SoilTemp: A global database of near-surface temperature

Lembrechts Jonas J., Aalto Juha, Ashcroft Michael B., De Frenne Pieter, Kopecký Martin, Lenoir Jonathan, Luoto Miska, Maclean Ilya M. D., Roupsard Olivier, et al.. 2020. SoilTemp: A global database of near-surface temperature. Global Change Biology, 26 (11) : 6616-6629.

https://doi.org/10.1111/gcb.15123

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.12126516 / Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.12126516

Quartile : Outlier, Sujet : BIODIVERSITY CONSERVATION / Quartile : Outlier, Sujet : ECOLOGY / Quartile : Outlier, Sujet : ENVIRONMENTAL SCIENCES

Résumé : 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.

Mots-clés Agrovoc : température du sol, climatologie, données climatiques, base de données spatiale, données spatiales, microclimat

Mots-clés libres : Climate Change, Database, Ecosystem processes, Microclimate, Soil climate, Species distributions, Temperature, Topoclimate

Classification Agris : P40 - Météorologie et climatologie
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 6 (2019-) - Changement climatique

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