SoilTemp: A global database of near-surface temperature

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 GottschallJoseph 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, Tudor-Mihai Ursu, Sylvia Haider, Ronja E. M. Wedegärtner, Marko Smiljanic, Mario Trouillier, Martin Wilmking, Jan Altman, Josef Brůna, Lucia Hederová, Martin Macek, Matěj Man, Jan Wild, Pascal Vittoz, Meelis Pärtel, Peter Barančok, Róbert Kanka, Jozef Kollár, Andrej Palaj, Agustina Barros, Ana C. Mazzolari, Marijn Bauters, Pascal Boeckx, José-Luis Benito Alonso, Shengwei Zong, Valter Di Cecco, Zuzana Sitková, Katja Tielbörger, Liesbeth van den Brink, Robert Weigel, Jürgen Homeier, C. Johan Dahlberg, Sergiy Medinets, Volodymyr Medinets, Hans J. De Boeck, Miguel Portillo-Estrada, Lore T. Verryckt, Ann Milbau, Gergana N. Daskalova, Haydn J. D. Thomas, Isla H. Myers-Smith, Benjamin Blonder, Jörg G. Stephan, Patrice Descombes, Florian Zellweger, Esther R. Frei, Bernard Heinesch, Christopher Andrews, Jan Dick, Lukas Siebicke, Adrian Rocha, Rebecca A. Senior, Christian Rixen, Juan J. Jimenez, Julia Boike, Aníbal Pauchard, Thomas Scholten, Brett Scheffers, David Klinges, Edmund W. Basham, Jian Zhang, Zhaochen Zhang, Charly Géron, Fatih Fazlioglu, Onur Candan, Jhonatan Sallo Bravo, Filip Hrbacek, Kamil Laska, Edoardo Cremonese, Peter Haase, Fernando E. Moyano, Christian Rossi, Ivan Nijs

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Abstract

Abstract 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.
Original languageEnglish
JournalGlobal Change Biology
Volume26
Issue number11
Pages (from-to)6616-6629
Number of pages14
ISSN1354-1013
DOIs
Publication statusPublished - Nov-2020

Thematic List 2020

  • Soil & air

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