{"type": "FeatureCollection", "features": [{"id": "10.1186/s12862-022-02089-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:30Z", "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": "10.1556/168.2017.18.3.7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:46Z", "type": "Journal Article", "created": "2018-02-12", "title": "Phytophagous hoverflies (Diptera: Syrphidae) as indicators of changing landscapes", "description": "Spatial and temporal differences in landscape patterns are of considerable interest for understanding ecological processes. In this study, we assessed habitat quality by using the Syrph The Net database and data on decreasing species richness over a 25-year period for the two largest phytophagous hoverfly genera (Merodon and Cheilosia). Furthermore, within this time frame, we explored congruence between ecological responses (species richness and Biodiversity Maintenance Function for these two genera) and landscape structural changes through correlation analysis. Our results indicate that landscapes have experienced changes in aggregation, isolation/connectivity and landscape diversity, with these parameters being significantly correlated with Cheilosia species richness loss and habitat quality. We conclude that the genus Cheilosia is a good bioindicator that can highlight not only the current quality of an area but also temporal changes in landscape patterns.", "keywords": ["0106 biological sciences", "MODELS", "INSECTS", "DIVERSITY", "LAND COVER CHANGE", "Cheilosia", "Land cover change", "01 natural sciences", "BIOINDICATORS", "CONNECTIVITY", "RICHNESS", "FORESTS", "14. Life underwater", "Merodon", "Connectivity", "LAND-USE", "Landscape structure", "Bioindicators; Cheilosia; Connectivity; Insects; Land cover change; Landscape structure; Merodon; Species richness", "15. Life on land", "EXTINCTION RISK", "Insects", "Ecology", " evolutionary biology", "QH540 Ecology / \u00f6kol\u00f3gia", "Bioindicators", "BIODIVERSITY", "ABUNDANCE", "Species richness", "RESPONSES"]}, "links": [{"href": "https://akademiai.com/doi/pdf/10.1556/168.2017.18.3.7"}, {"href": "https://doi.org/10.1556/168.2017.18.3.7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Community%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1556/168.2017.18.3.7", "name": "item", "description": "10.1556/168.2017.18.3.7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1556/168.2017.18.3.7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1590/s0103-90162008000300009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:48Z", "type": "Journal Article", "created": "2008-07-10", "title": "Changes In Soil Organic Matter Under Different Land Management In Misiones Province (Argentina)", "description": "<p>Highly weathered tropical soils rapidly loose soil organic matter (SOM) and may be affected by water erosion and soil compaction after deforestation and intensive cultivation. With the main objective to estimate the SOM balances in a subtropical soil we determined the dynamics of SOM in a degraded yerba mate (Ilex paraguaiensis Saint Hil.) plantation introduced after deforestation and with elephant grass (Pennisetum purpureum L.) as a cover crop. The study site was in Misiones, Argentina, and we use the natural 13C abundance methodology and a descriptive model. The study was conducted on three contiguous 50 x 100 m plots of a typic Kandihumult soil with: (i) native forest, (ii) 50 years of continuous yerba mate monoculture with intensive tillage, and (iii) yerba mate associated with elephant grass as a cover crop and no tillage. We determined bulk density, carbon (C), nitrogen (N) and 13C content of the soil (0 - 0.05, 0.05 - 0.15 m layers) and the grass biomass. Yerba mate monoculture reduced soil C and N content as well as porosity at 0 - 0.15 m depth by 43 and 23%, respectively, as compared to the native forest. After ten years of yerba mate - elephant grass association soil C and N contents at the same depth increased by 19 and 12%, respectively, compared to the yerba mate monoculture, while soil porosity remained similar. Total C input,13C, and soil organic C were incorporated into a three compartment model to evaluate elephant grass C dynamics. Through the natural 13C abundance methodology we tracked the elephant grass C incorporation and the 'old' soil C loss, and determined the model parameters - humification (k1) and mineralization (k) coefficients and stable C (Cs)- unambiguously. The high k1 and k predicted by the model are probably explained by elephant grass root system incorporation under no tillage and humid subtropical climate, respectively. In soil under yerba mate monoculture, Cs was counted as 91% of the total soil organic C.</p>", "keywords": ["2. Zero hunger", "Ilex paraguaiensis;Pennisetum purpureum;natural C-13 abundance;soil carbon;modelling", "sol", "550", "carbono do solo", "[SDV]Life Sciences [q-bio]", "argentine", "culture intensive", "04 agricultural and veterinary sciences", "15. Life on land", "630", "[SDV] Life Sciences [q-bio]", "Pennisetum purpureum", "modelling", "Ilex paraguaiensis", "natural C-13 abundance", "mati\u00e8re organique", "modeliza\u00e7\u00e3o", "biomasse", "0401 agriculture", " forestry", " and fisheries", "soil carbon", "am\u00e9rique du sud", "abund\u00e2ncia natural em 13C", "natural 13C abundance"], "contacts": [{"organization": "Piccolo, Gabriel Agust\u00edn, Andriulo, Adri\u00e1n Enrique, Mary, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s0103-90162008000300009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientia%20Agricola", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0103-90162008000300009", "name": "item", "description": "10.1590/s0103-90162008000300009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0103-90162008000300009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.17169/refubium-31202", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:51Z", "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": "10.17221/234/2009-pse", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:18:51Z", "type": "Journal Article", "created": "2018-02-10", "title": "Relation Between Chemical Indices Of Soil And Earthworm Abundance Under Chemical Fertilization", "description": "The study intended to establish how the dynamics of earthworms (Oligochaeta: Lumbricidae) changes in soil (abundance, biomass), under conditions of mineral fertilization with nitrogen and phosphorous in four different doses, in a 33-year experimental placement in the west of Romania, in wheat-soybean-maize-barley rotation. The soil indices taken into study were: pH, humus, total nitrogen, phosphorous and potassium. Statistical connections between the studied factors were realized using the dispersion analysis ANOVA and the SPSS Software (Statistical Package for the Social Sciences). The study showed an increase of earthworm abundance and biomass under conditions of chemical fertilization with nitrogen and phosphorous. The highest number of earthworms was recorded in the treatment with the largest dose of nitrogen fertilizer (by 85.85% higher compared to the control treatment). The greatest positive influence on earthworm abundance and biomass was manifested in humus and total nitrogen. The greatest negative influence on earthworm abundance was found in pH factor, while phosphorous content of soil exerted the greatest negative influence on earthworm biomass.", "keywords": ["2. Zero hunger", "abundance", "biomass", "nitrogen and phosphorous fertilization", "Plant culture", "0401 agriculture", " forestry", " and fisheries", "earthworms", "04 agricultural and veterinary sciences", "SB1-1110"]}, "links": [{"href": "https://doi.org/10.17221/234/2009-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/234/2009-pse", "name": "item", "description": "10.17221/234/2009-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/234/2009-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-09-30T00:00:00Z"}}, {"id": "10.3390/genes10060424", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:39Z", "type": "Journal Article", "created": "2019-06-03", "title": "Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>To follow the hypothesis that agricultural management practices affect structure and function of the soil microbiome regarding soil health and plant-beneficial traits, high-throughput (HT) metagenome analyses were performed on Chernozem soil samples from a long-term field experiment designated LTE-1 carried out at Bernburg-Strenzfeld (Saxony-Anhalt, Germany). Metagenomic DNA was extracted from soil samples representing the following treatments: (i) plough tillage with standard nitrogen fertilization and use of fungicides and growth regulators, (ii) plough tillage with reduced nitrogen fertilization (50%), (iii) cultivator tillage with standard nitrogen fertilization and use of fungicides and growth regulators, and (iv) cultivator tillage with reduced nitrogen fertilization (50%). Bulk soil (BS), as well as root-affected soil (RS), were considered for all treatments in replicates. HT-sequencing of metagenomic DNA yielded approx. 100 Giga bases (Gb) of sequence information. Taxonomic profiling of soil communities revealed the presence of 70 phyla, whereby Proteobacteria, Actinobacteria, Bacteroidetes, Planctomycetes, Acidobacteria, Thaumarchaeota, Firmicutes, Verrucomicrobia and Chloroflexi feature abundances of more than 1%. Functional microbiome profiling uncovered, i.a., numerous potential plant-beneficial, plant-growth-promoting and biocontrol traits predicted to be involved in nutrient provision, phytohormone synthesis, antagonism against pathogens and signal molecule synthesis relevant in microbe\u2013plant interaction. Neither taxonomic nor functional microbiome profiling based on single-read analyses revealed pronounced differences regarding the farming practices applied. Soil metagenome sequences were assembled and taxonomically binned. The ten most reliable and abundant Metagenomically Assembled Genomes (MAGs) were taxonomically classified and metabolically reconstructed. Importance of the phylum Thaumarchaeota for the analyzed microbiome is corroborated by the fact that the four corresponding MAGs were predicted to oxidize ammonia (nitrification), thus contributing to the cycling of nitrogen, and in addition are most probably able to fix carbon dioxide. Moreover, Thaumarchaeota and several bacterial MAGs also possess genes with predicted functions in plant\u2013growth\u2013promotion. Abundances of certain MAGs (species resolution level) responded to the tillage practice, whereas the factors compartment (BS vs. RS) and nitrogen fertilization only marginally shaped MAG abundance profiles. Hence, soil management regimes promoting plant-beneficial microbiome members are very likely advantageous for the respective agrosystem, its health and carbon sequestration and accordingly may enhance plant productivity. Since Chernozem soils are highly fertile, corresponding microbiome data represent a valuable reference resource for agronomy in general.</p></article>", "keywords": ["0301 basic medicine", "570", "plant\u2013growth\u2013promotion (PGP)", "metagenomically-assembled-genomes (MAGs)", "Article", "03 medical and health sciences", "carbon dioxide fixation", "Ammonia", "metagenomic binning", "Germany", "soil microbiome", "Proteobacteria", "Humans", "biocontrol", "secondary metabolite synthesis", "suppressive soil", "Phylogeny", "Soil Microbiology", "soil microbiome; suppressive soil; biocontrol; plant\u2013growth\u2013promotion (PGP); metagenomic binning; metagenomically-assembled-genomes (MAGs); secondary metabolite synthesis; carbon dioxide fixation; carbohydrate-active enzymes; differentially abundant features (DAFs)", "2. Zero hunger", "Bacteria", "Bacteroidetes", "Agriculture", "differentially abundant features (DAFs)", "15. Life on land", "Archaea", "Actinobacteria", "13. Climate action", "carbohydrate-active enzymes", "Metagenome"]}, "links": [{"href": "http://www.mdpi.com/2073-4425/10/6/424/pdf"}, {"href": "https://www.mdpi.com/2073-4425/10/6/424/pdf"}, {"href": "https://doi.org/10.3390/genes10060424"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Genes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/genes10060424", "name": "item", "description": "10.3390/genes10060424", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/genes10060424"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-03T00:00:00Z"}}, {"id": "10.3847/2041-8213/ab2044", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:19:52Z", "type": "Journal Article", "created": "2019-05-23", "title": "Timing and Origin of the Angrite Parent Body Inferred from Cr Isotopes", "description": "Abstract                <p>Angrite meteorites are some of the oldest materials in the solar system. They provide important information on the earliest evolution of the solar system and accretion timescales of protoplanets. Here, we show that the 54Cr/52Cr ratio is homogeneously distributed among angrite meteorites within 13 parts per million, indicating that precursor materials must have experienced a global-scale melting such as a magma ocean. The 53Cr/52Cr and Mn/Cr ratios are correlated, which is evidence for an initial 53Mn/55Mn ratio of (3.16\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.11)\uffc2\uffa0\uffc3\uff97\uffc2\uffa010\uffe2\uff88\uff926. When anchored to the U-corrected Pb\uffe2\uff80\uff93Pb age for the D\uffe2\uff80\uff99Orbigny angrite, this initial 53Mn/55Mn corresponds to an absolute age of 4563.2\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.3 Ma, i.e., 4.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa00.3 Ma after Ca\uffe2\uff80\uff93Al-rich inclusion-formation. This age is distinct from that of the volatile depletion events dated by the 87Sr/86Sr initial ratio and therefore must correspond to the age of crystallization of the magma ocean and crust formation of the angrite parent body (APB), which can also constrain a slightly bigger size of APB than that of Vesta. Furthermore, this age is similar to those obtained from internal isochrons of the oldest volcanic angrites that cooled rapidly at the surface of the parent body (with ages of 4564 \uffe2\uff88\uffbc 4563 Ma), while older than those obtained from plutonic angrites (4561 \uffe2\uff88\uffbc 4556 Ma) that cooled down slowly, located deeper within the parent body. This implies that cooling of the APB took at least \uffe2\uff88\uffbc8 Myr after its differentiation.</p>", "keywords": ["570", "[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]", "550", "meteoroids -nuclear reactions", "astrochemistry", "abundances", "nucleosynthesis", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "01 natural sciences", "520", "meteorites", "astrochemistry -meteorites", "meteorites", " meteors", " meteoroids", "nuclear reactions", " nucleosynthesis", " abundances", "13. Climate action", "meteors", "meteoroids", "nuclear reactions", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3847/2041-8213/ab2044"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Astrophysical%20Journal%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3847/2041-8213/ab2044", "name": "item", "description": "10.3847/2041-8213/ab2044", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3847/2041-8213/ab2044"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-20T00:00:00Z"}}, {"id": "10.5061/dryad.51r23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:00Z", "type": "Dataset", "title": "Data from: Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million year dune chronosequence", "description": "unspecifiedJurien Bay leaf nutrient dataDescription Leaf nutrient concentration and  C/N stable isotope data for 18 plant species across five dune  chronosequence stages along the Jurien Bay chronosequence. Format A data  frame with 508 observations on the following 22 variables: plot factor  with names of 50 10x10-m plots stage factor indicating chronosequence  stage (1 = youngest, 5 = oldest) species factor with full plant species  names state factor with leaf state: mature or senesced date sampling date  ICP factor stating whether nutrients other than C and N were analysed with  a radial or axial ICP equipment for each sample C leaf carbon  concentration (%) Ca leaf calcium concentration (microg g^-1) Cd leaf  boron concentration (microg g^-1) Cu leaf copper concentration (microg  g^-1) Fe leaf iron concentration (microg g^-1) K leaf potassium  concentration (microg g^-1) Mg leaf magnesium concentration (microg g^-1)  Mn leaf manganese concentration (microg g^-1) Mo leaf molybdenum  concentration (microg g^-1) Na leaf sodium concentration (microg g^-1) P  leaf phosphorus concentration (microg g^-1) S leaf sulfur concentration  (microg g^-1) Zn leaf zinc concentration (microg g^-1) N leaf nitrogen  concentration (microg g^-1) d15N delta-N-15 (permil Air) d13C delta-C-13  (permil VPDB) Details For leaf sampling, we used 50 plots (10 m x 10 m  each) from five chronosequence stages where vegetation had been  characterised previously. Using the vegetation survey data, we ranked  species in each of the five chronosequence stages from the most to the  least abundant, based on canopy cover estimates. We then selected 5\u20137  species from each stage, targeting the most abundant species for each of  four contrasting nutrient-acquisition strategies: arbuscular mycorrhizal  (AM), ectomycorrhizal (EM), N-fixing (NF) and non-mycorrhizal (NM) (see  juriensp for strategies). Ericoid mycorrhizal species were not considered  because they were not among the most abundant species. We note that  N-fixing species are generally AM and/or EM, but we considered them as a  separate group because they often show high foliar [N]. Species were  selected from the ten most-abundant species per stage, with the exception  of stage 4 where the 18 most-abundant species were considered. The  selected species accounted for between 38% (stage 5) and 65% (stage 1) of  the total canopy cover of each stage. A total of 18 species were selected  for leaf sampling. All leaf material was collected over a two-month period  between late March and early May 2012, near the end of the dry summer  season. In each of the 50 plots, only healthy mature individuals were  selected for sampling. In general, mature and senesced leaves were sampled  from one individual plant per species in each plot. A species was  considered absent from a plot if it could not be found within ~30 m of its  centre. The number of individual collections (one collection = both mature  and senesced leaves) per species in each chronosequence stage ranged from  five to ten. In each case, representative samples of mature and senesced  leaves were collected using nitrile gloves in order to minimise sample  contamination. Leaves were not washed prior to nutrient analyses but we  consider dust contamination to be highly unlikely, given the sandy nature  of the soils. Mature leaves were undamaged, fully expanded and exposed to  full sunlight. In most cases, senesced leaves were collected directly from  the plant by gently shaking the plant and collecting fallen leaves.  Senesced leaves were easily distinguished from green leaves, since they  were yellow or brown and detached easily from the plant. However, for a  few species it was not possible to collect senesced leaves from live  plants, in which case senesced leaves were collected directly beneath the  plant from recently fallen litter. In all cases, there was no visible  degradation of senesced leaves collected from this litter, which had  predominantly fallen during the summer and had not been exposed to any  significant rain between litter fall and collection. Therefore, we assumed  that losses of nutrients through leaching or decomposition were minimal,  although some photodegradation may have occurred. A total of 508 leaf  samples (mature and senesced) were collected for nutrient analyses. Each  leaf sample was oven-dried (70 degrees C, 48 h) and finely ground using a  Teflon-coated stainless steel ball mill. A subsample was analysed for  carbon (C) and nitrogen (N) concentrations using a continuous-flow system  consisting of a SERCON 20-22 mass spectrometer connected with an automated  nitrogen/carbon analyser (Sercon, Crewe, UK). Stable isotopes of C and N  were analysed using a continuous flow system consisting of a SERCON 20-22  mass spectrometer connected with an automated N/C analyser (Sercon, Crewe,  UK). These analyses were done at the Western Australian Biogeochemistry  Centre, located at the University of Western Australia. A second subsample  was acid-digested using concentrated HNO3:HClO4 (3:1) and analysed for Ca,  Cd, Cu, Fe, K, Mg, Mn, Mo, Na, P, S and Zn concentrations using  inductively coupled plasma-atomic emission spectrometry (ICP-AES;  ChemCentre, Perth, Australia). All digests were first analysed using a  simultaneous Varian Vista Pro (Australia), radially configured ICP-AES  equipment fitted with a charge-coupled device (CCD) detection system and  an A.I. Scientific AIM-3600 auto-sampler. Samples with P concentrations  close to minimum reporting limit were re-run on more sensitive  axially-configured ICP-AES equipment. The ICP analyses were done at the WA  Chemcentre.jurienleafnut.csv", "keywords": ["Banksia leptophylla", "soil fertility gradient", "nutrient-resorption efficiency", "Acacia rostellifera", "Acanthocarpus preissii", "Spyridium globulosum", "Conostylis candicans", "Banksia attenuata", "Jacksonia floribunda", "Scaevola crassifolia", "nutrient-use efficiency", "Holocene", "manganese accumulation", "nutrient-resorption proficiency", "Mesomelaena pseudostygia", "Phosphorus", "Melaleuca systena", "15. Life on land", "Olearia axillaris", "Banksia menziesii", "Lepidosperma squamatum", "Hardenbergia comptoniana", "Melaleuca leuropoma", "Zinc", "Banksia sessilis", "Hibbertia hypericoides", "Acacia spathulifolia"], "contacts": [{"organization": "Hayes, Patrick, Turner, Benjamin L., Lambers, Hans, Lalibert\u00e9, Etienne,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.51r23"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.51r23", "name": "item", "description": "10.5061/dryad.51r23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.51r23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-11-18T00:00:00Z"}}, {"id": "10.5061/dryad.b4s71jj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:02Z", "type": "Dataset", "title": "Data from: Litter carbon and nutrient chemistry control the magnitude of soil priming effect", "description": "unspecifiedLitter  Chem_characteristicsThis Excel document  includes the raw data for analysed in the manuscript including leaf litter  C leachates, lignin, cellulose, hemicellulose, tannin, C, N, P, Ca, K, Mg,  Mn concentrations and Lignin:N, and litter decomposition rates and soil  priming effect.Litter Chem\uff0cDeco &amp;  PE.xls", "keywords": ["13C natural abundance", "soil organic carbon", "carbon mineralization", "soil priming effect", "litter chemistry", "15. Life on land", "C4 soil"], "contacts": [{"organization": "Chao, Lin, Liu, Yanyan, Freschet, Gr\u00e9goire, Zhang, Weidong, Yu, Xin, Zheng, Wenhui, Guan, Xin, Yang, Qingpeng, Chen, Longchi, Dijkstra, Feike, wang, Silong, Dijkstra, Feike A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.b4s71jj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.b4s71jj", "name": "item", "description": "10.5061/dryad.b4s71jj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.b4s71jj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-09T00:00:00Z"}}, {"id": "10.5061/dryad.g1jwstqx5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:04Z", "type": "Dataset", "created": "2023-09-27", "title": "Microbial traits dictate soil neromass accumulation coefficient: A global synthesis", "description": "unspecified# Readme **Title** Microbial necromass carbon accumulation coefficients  (NAC) dataset **Author** Bingbing Han, Yanzhong Yao, Yini Wang, Xiaoxuan  Su, Lihua Ma, Xinping Chen, Zhaolei Li  * **Corresponding author:**  Zhaolei Li, Professor E-mail: lizhaolei@swu.edu.cn **Correspondence  address:** College of Resources and Environment, and Academy of  Agricultural Sciences, Southwest University, Chongqing 400715, China  **Data abstract** The accumulation of microbial necromass carbon has drawn  mounting attention due to the slow decomposition. However, it remains  unclear what determines the microbial necromass carbon accumulation via  reiterated community turnover on large spatial scales. This study aimed to  explore the characteristics of soil necromass carbon accumulation in  terrestrial ecosystems. A dataset was compiled with 993 observations on  the coefficient of microbial carbon accumulation in the equilibrium from  82 peer-reviewed papers. The linear mixed-effect models and structural  equation models were used to ascertain the controlling factors of NAC on a  global scale. The average NAC was higher in croplands (28.2) and forests  (26.8) than that in grasslands (21.1). Although the edaphic factors  seemingly affect the NAC whereby the NAC lowered in soils with high levels  of pH and clay content on a global scale, the biotic factors, particularly  for the living microorganism abundance and microbial biomass nitrogen  content, were the pivotal drivers of NAC that accounted for approximately  42.5% of the geographic variances in NAC. More organic carbon was likely  to be preserved in soil with a higher NAC regardless of ecosystem types.  Novel findings on the overriding controls from the living microorganism  abundance and microbial biomass nitrogen in driving NAC raise an urgent  need for viable strategies in manipulating microbial characteristics for  carbon sequestrations. **Data collect** The NACs dataset was compiled from  peer-reviewed papers. These peer-reviewed papers were obtained by means of  two platforms: the Web of Science  ([http://apps.webofkonwledge.com](http://apps.webofkonwledge.com)) and the  China National Knowledge Infrastructure Database  ([http://www.cnki.net](http://www.cnki.net)). At the same time, the papers  were supplemented by Google Scholar. The keywords used to search papers  are soil microbial biomass AND microbial necromass AND microbial residue *  AND amino sugar * AND PLFAs. The publishing date for the peer-reviewed  paper was up to January 20, 2023. The eligible peer-reviewed papers  matched the following criteria: (1) Soil microbial necromass was measured  using amino sugars as markers; (2) The living microorganisms were  determined by phospholipid fatty acid (PLFAs). Finally, the NAC dataset  was constructed based on the 82 peer-reviewed papers. The details of the  experimental site were also extracted from papers, including the  geographic information of the experiment site (i.e., latitude and  longitude), climate conditions (i.e., mean annual temperature and mean  annual precipitation), and ecosystem types (i.e., grasslands, forests, and  croplands). Additionally, soil physicochemical properties [soil pH, the  ratio of carbon to nitrogen (soil C: N), total nitrogen (TN), bulk density  (BD), clay content, and ammonium content (NH4+)] and the number of  replicates were also extracted from the articles. Additionally, in the NAC  dataset, the empty cells are representing the data scarcity (i.e., NA  values). You should know that not every article will contain all the  metrics. **Data analysis** The content of fungal and bacterial necromass  carbon was calculated based on the concentrations of amino sugar in  microbial cell walls: glucosamine and muramic acid. The bacterial  necromass carbon and fungal necromass carbon were calculated using  equations (1) and (2). where, MurA is muramic acid and GlcN is  glucosamine. In equation (1), 45 is the conversion factor from MurA to  bacterial necromass carbon; in equation (2), 9 is the conversion factor  from GlcN to fungal necromass carbon; while 179.17 and 251.23 are the  molecule weights of GlcN and MurA, respectively. Total microbial necromass  carbon was the sum of fungal necromass carbon and bacterial necromass  carbon. For the absence of microbial biomass carbon (MBC) in some  experimental sites. The NAC functions as the ratio of the microbial  necromass carbon to microbial biomass carbon: where MBC is soil microbial  biomass carbon. The linear mixed-effect models were used to test the  bivariate relationship between the NAC and environmental factor by means  of *lme4* packages in R (version 4.2.2., R Core Team). The equation (4)  was: where NAC refers to the microbial necromass carbon accumulation  coefficient, lnX is the logarithm of each edaphic and climatic factor  (except for soil pH and fungi: bacteria ratio), refers to the intercept of  this model, refers to the slope value, refers to the random effect of  study, refers to the sampling error. **Document Type** We will upload it  in data _NAC _2023.csv format to the Dryad database. The main variables  collected in the data form were muramic acid (MurA) and glucosamine  (GlcN). We perform the calculation of NAC based on equations 1, 2, and 3  above. Total biomass represents the abundance of living microorganisms.  Fungal biomass represents the abundance of fungi. Bacterial biomass  represents the abundance of bacteria. MBC is microbial biomass nitrogen.  SOC is soil organic carbon. **Data processing software** We processed the  entire set of data by utilizing the R language, version 4.2.2., R Core  Team. **Contact Information** **Corresponding author:** Zhaolei Li,  Professor **E-mail:** [lizhaolei@swu.edu.cn](mailto:lizhaolei@swu.edu.cn)  **ORCID:**  [https://orcid.org/0000-0001-8767-1277](https://orcid.org/0000-0001-8767-1277)", "keywords": ["2. Zero hunger", "microbial abundance", "soil carbon sequestration", "microbial necromass carbon", "living microbes", "FOS: Earth and related environmental sciences", "15. Life on land", "microbial carbon pump", "ecosystem type"], "contacts": [{"organization": "Han, Bingbing, Yao, Yan Zhong, Wang, Yini, Su, Xiaoxuan, Ma, Lihua, Chen, Xinping, Li, Zhaolei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.g1jwstqx5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.g1jwstqx5", "name": "item", "description": "10.5061/dryad.g1jwstqx5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.g1jwstqx5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.5061/dryad.sbcc2frbh", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:06Z", "type": "Dataset", "title": "Root functional traits determine the magnitude of the rhizosphere priming effect among eight tree species", "description": "Rhizosphere priming effect\u00a0can accelerate or decelerate the  decomposition of soil organic matter.\u00a0Using a natural abundance  13C tracer method allowing partitioning of native soil organic carbon  (SOC) decomposition and plant rhizosphere respiration, we studied the  effects of eight tree species on the strength of the rhizosphere priming.  All tree species enhanced the rate of SOC decomposition, by 82% on  average.\u00a0Mean diameter of first-order roots and root  exudate-derived respiration were positively correlated with the RPE,  together explaining a large part of the observed variation in the RPE (R2  = 0.72), whereas root branching density was negatively associated with the  RPE. Path analyses further suggested that mean diameter of first-order  roots was the main driver of the RPE owing to its positive direct effect  on the RPE and its indirect effects via root exudate-derived respiration  and root branching density. These results demonstrate that the magnitude  of the RPE is regulated by complementary aspects of root morphology,  architecture and physiology, implying that comprehensive approaches are  needed to reveal the multiple mechanisms driving plant effects on the RPE.", "keywords": ["13C natural abundance", "Plant functional traits", "rhizosphere priming effect", "Fine roots", "15. Life on land", "FOS: Natural sciences"], "contacts": [{"organization": "Chao, Lin, Liu, Yanyan, Zhang, Weidong, Wang, Qingkui, Guan, Xin, Yang, Qingpeng, Chen, Longchi, Zhang, Jianbing, Hu, Baoqing, Liu, Zhanfeng, Wang, Silong, Freschet, Gr\u00e9goire T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.sbcc2frbh"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.sbcc2frbh", "name": "item", "description": "10.5061/dryad.sbcc2frbh", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.sbcc2frbh"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "2946732851", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:23:11Z", "type": "Journal Article", "created": "2019-05-14", "title": "Global drivers of methane oxidation and denitrifying gene distribution in drylands", "description": "AbstractAim<p>Microorganisms carrying pmoA and nosZ genes are major drivers of methane and nitrous oxide fluxes from soils. However, most studies on these organisms have been conducted in mesic ecosystems; therefore, little is known about the factors driving their distribution in drylands, the largest biome on Earth. We conducted a global survey to evaluate the role of climate\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related variables as predictors of the richness, abundance and community structure of bacteria carrying pmoA and nosZ genes.</p>Location<p>Eighty dryland ecosystems distributed worldwide.</p>Time period<p>From February 2006 to December 2011.</p>Major taxa studied<p>Methanotrophic (carrying the pmoA gene) and denitrifiying (carrying the nosZ gene) bacteria.</p>Methods<p>We used data from a field survey and structural equation modelling to evaluate the direct and indirect effects of climatic (aridity, rainfall seasonality and mean annual temperature) and soil (organic carbon, pH and texture) variables on the total abundance, richness and community structure of microorganisms carrying pmoA and nosZ genes.</p>Results<p>Taxa related to Methylococcus capsulatus or Methylocapsa sp., often associated with mesic environments, were common in global drylands. The abundance and richness of methanotrophs were not associated with climate or soil properties. However, mean annual temperature, rainfall seasonality, organic C, pH and sand content were highly correlated with their community structure. Aridity and soil variables, such as sand content and pH, were correlated with the abundance, community structure and richness of the nosZ bacterial community.</p>Main conclusions<p>Our study provides new insights into the drivers of the abundance, richness and community structure of soil microorganisms carrying pmoA and nosZ genes in drylands worldwide. We highlight how ongoing climate change will alter the structure of soil microorganisms, which might affect the net CH4 exchange and will probably reduce the capacity of dryland soils to carry out the final step of denitrification, favouring net N2O emissions.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "arid regions", "550", "oxidation", "methane", "15. Life on land", "03 medical and health sciences", "methanotrophs", "abundance", " richness", " community structure", " drylands", " methanotrophs", " denitrifiers", "13. Climate action", "abundance", " community structure", " denitrifiers", " drylands", " methanotrophs", " richness", "denitrifying bacteria"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.12928"}, {"href": "https://doi.org/2946732851"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Ecology%20and%20Biogeography", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2946732851", "name": "item", "description": "2946732851", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2946732851"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.5194/bg-8-353-2011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:12Z", "type": "Journal Article", "created": "2011-02-14", "title": "Free Atmospheric Co2 Enrichment Increased Above Ground Biomass But Did Not Affect Symbiotic N-2-Fixation And Soil Carbon Dynamics In A Mixed Deciduous Stand In Wales", "description": "<p>Abstract. Through increases in net primary production (NPP), elevated CO2 is hypothesized to increase the amount of plant litter entering the soil. The fate of this extra carbon on the forest floor or in mineral soil is currently not clear. Moreover, increased rates of NPP can be maintained only if forests can escape nitrogen limitation. In a Free atmospheric CO2 Enrichment (FACE) experiment near Bangor, Wales, 4 ambient and 4 elevated [CO2] plots were planted with patches of Betula pendula, Alnus glutinosa and Fagus sylvatica on a former arable field. After 4 years, biomass averaged for the 3 species was 5497 (se 270) g m\uffe2\uff88\uff922 in ambient and 6450 (se 130) g m\uffe2\uff88\uff922 in elevated [CO2] plots, a significant increase of 17% (P = 0.018). During that time, only a shallow L forest floor litter layer had formed due to intensive bioturbation. Total soil C and N contents increased irrespective of treatment and species as a result of afforestation. We could not detect an additional C sink in the soil, nor were soil C stabilization processes affected by elevated [CO2]. We observed a decrease of leaf N content in Betula and Alnus under elevated [CO2], while the soil C/N ratio decreased regardless of CO2 treatment. The ratio of N taken up from the soil and by N2-fixation in Alnus was not affected by elevated [CO2]. We infer that increased nitrogen use efficiency is the mechanism by which increased NPP is sustained under elevated [CO2] at this site.                     </p>", "keywords": ["rotation poplar plantation", "0106 biological sciences", "0301 basic medicine", "elevated co2", "QE1-996.5", "Ecology", "dinitrogen fixation", "mineral soil", "natural n-15 abundance", "face", "Geology", "alnus-glutinosa", "15. Life on land", "pine forest", "01 natural sciences", "03 medical and health sciences", "Life", "13. Climate action", "QH501-531", "nitrogen-use efficiency", "organic-matter", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-8-353-2011"}, {"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-8-353-2011", "name": "item", "description": "10.5194/bg-8-353-2011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-8-353-2011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-02-14T00:00:00Z"}}, {"id": "10.5194/bgd-8-11107-2011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:13Z", "created": "2011-11-18", "description": "<p>Abstract. Clarifying which factors cause an increase or decrease in soil organic carbon (SOC) after agricultural abandonment requires integration of data on the temporal dynamics of the plant community and SOC. A chronosequence of abandoned vineyards was studied on a volcanic island (Pantelleria, Italy). Vegetation in the abandoned fields was initially dominated by annual and perennial herbs, then by Hyparrhenia hirta (L.) Stapf, and finally by woody communities. As a consequence, the dominant photosynthetic pathway changed from C3 to C4 and then back to C3.  Conversion of a plant community dominated by one photosynthetic pathway to another changes the 13C/12C ratio of inputs to soil organic carbon (SOC). Using the time since abandonment and the shift in belowground \uffce\uffb413C of SOC relative to the aboveground \uffce\uffb413C plant community, we estimated SOC turnover rate.  SOC content (g kg\uffe2\uff88\uff921) increased linearly (R2 = 0.79 and 0.73 for 0\uffe2\uff80\uff9315 and 15\uffe2\uff80\uff9330 cm soil depth) with the age of abandonment, increasing from 12 g kg\uffe2\uff88\uff921 in cultivated vineyards to as high as 26 g kg\uffe2\uff88\uff921 in the last stage of the succession.  \uffce\uffb413C increased in the bulk soil and its three fractions during succession, but only for soil fractions the effects of soil depth and its interaction with succession age were significant. Polynomial curves described the change in \uffce\uffb413C over the chronosequence for both depths. \uffce\uffb413C in the bulk soil had increased from \uffe2\uff88\uff9228 to \uffe2\uff88\uff9224\uffe2\uff80\uffb0 by 30 yr after abandonment for both depths but then decreased to \uffe2\uff88\uff9226\uffe2\uff80\uffb0 at 60 yr after abandonment (corresponding with maturity of the woody plant community). Overall, the results indicate that abandoned vineyards on volcanic soil in a semi-arid environment are C sinks and that C storage in these soils is closely related to plant succession.                         </p>", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil organic carbon", " carbon natural abundance"], "contacts": [{"organization": "NOVARA, Agata, GRISTINA, Luciano, LA MANTIA, Tommaso, RUHL, Juliane,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5194/bgd-8-11107-2011"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bgd-8-11107-2011", "name": "item", "description": "10.5194/bgd-8-11107-2011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bgd-8-11107-2011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-18T00:00:00Z"}}, {"id": "10.5281/zenodo.10402478", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:23Z", "type": "Report", "title": "Currently available assessments of soil threats and ecosystem services: data, metadata, and methodologies", "description": "Deliverable of the EJPSoil project SERENA (Soil Ecosystem Services and soil threats modelling and mapping): Short descriptions of available assessments of selected soil threats and soil-based ecosystem services provided by the participating member states.  The internal EJPSoil project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["Carbon sequestration", "Task 3.1", "Soil sealing", "Primary/biomass production", "Hydrological control", "15. Life on land", "Assessment", "SERENA", "Nutrient imbalance", "6. Clean water", "Soil organic carbon loss", "13. Climate action", "EJPSoil", "WP3", "Erosion control", "Soil erosion", "Soil-based ecosystem service", "Bundles", "D3.1.1", "Soil compaction", "Greenhouse gas and climate regulation", "Soil threat"], "contacts": [{"organization": "Michel, Kerstin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10402478"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10402478", "name": "item", "description": "10.5281/zenodo.10402478", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10402478"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-21T00:00:00Z"}}, {"id": "10.5281/zenodo.13951146", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:42Z", "type": "Dataset", "title": "Map of SESs/STs Bundles for Estonian agricultural land", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  This map is the outcome of applying a bundles cookbook developed in SERENA based on soil threats (ST) SOC loss and erosion potential and soil ecosystem service (SES) biomass production. The resulting bundles are clusters of SESs/STs where the intra-cluster variability is lower than the inter-cluster variability in the mean values of the selected SESs/STs to identify the bundles. The generated map of SESs/STs Bundles for Estonian agricultural land is at the resolution of 100m. The input data for the cookbook was the Map of soil organic carbon loss of mineral soils in Estonia ; Soil water erosion potential in agricultural soils modelled by USLE, and primary biomass production.", "keywords": ["Task3.2", "Estonia", "agricultural land", "EJPSOIL", "WP3", "Bundles", "D3.3", "SERENA", "Grant n 862695", "cookbook"], "contacts": [{"organization": "Putku, Elsa", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951146"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951146", "name": "item", "description": "10.5281/zenodo.13951146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13951147", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:42Z", "type": "Dataset", "title": "Map of SESs/STs Bundles for Estonian agricultural land", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  This map is the outcome of applying a bundles cookbook developed in SERENA based on soil threats (ST) SOC loss and erosion potential and soil ecosystem service (SES) biomass production. The resulting bundles are clusters of SESs/STs where the intra-cluster variability is lower than the inter-cluster variability in the mean values of the selected SESs/STs to identify the bundles. The generated map of SESs/STs Bundles for Estonian agricultural land is at the resolution of 100m. The input data for the cookbook was the Map of soil organic carbon loss of mineral soils in Estonia ; Soil water erosion potential in agricultural soils modelled by USLE, and primary biomass production.", "keywords": ["Task3.2", "Estonia", "agricultural land", "EJPSOIL", "WP3", "Bundles", "D3.3", "SERENA", "Grant n 862695", "cookbook"], "contacts": [{"organization": "Putku, Elsa", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13951147"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13951147", "name": "item", "description": "10.5281/zenodo.13951147", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13951147"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13983320", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:43Z", "type": "Report", "title": "SERENA Project: what is it telling us about soil ecosystem services in Europe?", "description": "Open AccessDisclaimer:The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  - It is the result of a modelling exercise and does not necessarily reflect reality.  - Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy and prior knowledge of the technical choices made.  - It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  - These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "soil health", "H2020", "soil function", "soil-based ecosystem services", "soil quality", "soil threats", "Grant  n 862695", "SERENA", "bundle", "Grant n 862695"], "contacts": [{"organization": "Assennato, Francesca, Smiraglia, Daniela, Riitano, Nicola, Luise, Anna, Calzolari, Costanza,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13983320"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13983320", "name": "item", "description": "10.5281/zenodo.13983320", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13983320"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13991087", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:43Z", "type": "Report", "title": "Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  \u2022It is the result of a modelling exercise and does not necessarily reflect reality.  \u2022Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .   \u2022It is necessary to consider how the results have been obtained in order to decide on their relevance\u00a0in relation to the intended\u00a0purpose\u00a0of reuse.  \u2022These results are interesting from a scientific point of view, but their use\u00a0for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.   ==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the\u00a0results obtained from the use of this data.", "keywords": ["bundles", "soil sealing", "soil erosion", "Life Science", "GHG control", "soil-based ecosystem services", "soil threats", "SOC loss"], "contacts": [{"organization": "Hessel, Rudi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13991087"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13991087", "name": "item", "description": "10.5281/zenodo.13991087", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13991087"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14001698", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:44Z", "type": "Dataset", "title": "SERENA EJP Soil: Bundles Application Emilia-Romagna, Italy", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["EJP Soil", "bundles", "soil-based ecosystem services' bundles", "Emilia-Romagna", "SERENA"], "contacts": [{"organization": "Medina-Roldan, Eduardo, Lorenzetti, Romina, Ungaro, Fabrizio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14001698"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14001698", "name": "item", "description": "10.5281/zenodo.14001698", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14001698"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.14002270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:44Z", "type": "Report", "title": "SERENA EJP Soil: Appendix to the SERENA Bundles' cookbook", "description": "Open AccessThe data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:  It is the result of a modelling exercise and does not necessarily reflect reality.  Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .  It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.  These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.  Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.", "keywords": ["EJP Soil", "Cookbook", "soil-based ecosystem services' bundles", "SERENA", "soil-based ecosystem services and soil threats' bundles"], "contacts": [{"organization": "Medina-Roldan, Eduardo, Reyes Rojas, Jessica, SERENA EJP-Soil Bundles Working Group,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14002270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14002270", "name": "item", "description": "10.5281/zenodo.14002270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14002270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.14002271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:20:44Z", "type": "Report", "title": "SERENA EJP Soil: Appendix to the SERENA Bundles' cookbook", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.", "keywords": ["EJP Soil", "Cookbook", "soil-based ecosystem services' bundles", "SERENA", "soil-based ecosystem services and soil threats' bundles"], "contacts": [{"organization": "Medina-Roldan, Eduardo, Reyes Rojas, Jessica, SERENA EJP-Soil Bundles Working Group,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14002271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14002271", "name": "item", "description": "10.5281/zenodo.14002271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14002271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-28T00:00:00Z"}}, {"id": "10.5281/zenodo.15395350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:05Z", "type": "Dataset", "title": "NSW 25-ha Drone Survey Grid", "description": "NSW 25-ha Drone Survey Grid   This repository provides a 25-hectare (500m x 500m) resolution spatial grid for New South Wales.  This grid layer was used to align systematic drone surveys and spatially structure binomial N-mixture models for estimating the abundance of koalas at the landscape-scale. It supports presence/absence and abundance frameworks and is suitable for use in large-scale ecological monitoring programs.  The grid was used in the following study:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R., 2025.\u00a0Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   \ud83d\udcd8 Abstract  Estimating the abundance of wildlife populations at a landscape-scale is vital for conservation, but is often hampered by survey costs, data processing and imperfect detection. In this study, we developed a framework that combines a protocol for validating nocturnal thermal drone detections in real-time with N-mixture modelling to estimate the landscape-scale abundance of arboreal folivores. As a case study, we estimated the abundance of koalas (Phascolarctos cinereus) across seven reserves (673 km\u00b2) in New South Wales, Australia. We conducted thermal drone surveys of 208, 25-ha sites stratified across vegetation type and fire history, on average, three times over consecutive nights (range 1\u201312 repeats), between 18:00\u201304:00 h (May to September). All koala detections were validated by field personnel or in real-time with drones equipped with a thermal camera and searchlight. Koalas were detected on 245 occasions. We fitted N-mixture models to validated repeat count data to quantify the effect of site and observation variables on abundance and detectability. Using our top set of competing models, we estimated that 4357 koalas (95 % CI = 2319\u20138307) occupy the seven reserves, with a mean detection probability of 0.22 (95 % CI = 0.15\u20130.31) over all survey occasions. We found detection probability decreased with increases in relative humidity and temperature. Koala abundance was negatively associated with fire severity, elevation, tree height and soil clay content, and positively associated with available water content, forest cover and soil organic carbon. Our framework, which combines real-time field validated drone data while accounting for imperfect detection, improves the accuracy of abundance estimates for arboreal folivores across large-scales.    \ud83d\udcc2 Contents     Grid_Albers_00500m_NSW_Polys.shp and associated filesA shapefile representing 25-ha (500 m \u00d7 500 m) grid cells across New South Wales.     \ud83d\uddfa\ufe0f Spatial Details     CRS: GDA94 / Australian Albers (EPSG:3577)  Geometry Type: Polygon  Cell Size: 500 m \u00d7 500 m (25 hectares)  Total Features: 3,222,693  Attribute Fields: Id (unique cell identifier)  Bounding Box (minx, miny, maxx, maxy):(826250.0, \u20134212250.0, 2082750.0, \u20133181250.0)     \u2705 Intended Applications     Thermal drone survey planning  Spatial alignment of repeatable wildlife monitoring  Koala and arboreal mammal detection  Binomial or Poisson N-mixture model design  Landscape-scale ecological stratification     \u26a0\ufe0f Data Use and Licensing   This grid layer was provided by Allen Mcilwee (NSW Government) and is published with permission as open-access supplementary material to support the following paper:    Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R. (2025)Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207   The dataset is made available to support open ecological research and systematic drone survey planning in New South Wales.\u00a0  Users applying this grid for survey or monitoring purposes in NSW are encouraged to submit resulting species detection records to NSW BioNet to contribute to state-wide biodiversity data and conservation efforts.", "keywords": ["spatial grid", "wildlife monitoring", "25-ha grid", "New South Wales", "koala", "spatial layer", "thermal drone survey", "abundance modelling"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15395350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15395350", "name": "item", "description": "10.5281/zenodo.15395350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15395350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-04T00:00:00Z"}}, {"id": "10.5281/zenodo.3572794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:21Z", "type": "Journal Article", "created": "2019-05-14", "title": "Global drivers of methane oxidation and denitrifying gene distribution in drylands", "description": "AbstractAim<p>Microorganisms carrying pmoA and nosZ genes are major drivers of methane and nitrous oxide fluxes from soils. However, most studies on these organisms have been conducted in mesic ecosystems; therefore, little is known about the factors driving their distribution in drylands, the largest biome on Earth. We conducted a global survey to evaluate the role of climate\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related variables as predictors of the richness, abundance and community structure of bacteria carrying pmoA and nosZ genes.</p>Location<p>Eighty dryland ecosystems distributed worldwide.</p>Time period<p>From February 2006 to December 2011.</p>Major taxa studied<p>Methanotrophic (carrying the pmoA gene) and denitrifiying (carrying the nosZ gene) bacteria.</p>Methods<p>We used data from a field survey and structural equation modelling to evaluate the direct and indirect effects of climatic (aridity, rainfall seasonality and mean annual temperature) and soil (organic carbon, pH and texture) variables on the total abundance, richness and community structure of microorganisms carrying pmoA and nosZ genes.</p>Results<p>Taxa related to Methylococcus capsulatus or Methylocapsa sp., often associated with mesic environments, were common in global drylands. The abundance and richness of methanotrophs were not associated with climate or soil properties. However, mean annual temperature, rainfall seasonality, organic C, pH and sand content were highly correlated with their community structure. Aridity and soil variables, such as sand content and pH, were correlated with the abundance, community structure and richness of the nosZ bacterial community.</p>Main conclusions<p>Our study provides new insights into the drivers of the abundance, richness and community structure of soil microorganisms carrying pmoA and nosZ genes in drylands worldwide. We highlight how ongoing climate change will alter the structure of soil microorganisms, which might affect the net CH4 exchange and will probably reduce the capacity of dryland soils to carry out the final step of denitrification, favouring net N2O emissions.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "methanotrophs", "arid regions", "550", "oxidation", "13. Climate action", "methane", "abundance", " community structure", " denitrifiers", " drylands", " methanotrophs", " richness", "15. Life on land", "denitrifying bacteria"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.12928"}, {"href": "https://doi.org/10.5281/zenodo.3572794"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Ecology%20and%20Biogeography", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3572794", "name": "item", "description": "10.5281/zenodo.3572794", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3572794"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.7657746", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:21:34Z", "type": "Journal Article", "created": "2023-02-16", "title": "Does population density influence fluctuating asymmetry of Sitophilus oryzae laboratory populations?", "description": "RestrictedThe rice weevil, Sitophilus oryzae, is one of the most pernicious pests of stored grain. It is a primary pest and causes a reduction in weight, quality, seed viability and commercial value of various cereals. For this study, we reared S. oryzae on wheat grains under two different adult densities, low and high, with an aim to assess the influence of population density on fluctuating asymmetry of the adult\u2019s ventral body. Fluctuating asymmetry represents slight and random deviations from bilateral symmetry normally distributed around a 0 mean, and its level is usually higher under a disturbed developmental process. Accordingly, we expected that environmental stress caused by higher density would increase its level. Opposite to our hypothesis, the study showed that population density did not influence fluctuating asymmetry of S. oryzae adults. Both experimental populations exhibited a similar, non-significant level of fluctuating asymmetry.", "keywords": ["2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "abundance", "rice weevil", "03 medical and health sciences", "wheat", "fluctuating asymmetry", "Fluctuating asymmetry", "Abundance", " Rice weevil", " Wheat", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7657746"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Stored%20Products%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7657746", "name": "item", "description": "10.5281/zenodo.7657746", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7657746"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-01T00:00:00Z"}}, {"id": "6178e5a0-45d1-410b-9bd9-e5104d865899", "type": "Feature", "geometry": null, "properties": {"updated": "2025-08-21T00:00:00Z", "type": "Dataset", "language": "de", "title": "Datenbank der Boden\u00fcbersichtskarte der Bundesrepublik Deutschland 1:250.000", "description": "Die neue Datenbank der Boden\u00fcbersichtskarte 1:250.000 (B\u00dcK250) in der Version 1.0 hat ihren Ursprung in der vorl\u00e4ufigen Sachdatenbank der B\u00dcK200 (Version 0.8), die in Kooperation mit den Staatlichen Geologischen Diensten der L\u00e4nder erarbeitet wurde. Sie enth\u00e4lt die bodenkundlichen Informationen der 2171 Legendeneinheiten der B\u00dcK250, die \u00fcber das Datenfeld GEN_ID mit den Fl\u00e4chen des Grafikdatensatzes der B\u00dcK250 verbunden werden k\u00f6nnen. S\u00e4mtliche Profil- und Horizontdaten der Leit- und Begleitb\u00f6den sind diesen Legendeneinheiten zugeordnet. Dementsprechend erfolgen thematische Auswertungen \u00fcber die Datenfelder der entsprechenden Datenbanktabellen PROFIL und HORIZONT. Die Tabelle LEGENDENEINHEIT beinhaltet u. a. die textlichen Beschreibungen der B\u00dcK250-Legendeneinheiten. \u00dcber zwei zus\u00e4tzliche Tabellen (GL_EINHEIT, GL_BAG_FLAECHENTYP) ist die Zuordnung der Legendeneinheiten zu Generallegendeneinheiten und zu hierarchisch gegliederten Fl\u00e4chentypen des Bodenausgangsgesteins m\u00f6glich.", "formats": [{"name": "MS Access"}], "keywords": ["boden", "bodenart", "bodenausgangsgestein", "bodenbelastung", "bodeneigenschaften", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengesellschaft", "bodenhorizont", "bodenkarte", "bodennutzung", "bodenprofil", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "bundesrepublik-deutschland", "de", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/boden/BUEK250-SachDB/SQLite/buek250_sachdatenbank_v10.zip"}, {"href": "https://download.bgr.de/bgr/boden/BUEK250-SachDB/access/buek250_sachdatenbank_v10.zip"}, {"href": "http://data.europa.eu/88u/dataset/6178e5a0-45d1-410b-9bd9-e5104d865899"}, {"rel": "self", "type": "application/geo+json", "title": "6178e5a0-45d1-410b-9bd9-e5104d865899", "name": "item", "description": "6178e5a0-45d1-410b-9bd9-e5104d865899", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6178e5a0-45d1-410b-9bd9-e5104d865899"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "6007a86c-7e1d-4f3c-a7d9-4eae01cac9c0-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2019-06-27T00:00:00", "type": "Dataset", "title": "Monthly soil erosion risk maps for Swiss permanent grassland, with average soil loss in tons/(ha*month), April", "description": "Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tonnes per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion.", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "atmospharische-bedingungen", "atmospheric-conditions", "aufbewahrungs-und-archivierungsplanung-aap-bund", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conditions-atmospheriques", "condizioni-atmosferiche", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "gesundheit-und-sicherheit", "human-health-and-safety", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "salute-umana-e-sicurezza", "sante-et-securite-des-personnes", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.erosion-gruenland_bodenabtrag/items/erosion-gruenland_bodenabtrag_apr"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.erosion-gruenland_bodenabtrag_apr"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1585980"}, {"href": "http://data.europa.eu/88u/dataset/6007a86c-7e1d-4f3c-a7d9-4eae01cac9c0-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "6007a86c-7e1d-4f3c-a7d9-4eae01cac9c0-bundesamt-fur-umwelt-bafu", "name": "item", "description": "6007a86c-7e1d-4f3c-a7d9-4eae01cac9c0-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6007a86c-7e1d-4f3c-a7d9-4eae01cac9c0-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "6672872c-a579-42e1-b7d4-35d706b61cfb-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2019-06-27T00:00:00", "type": "Dataset", "title": "Monthly soil erosion risk maps for Swiss permanent grassland, with average soil loss in tons/(ha*month), August", "description": "Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion.", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "atmospharische-bedingungen", "atmospheric-conditions", "aufbewahrungs-und-archivierungsplanung-aap-bund", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conditions-atmospheriques", "condizioni-atmosferiche", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "gesundheit-und-sicherheit", "human-health-and-safety", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "salute-umana-e-sicurezza", "sante-et-securite-des-personnes", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.erosion-gruenland_bodenabtrag/items/erosion-gruenland_bodenabtrag_aug"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.erosion-gruenland_bodenabtrag_aug"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1585980"}, {"href": "http://data.europa.eu/88u/dataset/6672872c-a579-42e1-b7d4-35d706b61cfb-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "6672872c-a579-42e1-b7d4-35d706b61cfb-bundesamt-fur-umwelt-bafu", "name": "item", "description": "6672872c-a579-42e1-b7d4-35d706b61cfb-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6672872c-a579-42e1-b7d4-35d706b61cfb-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "16b2ddaf-42ad-4487-95fc-288b975190bb", "type": "Feature", "geometry": null, "properties": {"updated": "2024-02-23T00:00:00", "type": "Dataset", "language": "de", "title": "Soil Assessment - Summary Soil Assessment (Total Soil Functional Performance)", "description": "In the soil functional overall performance, relevant soil functions with high or very high functional performance are evaluated in summary.", "formats": [{"name": "SHP"}], "keywords": ["bbodschg", "boden", "bodenfunktion", "bodenfunktionalen-gesamtleistung", "bundes-bodenschutzgesetz", "de", "envi", "karten", "landschaftsplan", "landschaftsplanung", "landschaftsprogramm", "landschaftsrahmenplan", "naturhaushalt", "natu\u0308rliche-bodenfunktion"], "contacts": [{"organization": "Landesamt f\u00fcr Umwelt des Landes Schleswig-Holstein (LfU)", "roles": ["creator"]}, {"organization": "https://opendata.schleswig-holstein.de/organization/lfu", "roles": ["publisher"]}]}, "links": [{"href": "https://umweltanwendungen.schleswig-holstein.de/data/meta/boden/bodenbewertung/fkt/fkt_ges_leist_002.zip"}, {"href": "https://umweltanwendungen.schleswig-holstein.de/data/meta/boden/bodenbewertung/fkt/fkt_ges_leist_010_025.zip"}, {"href": "https://umweltanwendungen.schleswig-holstein.de/data/meta/boden/bodenbewertung/fkt/fkt_ges_leist_100_999.zip"}, {"href": "https://umweltgeodienste.schleswig-holstein.de/WFS_Bodenbewertung?"}, {"href": "https://umweltgeodienste.schleswig-holstein.de/WMS_Bodenbewertung?"}, {"href": "http://data.europa.eu/88u/dataset/16b2ddaf-42ad-4487-95fc-288b975190bb~~1"}, {"rel": "self", "type": "application/geo+json", "title": "16b2ddaf-42ad-4487-95fc-288b975190bb", "name": "item", "description": "16b2ddaf-42ad-4487-95fc-288b975190bb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/16b2ddaf-42ad-4487-95fc-288b975190bb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2946862318", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:23:11Z", "type": "Journal Article", "created": "2019-06-03", "title": "Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>To follow the hypothesis that agricultural management practices affect structure and function of the soil microbiome regarding soil health and plant-beneficial traits, high-throughput (HT) metagenome analyses were performed on Chernozem soil samples from a long-term field experiment designated LTE-1 carried out at Bernburg-Strenzfeld (Saxony-Anhalt, Germany). Metagenomic DNA was extracted from soil samples representing the following treatments: (i) plough tillage with standard nitrogen fertilization and use of fungicides and growth regulators, (ii) plough tillage with reduced nitrogen fertilization (50%), (iii) cultivator tillage with standard nitrogen fertilization and use of fungicides and growth regulators, and (iv) cultivator tillage with reduced nitrogen fertilization (50%). Bulk soil (BS), as well as root-affected soil (RS), were considered for all treatments in replicates. HT-sequencing of metagenomic DNA yielded approx. 100 Giga bases (Gb) of sequence information. Taxonomic profiling of soil communities revealed the presence of 70 phyla, whereby Proteobacteria, Actinobacteria, Bacteroidetes, Planctomycetes, Acidobacteria, Thaumarchaeota, Firmicutes, Verrucomicrobia and Chloroflexi feature abundances of more than 1%. Functional microbiome profiling uncovered, i.a., numerous potential plant-beneficial, plant-growth-promoting and biocontrol traits predicted to be involved in nutrient provision, phytohormone synthesis, antagonism against pathogens and signal molecule synthesis relevant in microbe\u2013plant interaction. Neither taxonomic nor functional microbiome profiling based on single-read analyses revealed pronounced differences regarding the farming practices applied. Soil metagenome sequences were assembled and taxonomically binned. The ten most reliable and abundant Metagenomically Assembled Genomes (MAGs) were taxonomically classified and metabolically reconstructed. Importance of the phylum Thaumarchaeota for the analyzed microbiome is corroborated by the fact that the four corresponding MAGs were predicted to oxidize ammonia (nitrification), thus contributing to the cycling of nitrogen, and in addition are most probably able to fix carbon dioxide. Moreover, Thaumarchaeota and several bacterial MAGs also possess genes with predicted functions in plant\u2013growth\u2013promotion. Abundances of certain MAGs (species resolution level) responded to the tillage practice, whereas the factors compartment (BS vs. RS) and nitrogen fertilization only marginally shaped MAG abundance profiles. Hence, soil management regimes promoting plant-beneficial microbiome members are very likely advantageous for the respective agrosystem, its health and carbon sequestration and accordingly may enhance plant productivity. Since Chernozem soils are highly fertile, corresponding microbiome data represent a valuable reference resource for agronomy in general.</p></article>", "keywords": ["0301 basic medicine", "570", "plant\u2013growth\u2013promotion (PGP)", "metagenomically-assembled-genomes (MAGs)", "Article", "03 medical and health sciences", "carbon dioxide fixation", "Ammonia", "metagenomic binning", "Germany", "soil microbiome", "Proteobacteria", "Humans", "biocontrol", "secondary metabolite synthesis", "suppressive soil", "Phylogeny", "Soil Microbiology", "soil microbiome; suppressive soil; biocontrol; plant\u2013growth\u2013promotion (PGP); metagenomic binning; metagenomically-assembled-genomes (MAGs); secondary metabolite synthesis; carbon dioxide fixation; carbohydrate-active enzymes; differentially abundant features (DAFs)", "2. Zero hunger", "Bacteria", "Bacteroidetes", "Agriculture", "differentially abundant features (DAFs)", "15. Life on land", "Archaea", "Actinobacteria", "13. Climate action", "carbohydrate-active enzymes", "Metagenome"]}, "links": [{"href": "http://www.mdpi.com/2073-4425/10/6/424/pdf"}, {"href": "https://www.mdpi.com/2073-4425/10/6/424/pdf"}, {"href": "https://doi.org/2946862318"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Genes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2946862318", "name": "item", "description": "2946862318", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2946862318"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-03T00:00:00Z"}}, {"id": "10044/1/101414", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:12Z", "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": "10045/121448", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:12Z", "type": "Journal Article", "created": "2022-01-28", "title": "Effects of vegetation on soil cyanobacterial communities through time and space", "description": "Summary<p>   <p>Photoautotrophic soil cyanobacteria play essential ecological roles and are known to exhibit large changes in their diversity and abundance throughout early succession. However, much less is known about how and why soil cyanobacterial communities change as soil develops over centuries and millennia, and the effects that vegetation have on such communities.</p>  <p>We combined an extensive field survey, including 16 global soil chronosequences across contrasting ecosystems (from deserts to tropical forests), with molecular analyses to investigate how the diversity and abundance of photosynthetic and nonphotosynthetic soil cyanobacteria are affected by vegetation change during soil development, over time periods from hundreds to thousands of years.</p>  <p>We show that, in most chronosequences, the abundance, species richness and community composition of soil cyanobacteria are relatively stable as soil develops (from centuries to millennia). Regardless of soil age, forest chronosequences were consistently dominated by nonphotosynthetic cyanobacteria (Vampirovibrionia), while grasslands and shrublands were dominated by photosynthetic cyanobacteria. Chronosequences undergoing drastic vegetation shifts (e.g. transitions from grasslands to forests) experienced significant changes in the composition of soil cyanobacterial communities.</p>  <p>Our results advance our understanding of the ecology of cyanobacterial classes, and of the understudied nonphotosynthetic cyanobacteria in particular, and highlight the key role of vegetation as a major driver of their temporal dynamics as soil develops.</p>  </p", "keywords": ["16S amplicon sequencing", "Richness", "2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Illumina sequencing", "Illuminasequencing", "Ecolog\u00eda", "Forests", "15. Life on land", "Cyanobacteria", "Soil chronosequence", "Soil", "03 medical and health sciences", "Non-photosynthetic cyanobacteria", "Abundance", "13. Climate action", "Richnes", "Nonphotosynthetic", "Ecosystem", "Soil Microbiology"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.17996"}, {"href": "https://doi.org/10045/121448"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10045/121448", "name": "item", "description": "10045/121448", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10045/121448"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-15T00:00:00Z"}}, {"id": "10261/263399", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:17Z", "type": "Journal Article", "created": "2022-01-28", "title": "Effects of vegetation on soil cyanobacterial communities through time and space", "description": "Summary<p>   <p>Photoautotrophic soil cyanobacteria play essential ecological roles and are known to exhibit large changes in their diversity and abundance throughout early succession. However, much less is known about how and why soil cyanobacterial communities change as soil develops over centuries and millennia, and the effects that vegetation have on such communities.</p>  <p>We combined an extensive field survey, including 16 global soil chronosequences across contrasting ecosystems (from deserts to tropical forests), with molecular analyses to investigate how the diversity and abundance of photosynthetic and nonphotosynthetic soil cyanobacteria are affected by vegetation change during soil development, over time periods from hundreds to thousands of years.</p>  <p>We show that, in most chronosequences, the abundance, species richness and community composition of soil cyanobacteria are relatively stable as soil develops (from centuries to millennia). Regardless of soil age, forest chronosequences were consistently dominated by nonphotosynthetic cyanobacteria (Vampirovibrionia), while grasslands and shrublands were dominated by photosynthetic cyanobacteria. Chronosequences undergoing drastic vegetation shifts (e.g. transitions from grasslands to forests) experienced significant changes in the composition of soil cyanobacterial communities.</p>  <p>Our results advance our understanding of the ecology of cyanobacterial classes, and of the understudied nonphotosynthetic cyanobacteria in particular, and highlight the key role of vegetation as a major driver of their temporal dynamics as soil develops.</p>  </p", "keywords": ["16S amplicon sequencing", "Richness", "2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Illumina sequencing", "Illuminasequencing", "Ecolog\u00eda", "Forests", "15. Life on land", "Cyanobacteria", "Soil chronosequence", "Soil", "03 medical and health sciences", "Non-photosynthetic cyanobacteria", "Abundance", "13. Climate action", "Richnes", "Nonphotosynthetic", "Ecosystem", "Soil Microbiology"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.17996"}, {"href": "https://doi.org/10261/263399"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/263399", "name": "item", "description": "10261/263399", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/263399"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-15T00:00:00Z"}}, {"id": "10261/356392", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:19Z", "type": "Journal Article", "created": "2021-12-19", "title": "Stimulation of ammonia oxidizer and denitrifier abundances by nitrogen loading: Poor predictability for increased soil N2O emission", "description": "Abstract<p>Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N2O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N\uffe2\uff80\uff90induced changes in soil N2O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N2O emission by 261%, whereas there was no clear relationship between changes in soil N2O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field\uffe2\uff80\uff90based results challenge the laboratory\uffe2\uff80\uff90based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N2O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N\uffe2\uff80\uff90induced changes in soil N2O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N2O emission.</p", "keywords": ["IMPACTS", "0301 basic medicine", "570", "GENES", "Nitrogen", "REGIMES", "Nitrous Oxide", "Precipitation", "Soil pH", "precipitation", "NITRIFICATION", "nitrogen addition", "01 natural sciences", "630", "OXIDE EMISSIONS", "Nitrogen/analysis", "soil pH", "Soil", "03 medical and health sciences", "Ammonia", "FERTILIZATION", "MANAGEMENT", "Nitrous Oxide/analysis", "Biological and chemical processes", "METAANALYSIS", "Research Articles", "Ecosystem", "Soil Microbiology", "0105 earth and related environmental sciences", "Microbial gene abundance", "2. Zero hunger", "biological and chemical processes", "Nitrogen addition", "0303 health sciences", "denitrification", "Nitrous oxide", "nitrous oxide", "15. Life on land", "Nitrification", "nitrification", "6. Clean water", "microbial gene abundance", "13. Climate action", "Denitrification", "COMMUNITIES", "GRASSLANDS"]}, "links": [{"href": "https://doi.org/10261/356392"}, {"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": "10261/356392", "name": "item", "description": "10261/356392", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/356392"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-29T00:00:00Z"}}, {"id": "10615085-e2f0-4ee6-bb27-083353a30783", "type": "Feature", "geometry": null, "properties": {"updated": "2022-06-27T00:00:00Z", "type": "Dataset", "language": "de", "title": "CORINE Land Cover Deutschland 25 ha - Change 2000/2006 (Datensatz)", "description": "Ver\u00e4nderung der Landnutzung und Landbedeckung zwischen den Jahren 2000 und 2006", "keywords": ["2000-2006", "abbaufla\u0308chen", "baustellen", "boden", "bodenbedeckung", "bodennutzung", "corine-land-cover", "de", "deutschland", "hafengebiete", "inspireidentifiziert", "lagunen", "landnutzung", "landwirtschaft", "laubwa\u0308lder", "meere", "mischwa\u0308lder", "nadelwa\u0308lder", "opendata", "siedlung", "stra\u00dfen", "stra\u0308nde", "su\u0308mpfe", "torfmoore", "uba", "umweltbundesamt", "wasserfla\u0308chen", "weiden", "weinbaufla\u0308chen"], "contacts": [{"organization": "Umweltbundesamt", "roles": ["creator"]}]}, "links": [{"href": "https://datahub.uba.de/server/rest/directories/arcgisforinspire/INSPIRE/clc_MapServer/Daten/CLC_CH_00_06.zip"}, {"href": "http://data.europa.eu/88u/dataset/10615085-e2f0-4ee6-bb27-083353a30783"}, {"rel": "self", "type": "application/geo+json", "title": "10615085-e2f0-4ee6-bb27-083353a30783", "name": "item", "description": "10615085-e2f0-4ee6-bb27-083353a30783", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10615085-e2f0-4ee6-bb27-083353a30783"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "11380/1307595", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:31Z", "type": "Journal Article", "created": "2018-02-12", "title": "Phytophagous hoverflies (Diptera: Syrphidae) as indicators of changing landscapes", "description": "Spatial and temporal differences in landscape patterns are of considerable interest for understanding ecological processes. In this study, we assessed habitat quality by using the Syrph The Net database and data on decreasing species richness over a 25-year period for the two largest phytophagous hoverfly genera (Merodon and Cheilosia). Furthermore, within this time frame, we explored congruence between ecological responses (species richness and Biodiversity Maintenance Function for these two genera) and landscape structural changes through correlation analysis. Our results indicate that landscapes have experienced changes in aggregation, isolation/connectivity and landscape diversity, with these parameters being significantly correlated with Cheilosia species richness loss and habitat quality. We conclude that the genus Cheilosia is a good bioindicator that can highlight not only the current quality of an area but also temporal changes in landscape patterns.", "keywords": ["0106 biological sciences", "MODELS", "INSECTS", "DIVERSITY", "LAND COVER CHANGE", "Cheilosia", "Land cover change", "01 natural sciences", "BIOINDICATORS", "CONNECTIVITY", "RICHNESS", "FORESTS", "14. Life underwater", "Merodon", "Connectivity", "LAND-USE", "Landscape structure", "Bioindicators; Cheilosia; Connectivity; Insects; Land cover change; Landscape structure; Merodon; Species richness", "15. Life on land", "EXTINCTION RISK", "Insects", "Ecology", " evolutionary biology", "QH540 Ecology / \u00f6kol\u00f3gia", "Bioindicators", "BIODIVERSITY", "ABUNDANCE", "Species richness", "RESPONSES"]}, "links": [{"href": "https://akademiai.com/doi/pdf/10.1556/168.2017.18.3.7"}, {"href": "https://doi.org/11380/1307595"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Community%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11380/1307595", "name": "item", "description": "11380/1307595", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11380/1307595"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "15008219-76C6-4CF4-AC7B-13BAC32E5686", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:37Z", "type": "Dataset", "language": "de", "title": "Soil Regions of the Federal Republic of Germany 1:5,000,000", "description": "Small-scale soil maps at scales of 1:200,000 to 1:5,000,000 are usually compiled from large- or medium-scale soil maps by summarizing the soil units depicted there. A uniform pedoregional classification is required to ensure a comparable approach across regions. In this data set, the top level of soil mapping in Germany is presented in 12 soil regions and described in German and English in terms of content. This new map of soil regions is the result of a content and spatial summary of the legend units of the soil landscapes of Germany at a scale of 1:5,000,000, version 4.0. More detailed information on the soil regions and soil landscapes of the Federal Republic of Germany can be found in the Soil Mapping Manual (KA5), chapter 6.5 starting on page 335.", "keywords": ["boden", "bodenausgangsgestein", "bodengesellschaft", "bodeninformationssystem", "bodenregion", "bodensystematik", "bundesrepublik-deutschland", "de", "fisbo-bgr"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/boden/BR5000/jpg/br5000_v40.zip"}, {"href": "https://download.bgr.de/bgr/boden/BR5000/pdf/br5000_v40.zip"}, {"href": "https://download.bgr.de/bgr/boden/BR5000/png/br5000_v40.zip"}, {"href": "https://download.bgr.de/bgr/boden/BR5000/shp/br5000_v40.zip"}, {"href": "https://download.bgr.de/bgr/boden/BR5000/tiff/br5000_v40.zip"}, {"href": "http://data.europa.eu/88u/dataset/f877ce17-5081-4db8-9214-7f018bd5df42"}, {"rel": "self", "type": "application/geo+json", "title": "15008219-76C6-4CF4-AC7B-13BAC32E5686", "name": "item", "description": "15008219-76C6-4CF4-AC7B-13BAC32E5686", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/15008219-76C6-4CF4-AC7B-13BAC32E5686"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1C4DD9D2-F846-492D-BC2D-36C365CB37C0", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.45, 46.99], [5.45, 55.06], [15.64, 55.06], [15.64, 46.99], [5.45, 46.99]]]}, "properties": {"updated": "2020-07-22", "type": "Service", "language": "ger", "title": "Soil types of the topsoils of Germany 1:1.000.000 (WMS)", "description": "Web Map Service (WMS) for the map of soil types of the topsoils of Germany. The map gives a visual impression of the distribution of typical, i.e. area-dominant (usually of the most common) soil types in upper soils in Germany. The map visualises the results of studies carried out in the BGR report on soil types of soils in Germany; BGR Archives, No. 0127305, are documented. The soil type was derived from the analysis data on grain fractions of the fine soils for 16,132 sites in Germany and the dominant Borden species group was assigned to the legend units of the use-differentiated soil overview map 1:1,000,000 (B\u00dcK1000N V2.3). For reasons of clarity adapted to the scale (1:1,000,000), the presentation is limited to the level of the soil type group in accordance with the Soil Science Mapping Guide (KA5).", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Soil", "Bodenart", "Bodenschutz", "Umweltschutz", "Bodenmineralogie", "Bodeneigenschaft", "Bodenfl\u00e4chendaten", "Boden\u00fcbersichtskarte", "infoMapAccessService", "inspireidentifiziert", "Korngr\u00f6\u00dfenzusammensetzung", "Textur", "opendata", "Bundesrepublik Deutschland", "National"], "contacts": [{"name": "Stange, Florian, Dr.", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Bodenart"}, {"id": "Bodenschutz"}, {"id": "Umweltschutz"}, {"id": "Bodenmineralogie"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Bodeneigenschaft"}, {"id": "Bodenfl\u00e4chendaten"}, {"id": "Boden\u00fcbersichtskarte"}, {"id": "infoMapAccessService"}, {"id": "inspireidentifiziert"}, {"id": "Korngr\u00f6\u00dfenzusammensetzung"}, {"id": "Textur"}, {"id": "opendata"}], "scheme": "Freies Schlagwort"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "BOART1000OB (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/boart1000ob/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/boart1000ob", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/boart1000ob/?"}, {"href": "https://services.bgr.de/wms/boden/boart1000ob/?"}, {"href": "https://download.bgr.de/bgr/boden/BOART1000/WMS/Vorschaugrafik/BOART1000OB.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "1C4DD9D2-F846-492D-BC2D-36C365CB37C0", "name": "item", "description": "1C4DD9D2-F846-492D-BC2D-36C365CB37C0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1C4DD9D2-F846-492D-BC2D-36C365CB37C0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-22T00:00:00Z"}}, {"id": "1FA71F7D-7341-4870-BCF8-53230806B3BB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:45Z", "type": "Dataset", "title": "Soil quality rating for cropland in Germany 1:1,000,000 (WMS)", "description": "WMS service for the soil quality rating for cropland in Germany. The Muencheberg Soil Quality Rating (SQR) was developed by the Leibniz Centre for Agricultural Landscape Research (ZALF). SQR describes the suitability of sites under agricultural land use and helps to estimate the yield potential of sites at a global scale. This method was especially adapted for application with soil maps by the Federal Institute of Geosciences and Resources BGR and is published in the documentation of Ad-hoc-AG Boden (representing the soil experts of the geological services of the German federal states). The map shows the SQR for cropland in Germany based on the landuse stratified soilmap of Germany at scale 1:1,000,000. Climate (DWD), Relief (BKG) and landuse data (CLC2006) are used as input data in addition to the soil map. SQR consists of a series of pedotransfer rules. First, eight basic soil properties are weighted and combined to describe the soil (substrate, rooting depth, etc.). Next, hazard indicators are derived (drought risk, soil depth above solid rock). These indicators are critical for farming and limit the overall soil quality. Only those hazard indicators were selected for SQR which have the greatest effect on potential grain yield. The final SQR-score ranges from about 0 to 102 points.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["bodenwert", "bundesrepublik-deutschland", "de", "ertragspotential", "infofeatureaccessservice", "soil"], "contacts": [{"organization": "Kruse, Klaus", "roles": ["creator"]}]}, "links": [{"href": "https://services.bgr.de/wms/boden/sqr1000/?"}, {"href": "http://data.europa.eu/88u/dataset/1c23bdc2-c77f-4581-911a-bcdbf54ecec5"}, {"rel": "self", "type": "application/geo+json", "title": "1FA71F7D-7341-4870-BCF8-53230806B3BB", "name": "item", "description": "1FA71F7D-7341-4870-BCF8-53230806B3BB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1FA71F7D-7341-4870-BCF8-53230806B3BB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-27T00:00:00", "type": "Dataset", "title": "Monthly rainfall erosivity (R-factor) maps of Switzerland in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9, June", "description": "<p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359\u20134373).", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "aufbewahrungs-und-archivierungsplanung-aap-bund", "aumento-delle-precipitazioni", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "intensification-des-precipitations", "niederschlagserhohung", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "precipitation-enhancement", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.niederschlagserosivitaet/items/niederschlagserosivitaet-jun"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.niederschlagserosivitaet-jun"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.researchgate.net/publication/309429881_Regionalization_of_monthly_rainfall_erosivity_patterns_in_Switzerland"}, {"href": "http://data.europa.eu/88u/dataset/1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu", "name": "item", "description": "1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1c8c4639-c783-4f76-954d-d0f82e07ed28-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1ccdefa1-bbd1-11ec-a3c9-10e7c63313a0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-10-06T16:22:46Z", "type": "Dataset", "title": "Heavy metal and trace element background values in German soils 1:1,000,000 (WMS)", "description": "Web Map Service (WMS) of the map Heavy metal and trace element background values in German soils. New, nationwide background values for 16 heavy metals and trace elements were published by the LABO in 2017. They are based on profile descriptions and measurements of aqua regia extracts, which were combined and homogenized by the BGR. Measurements with high quantification limits were excluded from further evaluation according to certain criteria in order to avoid their influence on the derivation of background values. To prevent the background values from being disproportionately influenced by regions with high sample densities, spatial thinning was partially performed. The values of several horizons of a site were combined to one value by depth-weighted averages. For evaluation, the available measured values were assigned to different groups of soil parent materials. In addition, a distinction was made whether the samples were taken in the topsoil, in the subsoil or in the underground. In the case of topsoil, the different land use (arable land, grassland, forest) was also taken into account for the evaluation. Unconsolidated rocks were evaluated separately for northern and southern Germany due to their different composition. By dividing the data into sub-collectives, reliable case numbers were not achieved in all cases. Consequently, only background values with case numbers ?20 are presented. The exact derivation procedure can be found in the report of the LABO-Bund/L\u00e4nder-Arbeitsgemeinschaft Bodenschutz (2017): 'Hintergrundwerte f\u00fcr anorganische und organische Stoffe in B\u00f6den', 4th revised and supplemented edition.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["boden", "bundesrepublik-deutschland", "de"], "contacts": [{"organization": "Stegger, Ulrich", "roles": ["creator"]}]}, "links": [{"href": "https://services.bgr.de/wms/boden/hgw1000/?"}, {"href": "http://data.europa.eu/88u/dataset/9950293b-938a-4192-9eb0-288de8fb32f0"}, {"rel": "self", "type": "application/geo+json", "title": "1ccdefa1-bbd1-11ec-a3c9-10e7c63313a0", "name": "item", "description": "1ccdefa1-bbd1-11ec-a3c9-10e7c63313a0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1ccdefa1-bbd1-11ec-a3c9-10e7c63313a0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1c8cd0c0-f7db-4b37-a059-1bbfbfe7a442", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.5, 47.0], [5.5, 55.0], [15.0, 55.0], [15.0, 47.0], [5.5, 47.0]]]}, "properties": {"updated": "2024-01-24", "type": "Service", "created": "2015-11-26", "language": "ger", "title": "Water storage capacity (field capacity) of soils in Germany up to 1m depth (WMS)", "description": "The map of the water storage capacity of soils in Germany gives an overview of the field capacity of soils to a depth of 1m below ground surface. Field capacity is the amount of water that can be stored in the soil against gravity. Only part of this amount of water is plant-available. The map is based on the evaluation of the use-differentiated soil overview map 1:1.000.000 (BUEK1000N) and shows the classified field capacity. The method is published in the Soil Science Mapping Guide (KA4) and in the Soil Science Methodology Documentation of the ad hoc Soil Working Group. For the usage-dependent differentiation of the profile data, the land use data CORINE Land Cover 2006 are used.", "formats": [{"name": "png"}, {"name": "OGC:WMS"}], "keywords": ["Boden", "Bodenkarte", "Bodenwasser", "Bodenwasserhaushalt", "Boden", "Soil", "Feldkapazit\u00e4t", "Wasserspeicherf\u00e4higkeit", "infoMapAccessService", "inspireidentifiziert", "opendata", "Bundesrepublik Deutschland", "National"], "contacts": [{"name": "Stegger, Ulrich", "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "fis.bo@bgr.de"}], "addresses": [{"deliveryPoint": ["Stilleweg 2"], "city": "Hannover", "administrativeArea": null, "postalCode": "30655", "country": "DE"}], "links": [{"href": null}]}, {"name": null, "organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "geodatenmanagement@bgr.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "themes": [{"concepts": [{"id": "Boden"}, {"id": "Bodenkarte"}, {"id": "Bodenwasser"}, {"id": "Bodenwasserhaushalt"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "Boden"}, {"id": "Soil"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "title_alternate": "FK10dm1000_250 (WMS)"}, "links": [{"href": "https://services.bgr.de/wms/boden/fk10dm1000/?REQUEST=GetCapabilities&SERVICE=wms&VERSION=1.3.0", "protocol": "OGC:WMS", "rel": null}, {"href": "https://services.bgr.de/boden/fk10dm1000", "description": "Karte im BGR-Geoviewer", "rel": "information"}, {"href": "https://services.bgr.de/wms/boden/fk10dm1000/?"}, {"href": "https://services.bgr.de/wms/boden/fk10dm1000/?"}, {"href": "https://download.bgr.de/bgr/boden/FK10DM1000/WMS/Vorschaugrafik/FK10DM1000.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "1c8cd0c0-f7db-4b37-a059-1bbfbfe7a442", "name": "item", "description": "1c8cd0c0-f7db-4b37-a059-1bbfbfe7a442", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1c8cd0c0-f7db-4b37-a059-1bbfbfe7a442"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-24T00:00:00Z"}}, {"id": "1f9cac1e-ac71-4007-bec1-bdf979fa4403", "type": "Feature", "geometry": null, "properties": {"updated": "2025-03-12T00:00:00Z", "type": "Dataset", "language": "de", "title": "Water storage capacity (field capacity) of the soils of Germany to a depth of 1m", "description": "The map of the water storage capacity of soils in Germany gives an overview of the field capacity of soils to a depth of 1m below ground surface. Field capacity is the amount of water that can be stored in the soil against gravity. Only part of this amount of water is plant-available. The map is based on the evaluation of the use-differentiated soil overview map 1:1.000.000 (BUEK1000N) and shows the classified field capacity. The method is published in the Soil Science Mapping Guide (KA4) and in the Soil Science Methodology Documentation of the ad hoc Soil Working Group. For the usage-dependent differentiation of the profile data, the land use data CORINE Land Cover 2006 are used.", "formats": [{"name": "georef. 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For the Ordinary Kriging Interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring System, the National Soil Observation System and the European Soil Geochemical Atlas were taken into account. Element concentrations were analyzed in aqua regia outcrop (HNO3:HCl:H2O) from dried (40\u00b0C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic over-embossing of element concentrations (point sources) were excluded in advance. The results of the soil geochemical atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no parcel-sharp information or definitive conclusions on the geology, bioavailability, the percentage distribution of geogenous and anthropogenic sources as well as the load on the soil can be derived from this. Quotation of Publication: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. W\u00e4chter, R. Kretzschmar, R. G. Meuli: Geochemical soil atlas of Switzerland. Agroscope, Zurich, 2023.", "formats": [{"name": "HTML"}], "keywords": ["atlante", "atlas", "bgdi-bundesgeodaten-infrastruktur", "biochemie", "biochemistry", "biochimica", "biochimie", "boden", "bodenkartierung", "bodenqualitat", "bund", "carico-da-metalli-pesanti", "cartographie-des-sols", "ch", "charge-en-metaux-lourds", "confederation", "confederazione", "contenuto-in-nutrienti", "fsdi-federal-spatial-data-infrastructure", "heavy-metal-load", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "mappatura-del-suolo", "metal-toxique", "metalli-tossici", "nahrstoffgehalt", "nutrient-content", "qualita-del-suolo", "qualite-du-sol", "schwermetallbelastung", "soil", "soil-mapping", "soil-quality", "sol", "suolo", "teneur-en-nutriments", "toxic-metal", "toxische-metalle"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.geochemischer-bodenatlas_schweiz_cadmium/items/geochemischer-bodenatlas_schweiz_cadmium"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.geochemischer-bodenatlas_schweiz_cadmium"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.agroscope.admin.ch/agroscope/de/home/themen/umwelt-ressourcen/boden-gewaesser-naehrstoffe/nabo/ergaenzende-untersuchungen/geochemischer-bodenatlas.html"}, {"href": "http://data.europa.eu/88u/dataset/24e2d89a-a263-495d-bd27-8a05a35d53e9-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "24e2d89a-a263-495d-bd27-8a05a35d53e9-bundesamt-fur-umwelt-bafu", "name": "item", "description": "24e2d89a-a263-495d-bd27-8a05a35d53e9-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/24e2d89a-a263-495d-bd27-8a05a35d53e9-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "256be392-6fa9-4595-b0a3-9390c039bb80-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2019-06-27T00:00:00", "type": "Dataset", "title": "Monthly soil erosion risk maps for Swiss permanent grassland, with average soil loss in tons/(ha*month), October", "description": "Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion.", "formats": [{"name": "HTML"}], "keywords": ["amenagement-antierosif", "atmospharische-bedingungen", "atmospheric-conditions", "aufbewahrungs-und-archivierungsplanung-aap-bund", "bgdi-bundesgeodaten-infrastruktur", "boden", "bodenerosion", "ch", "conditions-atmospheriques", "condizioni-atmosferiche", "conservation-and-archiving-planning-aap-confederation", "controllo-dellerosione", "e-geoch", "erosion", "erosion-control", "erosion-du-sol", "erosione", "erosione-del-suolo", "erosionsschutz", "fsdi-federal-spatial-data-infrastructure", "gesundheit-und-sicherheit", "human-health-and-safety", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "pianificazione-della-conservazione-e-dellarchiviazione-aap-confederazione", "planification-de-la-conservation-et-de-larchivage-aap-confederation", "salute-umana-e-sicurezza", "sante-et-securite-des-personnes", "soil", "soil-erosion", "sol", "suolo"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.erosion-gruenland_bodenabtrag/items/erosion-gruenland_bodenabtrag_okt"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.erosion-gruenland_bodenabtrag_okt"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.tandfonline.com/doi/full/10.1080/17445647.2019.1585980"}, {"href": "http://data.europa.eu/88u/dataset/256be392-6fa9-4595-b0a3-9390c039bb80-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "256be392-6fa9-4595-b0a3-9390c039bb80-bundesamt-fur-umwelt-bafu", "name": "item", "description": "256be392-6fa9-4595-b0a3-9390c039bb80-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/256be392-6fa9-4595-b0a3-9390c039bb80-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "25AB9CD1-5996-4DAC-BE54-42A3CF8CD9B9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.49, 47.18], [5.49, 55.06], [15.48, 55.06], [15.48, 47.18], [5.49, 47.18]]]}, "properties": {"updated": "2020-07-22", "type": "Service", "created": "2007-12-01", "language": "ger", "title": "Ground map of the Federal Republic of Germany 1:2.000.000 (WMS)", "description": "Web Map Service (WMS) for B\u00dcK2000. The B\u00dcK2000, version 1.0 was originally derived from the B\u00dcK1000 as a soil data basis for the Hydrological Atlas of Germany (HAD) and, in combination with an accompanying text, selected photos and soil profile images, forms Table 1.3 in the HAD. The parameters of the B\u00dcK1000 were adopted into the text legend summarised in 60 soil science units. In the course of the cartographic generalization, polygons that fell below a predetermined minimum area size were assigned to the neighboring areas with the lowest content contrast. Taking into account the proportion of foreign surfaces, several polygons with the same content were also summarised. 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The map Groups of soil exit rocks in Germany 1:5.000.000, version 3.0 informs about the area-wide distribution of the rock groups from which the soils form. The use-differentiated soil overview map of the Federal Republic of Germany on a scale of 1:1,000,000 (B\u00dcK1000N V2.3) with its 72 legend units serves as the basis. 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Kattegat is a waterbody between Denmark and Sweden that receives inflow from the Baltic Sea and direct urban runoff from the metropolitan area of Copenhagen and Malm\u00f6. MPs were measured in 14 continuous transects while steaming between monitoring stations. MP levels tended to be highest close to the Copenhagen-Malm\u00f6 area, albeit this was more obvious from the abundance of particles rather than mass. The outcome of the measurements allowed a rough MP budget in the Danish Straits region, suggesting that urban waste- and stormwater discharges could not be neglected as potential MP source in these waters. The marine samples were collected by pumping and filtering water over 10 \u03bcm steel filters, hereby sampling a total of 19.3 m3. They were prepared and analyzed by FPA-\u03bcFTIR imaging, and the scans interpreted to yield MP size, shape, polymer type, and estimated mass. The average concentration was 103 \u00b1 86 items m-3, corresponding to 23.3 \u00b1 28.3 \u03bcg m-3 (17-286 items m-3; 0.6-84.1 \u03bcg m-3). Most MPs were smaller than 100 \u03bcm and fragments dominated the samples. The carbonyl index was assessed for polyolefins, showing that oxidation increased with decreasing MP size, but did not correlate with distance to urban areas. A rough budget of MP in the Danish Straits region suggested that MPs discharged from urban waste- and stormwaters were an import source of MPs.", "keywords": ["MP abundance", "13. Climate action", "Microplastics", "\u03bcFTIR-imaging", "/dk/atira/pure/sustainabledevelopmentgoals/life_below_water; name=SDG 14 - Life Below Water", "11. Sustainability", "Microplastic sources", "Mass concentration", "14. Life underwater", "/dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities; name=SDG 11 - Sustainable Cities and Communities", "6. 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