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SoilTemp: A global database of near-surface temperature

Journal article
Authors Jonas J. Lembrechts
Juha Aalto
Michael B. Ashcroft
Pieter De Frenne
Martin Kopecký
Jonathan Lenoir
Miska Luoto
Ilya M.D. Maclean
Olivier Roupsard
Eduardo Fuentes-Lillo
Rafael A. García
Loïc Pellissier
Camille Pitteloud
Juha M. Alatalo
Stuart W. Smith
Robert G. Björk
Lena Muffler
Amanda Ratier Backes
Simone Cesarz
Felix Gottschall
Joseph Okello
Josef Urban
Roman Plichta
Martin Svátek
Shyam S. Phartyal
Sonja Wipf
Nico Eisenhauer
Mihai Pușcaș
Pavel D. Turtureanu
Andrej Varlagin
Romina D. Dimarco
Alistair S. Jump
Krystal Randall
Ellen Dorrepaal
Keith Larson
Josefine Walz
Luca Vitale
Miroslav Svoboda
Rebecca Finger Higgens
Aud H. Halbritter
Salvatore R. Curasi
Ian Klupar
Austin Koontz
William D. Pearse
Elizabeth Simpson
Michael Stemkovski
Bente Jessen Graae
Mia Vedel Sørensen
Toke T. Høye
M. Rosa Fernández Calzado
Juan Lorite
Michele Carbognani
Marcello Tomaselli
T'ai G.W. Forte
Alessandro Petraglia
Stef Haesen
Ben Somers
Koenraad Van Meerbeek
Mats P. Björkman
Kristoffer Hylander
Sonia Merinero
Mana Gharun
Nina Buchmann
Jiri Dolezal
Radim Matula
Andrew D. Thomas
Joseph J. Bailey
Dany Ghosn
George Kazakis
Miguel A. de Pablo
Julia Kemppinen
Pekka Niittynen
Lisa Rew
Tim Seipel
Christian Larson
James D.M. Speed
Jonas Ardö
Nicoletta Cannone
Mauro Guglielmin
Francesco Malfasi
Maaike Y. Bader
Rafaella Canessa
Angela Stanisci
Juergen Kreyling
Jonas Schmeddes
Laurenz Teuber
Valeria Aschero
Marek Čiliak
František Máliš
Pallieter De Smedt
Sanne Govaert
Camille Meeussen
Pieter Vangansbeke
Khatuna Gigauri
Andrea Lamprecht
Harald Pauli
Klaus Steinbauer
Manuela Winkler
Masahito Ueyama
Martin A. Nuñez
Published in Global Change Biology
ISSN 13541013
Publication year 2020
Published at Department of Earth Sciences
Language en
Keywords climate change, database, ecosystem processes, microclimate, soil climate, species distributions, temperature, topoclimate
Subject categories Climate Research


© 2020 John Wiley & Sons Ltd 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.

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