{"type": "FeatureCollection", "features": [{"id": "10.5061/dryad.f542t16", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:22:10Z", "type": "Dataset", "title": "Data from: Grazing and resource availability control soil nematode body size and abundance-mass relationship in semi-arid grassland", "description": "unspecified1. Body size is a central functional trait in ecological communities.  Despite recognition of the importance of above-belowground interactions,  effects of aboveground herbivores on size and abundance-size relationships  in soil fauna are almost uncharted. Depending on climate and soil  properties, herbivores may increase basal resources of soil food webs, or  reduce pore space, mechanisms expected to have contrasting effects on soil  animal body size. 2. We investigated how body size and shape of soil  nematodes responded to mammalian grazers in three semi-arid grassland  sites, along a gradient of soil texture and organic matter (OM) in a  long-term herbivore removal study. We analysed nematode mass, length,  diameter, body size distribution, and biomass distribution. We formulated  two mechanistic hypotheses to assess whether resource availability or pore  space was the dominant abiotic control and modulated the effects of  grazing. 3. In ungrazed soils, average and maximum nematode size, as well  as abundance and biomass of large nematodes, were greater in the high-OM  than in the low-OM soil, and intermediate in the medium-OM soil. Grazing  promoted larger sizes in the low-OM soil, where it had been shown to  increase organic matter and microbial biomass, and led to more homogeneous  average size and body size distribution across sites. The results support  the hypothesis that nematode size was controlled by basal resource  availability rather than by pore space. However, body shape might have  been constrained by small pores in the fine-texture, high-OM soil, where  nematodes were more elongated. 4. Grazing may facilitate larger sizes in  soil nematode communities by boosting basal resources where these are  limiting, with important implications for estimations of nematode biomass  and contribution to carbon and nutrient cycling. These findings contribute  to the insofar-limited mechanistic understanding of how herbivores can  shape functional traits of soil fauna, and demonstrate that animals at one  trophic level may control patterns in body size and abundance-size  relationships in other trophic levels without a direct predator-prey or  competitive linkage between them.", "keywords": ["2. Zero hunger", "Individual size distribution", "Soil texture", "Aboveground-belowground interactions", "15. Life on land", "Mammalian herbivores", "organic matter", "Soil fauna"], "contacts": [{"organization": "Andriuzzi, Walter S., Wall, Diana H.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.f542t16"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.f542t16", "name": "item", "description": "10.5061/dryad.f542t16", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.f542t16"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-17T00:00:00Z"}}, {"id": "10.1002/joc.1276", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:14:55Z", "type": "Journal Article", "created": "2005-11-30", "title": "Very High Resolution Interpolated Climate Surfaces For Global Land Areas", "description": "(Uploaded by Plazi for the Bat Literature Project) We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950\u20132000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes but positive in the tropics. Uncertainty is highest in mountainous and in poorly sampled areas. Data partitioning showed high uncertainty of the surfaces on isolated islands, e.g. in the Pacific. Aggregating the elevation and climate data to 10 arc min resolution showed an enormous variation within grid cells, illustrating the value of high-resolution surfaces. A comparison with an existing data set at 10 arc min resolution showed overall agreement, but with significant variation in some regions. A comparison with two high-resolution data sets for the United States also identified areas with large local differences, particularly in mountainous areas. Compared to previous global climatologies, ours has the following advantages: the data are at a higher spatial resolution (400 times greater or more); more weather station records were used; improved elevation data were used; and more information about spatial patterns of uncertainty in the data is available. Owing to the overall low density of available climate stations, our surfaces do not capture of all variation that may occur at a resolution of 1 km, particularly of precipitation in mountainous areas. In future work, such variation might be captured through knowledgebased methods and inclusion of additional co-variates, particularly layers obtained through remote sensing. Copyright \uf6d9 2005 Royal Meteorological Society.", "keywords": ["0106 biological sciences", "0301 basic medicine", "550", "Climate", "bats", "bat", "Precipitation", "precipitation", "01 natural sciences", "Error", "geographical information systems", "03 medical and health sciences", "precipitaci\u00f3n atmosf\u00e9rica", "Chiroptera", "1902 Atmospheric Science", "Animalia", "Chordata", "temperatura", "factores clim\u00e1ticos", "procesamiento de datos", "Temperature", "Uncertainty", "temperature", "Biodiversity", "15. Life on land", "GIS", "climatic factors", "Interpolation", "ANUSPLIN", "13. 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