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SoilTemp: a global database of near-surface temperature.

  • Author(s): Lembrechts, Jonas J
  • Aalto, Juha
  • Ashcroft, Michael B
  • De Frenne, Pieter
  • Kopecký, Martin
  • Lenoir, Jonathan
  • Luoto, Miska
  • Maclean, Ilya MD
  • Roupsard, Olivier
  • Fuentes-Lillo, Eduardo
  • García, Rafael A
  • Pellissier, Loïc
  • Pitteloud, Camille
  • Alatalo, Juha M
  • Smith, Stuart W
  • Björk, Robert G
  • Muffler, Lena
  • Cesarz, Simone
  • Gottschall, Felix
  • Backes, Amanda Ratier
  • Okello, Joseph
  • Urban, Josef
  • Plichta, Roman
  • Svátek, Martin
  • Phartyal, Shyam S
  • Wipf, Sonja
  • Eisenhauer, Nico
  • Pușcaș, Mihai
  • Dan Turtureanu, Pavel
  • Varlagin, Andrej
  • Dimarco, Romina D
  • Jump, Alistair S
  • Randall, Krystal
  • Dorrepaal, Ellen
  • Larson, Keith
  • Walz, Josefine
  • Vitale, Luca
  • Svoboda, Miroslav
  • Finger Higgens, Rebecca
  • Halbritter, Aud H
  • Curasi, Salvatore R
  • Klupar, Ian
  • Koontz, Austin
  • Pearse, William D
  • Simpson, Elizabeth
  • Stemkovski, Michael
  • Graae, Bente Jessen
  • Vedel Sørensen, Mia
  • Høye, Toke T
  • Fernández Calzado, M Rosa
  • Lorite, Juan
  • Carbognani, Michele
  • Tomaselli, Marcello
  • Forte, T'ai GW
  • Petraglia, Alessandro
  • Haesen, Stef
  • Somers, Ben
  • Van Meerbeek, Koenraad
  • Björkman, Mats P
  • Hylander, Kristoffer
  • Merinero, Sonia
  • Gharun, Mana
  • Buchmann, Nina
  • Dolezal, Jiri
  • Matula, Radim
  • Thomas, Andrew D
  • Bailey, Joseph J
  • Ghosn, Dany
  • Kazakis, George
  • de Pablo, Miguel Angel
  • Kemppinen, Julia
  • Niittynen, Pekka
  • Rew, Lisa
  • Seipel, Tim
  • Larson, Christian
  • Speed, James DM
  • Ardö, Jonas
  • Cannone, Nicoletta
  • Guglielmin, Mauro
  • Malfasi, Francesco
  • Bader, Maaike Y
  • Canessa, Rafaella
  • Stanisci, Angela
  • Kreyling, Juergen
  • Schmeddes, Jonas
  • Teuber, Laurenz
  • Aschero, Valeria
  • Čiliak, Marek
  • Máliš, František
  • De Smedt, Pallieter
  • Govaert, Sanne
  • Meeussen, Camille
  • Vangansbeke, Pieter
  • Gigauri, Khatuna
  • Lamprecht, Andrea
  • Pauli, Harald
  • Steinbauer, Klaus
  • Winkler, Manuela
  • Ueyama, Masahito
  • Nuñez, Martin A
  • Ursu, Tudor-Mihai
  • Haider, Sylvia
  • Wedegärtner, Ronja EM
  • Smiljanic, Marko
  • Trouillier, Mario
  • Wilmking, Martin
  • Altman, Jan
  • Brůna, Josef
  • Hederová, Lucia
  • Macek, Martin
  • Man, Matěj
  • Wild, Jan
  • Vittoz, Pascal
  • Pärtel, Meelis
  • Barančok, Peter
  • Kanka, Róbert
  • Kollár, Jozef
  • Palaj, Andrej
  • Barros, Agustina
  • Mazzolari, Ana Clara
  • Bauters, Marijn
  • Boeckx, Pascal
  • Benito Alonso, José Luis
  • Zong, Shengwei
  • Di Cecco, Valter
  • Sitková, Zuzana
  • Tielbörger, Katja
  • van den Brink, Liesbeth
  • Weigel, Robert
  • Homeier, Jürgen
  • Dahlberg, C Johan
  • Medinets, Sergiy
  • Medinets, Volodymyr
  • De Boeck, Hans J
  • Portillo-Estrada, Miguel
  • Verryckt, Lore T
  • Milbau, Ann
  • Daskalova, Gergana N
  • Thomas, Haydn JD
  • Myers-Smith, Isla H
  • Blonder, Benjamin
  • Stephan, Jörg G
  • Descombes, Patrice
  • Zellweger, Florian
  • Frei, Esther R
  • Heinesch, Bernard
  • Andrews, Christopher
  • Dick, Jan
  • Siebicke, Lukas
  • Rocha, Adrian
  • Senior, Rebecca A
  • Rixen, Christian
  • Jimenez, Juan J
  • Boike, Julia
  • Pauchard, Aníbal
  • Scholten, Thomas
  • Scheffers, Brett
  • Klinges, David
  • Basham, Edmund W
  • Zhang, Jian
  • Zhang, Zhaochen
  • Géron, Charly
  • Fazlioglu, Fatih
  • Candan, Onur
  • Sallo Bravo, Jhonatan
  • Hrbacek, Filip
  • Laska, Kamil
  • Cremonese, Edoardo
  • Haase, Peter
  • Moyano, Fernando E
  • Rossi, Christian
  • Nijs, Ivan
  • et al.

Published Web Location

https://doi.org/10.1111/gcb.15123
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 7538 temperature sensors from 51 countries across all key biomes. The database will pave the way towards 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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