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dc.contributor.authorLembrechts, Jonas J.
dc.contributor.authorSmith, Stuart
dc.contributor.authorHalbritter, Aud Helen
dc.contributor.authorGraae, Bente Jessen
dc.contributor.authorSørensen, Mia Vedel
dc.contributor.authorSpeed, James David Mervyn
dc.contributor.authorWedegärtner, Ronja Elisabeth Magdalene
dc.date.accessioned2021-09-01T11:36:37Z
dc.date.available2021-09-01T11:36:37Z
dc.date.created2021-01-08T10:57:41Z
dc.date.issued2020
dc.identifier.citationGlobal Change Biology. 2020, 26 6616-6629.en_US
dc.identifier.issn1354-1013
dc.identifier.urihttps://hdl.handle.net/11250/2772226
dc.description.abstractCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.titleSoilTemp: A global database of near-surface temperatureen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber6616-6629en_US
dc.source.volume26en_US
dc.source.journalGlobal Change Biologyen_US
dc.identifier.doihttps://doi.org/10.1111/gcb.15123
dc.identifier.cristin1867590
dc.relation.projectNorges forskningsråd: 262064en_US
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2020 by Wileyen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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