SoilTemp: A global database of near-surface temperature
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F20%3A43918020" target="_blank" >RIV/62156489:43410/20:43918020 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/20:00533224 RIV/60460709:41320/20:84772 RIV/60076658:12310/20:43901215 RIV/00216224:14310/20:00117583
Result on the web
<a href="https://doi.org/10.1111/gcb.15123" target="_blank" >https://doi.org/10.1111/gcb.15123</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/gcb.15123" target="_blank" >10.1111/gcb.15123</a>
Alternative languages
Result language
angličtina
Original language name
SoilTemp: A global database of near-surface temperature
Original language description
Current 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Global Change Biology
ISSN
1354-1013
e-ISSN
—
Volume of the periodical
26
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
6616-6629
UT code for WoS article
000542205100001
EID of the result in the Scopus database
2-s2.0-85086643464