SoilTemp: A global database of near-surface temperature

Investor logo

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

LEMBRECHTS Jonas J. AALTO Juha ASHCROFT Michael B. DE FRENNE Pieter KOPECKY Martin LENOIR Jonathan LUOTO Miska MACLEAN Ilya M. D. ROUPSARD Olivier FUENTES-LILLO Eduardo GARCIA Rafael A. PELLISSIER Loic PITTELOUD Camille ALATALO Juha M. SMITH Stuart W. BJORK Robert G. MUFFLER Lena BACKES Amanda Ratier CESARZ Simone GOTTSCHALL Felix OKELLO Joseph URBAN Josef PLICHTA Roman SVATEK Martin PHARTYAL Shyam S. WIPF Sonja EISENHAUER Nico PUSCAS Mihai TURTUREANU Pavel D. VARLAGIN Andrej DIMARCO Romina D. JUMP Alistair S. RANDALL Krystal DORREPAAL Ellen LARSON Keith WALZ Josefine VITALE Luca SVOBODA Miroslav HIGGENS Rebecca Finger HALBRITTER H. CURASI Salvatore R. KLUPAR Ian KOONTZ Austin PEARSE William D. SIMPSON Elizabeth STEMKOVSKI Michael GRAAE Bente Jessen SORENSEN Mia Vedel HOYE Toke T. FERNANDEZ CALZADO M. Rosa LORITE Juan CARBOGNANI Michele TOMASELLI Marcello FORTE T'ai G. W. PETRAGLIA Alessandro HAESEN Stef SOMERS Ben VAN MEERBEEK Koenraad BJORKMAN 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. ARDO Jonas CANNONE Nicoletta GUGLIELMIN Mauro MALFASI Francesco BADER Maaike Y. CANESSA Rafaella STANISCI Angela KREYLING Juergen SCHMEDDES Jonas TEUBER Laurenz ASCHERO Valeria CILIAK Marek MALIS Frantisek DE SMEDT Pallieter GOVAERT Sanne MEEUSSEN Camille VANGANSBEKE Pieter GIGAURI Khatuna LAMPRECHT Andrea PAULI Harald STEINBAUER Klaus WINKLER Manuela UEYAMA Masahito NUNEZ Martin A. URSU Tudor-Mihai HAIDER Sylvia WEDEGARTNER Ronja E. M. SMILJANIC Marko TROUILLIER Mario WILMKING Martin ALTMAN Jan BRUNA Josef HEDEROVA Lucia MACEK Martin MAN Matej WILD Jan VITTOZ Pascal PARTEL Meelis BARANCOK Peter KANKA Robert KOLLAR Jozef PALAJ Andrej BARROS Agustina MAZZOLARI Ana C. BAUTERS Marijn BOECKX Pascal BENITO ALONSO Jose-Luis ZONG Shengwei DI CECCO Valter SITKOVA Zuzana TIELBORGER Katja VAN DEN BRINK Liesbeth WEIGEL Robert HOMEIER Juergen 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 Jorg 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 Anibal SCHOLTEN Thomas SCHEFFERS Brett KLINGES David BASHAM Edmund W. ZHANG Jian ZHANG Zhaochen GERON Charly FAZLIOGLU Fatih CANDAN Onur SALLO BRAVO Jhonatan HRBÁČEK Filip LÁSKA Kamil CREMONESE Edoardo HAASE Peter MOYANO Fernando E. ROSSI Christian NIJS Ivan

Year of publication 2020
Type Article in Periodical
Magazine / Source Global Change Biology
MU Faculty or unit

Faculty of Science

Citation
Web https://doi.org/10.1111/gcb.15123
Doi http://dx.doi.org/10.1111/gcb.15123
Keywords climate change; database; ecosystem processes; microclimate; soil climate; species distributions; temperature; topoclimate
Description 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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.