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SoilTemp: A global database of near-surface temperature.

Jonas J LembrechtsJuha AaltoMichael B AshcroftPieter De FrenneMartin KopeckýJonathan LenoirMiska LuotoIlya M D MacleanOlivier RoupsardEduardo Fuentes-LilloRafael A GarcíaLoïc PellissierCamille PitteloudJuha M AlataloStuart W SmithRobert G BjörkLena MufflerAmanda Ratier BackesSimone CesarzFelix GottschallJoseph OkelloJosef UrbanRoman PlichtaMartin SvátekShyam S PhartyalSonja WipfHéctor J AguadoMihai PușcașPavel Dan TurtureanuAndrej VarlaginRomina D DimarcoAlistair S JumpKrystal L RandallEllen DorrepaalKeith LarsonJosefine WalzLuca VitaleMiroslav SvobodaRebecca Finger HiggensAud H HalbritterSalvatore R CurasiIan KluparAustin C KoontzWilliam D PearseElizabeth SimpsonMichael StemkovskiBente Jessen GraaeMia Vedel SørensenToke T Thomas HøyeM Rosa Fernández CalzadoJuan LoriteMichele CarbognaniMarcello TomaselliT'ai G W ForteAlessandro PetragliaStef HaesenBen SomersKoenraad Van MeerbeekMats P BjörkmanKristoffer HylanderSonia MerineroMana GharunNina BuchmannJiří DoležalRadim MatulaAndrew D ThomasJoseph J BaileyDany GhosnGeorge KazakisMiguel Angel de PabloJulia KemppinenPekka NiittynenLisa J RewTim SeipelChristian LarsonJames D M SpeedJonas ArdöNicoletta CannoneMauro GuglielminFrancesco MalfasiMaaike Y BaderRafaella CanessaAngela StanisciJuergen KreylingJonas SchmeddesLaurenz TeuberValeria AscheroMarek ČiliakFrantišek MálišPallieter De SmedtSanne GovaertCamille MeeussenPieter VangansbekeKhatuna GigauriAndrea LamprechtHarald PauliKlaus SteinbauerManuela WinklerMasahito UeyamaMartin A NuñezTudor-Mihai UrsuSylvia HaiderRonja E M WedegärtnerMarko SmiljanicMario TrouillierMartin WilmkingJan AltmanJosef BrůnaLucia HederováMartin MacekMatěj ManJan WildPascal VittozMeelis PärtelPeter BarančokRóbert KankaJozef KollárAndrej PalajAgustina BarrosAna C MazzolariMarijn BautersPascal BoeckxJosé-Luis Benito-AlonsoShengwei ZongValter Di CeccoZuzana SitkováKatja TielbörgerLiesbeth van den BrinkRobert WeigelJürgen HomeierC Johan DahlbergSergiy MedinetsVolodymyr MedinetsHans J De BoeckMiguel Portillo-EstradaLore T VerrycktAnn MilbauGergana N DaskalovaHaydn J D ThomasIsla H Myers-SmithBenjamin BlonderJörg G StephanPatrice DescombesFlorian ZellwegerEsther R FreiBernard HeineschChristopher AndrewsJan DickLukas SiebickeAdrian RochaRebecca A SeniorChristian RixenJuan J JimenezJulia BoikeAníbal PauchardThomas ScholtenBrett R ScheffersDavid KlingesEdmund W BashamZhiheng WangZhaochen ZhangCharly GéronFatih FazliogluOnur CandanJhonatan Sallo-BravoFilip HrbacekKamil LaskaEdoardo CremonesePeter HaaseFernando E MoyanoChristian RossiIvan Nijs
Published in: Global change biology (2020)
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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