistics and Probability", "Ecolog\u00eda (Biolog\u00eda)", "570", "lierot", "Science", "Invertebrados", "577", "Global database", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Library and Information Sciences", "574", "333", "soil", "eli\u00f6maantiede", "Education", "diversity", "03 medical and health sciences", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "BIODIVERSITY CHANGE", "Life Science", "Earthworms", "Datasets", "Animals", "Community ecology", "Oligochaeta", "https://purl.org/becyt/ford/1", "eartworm", "biogeography", "Ecosystem", "LAND-USE", "biomass", "500", "Biology and Life Sciences", "PLATFORM", "Global dataset", "Oligochaeta/classification", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "Ecolog\u00eda", "15. Life on land", "biodiversiteetti", "Environmental sciences", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "maaper\u00e4el\u00e4imist\u00f6", "Ecology", " evolutionary biology", "13. Climate action", "Earthworm", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "570 Life sciences; biology", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "eartworm ; abundance ; biomass ; diversity", "COMMUNITIES", "community ecology"]}, "links": [{"href": "https://www.nature.com/articles/s41597-021-00912-z.pdf"}, {"href": "https://pub.epsilon.slu.se/25868/1/phillips_h_r_p_et_al_211019.pdf"}, {"href": "https://boris.unibe.ch/165726/1/48.__Global_data_on_earthworm_abundance__biomass__diversity_and_corresponding_environmental_properties.pdf"}, {"href": "https://www.iris.unict.it/bitstream/20.500.11769/509583/1/SCIENTIFIC%20DATA%20%282021%29%20GLOBAL%20DATA%20ON%20EARTHWORMS.pdf"}, {"href": "https://rau.repository.guildhe.ac.uk/id/eprint/16454/1/Phillips_et_al-2021-Scientific_Data.pdf"}, {"href": "https://doi.org/10.17169/refubium-31202"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17169/refubium-31202", "name": "item", "description": "10.17169/refubium-31202", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17169/refubium-31202"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-21T00:00:00Z"}}, {"id": "10.3389/fpls.2021.698640", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:33Z", "type": "Journal Article", "created": "2021-08-06", "title": "High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production", "description": "<p>Understanding tree growth and carbon sequestration are of crucial interest to forecast the feedback of forests to climate change. To have a global understanding of the wood formation, it is necessary to develop new methodologies for xylogenesis measurements, valid across diverse wood structures and applicable to both angiosperms and gymnosperms. In this study, the authors present a new workflow to study xylogenesis using high-resolution X-ray computed tomography (HRXCT), which is generic and offers high potential for automatization. The HXRCT-based approach was benchmarked with the current classical approach (microtomy) on three tree species with contrasted wood anatomy (Pinus nigra, Fagus sylvatica, and Quercus robur). HRXCT proved to estimate the relevant xylogenesis parameters (timing, duration, and growth rates) across species with high accuracy. HRXCT showed to be an efficient avenue to investigate tree xylogenesis for a wide range of wood anatomies, structures, and species. HRXCT also showed its potential to provide quantification of intra-annual dynamics of biomass production through high-resolution 3D mapping of wood biomass within the forming growth ring.</p>", "keywords": ["0106 biological sciences", "[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", "XYLEM", "tree growth", "secondary growth phenology", "Plant Science", "01 natural sciences", "7. Clean energy", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "SB1-1110", "Tree growth", "Secondary growth phenology", "microtomy", "PHENOLOGY", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "FAGUS-SYLVATICA", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Biology", "TREE", "Xylogenesis", "580", "xylogenesis", "high-resolution X-ray computed tomography", "Biology and Life Sciences", "Plant culture", "Phylogenetics and taxonomy", "Microtomy", "[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics", "15. Life on land", "BEECH", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "13. Climate action", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "PLANT STRUCTURE", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "environment/Ecosystems", "Engineering sciences. Technology"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2021.698640"}, {"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.2021.698640", "name": "item", "description": "10.3389/fpls.2021.698640", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2021.698640"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-06T00:00:00Z"}}, {"id": "10.3390/biology12040593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:38Z", "type": "Journal Article", "created": "2023-04-14", "title": "Determining Tipping Points and Responses of Macroinvertebrate Traits to Abiotic Factors in Support of River Management", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Although the trait concept is increasingly used in research, quantitative relations that can support in determining ecological tipping points and serve as a basis for environmental standards are lacking. This study determines changes in trait abundance along a gradient of flow velocity, turbidity and elevation, and develops trait\u2013response curves, which facilitate the identification of ecological tipping points. Aquatic macroinvertebrates and abiotic conditions were determined at 88 different locations in the streams of the Guayas basin. After trait information collection, a set of trait diversity metrics were calculated. Negative binomial regression and linear regression were applied to relate the abundance of each trait and trait diversity metrics, respectively, to flow velocity, turbidity and elevation. Tipping points for each environmental variable in relation to traits were identified using the segmented regression method. The abundance of most traits increased with increasing velocity, while they decreased with increasing turbidity. The negative binomial regression models revealed that from a flow velocity higher than 0.5 m/s, a substantial increase in abundance occurs for several traits, and this is even more substantially noticed at values higher than 1 m/s. Furthermore, significant tipping points were also identified for elevation, wherein an abrupt decline in trait richness was observed below 22 m a.s.l., implying the need to focus water management in these altitudinal regions. Turbidity is potentially caused by erosion; thus, measures that can reduce or limit erosion within the basin should be implemented. Our findings suggest that measures mitigating the issues related to turbidity and flow velocity may lead to better aquatic ecosystem functioning. This quantitative information related to flow velocity might serve as a good basis to determine ecological flow requirements and illustrates the major impacts that hydropower dams can have in fast-running river systems. These quantitative relations between invertebrate traits and environmental conditions, as well as related tipping points, provide a basis to determine critical targets for aquatic ecosystem management, achieve improved ecosystem functioning and warrant trait diversity.</p></article>", "keywords": ["NUISANCE PARAMETER", "QH301-705.5", "BIOLOGICAL TRAITS", "Article", "flow velocity", "traits", "threshold values", "HUMAN DISTURBANCES", "14. Life underwater", "Biology (General)", "ECOLOGICAL WATER-QUALITY", "limnology", "sediments", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "turbidity", "flow velocity; limnology; river management; threshold values; tipping points; traits; sediments; turbidity", "13. Climate action", "FINE SEDIMENT", "tipping points", "AQUATIC INSECTS", "MULTIPLE-STRESSORS", "STREAM MACROINVERTEBRATES", "HABITAT SUITABILITY", "river management", "INVERTEBRATE COMMUNITIES"]}, "links": [{"href": "http://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://doi.org/10.3390/biology12040593"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/biology12040593", "name": "item", "description": "10.3390/biology12040593", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/biology12040593"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "10.3390/rs11040413", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2019-02-19", "title": "Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates", "description": "<p>The opening and closing of plant stomata regulates the global water, carbon and energy cycles. Biophysical feedbacks on climate are highly dependent on transpiration, which is mediated by vegetation phenology and plant responses to stress conditions. Here, we explore the potential of satellite observations of solar-induced chlorophyll fluorescence (SIF)\uffe2\uff80\uff94normalized by photosynthetically-active radiation (PAR)\uffe2\uff80\uff94to diagnose the ratio of transpiration to potential evaporation (\uffe2\uff80\uff98transpiration efficiency\uffe2\uff80\uff99, \uffcf\uff84). This potential is validated at 25 eddy-covariance sites from seven biomes worldwide. The skill of the state-of-the-art land surface models (LSMs) from the eartH2Observe project to estimate \uffcf\uff84 is also contrasted against eddy-covariance data. Despite its relatively coarse (0.5\uffc2\uffb0) resolution, SIF/PAR estimates, based on data from the Global Ozone Monitoring Experiment 2 (GOME-2) and the Clouds and Earth\uffe2\uff80\uff99s Radiant Energy System (CERES), correlate to the in situ \uffcf\uff84 significantly (average inter-site correlation of 0.59), with higher correlations during growing seasons (0.64) compared to decaying periods (0.53). In addition, the skill to diagnose the variability of in situ \uffcf\uff84 demonstrated by all LSMs is on average lower, indicating the potential of SIF data to constrain the formulations of transpiration in global models via, e.g., data assimilation. Overall, SIF/PAR estimates successfully capture the effect of phenological changes and environmental stress on natural ecosystem transpiration, adequately reflecting the timing of this variability without complex parameterizations.</p>", "keywords": ["VEGETATION DYNAMICS", "Science", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "solar-induced chlorophyll fluorescence", "02 engineering and technology", "01 natural sciences", "transpiration", "CARBON", "GOME-2", "WATER", "PLANT", "0105 earth and related environmental sciences", "EVAPOTRANSPIRATION", "Q", "Biology and Life Sciences", "15. Life on land", "MODEL", "EVAPORATION", "SOIL", "PARTITIONING", "transpiration efficiency", "efficiency", "13. Climate action", "Earth and Environmental Sciences", "INDUCED CHLOROPHYLL FLUORESCENCE", "solar-induced chlorophyll fluorescence; transpiration; transpiration efficiency; GOME-2; eddy-covariance", "eddy-covariance"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/11/4/413/pdf"}, {"href": "https://doi.org/10.3390/rs11040413"}, {"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/rs11040413", "name": "item", "description": "10.3390/rs11040413", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs11040413"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-18T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:48Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "<p>Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.</p>", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"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/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10.3390/cells9092026", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:39Z", "type": "Journal Article", "created": "2020-09-03", "title": "Chemical Genetics Approach Identifies Abnormal Inflorescence Meristem 1 as a Putative Target of a Novel Sulfonamide That Protects Catalase2-Deficient Arabidopsis against Photorespiratory Stress", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Alterations of hydrogen peroxide (H2O2) levels have a profound impact on numerous signaling cascades orchestrating plant growth, development, and stress signaling, including programmed cell death. To expand the repertoire of known molecular mechanisms implicated in H2O2 signaling, we performed a forward chemical screen to identify small molecules that could alleviate the photorespiratory-induced cell death phenotype of Arabidopsisthaliana mutants lacking H2O2-scavenging capacity by peroxisomal catalase2. Here, we report the characterization of pakerine, an m-sulfamoyl benzamide from the sulfonamide family. Pakerine alleviates the cell death phenotype of cat2 mutants exposed to photorespiration-promoting conditions and delays dark-induced senescence in wild-type Arabidopsis leaves. By using a combination of transcriptomics, metabolomics, and affinity purification, we identified abnormal inflorescence meristem 1 (AIM1) as a putative protein target of pakerine. AIM1 is a 3-hydroxyacyl-CoA dehydrogenase involved in fatty acid \u03b2-oxidation that contributes to jasmonic acid (JA) and salicylic acid (SA) biosynthesis. Whereas intact JA biosynthesis was not required for pakerine bioactivity, our results point toward a role for \u03b2-oxidation-dependent SA production in the execution of H2O2-mediated cell death.</p></article>", "keywords": ["EXPRESSION", "0106 biological sciences", "0301 basic medicine", "photorespiration", "Cell Respiration", "Meristem", "Arabidopsis", "Cyclopentanes", "catalase2-deficient <i>Arabidopsis</i>", "01 natural sciences", "Article", "ACTIVATION", "catalase2-deficient Arabidopsis", "03 medical and health sciences", "HYDROGEN-PEROXIDE", "Hydroponics", "Gene Expression Regulation", " Plant", "Multienzyme Complexes", "Stress", " Physiological", "Plant Cells", "SALICYLIC-ACID BIOSYNTHESIS", "H<sub>2</sub>O<sub>2</sub> signaling", "Medicine and Health Sciences", "abnormal inflorescence meristem 1", "LEAF SENESCENCE", "Oxylipins", "Photosynthesis", "2. Zero hunger", "QH573-671", "Cell Death", "Arabidopsis Proteins", "Gene Expression Profiling", "Biology and Life Sciences", "Computational Biology", "Hydrogen Peroxide", "ARABIDOPSIS", "MULTIFUNCTIONAL PROTEIN", "3. Good health", "PEROXISOMAL BETA-OXIDATION", "Plant Leaves", "chemical genetics", "CELL-DEATH", "PHENYLALANINE AMMONIA-LYASE", "Seeds", "Cytology", "Salicylic Acid", "H2O2 signaling", "Signal Transduction"]}, "links": [{"href": "http://www.mdpi.com/2073-4409/9/9/2026/pdf"}, {"href": "https://doi.org/10.3390/cells9092026"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cells", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/cells9092026", "name": "item", "description": "10.3390/cells9092026", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/cells9092026"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-02T00:00:00Z"}}, {"id": "10.5194/bg-16-4851-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2019-12-20", "title": "\"Global biosphere\u2013climate interaction: a causal appraisal of observations and models over multiple temporal scales\"", "description": "<p>Abstract. Improving the skill of Earth system models (ESMs) in representing climate\uffe2\uff80\uff93vegetation interactions is crucial to enhance our predictions of future climate and ecosystem functioning. Therefore, ESMs need to correctly simulate the impact of climate on vegetation, but likewise feedbacks of vegetation on climate must be adequately represented. However, model predictions at large spatial scales remain subjected to large uncertainties, mostly due to the lack of observational patterns to benchmark them. Here, the bidirectional nature of climate\uffe2\uff80\uff93vegetation interactions is explored across multiple temporal scales by adopting a spectral Granger causality framework that allows identification of potentially co-dependent variables. Results based on global and multi-decadal records of remotely sensed leaf area index (LAI) and observed atmospheric data show that the climate control on vegetation variability increases with longer temporal scales, being higher at inter-annual than multi-month scales. Globally, precipitation is the most dominant driver of vegetation at monthly scales, particularly in (semi-)arid regions. The seasonal LAI variability in energy-driven latitudes is mainly controlled by radiation, while air temperature controls vegetation growth and decay in high northern latitudes at inter-annual scales. These observational results are used as a benchmark to evaluate four ESM simulations from the Coupled Model Intercomparison Project Phase\uffc2\uffa05 (CMIP5). Findings indicate a tendency of ESMs to over-represent the climate control on LAI dynamics and a particular overestimation of the dominance of precipitation in arid and semi-arid regions at inter-annual scales. Analogously, CMIP5 models overestimate the control of air temperature on seasonal vegetation variability, especially in forested regions. Overall, climate impacts on LAI are found to be stronger than the feedbacks of LAI on climate in both observations and models; in other words, local climate variability leaves a larger imprint on temporal LAI dynamics than vice versa. Note however that while vegetation reacts directly to its local climate conditions, the spatially collocated character of the analysis does not allow for the identification of remote feedbacks, which might result in an underestimation of the biophysical effects of vegetation on climate. Nonetheless, the widespread effect of LAI variability on radiation, as observed over the northern latitudes due to albedo changes, is overestimated by the CMIP5 models. Overall, our experiments emphasise the potential of benchmarking the representation of particular interactions in online ESMs using causal statistics in combination with observational data, as opposed to the more conventional evaluation of the magnitude and dynamics of individual variables.                     </p>", "keywords": ["0301 basic medicine", "Evolution", "LAND-SURFACE MODELS", "01 natural sciences", "RECENT TRENDS", "03 medical and health sciences", "Behavior and Systematics", "Life", "QH501-531", "NET PRIMARY PRODUCTION", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "EARTH SYSTEM MODEL", "Ecology", "LEAF-AREA INDEX", "Biology and Life Sciences", "Geology", "15. Life on land", "DATA SETS", "13. Climate action", "Earth and Environmental Sciences", "FEEDBACKS", "CO2", "VEGETATION", "SENSITIVITY"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/4851/2019/bg-16-4851-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-4851-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-4851-2019", "name": "item", "description": "10.5194/bg-16-4851-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-4851-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-20T00:00:00Z"}}, {"id": "10.5194/bg-16-3747-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:23Z", "type": "Journal Article", "created": "2019-10-02", "title": "Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities", "description": "<p>Abstract. Evaporation (E) and transpiration (T) respond differently to ongoing changes in climate, atmospheric composition, and land use. It is difficult to partition ecosystem-scale evapotranspiration (ET) measurements into E and T, which makes it difficult to validate satellite data and land surface models. Here, we review current progress in partitioning E and T and provide a prospectus for how to improve theory and observations going forward. Recent advancements in analytical techniques create new opportunities for partitioning E and T at the ecosystem scale, but their assumptions have yet to be fully tested. For example, many approaches to partition E and T rely on the notion that plant canopy conductance and ecosystem water use efficiency exhibit optimal responses to atmospheric vapor pressure deficit (D). We use observations from 240 eddy covariance flux towers to demonstrate that optimal ecosystem response to D is a reasonable assumption, in agreement with recent studies, but more analysis is necessary to determine the conditions for which this assumption holds. Another critical assumption for many partitioning approaches is that ET can be approximated as T during ideal transpiring conditions, which has been challenged by observational studies. We demonstrate that T can exceed 95\uffe2\uff80\uff89% of ET from certain ecosystems, but other ecosystems do not appear to reach this value, which suggests that this assumption is ecosystem-dependent with implications for partitioning. It is important to further improve approaches for partitioning E and T, yet few multi-method comparisons have been undertaken to date. Advances in our understanding of carbon\uffe2\uff80\uff93water coupling at the stomatal, leaf, and canopy level open new perspectives on how to quantify T via its strong coupling with photosynthesis. Photosynthesis can be constrained at the ecosystem and global scales with emerging data sources including solar-induced fluorescence, carbonyl sulfide flux measurements, thermography, and more. Such comparisons would improve our mechanistic understanding of ecosystem water fluxes and provide the observations necessary to validate remote sensing algorithms and land surface models to understand the changing global water cycle.                     </p>", "keywords": ["550", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "Life", "CARBONYL SULFIDE COS", "QH501-531", "SOIL-WATER", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "info:eu-repo/classification/ddc/550", "VAPOR-PRESSURE DEFICIT", "RAINFALL INTERCEPTION", "Ecology", "ddc:550", "Biology and Life Sciences", "Geology", "STABLE-ISOTOPE", "15. Life on land", "540", "6. Clean water", "SURFACE-ENERGY BALANCE", "Environmental sciences", "Earth sciences", "Ecology", " evolutionary biology", "13. Climate action", "Earth and Environmental Sciences", "NET PRIMARY PRODUCTIVITY", "WATER-USE EFFICIENCY", "Geosciences", "EDDY COVARIANCE DATA"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/3747/2019/bg-16-3747-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-3747-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-3747-2019", "name": "item", "description": "10.5194/bg-16-3747-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-3747-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.5194/gmd-11-4139-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:33Z", "type": "Journal Article", "created": "2018-04-25", "title": "Global hydro-climatic biomes identified via multitask learning", "description": "<p>Abstract. The most widely-used global land cover and climate classifications are based on vegetation characteristics and/or climatic conditions derived from observational data. However, these classification schemes do not directly stem from the interaction between the local climate and the biotic environment. In this work, we model the dynamic interplay between vegetation and local climate in order to delineate ecoregions that share a coherent response to hydro-climate variability. Our novel framework is based on a multi-task learning approach that discovers the spatial relationships among different locations by learning a low-dimensional representation of predictive structures. This low-dimensional representation is combined with a clustering algorithm that yields a classification of biomes with coherent behaviour. Experimental results using global observation-based data sets indicate that, without the need to prescribe any land cover information, our method is able to identify regions of coherent climate-vegetation interactions that agree well with the expectations derived from traditional global land cover maps. The resulting global hydro-climatic biomes can be used to analyse the anomalous behaviour of specific ecosystems in response to climate extremes and to benchmark climate-vegetation interactions in Earth system models.                         </p>", "keywords": ["0301 basic medicine", "QE1-996.5", "0303 health sciences", "INCREASES", "MODELS", "0207 environmental engineering", "Biology and Life Sciences", "INVESTIGATE", "UNCERTAINTY", "Geology", "WORLD MAP", "02 engineering and technology", "15. Life on land", "FRAMEWORK", "01 natural sciences", "CLASSIFICATION", "03 medical and health sciences", "CONTEXT", "13. Climate action", "Earth and Environmental Sciences", "VEGETATION", "GEOGRAPHICALLY WEIGHTED REGRESSION", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/11/4139/2018/gmd-11-4139-2018.pdf"}, {"href": "https://doi.org/10.5194/gmd-11-4139-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-11-4139-2018", "name": "item", "description": "10.5194/gmd-11-4139-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-11-4139-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-25T00:00:00Z"}}, {"id": "10044/1/101414", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:11Z", "type": "Journal Article", "created": "2022-11-17", "title": "Land use and soil characteristics affect soil organisms differently from above-ground assemblages", "description": "Abstract                 Background                 <p>Land-use is a major driver of changes in biodiversity worldwide, but studies have overwhelmingly focused on above-ground taxa: the effects on soil biodiversity are less well known, despite the importance of soil organisms in ecosystem functioning. We modelled data from a global biodiversity database to compare how the abundance of soil-dwelling and above-ground organisms responded to land use and soil properties.</p>                                Results                 <p>We found that land use affects overall abundance differently in soil and above-ground assemblages. The abundance of soil organisms was markedly lower in cropland and plantation habitats than in primary vegetation and pasture. Soil properties influenced the abundance of soil biota in ways that differed among land uses, suggesting they shape both abundance and its response to land use.</p>                                Conclusions                 <p>Our results caution against assuming models or indicators derived from above-ground data can apply to soil assemblages and highlight the potential value of incorporating soil properties into biodiversity models.</p>", "keywords": ["Land-use intensity", "0106 biological sciences", "570", "Evolution", "[SDV]Life Sciences [q-bio]", "Organism abundance", "soil biodiversity", "01 natural sciences", "soil biota", "mixed-effects models", "Soil", "land\u2011use intensity", "Land-use", " Land-use intensity", " Mixed-effects models", " Organism abundance", " Soil biodiversity", " Soil biota", "land-use", "QH359-425", "Soil biota", "land-use intensity", "Biology", "Land-use", "QH540-549.5", "Ecosystem", "Soil Microbiology", "2. Zero hunger", "Ecology", "Research", "Biology and Life Sciences", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "organism abundance", "Soil biodiversity", "Biota", "ddc:", "[SDV] Life Sciences [q-bio]", "Chemistry", "land\u2011use", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Human medicine", "Mixed-effects models", "mixed\u2011effects models"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/647835/1/12862_2022_Article_2089.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1186/s12862-022-02089-4.pdf"}, {"href": "https://doi.org/10044/1/101414"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BMC%20Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/101414", "name": "item", "description": "10044/1/101414", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/101414"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-17T00:00:00Z"}}, {"id": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:48Z", "type": "Journal Article", "created": "2023-04-14", "title": "Determining Tipping Points and Responses of Macroinvertebrate Traits to Abiotic Factors in Support of River Management", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Although the trait concept is increasingly used in research, quantitative relations that can support in determining ecological tipping points and serve as a basis for environmental standards are lacking. This study determines changes in trait abundance along a gradient of flow velocity, turbidity and elevation, and develops trait\u2013response curves, which facilitate the identification of ecological tipping points. Aquatic macroinvertebrates and abiotic conditions were determined at 88 different locations in the streams of the Guayas basin. After trait information collection, a set of trait diversity metrics were calculated. Negative binomial regression and linear regression were applied to relate the abundance of each trait and trait diversity metrics, respectively, to flow velocity, turbidity and elevation. Tipping points for each environmental variable in relation to traits were identified using the segmented regression method. The abundance of most traits increased with increasing velocity, while they decreased with increasing turbidity. The negative binomial regression models revealed that from a flow velocity higher than 0.5 m/s, a substantial increase in abundance occurs for several traits, and this is even more substantially noticed at values higher than 1 m/s. Furthermore, significant tipping points were also identified for elevation, wherein an abrupt decline in trait richness was observed below 22 m a.s.l., implying the need to focus water management in these altitudinal regions. Turbidity is potentially caused by erosion; thus, measures that can reduce or limit erosion within the basin should be implemented. Our findings suggest that measures mitigating the issues related to turbidity and flow velocity may lead to better aquatic ecosystem functioning. This quantitative information related to flow velocity might serve as a good basis to determine ecological flow requirements and illustrates the major impacts that hydropower dams can have in fast-running river systems. These quantitative relations between invertebrate traits and environmental conditions, as well as related tipping points, provide a basis to determine critical targets for aquatic ecosystem management, achieve improved ecosystem functioning and warrant trait diversity.</p></article>", "keywords": ["NUISANCE PARAMETER", "QH301-705.5", "BIOLOGICAL TRAITS", "Article", "flow velocity", "traits", "threshold values", "HUMAN DISTURBANCES", "14. Life underwater", "Biology (General)", "ECOLOGICAL WATER-QUALITY", "limnology", "sediments", "Biology and Life Sciences", "15. Life on land", "6. Clean water", "turbidity", "flow velocity; limnology; river management; threshold values; tipping points; traits; sediments; turbidity", "13. Climate action", "FINE SEDIMENT", "tipping points", "AQUATIC INSECTS", "MULTIPLE-STRESSORS", "STREAM MACROINVERTEBRATES", "HABITAT SUITABILITY", "river management", "INVERTEBRATE COMMUNITIES"]}, "links": [{"href": "http://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://www.mdpi.com/2079-7737/12/4/593/pdf"}, {"href": "https://doi.org/1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "name": "item", "description": "1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01GZNG9XD0YQ88N9VFWJ230QK9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-13T00:00:00Z"}}, {"id": "1854/LU-01HGJD6DQK17V1TCWPYZC7YGH8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:48Z", "type": "Journal Article", "created": "2023-09-22", "title": "Using Science and Technology to Unveil The Hidden Delicacy Terfezia arenaria, a Desert Truffle", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Terfezia arenaria is a desert truffle native to the Mediterranean Basin region, highly appreciated for its nutritional and aromatic properties. Despite the increasing interest in this desert truffle, T. arenaria is not listed as an edible truffle authorized for trade in the European Union. Therefore, our objective was to showcase T. arenaria\u2019s nutritional and chemical composition and volatile profile. The nutritional analysis showed that T. arenaria is a good source of carbohydrates (67%), proteins (14%), and dietary fibre (10%), resulting in a Nutri-Score A. The truffle\u2019s volatile profile was dominated by eight-carbon volatile compounds, with 1-octen-3-ol being the most abundant (64%), and 29 compounds were reported for the first time for T. arenaria. T. arenaria\u2019s nutritional and chemical compositions were similar to those of four commercial mushroom and truffle species, while the aromatic profile was not. An electronic nose corroborated that T. arenaria\u2018s aromatic profile differs from that of the other four tested mushroom and truffle species. Our data showed that T. arenaria is a valuable food resource with a unique aroma and an analogous composition to meat, which makes it an ideal source for plant-based meat products. Our findings could help promote a sustainable future exploitation of T. arenaria and ensure the quality and authenticity of this delicacy.</p></article>", "keywords": ["electronic nose", "mushrooms and truffles", "plant-based meat", "nutritional composition", "CLAVERYI", "MUSHROOMS", "Chemical technology", "ELECTRONIC NOSE", "FOOD SECURITY", "Biology and Life Sciences", "IN-VITRO", "TP1-1185", "VOLATILE ORGANIC-COMPOUNDS", "NUTRITIONAL-VALUE", "CHEMICAL-COMPOSITION", "PLEUROTUS-OSTREATUS", "desert truffles", "Article", "volatile organic compounds", "GC-MS"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/59752/1/Ferreira%20et%20al%202023_Foods.pdf"}, {"href": "https://www.mdpi.com/2304-8158/12/19/3527/pdf"}, {"href": "https://doi.org/1854/LU-01HGJD6DQK17V1TCWPYZC7YGH8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Foods", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01HGJD6DQK17V1TCWPYZC7YGH8", "name": "item", "description": "1854/LU-01HGJD6DQK17V1TCWPYZC7YGH8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01HGJD6DQK17V1TCWPYZC7YGH8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-22T00:00:00Z"}}, {"id": "1854/LU-01HGJDFDZ9Q1AC2RW5NYCK987M", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2023-03-13", "title": "Finding optimal microorganisms to increase crop productivity and sustainability under drought \u2013 a structured reflection", "description": "ABSTRACTConsidering the more frequent and longer drought events due to climate change, improving plant drought tolerance became a priority. The search for plant growth promoting rhizobacteria (PGPR) able to improve plant drought tolerance has been long addressed, but with inconsistent results. Here, we summarize the PGPR mechanisms that improve plant drought tolerance, identify the pitfalls in current PGPR isolation and selection routines, and discuss the key points to define new strategies to get optimal PGPR for plant drought tolerance. Drought and host genotype impact rhizo-communities, and host-mediated selection strategies may be used to obtain a drought-adapted rhizomicrobiome that can be a source for PGPR isolation. Alternatively, an integrated omics-level analysis can improve our knowledge on the mechanisms of rhizomicrobiome construction, and a targeted approach can be designed, which will be focused on key PGP traits. New strategies to build PGPR consortia for improvement of plant drought tolerance are also suggested.", "keywords": ["2. Zero hunger", "Drought; PGPR isolation; PGPR screening; Plant- rhizomicrobiome interactions", "Drought", "MICROBIAL COMMUNITY", "BACILLUS-AMYLOLIQUEFACIENS", "PGPR screening", "Biology and Life Sciences", "Plant culture", "THERMOPHILIC BACTERIA", "15. Life on land", "Plant-rhizomicrobiome interactions", "6. Clean water", "SB1-1110", "PSEUDOMONAS-PUTIDA", "13. Climate action", "PLANT-GROWTH", "ARABIDOPSIS-THALIANA", "QK900-989", "WATER-STRESS", "Plant ecology", "ROOT COLONIZATION", "GROWTH-PROMOTING RHIZOBACTERIA", "GENE-EXPRESSION", "PGPR isolation"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/59998/1/Rosa%20et%20al%202023.pdf"}, {"href": "https://repositorio.ulisboa.pt/bitstream/10451/59563/1/Finding%20optimal%20microorganisms%20to%20increase%20crop%20productivity%20and%20sustainability%20under%20drought%20%20%20a%20structured%20reflection.pdf"}, {"href": "https://www.tandfonline.com/doi/pdf/10.1080/17429145.2023.2178680"}, {"href": "https://doi.org/1854/LU-01HGJDFDZ9Q1AC2RW5NYCK987M"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Interactions", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01HGJDFDZ9Q1AC2RW5NYCK987M", "name": "item", "description": "1854/LU-01HGJDFDZ9Q1AC2RW5NYCK987M", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01HGJDFDZ9Q1AC2RW5NYCK987M"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-12T00:00:00Z"}}, {"id": "1854/LU-01KAB9KFWBCYFKX8433R94XMFK", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2025-09-26", "title": "The Toxicity of Microplastics Explorer (ToMEx) 2.0", "description": "In 2021 the Toxicity of Microplastics Explorer (ToMEx, https://microplastics.sccwrp.org) was released as an open source, open access database and web application for microplastics toxicity. Since then, it has been utilized by the microplastic research community for the exploration, visualization, and analysis of toxicity data for both hazard characterization and risk assessment. The peer-reviewed literature has continued to grow exponentially, making ToMEx out-of-date. To ensure the continued utility of ToMEx, an international crowd-sourcing approach was utilized to update ToMEx by extracting data from additional studies published since the original release. Through this process, both the aquatic and human health ToMEx databases roughly doubled in size, and modest increases in data diversity (e.g., number of species represented, types of test particles) were observed in the aquatic organisms database. However, most trends (e.g., greater toxicities observed with smaller particle sizes, lack of dose-response data etc.) observed in the first iteration of ToMEx remained constant. A previously developed framework for deriving ecological health-based microplastic thresholds using species sensitivity distributions was reapplied to determine how thresholds and their associated uncertainty intervals would change following the database update. Twelve new studies passed minimum screening criteria and were deemed fit for the purpose of threshold derivation. The addition of new data allowed for the separation of freshwater and marine compartments which had previously been combined due to a lack of applicable toxicity data for freshwater species. When molecular and cellular level endpoints were included, freshwater thresholds were comparable or increased from values calculated using previous data (-5 to 2.5-fold change) whereas marine thresholds dramatically decreased (-5000 to -29-fold change). However, when endpoints were restricted to organism and above, marine and freshwater thresholds were comparable to those calculated previously (-20 to 14-fold change). Confidence intervals for both marine and freshwater thresholds remained wide. The doubling of the database increases the value of ToMEx for researchers, particularly those focused on characterizing hazards associated with microplastics. Its utility remains limited for environmental managers as 89% of studies in ToMEx 2.0 failed to meet minimum screening criteria for threshold derivation, highlighting the need to generate fit-for-purpose toxicity data for threshold development. However, ToMEx continues to be a useful research tool, and future iterations could become even more powerful through novel artificial intelligence applications to streamline data curation and even predict toxicological outcomes.", "keywords": ["Database", "Toxicity", "Aquatic organisms", "Earth and Environmental Sciences", "Research", "Microplastic", "Medicine and Health Sciences", "Human health", "Biology and Life Sciences"], "contacts": [{"organization": "Hampton, Leah M. Thornton, Wyler, Dana Briggs, Almroth, Bethanie Carney, Coffin, Scott, Cowger, Win, Doyle, Darragh, Hataley, Eden K., Hutton, Sara J., Mair, Magdalena M., Miller, Ezra L., Moncl\u00fas, Laura, Sharpe, Emma E., Samreen, Siddiqui, Ahmed, Kazi Towsif, Allamby, Quinn P. V., Vital, Ana L. Antonio, Asnicar, Davide, Bare, Jennifer L., Barrick, Andrew, Berreman, Katherine, Bertrand, Lidwina, Boone, Virginia, Bour, Agathe, Brehm, Julian, Carrasco-Navarro, Victor, Cook, Travis, Covernton, Garth A., Cubanski, Patricia, Da Silva, Pedro M. C., de Souza Leite, Luan, Gene, Sam M., Hermabessiere, Ludovic, Hooge, Asta, Iwasaki, Yuichi, Klasios, Natasha, Knauss, Christine M., Kardgar, Azora K\u00f6nig, Kropf, Philipp, Kudu, Isaac B., Kukkola, Anna, Laforsch, Christian, Kennedy, Stephanie B., Leusch, Frederic D. L., Li, Lucy Wei, Lu, Hsuan-Cheng, Mahan, Judd, Saif, Uddin Md, Mondellini, Simona, Norman, John P., Pandelides, Zacharias, Petersson, Tove, Philibert, Danielle A., Kvist, Elina, Ramsperger, Anja F. R. M., Rigutto, Gabrielle, Ritschar, Sven, Sandgaard, Monica H., Schmitt, Jona, Schott, Matthias, Schwarzer, Michael, Seabrook, Katryna J., Seifried, Teresa M., Sepahi, Rohan, Si\u00f1a, Mariella, Testoff, Alex N., Vercauteren, Maaike, Wardlaw, Colleen M., Yeh, Andrew, Zajac-Fay, Rachel, Mehinto, Alvine C.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1854/LU-01KAB9KFWBCYFKX8433R94XMFK"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microplastics%20and%20Nanoplastics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01KAB9KFWBCYFKX8433R94XMFK", "name": "item", "description": "1854/LU-01KAB9KFWBCYFKX8433R94XMFK", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01KAB9KFWBCYFKX8433R94XMFK"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-26T00:00:00Z"}}, {"id": "1854/LU-8632050", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2019-09-30", "title": "SnRK2 Protein Kinases and mRNA Decapping Machinery Control Root Development and Response to Salt", "description": "SNF1-RELATED PROTEIN KINASES 2 (SnRK2) are important components of early osmotic and salt stress signaling pathways in plants. The Arabidopsis (Arabidopsis thaliana) SnRK2 family comprises the abscisic acid (ABA)-activated protein kinases SnRK2.2, SnRK2.3, SnRK2.6, SnRK2.7, and SnRK2.8, and the ABA-independent subclass 1 protein kinases SnRK2.1, SnRK2.4, SnRK2.5, SnRK2.9, and SnRK2.10. ABA-independent SnRK2s act at the posttranscriptional level via phosphorylation of VARICOSE (VCS), a member of the mRNA decapping complex, that catalyzes the first step of 5'mRNA decay. Here, we identified VCS and VARICOSE RELATED (VCR) as interactors and phosphorylation targets of SnRK2.5, SnRK2.6, and SnRK2.10. All three protein kinases phosphorylated Ser-645 and Ser-1156 of VCS, whereas SnRK2.6 and SnRK2.10 also phosphorylated VCS Ser-692 and Ser-680 of VCR. We showed that subclass 1 SnRK2s, VCS, and 5' EXORIBONUCLEASE 4 (XRN4) are involved in regulating root growth under control conditions as well as modulating root system architecture in response to salt stress. Our results suggest interesting patterns of redundancy within subclass 1 SnRK2 protein kinases, with SnRK2.1, SnRK2.5, and SnRK2.9 controlling root growth under nonstress conditions and SnRK2.4 and SnRK2.10 acting mostly in response to salinity. We propose that subclass 1 SnRK2s function in root development under salt stress by affecting the transcript levels of aquaporins, as well as CYP79B2, an enzyme involved in auxin biosynthesis.", "keywords": ["0301 basic medicine", "570", "Arabidopsis", "Protein Serine-Threonine Kinases", "03 medical and health sciences", "HYPEROSMOTIC STRESS", "Life Science", "RNA", " Messenger", "TRITICUM-AESTIVUM L.", "Phosphorylation", "DIFFERENT PHOSPHORYLATION MECHANISMS", "Plant Proteins", "580", "0303 health sciences", "IDENTIFICATION", "Arabidopsis Proteins", "Biology and Life Sciences", "ABSCISIC-ACID", "ARABIDOPSIS", "GENE", "FAMILY", "OSMOTIC STRESSES", "Exoribonucleases", "Salts", "DECAY", "Protein Kinases", "Signal Transduction"]}, "links": [{"href": "https://doi.org/1854/LU-8632050"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8632050", "name": "item", "description": "1854/LU-8632050", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8632050"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-30T00:00:00Z"}}, {"id": "1854/LU-8674409", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Journal Article", "created": "2020-09-03", "title": "Chemical Genetics Approach Identifies Abnormal Inflorescence Meristem 1 as a Putative Target of a Novel Sulfonamide That Protects Catalase2-Deficient Arabidopsis against Photorespiratory Stress", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Alterations of hydrogen peroxide (H2O2) levels have a profound impact on numerous signaling cascades orchestrating plant growth, development, and stress signaling, including programmed cell death. To expand the repertoire of known molecular mechanisms implicated in H2O2 signaling, we performed a forward chemical screen to identify small molecules that could alleviate the photorespiratory-induced cell death phenotype of Arabidopsisthaliana mutants lacking H2O2-scavenging capacity by peroxisomal catalase2. Here, we report the characterization of pakerine, an m-sulfamoyl benzamide from the sulfonamide family. Pakerine alleviates the cell death phenotype of cat2 mutants exposed to photorespiration-promoting conditions and delays dark-induced senescence in wild-type Arabidopsis leaves. By using a combination of transcriptomics, metabolomics, and affinity purification, we identified abnormal inflorescence meristem 1 (AIM1) as a putative protein target of pakerine. AIM1 is a 3-hydroxyacyl-CoA dehydrogenase involved in fatty acid \u03b2-oxidation that contributes to jasmonic acid (JA) and salicylic acid (SA) biosynthesis. Whereas intact JA biosynthesis was not required for pakerine bioactivity, our results point toward a role for \u03b2-oxidation-dependent SA production in the execution of H2O2-mediated cell death.</p></article>", "keywords": ["EXPRESSION", "0106 biological sciences", "0301 basic medicine", "photorespiration", "Cell Respiration", "Meristem", "Arabidopsis", "Cyclopentanes", "catalase2-deficient <i>Arabidopsis</i>", "01 natural sciences", "Article", "ACTIVATION", "catalase2-deficient Arabidopsis", "03 medical and health sciences", "HYDROGEN-PEROXIDE", "Hydroponics", "Gene Expression Regulation", " Plant", "Multienzyme Complexes", "Stress", " Physiological", "Plant Cells", "SALICYLIC-ACID BIOSYNTHESIS", "H<sub>2</sub>O<sub>2</sub> signaling", "Medicine and Health Sciences", "abnormal inflorescence meristem 1", "LEAF SENESCENCE", "Oxylipins", "Photosynthesis", "2. Zero hunger", "QH573-671", "Cell Death", "Arabidopsis Proteins", "Gene Expression Profiling", "Biology and Life Sciences", "Computational Biology", "Hydrogen Peroxide", "ARABIDOPSIS", "MULTIFUNCTIONAL PROTEIN", "3. Good health", "PEROXISOMAL BETA-OXIDATION", "Plant Leaves", "chemical genetics", "CELL-DEATH", "PHENYLALANINE AMMONIA-LYASE", "Seeds", "Cytology", "Salicylic Acid", "H2O2 signaling", "Signal Transduction"]}, "links": [{"href": "http://www.mdpi.com/2073-4409/9/9/2026/pdf"}, {"href": "https://doi.org/1854/LU-8674409"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cells", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8674409", "name": "item", "description": "1854/LU-8674409", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8674409"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-02T00:00:00Z"}}, {"id": "1854/LU-8743335", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:49Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/1854/LU-8743335"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8743335", "name": "item", "description": "1854/LU-8743335", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8743335"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "1893/33794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:51Z", "type": "Journal Article", "created": "2021-12-30", "title": "Global maps of soil temperature", "description": "Abstract<p>Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2\uffc2\uffa0m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1\uffe2\uff80\uff90km2resolution for 0\uffe2\uff80\uff935 and 5\uffe2\uff80\uff9315\uffc2\uffa0cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1\uffe2\uff80\uff90km2pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse\uffe2\uff80\uff90grained air temperature estimates from ERA5\uffe2\uff80\uff90Land (an atmospheric reanalysis by the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10\uffc2\uffb0C (mean\uffc2\uffa0=\uffc2\uffa03.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.1\uffc2\uffb0C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (\uffe2\uff88\uff920.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.3\uffc2\uffb0C). The observed substantial and biome\uffe2\uff80\uff90specific offsets emphasize that the projected impacts of climate and climate change on near\uffe2\uff80\uff90surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil\uffe2\uff80\uff90related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.</p", "keywords": ["0106 biological sciences", "Bioclimatic variables; Global maps; Microclimate; Near-surface temperatures; Soil temperature; Soil-dwelling organisms; Temperature offset; Weather stations; Climate change; Temperature; Ecosystem; Soil", "791", "550", ":Zoology and botany: 480 [VDP]", "VDP::Zoologiske og botaniske fag: 480", "551", "Q1", "7. Clean energy", "01 natural sciences", "41 Environmental sciences", "Global map", "SDG 13 - Climate Action", "Soil temperature", "MICROCLIMATE", "bepress|Physical Sciences and Mathematics|Environmental Sciences", "soil-dwelling organism", "bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "weather station", "GB", "http://aims.fao.org/aos/agrovoc/c_34836", "Geology", "16. Peace & justice", "Settore BIOS-01/C - Botanica ambientale e applicata", "6. Clean water", "Near-surface soil temperature", "international", "[SDE]Environmental Sciences", "551: Geologie und Hydrologie", "Near-surface temperature", "Near-surface temperatures", "soil temperature", "P40 - M\u00e9t\u00e9orologie et climatologie", "577", "bepress|Physical Sciences and Mathematics|Earth Sciences", "MITIGATION", "bepress|Life Sciences|Ecology and Evolutionary Biology", "12. Responsible consumption", "near-surface temperatures", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate", "bioclimatic variables", "Bioclimatic variables", "Settore BIO/07 - ECOLOGIA", "temperature offset", "global maps", "http://aims.fao.org/aos/agrovoc/c_1344", "577: \u00d6kologie", "global map", "Biology", "Ecosystem", "Ekologi", "http://aims.fao.org/aos/agrovoc/c_24894", "Science & Technology", "ddc:550", "9. Industry and infrastructure", "31 Biological sciences", "Biology and Life Sciences", "Microclimate", "06 Biological Sciences", "15. Life on land", "weather stations", "bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring", "900", "cartographie", "microclimate", "Klimatvetenskap", "[SDE] Environmental Sciences", "Biodiversity & Conservation", "05 Environmental Sciences", "Weather stations", "Temperature offset", "Plan_S-Compliant-OA", "Soil", "bepress|Life Sciences", "Geolog\u00eda", "Research Articles", "info:eu-repo/classification/ddc/570", "changement climatique", "Ecology", "zone climatique", "4. Education", "Temperature", "Biological Sciences", "bioclimatologie", "FOREST", "Weather station", "Chemistry", "Biodiversity Conservation", "Life Sciences & Biomedicine", "bepress|Physical Sciences and Mathematics", "Technology and Engineering", "http://aims.fao.org/aos/agrovoc/c_1669", "bioclimatic variable", "Climate Change", "soil-dwelling organisms", "Environmental Sciences & Ecology", "MOISTURE", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperature", "temp\u00e9rature du sol", "bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology", "SUITABILITY", "G1", "VDP::Mathematics and natural scienses: 400::Zoology and botany: 480", "Global maps", "http://aims.fao.org/aos/agrovoc/c_1666", ":Zoologiske og botaniske fag: 480 [VDP]", "Soil-dwelling organisms", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "r\u00e9chauffement global", "Climate Change; Ecosystem; Microclimate; Soil; Temperature; bioclimatic variables; global maps; microclimate; near-surface temperatures; soil temperature; soil-dwelling organisms; temperature offset; weather stations", "http://aims.fao.org/aos/agrovoc/c_9260", "P30 - Sciences et am\u00e9nagement du sol", "Aquatic Ecology", "Bioclimatic variable", "SNOW-COVER", "Climate Science", "37 Earth sciences", "Climate Action", "bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Earth sciences", "variation saisonni\u00e8re", "PLANT-RESPONSES", "CLIMATIC CONTROLS", "Soil-dwelling organism", "Settore BIOS-05/A - Ecologia", "13. Climate action", "Earth and Environmental Sciences", "VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480", "VDP::Zoology and botany: 480", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "CBCE", "http://aims.fao.org/aos/agrovoc/c_7197", "Environmental Sciences"]}, "links": [{"href": "https://ray.yorksj.ac.uk/id/eprint/5803/1/20211222_SoilTemp_maps_preformatted.pdf"}, {"href": "http://dspace.stir.ac.uk/bitstream/1893/33794/1/Lembrechts-etal-GCB-2022.pdf"}, {"href": "https://eprints.whiterose.ac.uk/183991/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/445619/1/prod_462419-doc_189996.pdf"}, {"href": "https://openpub.fmach.it/bitstream/10449/74200/1/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://iris.unica.it/bitstream/11584/332967/1/2022_Global_maps_soil_temperature_GlobalChangeBiology.pdf"}, {"href": "https://ricerca.univaq.it/bitstream/11697/178559/2/Global%20Change%20Biology%20-%202022%20-%20Lembrechts%20-%20Global%20maps%20of%20soil%20temperature.pdf"}, {"href": "https://vb.gamtc.lt/object/elaba:126634244/126634244.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.16060"}, {"href": "https://escholarship.org/content/qt6hg3313z/qt6hg3313z.pdf"}, {"href": "https://doi.org/1893/33794"}, {"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": "1893/33794", "name": "item", "description": "1893/33794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1893/33794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-21T00:00:00Z"}}, {"id": "2440/137248", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:19Z", "type": "Journal Article", "created": "2022-08-26", "title": "Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress", "description": "Abstract                <p>We present unresolved questions in plant abiotic stress biology as posed by 15 research groups with expertise spanning eco-physiology to cell and molecular biology. Common themes of these questions include the need to better understand how plants detect water availability, temperature, salinity, and rising carbon dioxide (CO2) levels; how environmental signals interface with endogenous signaling and development (e.g. circadian clock and flowering time); and how this integrated signaling controls downstream responses (e.g. stomatal regulation, proline metabolism, and growth versus defense balance). The plasma membrane comes up frequently as a site of key signaling and transport events (e.g. mechanosensing and lipid-derived signaling, aquaporins). Adaptation to water extremes and rising CO2 affects hydraulic architecture and transpiration, as well as root and shoot growth and morphology, in ways not fully understood. Environmental adaptation involves tradeoffs that limit ecological distribution and crop resilience in the face of changing and increasingly unpredictable environments. Exploration of plant diversity within and among species can help us know which of these tradeoffs represent fundamental limits and which ones can be circumvented by bringing new trait combinations together. Better defining what constitutes beneficial stress resistance in different contexts and making connections between genes and phenotypes, and between laboratory and field observations, are overarching challenges.</p", "keywords": ["0301 basic medicine", "570", "Physiological", "Climate Change", "ROOT-SYSTEM ARCHITECTURE", "Plant Biology & Botany", "Plant Biology", "Plant Science", "Stress", "03 medical and health sciences", "Stress", " Physiological", "Genetics", "Life Science", "580", "2. Zero hunger", "0303 health sciences", "CLIMATE-CHANGE", "Biology and Life Sciences", "Water", "Plant Transpiration", "Cell Biology", "ABSCISIC-ACID", "Carbon Dioxide", "Plants", "15. Life on land", "ddc:", "LEAF HYDRAULIC CONDUCTANCE", "SALT STRESS", "Climate Action", "ENABLES DROUGHT ESCAPE", "FLOWERING-LOCUS-T", "13. Climate action", "ARABIDOPSIS-THALIANA", "Biochemistry and Cell Biology", "WATER-USE EFFICIENCY", "PROLINE DEHYDROGENASE CONTRIBUTES", "Focus on Climate Change and Plant Abiotic Stress"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/936666/2/burning%20questions%20for%20a%20warming%20world%20-resubmission.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/936666/3/Burning%20questions%20for%20a%20warming%20world-resubmission%20Figures.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/936666/4/koac263.pdf"}, {"href": "https://escholarship.org/content/qt48k7s53n/qt48k7s53n.pdf"}, {"href": "https://doi.org/2440/137248"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Plant%20Cell", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2440/137248", "name": "item", "description": "2440/137248", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2440/137248"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-26T00:00:00Z"}}, {"id": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:26:21Z", "type": "Report", "title": "Global maps of soil temperature", "description": "Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km(2) resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km(2) pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10 degrees C (mean = 3.0 +/- 2.1 degrees C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 +/- 2.3 degrees C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 +/- 2.3 degrees C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.", "keywords": ["Technology and Engineering", "soil temperature", "Biology and Life Sciences", "soil-dwelling organisms", "SNOW-COVER", "MITIGATION", "MOISTURE", "FOREST", "weather stations", "LITTER DECOMPOSITION", "PERMAFROST", "near-surface temperatures", "PLANT-RESPONSES", "bioclimatic variables", "CLIMATIC CONTROLS", "Earth and Environmental Sciences", "temperature offset", "SUITABILITY", "global maps", "MICROCLIMATE", "CBCE", "microclimate"]}, "links": [{"href": "https://doi.org/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "self", "type": "application/geo+json", "title": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "name": "item", "description": "50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/50|od_______330::f4436e280ea4dbf5c31d9cc8ac41463b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biology+and+Life+Sciences&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biology+and+Life+Sciences&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biology+and+Life+Sciences&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Biology+and+Life+Sciences&offset=27", "hreflang": "en-US"}], "numberMatched": 27, "numberReturned": 27, "distributedFeatures": [], "timeStamp": "2026-05-25T04:04:18.440906Z"}