SoilTemp: A global database of near‐surface temperature. (24th June 2020)

• Record Type: Journal Article
• Authors: Lembrechts, Jonas J.; Aalto, Juha; Ashcroft, Michael B.; De Frenne, Pieter; Kopecký, Martin; Lenoir, Jonathan; Luoto, Miska; Maclean, Ilya M. D.; Roupsard, Olivier; Fuentes‐Lillo, Eduardo; García, Rafael A.; Pellissier, Loïc; Pitteloud, Camille; Alatalo, Juha M.; Smith, Stuart W.; Björk, Robert G.; Muffler, Lena; Ratier Backes, Amanda; Cesarz, Simone; Gottschall, Felix; Okello, Joseph; Urban, Josef; Plichta, Roman; Svátek, Martin; Phartyal, Shyam S.; Wipf, Sonja; Eisenhauer, Nico; Pușcaș, Mihai; Turtureanu, Pavel D.; 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; Jessen Graae, Bente; Vedel Sørensen, Mia; Høye, Toke T.; Fernández Calzado, M. Rosa; Lorite, Juan; Carbognani, Michele; Tomaselli, Marcello; Forte, T'ai G. W.; 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 A.; Kemppinen, Julia; Niittynen, Pekka; Rew, Lisa; Seipel, Tim; Larson, Christian; Speed, James D. M.; 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 E. M.; 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 C.; 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 J. D.; 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;
• Is Part Of: Global change biology. Volume 26:Number 11(2020)
• Page Start: 6616
• Page End: 6629
• Publication Date: 2020-06-24
• Subjects: climate change -- database -- ecosystem processes -- microclimate -- soil climate -- species distributions -- temperature -- topoclimate; Climatic changes -- Environmental aspects -- Periodicals; Troposphere -- Environmental aspects -- Periodicals; Biodiversity conservation -- Periodicals; Eutrophication -- Periodicals; 551.5
• DOI: 10.1111/gcb.15123
• Languages: English
• ISSNs: 1354-1013

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. Abstract : We launch a call for submission of microclimate time series to the SoilTemp‐database, a database aimed at creating global soil‐ and near‐surface temperature and climate products for use in ecology. We especially welcome submissions from regions (a) or climate zones (b) currently underrepresented in the database. See also the Commentary on this article by Pincebourde and Salle, 26, 6025–6027 .