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2. Joint optimization of land carbon uptake and albedo can help achieve moderate instantaneous and long-term cooling effects

Author

Graf, Alexander, Wohlfahrt, Georg, Aranda-Barranco, Sergio, Arriga, Nicola, Brümmer, Christian, Ceschia, Eric, Ciais, Philippe, Desai, Ankur R., Di Lonardo, Sara, Gharun, Mana, Grünwald, Thomas, Hörtnagl, Lukas, Kasak, Kuno, Klosterhalfen, Anne, Knohl, Alexander, Kowalska, Natalia, Leuchner, Michael, Lindroth, Anders, Mauder, Matthias, Migliavacca, Mirco, Morel, Alexandra C., Pfennig, Andreas, Poorter, Hendrik, Terán, Christian Poppe, Reitz, Oliver, Rebmann, Corinna, Sanchez-Azofeifa, Arturo, Schmidt, Marius, Šigut, Ladislav, Tomelleri, Enrico, Yu, Ke, Varlagin, Andrej, and Vereecken, Harry

Published
2023
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4. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown

Author

Tang, Angela Che Ing, Flechard, Christophe R., Arriga, Nicola, Papale, Dario, Stoy, Paul C., Buchmann, Nina, Cuntz, Matthias, Douros, John, Fares, Silvano, Knohl, Alexander, Šigut, Ladislav, Simioni, Guillaume, Timmermans, Renske, Grünwald, Thomas, Ibrom, Andreas, Loubet, Benjamin, Mammarella, Ivan, Belelli Marchesini, Luca, Nilsson, Mats, Peichl, Matthias, Rebmann, Corinna, Schmidt, Marius, Bernhofer, Christian, Berveiller, Daniel, Cremonese, Edoardo, El-Madany, Tarek S., Gharun, Mana, Gianelle, Damiano, Hörtnagl, Lukas, Roland, Marilyn, Varlagin, Andrej, Fu, Zheng, Heinesch, Bernard, Janssens, Ivan, Kowalska, Natalia, Dušek, Jiří, Gerosa, Giacomo, Mölder, Meelis, Tuittila, Eeva-Stiina, and Loustau, Denis

Published
2023
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6. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K, Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D, Bohrer, Gil, Boike, Julia, Bolstad, Paul V, Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R, Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P, Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R, Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D, Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S, D'Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J, De Cinti, Bruno, de Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C, Delpierre, Nicolas, Desai, Ankur R, Di Bella, Carlos Marcelo, di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M, Eugster, Werner, Ewenz, Cacilia M, Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, and Gharun, Mana

Abstract

The following authors were omitted from the original version of this Data Descriptor: Markus Reichstein and Nicolas Vuichard. Both contributed to the code development and N. Vuichard contributed to the processing of the ERA-Interim data downscaling. Furthermore, the contribution of the co-author Frank Tiedemann was re-evaluated relative to the colleague Corinna Rebmann, both working at the same sites, and based on this re-evaluation a substitution in the co-author list is implemented (with Rebmann replacing Tiedemann). Finally, two affiliations were listed incorrectly and are corrected here (entries 190 and 193). The author list and affiliations have been amended to address these omissions in both the HTML and PDF versions.

Published
2021

7. SoilTemp: A global database of near‐surface temperature

Author

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, Backes, Amanda Ratier, 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, Higgens, Rebecca Finger, Halbritter, Aud H, Curasi, Salvatore R, Klupar, Ian, Koontz, Austin, Pearse, William D, Simpson, Elizabeth, Stemkovski, Michael, Graae, Bente Jessen, Sørensen, Mia Vedel, Høye, Toke T, Calzado, M Rosa Fernández, 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, Pablo, Miguel A, 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, and Nuñez, Martin A

Subjects
Climate Action, Climate Change, Ecosystem, Microclimate, Snow, Temperature, climate change, database, ecosystem processes, microclimate, soil climate, species distributions, temperature, topoclimate, Environmental Sciences, Biological Sciences, Ecology
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.

Published
2020

8. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Reichstein, Markus, Ribeca, Alessio, van Ingen, Catharine, Vuichard, Nicolas, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K, Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D, Bohrer, Gil, Boike, Julia, Bolstad, Paul V, Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R, Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P, Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R, Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D, Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S, D'Andrea, Ettore, da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J, Cinti, Bruno De, Grandcourt, Agnes de, Ligne, Anne De, De Oliveira, Raimundo C, Delpierre, Nicolas, Desai, Ankur R, Di Bella, Carlos Marcelo, Tommasi, Paul di, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M, Eugster, Werner, Ewenz, Cacilia M, Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, and Gharun, Mana

Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

Published
2020

13. Altered energy partitioning across terrestrial ecosystems in the European drought year 2018

Author

Graf, Alexander, Klosterhalfen, Anne, Arriga, Nicola, Bernhofer, Christian, Bogena, Heye, Bornet, Frédéric, Brüggemann, Nicolas, Brümmer, Christian, Buchmann, Nina, Chi, Jinshu, Chipeaux, Christophe, Cremonese, Edoardo, Cuntz, Matthias, Dušek, Jiří, El-Madany, Tarek S., Fares, Silvano, Fischer, Milan, Foltýnová, Lenka, Gharun, Mana, Ghiasi, Shiva, Gielen, Bert, Gottschalk, Pia, Grünwald, Thomas, Heinemann, Günther, Heinesch, Bernard, Heliasz, Michal, Holst, Jutta, Hörtnagl, Lukas, Ibrom, Andreas, Ingwersen, Joachim, Jurasinski, Gerald, Klatt, Janina, Knohl, Alexander, Koebsch, Franziska, Konopka, Jan, Korkiakoski, Mika, Kowalska, Natalia, Kremer, Pascal, Kruijt, Bart, Lafont, Sebastien, Léonard, Joël, De Ligne, Anne, Longdoz, Bernard, Loustau, Denis, Magliulo, Vincenzo, Mammarella, Ivan, Manca, Giovanni, Mauder, Matthias, Migliavacca, Mirco, Mölder, Meelis, Neirynck, Johan, Ney, Patrizia, Nilsson, Mats, Paul-Limoges, Eugénie, Peichl, Matthias, Pitacco, Andrea, Poyda, Arne, Rebmann, Corinna, Roland, Marilyn, Sachs, Torsten, Schmidt, Marius, Schrader, Frederik, Siebicke, Lukas, Šigut, Ladislav, Tuittila, Eeva-Stiina, Varlagin, Andrej, Vendrame, Nadia, Vincke, Caroline, Völksch, Ingo, Weber, Stephan, Wille, Christian, Wizemann, Hans-Dieter, Zeeman, Matthias, and Vereecken, Harry

Published
2020

14. Sensitivity of gross primary productivity to climatic drivers during the summer drought of 2018 in Europe

Author

Fu, Zheng, Ciais, Philippe, Bastos, Ana, Stoy, Paul C., Yang, Hui, Green, Julia K., Wang, Bingxue, Yu, Kailiang, Huang, Yuanyuan, Knohl, Alexander, Šigut, Ladislav, Gharun, Mana, Cuntz, Matthias, Arriga, Nicola, Roland, Marilyn, Peichl, Matthias, Migliavacca, Mirco, Cremonese, Edoardo, Varlagin, Andrej, Brümmer, Christian, de la Motte, Louis Gourlez, Fares, Silvano, Buchmann, Nina, El-Madany, Tarek S., Pitacco, Andrea, Vendrame, Nadia, Li, Zhaolei, Vincke, Caroline, Magliulo, Enzo, and Koebsch, Franziska

Published
2020

16. Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands

Author

Zhou, Huimin, Shao, Junjiong, Liu, Huiying, Du, Zhenggang, Zhou, Lingyan, Liu, Ruiqiang, Bernhofer, Christian, Grünwald, Thomas, Dušek, Jiří, Montagnani, Leonardo, Tagesson, Torbern, Black, Thomas Andrew, Jassal, Rachhpal, Woodgate, William, Biraud, Sébastien, Varlagin, Andrej, Mammarella, Ivan, Gharun, Mana, Shekhar, Ankit, Buchmann, Nina, Manco, Antonio, Magliulo, Enzo, Billesbach, Dave, Silberstein, Richard P., Ohta, Takeshi, Yu, Guirui, Chen, Zhi, Zhang, Yiping, and Zhou, Xuhui

Published
2021
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18. Compound soil and atmospheric drought (CSAD) events and CO2 fluxes of a mixed deciduous forest: the occurrence, impact, and temporal contribution of main drivers.

Author

Scapucci, Liliana, Shekhar, Ankit, Aranda-Barranco, Sergio, Bolshakova, Anastasiia, Hörtnagl, Lukas, Gharun, Mana, and Buchmann, Nina

Subjects
MOUNTAIN forests, SOIL moisture, DECIDUOUS forests, MIXED forests, SOIL temperature
Abstract

With global warming, forests are increasingly exposed to "compound soil and atmospheric drought" (CSAD) events, characterized by low soil water content (SWC) and high vapour pressure deficit (VPD). Such CSAD events trigger responses in both ecosystem and forest-floor CO2 fluxes, which we know little about. In this study, we used multi-year daily and daytime above-canopy (18 years; 2005–2022) and daily forest-floor (5 years; 2018–2022) eddy covariance CO2 fluxes from a Swiss forest site by the name of CH-Lae (a mixed deciduous montane forest). The objectives were (1) to characterize CSAD events at CH-Lae, (2) to quantify the impact of CSAD events on ecosystem and forest-floor CO2 fluxes, and (3) to identify the major drivers and their temporal contributions to changing ecosystem and forest-floor CO2 fluxes during CSAD events and CSAD growing seasons. Our results showed that the growing seasons of 2015, 2018, and 2022 were the three driest at CH-Lae since 2005 (referred to as the CSAD years), exhibiting similar intensity and duration of the CSAD events but considerably different pre-drought conditions. The CSAD events reduced daily mean net ecosystem productivity (NEP) in all 3 CSAD years by about 38 % compared to the long-term mean, with the highest reduction observed during 2022 (41 %). This reduction in daily mean NEP was largely due to decreased gross primary productivity (GPP; > 16 % below the long-term mean) rather than increased ecosystem respiration (Reco) during CSAD events. Furthermore, forest-floor respiration (Rff) decreased during the CSAD events in 2018 and 2022 (with no measurements in 2015), with a larger reduction in 2022 (41 %) than in 2018 (16 %), relative to the long-term mean (2019–2021). Using data-driven machine learning methods, we identified the major drivers of NEP and Rff during CSAD events. While daytime mean NEP (NEPDT) during the 2015 and 2018 CSAD events was limited by VPD and SWC, respectively, NEPDT during the 2022 CSAD event was strongly limited by both SWC and VPD. Air temperature had negative effects, while net radiation showed positive effects on NEPDT during all CSAD events. Daily mean Rff during the 2018 CSAD event was driven by soil temperature and SWC but was severely limited by SWC during the 2022 CSAD event. We found that a multi-layer analysis of CO2 fluxes in forests is necessary to better understand forest responses to CSAD events, particularly if the first signs of NEP acclimation to CSAD events – evident in our forest – are also found elsewhere. We conclude that CSAD events have multiple drivers with different temporal contributions, making predictions about site-specific CSAD events and long-term forest responses to such conditions more challenging. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Assessing the Volatility of Daily Maximum Temperature across Germany between 1990 and 2022.

Author

Jordan, Elisa, Shekhar, Ankit, and Gharun, Mana

Subjects
CLIMATE change, ATMOSPHERIC temperature, CLIMATE extremes, LAND surface temperature, CLIMATE change mitigation, CLIMATE change & health
Abstract

Climate change causes a global rise in mean air temperature and an increased frequency of temperature extremes. Recent studies link sharp temperature changes between consecutive days to increased mortality, reduced economic growth, and negative effects on ecosystems. This study assesses the variability of the daily maximum air temperature between two consecutive days (i.e., temperature volatility) across Germany from 1990 to 2022. Using observation-based raster data of maximum daily temperature at 0.1° × 0.1° spatial resolution, we assess temperature volatility regarding: (1) magnitude, (2) seasonality, (3) directionality (day-to-day warming vs. cooling), and (4) trends. Further, we analyse land cover changes during the period and examine their correlation to extreme temperature volatility (Tve). The results show that Tve mostly occurred during spring and summer. The magnitude of Tve increased with distance to the coast north-west to south during all seasons and was highest during spring and summer (>10 °C). Overall, Tve was particularly associated with day-to-day cooling (in spring, summer, autumn), while in winter, >60% of days were associated with warming in north and central Germany. Less than 12% of Germany showed significant trends in median Tve associated with warming over the period. Significant trends included increases (>0.26 °C/year) and decreases (−0.09 °C/year) in extreme day-to-day warming during autumn and winter in northeastern Germany. In spring, the majority (>60%) of southern areas showed significant positive trends (up to 0.16 °C/year) in Tve associated with day-to-day cooling. During winter, summer, and autumn, trends in extreme day-to-day cooling were insignificant in over 80% of Germany. Within all land cover types, Tve predominantly varied between 6 °C and 9 °C. Changes in land cover, especially transforming coniferous forests for agricultural purposes, were accompanied by increasing Tve up to 0.49 °C. Understanding rapid temperature changes is crucial for climate change mitigation strategies and limiting the impacts on human health and on the environment. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Divergent responses of evergreen needle-leaf forests in Europe to the 2020 warm winter

Author

Gharun, Mana, primary, Shekhar, Ankit, additional, Hörtnagl, Lukas, additional, Krebs, Luana, additional, Arriga, Nicola, additional, Migliavacca, Mirco, additional, Roland, Marilyn, additional, Gielen, Bert, additional, Montagnani, Leonardo, additional, Tomelleri, Enrico, additional, Šigut, Ladislav, additional, Peichl, Matthias, additional, Zhao, Peng, additional, Schmidt, Marius, additional, Grünwald, Thomas, additional, Korkiakoski, Mika, additional, Lohila, Annalea, additional, and Buchmann, Nina, additional

Published
2024
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22. Supplementary material to "Divergent responses of evergreen needle-leaf forests in Europe to the 2020 warm winter"

Author

Gharun, Mana, primary, Shekhar, Ankit, additional, Hörtnagl, Lukas, additional, Krebs, Luana, additional, Arriga, Nicola, additional, Migliavacca, Mirco, additional, Roland, Marilyn, additional, Gielen, Bert, additional, Montagnani, Leonardo, additional, Tomelleri, Enrico, additional, Šigut, Ladislav, additional, Peichl, Matthias, additional, Zhao, Peng, additional, Schmidt, Marius, additional, Grünwald, Thomas, additional, Korkiakoski, Mika, additional, Lohila, Annalea, additional, and Buchmann, Nina, additional

Published
2024
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23. Forest-floor respiration, N2O fluxes, and CH4 fluxes in a subalpine spruce forest: drivers and annual budgets.

Author

Krebs, Luana, Burri, Susanne, Feigenwinter, Iris, Gharun, Mana, Meier, Philip, and Buchmann, Nina

Subjects
BUDGET, SNOW cover, LEAF area index, CARBON emissions, RESPIRATION, SNOW accumulation, NORWAY spruce, PINACEAE
Abstract

Forest ecosystems play an important role in the global carbon (C) budget by sequestering a large fraction of anthropogenic carbon dioxide (CO 2) emissions and by acting as important methane (CH 4) sinks. The forest-floor greenhouse gas (GHG; CO 2 , CH 4 , and nitrous oxide (N 2 O)) flux, i.e., from soil and understory vegetation, is one of the major components to consider when determining the C or GHG budget of forests. Although winter fluxes are essential to determine the annual C budget, only very few studies have examined long-term, year-round forest-floor GHG fluxes. Thus, we aimed to (i) quantify seasonal and annual variations of forest-floor GHG fluxes; (ii) evaluate their drivers, including the effects of snow cover, timing, and amount of snowmelt; and (iii) calculate annual budgets of forest-floor GHG fluxes for a subalpine spruce forest in Switzerland. We measured GHG fluxes year-round during 4 years with four automatic large chambers at the ICOS Class 1 Ecosystem station Davos (CH-Dav). We applied random forest models to investigate environmental drivers and to gap-fill the flux time series. The forest floor emitted 2336 g CO 2 m -2 yr -1 (average over 4 years). Annual and seasonal forest-floor respiration responded most strongly to soil temperature and snow depth. No response of forest-floor respiration to leaf area index or photosynthetic photon flux density was observed, suggesting a strong direct control of soil environmental factors and a weak, or even lacking, indirect control of canopy biology. Furthermore, the forest floor was a consistent CH 4 sink (- 0.71 g CH 4 m -2 yr -1), with annual fluxes driven mainly by snow depth. Winter CO 2 fluxes were less important for the CO 2 budget (6.0 %–7.3 %), while winter CH 4 fluxes contributed substantially to the annual CH 4 budget (14.4 %–18.4 %). N 2 O fluxes were very low (0.007 g N 2 O m -2 yr -1), negligible for the forest-floor GHG budget at our site. In 2022, the warmest year on record with below-average precipitation at the Davos site, we observed a substantial increase in forest-floor respiration compared with other years. The mean forest-floor GHG budget indicated emissions of 2319 ± 200 g CO2eq. m -2 yr -1 (mean ± standard deviation (SD) over all years), with respiration fluxes dominating and CH 4 offsetting a very small proportion (0.8 %) of the CO 2 emissions. Due to the relevance of snow cover, we recommend year-round measurements of GHG fluxes with high temporal resolution. In a future with increasing temperatures and less snow cover due to climate change, we expect increased forest-floor respiration at this subalpine site modulating the carbon sink of the forest ecosystem. [ABSTRACT FROM AUTHOR]

Published
2024
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29. Compound soil and atmospheric drought events and CO2 fluxes of a mixed deciduous forest: Occurrence, impact, and temporal contribution of main drivers.

Author

Scapucci, Liliana, Shekhar, Ankit, Aranda-Barranco, Sergio, Bolshakova, Anastasiia, Hörtnagl, Lukas, Gharun, Mana, and Buchmann, Nina

Subjects
DECIDUOUS forests, MIXED forests, SOIL moisture, VAPOR pressure, ACCLIMATIZATION, ATMOSPHERIC temperature, DROUGHTS, TUNDRAS
Abstract

With global warming, forests are facing an increased exposure to compound soil and atmospheric drought (CSAD) events, characterized by low soil water content (SWC) and high vapor pressure deficit (VPD). Such CSAD events trigger responses in both ecosystem and forest floor CO2 fluxes, of which we know little about. In this study, we used multi-year daily and daytime above canopy (18 years; 2005–2022) and daily forest floor (five years; 2018–2022) eddy-covariance CO2 fluxes of a Swiss forest site (montane mixed deciduous forest; CH-Lae). The objectives were (1) to characterize CSAD events at CH-Lae; (2) to quantify the impact of CSAD events on ecosystem and forest floor daily CO2 fluxes; and (3) to identify the major drivers and their temporal contributions to changing ecosystem and forest floor CO2 fluxes during CSAD events and CSAD growing seasons. Our results showed that the growing seasons of 2015, 2018, and 2022, were the top three driest (referred as CSAD years) at CH-Lae since 2005, with similar intensity and duration of the respective CSAD events, but considerably different pre-drought conditions. The CSAD events reduced daily mean net ecosystem productivity (NEP) in all three CSAD years, with highest reduction during 2022 (30 % decrease). This reduction in daily mean NEP was largely due to decreased gross primary productivity (GPP; >15 % decrease) rather than increased ecosystem respiration (Reco) during CSAD events. Furthermore, forest floor respiration (Rff) decreased during the CSAD events in 2018 and 2022 (no measurements in 2015), with a larger reduction in 2022 (>40 %) than in 2018 (<25 %) compared to the long-term mean (2019–2021). Using data-driven machine learning methods, we identified the major drivers of NEP and Rff during CSAD events. While daytime mean NEP during 2015 and 2018 CSAD events was limited by VPD or SWC, respectively, daytime mean NEP during the 2022 CSAD event was strongly limited by both SWC and VPD. Air temperature always had always negative effects, net radiation positive effects on daytime mean NEP during all CSAD events. Daily mean Rff during the 2018 CSAD event was driven by soil temperature and SWC, but severely limited by SWC during the 2022 CSAD event. We found that a multi-layer analysis of CO2 fluxes in forests is necessary to better understand forest responses to CSAD events, particularly if the first signs we saw of acclimation to such CSAD events for our forest are found elsewhere as well. We conclude that such events have multiple drivers with different temporal contributions, making prediction of site-specific CSADs and forest long-term responses to such conditions more challenging. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Effect of the 2022 summer drought across forest types in Europe.

Author

Gharun, Mana, Shekhar, Ankit, Xiao, Jingfeng, Li, Xing, and Buchmann, Nina

Subjects
MODIS (Spectroradiometer), DROUGHTS, CLIMATE extremes, FOREST canopies, FOREST resilience, DECIDUOUS forests
Abstract

Forests in Europe experienced record-breaking dry conditions during the 2022 summer. The direction in which various forest types respond to climate extremes during their growing season is contingent upon an array of internal and external factors. These factors include the extent and severity of the extreme conditions and the tree ecophysiological characteristics adapted to environmental cues, which exhibit significant regional variations. In this study we aimed to: 1) quantify the extent and severity of the extreme soil and atmospheric dryness in 2022 in comparison to two most extreme years in the past (i.e., 2003, 2018), 2) quantify response of different forest types to atmospheric and soil drought in terms of canopy browning and photosynthesis, and 3) relate the functional characteristics of the forests to the emerging responses observed at the canopy level. For this purpose, we used the ERA5-Land spatial meteorological dataset between 1970 to 2022 to identify conditions with extreme soil and atmospheric dryness. We used the near-infrared reflectance of vegetation (NIRv) derived from the MOderate Resolution Imaging Spectroradiometer (MODIS), and the OCO-2 solar induced fluorescence (SIF) as an observational proxy for photosynthesis based on the SIF data product, to quantify the response of forests at the canopy level. In summer 2022, particularly southern regions of Europe experienced the most pronounced atmospheric and soil dryness. As a result, the extremely dry conditions led to an average 30 % more widespread decline in SIF across forests compared to drought in 2018, and 60 % more widespread decline compared to drought in 2003. Although the atmospheric and soil drought were more extensive and severe (indicated by a larger observed max z-score) in 2018 compared to 2022, the negative impact on forests, indicated by declined SIF, was significantly larger in 2022. Across different forest types, the deciduous broad-leaved forests were most negatively affected by the extreme conditions in 2022, but Evergreen Needle-Leaf Forests (ENF) distributed in northern regions of Europe showed enhanced canopy greening and SIF signals as a benefit of warming. Higher degree of canopy damage in 2022 in spite of less extreme conditions compared to the previous extreme year points to a legacy effect on forest canopies, and a declined forest resilience in response to more frequent drought events. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Divergent responses of evergreen needle-leaf forests in Europe to the 2020 warm winter.

Author

Gharun, Mana, Shekhar, Ankit, Hörtnagl, Lukas, Krebs, Luana, Arriga, Nicola, Migliavacca, Mirco, Roland, Marilyn, Gielen, Bert, Montagnani, Leonardo, Tomelleri, Enrico, Šigut, Ladislav, Peichl, Matthias, Zhao, Peng, Schmidt, Marius, Grünwald, Thomas, Korkiakoski, Mika, Lohila, Annalea, and Buchmann, Nina

Subjects
SOIL heating, ATMOSPHERIC temperature, SOIL temperature, HEAT waves (Meteorology), WINTER, CLIMATE change, EVERGREENS, TUNDRAS
Abstract

Relative to drought and heat waves, the effect of winter warming on forest CO2 fluxes during the dormant season has less been investigated, despite its relevance for net CO2 uptake in colder regions with higher carbon content in soils. Our objective was to test the effect of the exceptionally warm winter in 2020 on the winter CO2 budget of cold-adapted evergreen needle-leaf forests across Europe, and identify the contribution of soil and air temperature to changes in winter CO2 fluxes in response to warming. Our hypothesis was that warming in winter leads to higher emissions across colder sites due to increased ecosystem respiration. To test this hypothesis, we used 98 site-year eddy covariance measurements across 14 evergreen needle-leaf forests (ENFs) distributed from north to south of Europe (from Sweden to Italy). We used a data-driven approach to quantify the effect of air and soil temperature on changes in net ecosystem productivity (NEP) during the warm winter of 2020. Our results showed that the impact of warming was different across sites, as in the lower altitude and lower latitude sites positive soil temperature anomalies were larger, while positive air temperature anomalies were larger in the northern latitude and high-altitude sites. Warming in winter led to a divergent response across the sites. Out of 14 sites only in 3 sites net ecosystem productivity declined in winter significantly in response to warming. In addition, we observed that in the colder sites daytime NEP (that is dominated by photosynthesis) declined with warming of the air in winter, whereas in the warmer sites daytime NEP increased with warming of the soil. This shows that warming of the air – if not translated into a direct warming of the soil– might not trigger productivity in winter if the soil within the rooting zone remains frozen. Forests within the same plant functional type category can exhibit differing reactions to winter warming and to predict their responses accurately it is crucial to account for variations in local climate, physiology, and structure simultaneously. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Divergent responses of evergreen needle-leaf forests 1 in Europe to the 2020 warm winter.

Author

Gharun, Mana, Shekhar, Ankit, Hörtnagl, Lukas, Krebs, Luana, Arriga, Nicola, Migliavacca, Mirco, Roland, Marilyn, Gielen, Bert, Montagnani, Leonardo, Tomelleri, Enrico, Šigut, Ladislav, Peichl, Matthias, Peng Zhao, Schmidt, Marius, Grünwald, Thomas, Korkiakoski, Mika, Lohila, Annalea, and Buchmann, Nina

Subjects
SOIL heating, WINTER, ATMOSPHERIC temperature, SOIL temperature, HEAT waves (Meteorology), CLIMATE change, TUNDRAS
Abstract

Relative to drought and heat waves, the effect of winter warming on forest CO2 fluxes during the dormant season has less been investigated, despite its relevance for net CO2 uptake in colder regions with higher carbon content in soils. Our objective was to test the effect of the exceptionally warm winter in 2020 on the winter CO2 budget of cold-adapted evergreen needleleaf forests across Europe, and identify the contribution of soil and air temperature to changes in winter CO2 fluxes in response to warming. Our hypothesis was that warming in winter leads to higher emissions across colder sites due to increased ecosystem respiration. To test this hypothesis, we used 98 site-year eddy covariance measurements across 14 evergreen needleleaf forests (ENFs) distributed from north to south of Europe (from Sweden to Italy). We used a data-driven approach to quantify the effect of air and soil temperature on changes in net ecosystem productivity (NEP) during the warm winter of 2020. Our results showed that the impact of warming was different across sites, as in the lower altitude and lower latitude sites positive soil temperature anomalies were larger, while positive air temperature anomalies were larger in the northern latitude and high-altitude sites. Warming in winter led to a divergent response across the sites. Out of 14 sites only in 3 sites net ecosystem productivity declined in winter significantly in response to warming. In addition, we observed that in the colder sites daytime NEP (that is dominated by photosynthesis) declined with warming of the air in winter, whereas in the warmer sites daytime NEP increased with warming of the soil. While warming increases ecosystem respiration, it might not trigger productivity in winter if the soil within the rooting zone remains frozen. Forests within the same plant functional type category can exhibit differing reactions to winter warming and to predict their responses accurately it is crucial to account for variations in local climate, physiology, and structure simultaneously. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Daytime stomatal regulation in mature temperate trees prioritizes stem rehydration at night

Author

Peters, Richard L., primary, Steppe, Kathy, additional, Pappas, Christoforos, additional, Zweifel, Roman, additional, Babst, Flurin, additional, Dietrich, Lars, additional, von Arx, Georg, additional, Poyatos, Rafael, additional, Fonti, Marina, additional, Fonti, Patrick, additional, Grossiord, Charlotte, additional, Gharun, Mana, additional, Buchmann, Nina, additional, Steger, David N., additional, and Kahmen, Ansgar, additional

Published
2023
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35. ForestClim—Bioclimatic variables for microclimate temperatures of European forests

Author

Haesen, Stef, primary, Lembrechts, Jonas J., additional, De Frenne, Pieter, additional, Lenoir, Jonathan, additional, Aalto, Juha, additional, Ashcroft, Michael B., additional, Kopecký, Martin, additional, Luoto, Miska, additional, Maclean, Ilya, additional, Nijs, Ivan, additional, Niittynen, Pekka, additional, van den Hoogen, Johan, additional, Arriga, Nicola, additional, Brůna, Josef, additional, Buchmann, Nina, additional, Čiliak, Marek, additional, Collalti, Alessio, additional, De Lombaerde, Emiel, additional, Descombes, Patrice, additional, Gharun, Mana, additional, Goded, Ignacio, additional, Govaert, Sanne, additional, Greiser, Caroline, additional, Grelle, Achim, additional, Gruening, Carsten, additional, Hederová, Lucia, additional, Hylander, Kristoffer, additional, Kreyling, Jürgen, additional, Kruijt, Bart, additional, Macek, Martin, additional, Máliš, František, additional, Man, Matěj, additional, Manca, Giovanni, additional, Matula, Radim, additional, Meeussen, Camille, additional, Merinero, Sonia, additional, Minerbi, Stefano, additional, Montagnani, Leonardo, additional, Muffler, Lena, additional, Ogaya, Romà, additional, Penuelas, Josep, additional, Plichta, Roman, additional, Portillo‐Estrada, Miguel, additional, Schmeddes, Jonas, additional, Shekhar, Ankit, additional, Spicher, Fabien, additional, Ujházyová, Mariana, additional, Vangansbeke, Pieter, additional, Weigel, Robert, additional, Wild, Jan, additional, Zellweger, Florian, additional, and Van Meerbeek, Koenraad, additional

Published
2023
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36. ForestClim : Bioclimatic variables for microclimate temperatures of European forests

Author

Haesen, Stef, Lembrechts, Jonas J., De Frenne, Pieter, Lenoir, Jonathan, Aalto, Juha, Ashcroft, Michael B., Kopecky, Martin, Luoto, Miska, Maclean, Ilya, Nijs, Ivan, Niittynen, Pekka, van den Hoogen, Johan, Arriga, Nicola, Bruna, Josef, Buchmann, Nina, Ciliak, Marek, Collalti, Alessio, De Lombaerde, Emiel, Descombes, Patrice, Gharun, Mana, Goded, Ignacio, Govaert, Sanne, Greiser, Caroline, Grelle, Achim, Gruening, Carsten, Hederova, Lucia, Hylander, Kristoffer, Kreyling, Juergen, Kruijt, Bart, Macek, Martin, Malis, Frantisek, Man, Matej, Manca, Giovanni, Matula, Radim, Meeussen, Camille, Merinero, Sonia, Minerbi, Stefano, Montagnani, Leonardo, Muffler, Lena, Ogaya, Roma, Penuelas, Josep, Plichta, Roman, Portillo-Estrada, Miguel, Schmeddes, Jonas, Shekhar, Ankit, Spicher, Fabien, Ujhazyova, Mariana, Vangansbeke, Pieter, Weigel, Robert, Wild, Jan, Zellweger, Florian, Van Meerbeek, Koenraad, Haesen, Stef, Lembrechts, Jonas J., De Frenne, Pieter, Lenoir, Jonathan, Aalto, Juha, Ashcroft, Michael B., Kopecky, Martin, Luoto, Miska, Maclean, Ilya, Nijs, Ivan, Niittynen, Pekka, van den Hoogen, Johan, Arriga, Nicola, Bruna, Josef, Buchmann, Nina, Ciliak, Marek, Collalti, Alessio, De Lombaerde, Emiel, Descombes, Patrice, Gharun, Mana, Goded, Ignacio, Govaert, Sanne, Greiser, Caroline, Grelle, Achim, Gruening, Carsten, Hederova, Lucia, Hylander, Kristoffer, Kreyling, Juergen, Kruijt, Bart, Macek, Martin, Malis, Frantisek, Man, Matej, Manca, Giovanni, Matula, Radim, Meeussen, Camille, Merinero, Sonia, Minerbi, Stefano, Montagnani, Leonardo, Muffler, Lena, Ogaya, Roma, Penuelas, Josep, Plichta, Roman, Portillo-Estrada, Miguel, Schmeddes, Jonas, Shekhar, Ankit, Spicher, Fabien, Ujhazyova, Mariana, Vangansbeke, Pieter, Weigel, Robert, Wild, Jan, Zellweger, Florian, and Van Meerbeek, Koenraad

Abstract

Microclimate research gained renewed interest over the last decade and its importance for many ecological processes is increasingly being recognized. Consequently, the call for high-resolution microclimatic temperature grids across broad spatial extents is becoming more pressing to improve ecological models. Here, we provide a new set of open-access bioclimatic variables for microclimate temperatures of European forests at 25 x 25 m2 resolution.

Published
2023
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39. The net ecosystem productivity penalty of high vapor pressure deficit at a subalpine coniferous forest in Switzerland

Author

Hörtnagl, Lukas, primary, Gharun, Mana, additional, Eugster, Werner, additional, Burri, Susanne, additional, Merbold, Lutz, additional, Shekhar, Ankit, additional, Meier, Philip, additional, Baur, Thomas, additional, Staudinger, Markus, additional, Etzold, Sophia, additional, Zweifel, Roman, additional, and Buchmann, Nina, additional

Published
2023
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41. Detection and Attribution of an Anomaly in Terrestrial Photosynthesis in Europe During the Covid-19 Lockdown

Author

Tang, Angela C. I., primary, Flechard, Christophe R., additional, Arriga, Nicola, additional, Papale, Dario, additional, Stoy, Paul. C., additional, Buchmann, Nina, additional, Cuntz, Matthias, additional, Douros, John, additional, Fares, Silvano, additional, Knohl, Alexander, additional, Šigut, Ladislav, additional, Simioni, Guillaume, additional, Timmermans, Renske, additional, Grünwald, Thomas, additional, Ibrom, Andreas, additional, Loubet, Benjamin, additional, Mammarella, Ivan, additional, Belelli Marchesini, Luca, additional, Nilsson, Mats B., additional, Peichl, Matthias, additional, Rebmann, Corinna, additional, Schmidt, Marius, additional, Bernhofer, Christian, additional, Berveiller, Daniel, additional, Cremonese, Edoardo, additional, El-Madany, Tarek S., additional, Gharun, Mana, additional, Gianelle, Damiano, additional, Hörtnagl, Lukas, additional, Roland, Marilyn, additional, Varlagin, Andrej, additional, Fu, Zheng, additional, Heinesch, Bernard, additional, Janssens, Ivan A., additional, Kowalska, Natalia, additional, Dušek, Jiří, additional, Gerosa, Giacomo, additional, Mölder, Meelis, additional, Tuittila, Eeva-Stiina, additional, and Loustau, Denis, additional

Published
2023
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45. Global maps of soil temperature

Author

Winkler, Manuela, Plichta, Roman, Buysse, Pauline, Lohila, Annalea, Spicher, Fabien, Boeckx, Pascal, Wild, Jan, Feigenwinter, Iris, Olejnik, Janusz, Risch, Anita, Khuroo, Anzar, Lynn, Joshua, di Cella, Umberto, Schmidt, Marius, Urbaniak, Marek, Marchesini, Luca, Govaert, Sanne, Uogintas, Domas, Assis, Rafael, Medinets, Volodymyr, Abdalaze, Otar, Varlagin, Andrej, Dolezal, Jiri, Myers, Jonathan, Randall, Krystal, Bauters, Marijn, Jimenez, Juan, Stoll, Stefan, Petraglia, Alessandro, Mazzolari, Ana, Ogaya, Romà, Tyystjärvi, Vilna, Hammerle, Albin, Wipf, Sonja, Lorite, Juan, Fanin, Nicolas, Benavides, Juan, Scholten, Thomas, Yu, Zicheng, Veen, G., Treier, Urs, Candan, Onur, Bell, Michael, Hörtnagl, Lukas, Siebicke, Lukas, Vives-Ingla, Maria, Eugster, Werner, Grelle, Achim, Stemkovski, Michael, Theurillat, Jean-Paul, Matula, Radim, Dorrepaal, Ellen, Steinbrecher, Rainer, Alatalo, Juha, Fenu, Giuseppe, Arzac, Alberto, Homeier, Jürgen, Porro, Francesco, Robinson, Sharon, Ghosn, Dany, Haugum, Siri, Ziemblińska, Klaudia, Camargo, José, Zhao, Peng, Niittynen, Pekka, Liljebladh, Bengt, Normand, Signe, Dias, Arildo, Larson, Christian, Peichl, Matthias, Collier, Laura, Myers-Smith, Isla, Zong, Shengwei, Kašpar, Vít, Cooper, Elisabeth, Haider, Sylvia, von Oppen, Jonathan, Cutini, Maurizio, Benito-Alonso, José-Luis, Luoto, Miska, Klemedtsson, Leif, Higgens, Rebecca, Zhang, Jian, Speed, James, Nijs, Ivan, Macek, Martin, Steinwandter, Michael, Poyatos, Rafael, Niedrist, Georg, Curasi, Salvatore, Yang, Yan, Dengler, Jürgen, Géron, Charly, de Pablo, Miguel, Xenakis, Georgios, Kreyling, Juergen, Forte, Tai, Bailey, Joseph, Knohl, Alexander, Goulding, Keith, Wilkinson, Matthew, Kljun, Natascha, Roupsard, Olivier, Stiegler, Christian, Verbruggen, Erik, Wingate, Lisa, Lamprecht, Andrea, Hamid, Maroof, Rossi, Graziano, Descombes, Patrice, Hrbacek, Filip, Bjornsdottir, Katrin, Poulenard, Jérôme, Meeussen, Camille, Guénard, Benoit, Venn, Susanna, Dimarco, Romina, Man, Matěj, Scharnweber, Tobias, Chown, Steven, Pio, Casimiro, Way, Robert, Erickson, Todd, Fernández-Pascual, Eduardo, Pușcaș, Mihai, Orsenigo, Simone, Di Musciano, Michele, Enquist, Brian, Newling, Emily, Tagesson, Torbern, Kemppinen, Julia, Serra-Diaz, Josep, Gottschall, Felix, Schuchardt, Max, Pitacco, Andrea, Jump, Alistair, Exton, Dan, Carnicer, Jofre, Aschero, Valeria, Urban, Anastasiya, Daskalova, Gergana, Santos, Cinthya, Goeckede, Mathias, Bruna, Josef, Andrews, Christopher, Jónsdóttir, Ingibjörg, Casanova-Katny, Angélica, Moriana-Armendariz, Mikel, Ewers, Robert, Pärtel, Meelis, Sagot, Clotilde, Herbst, Mathias, De Frenne, Pieter, Milbau, Ann, Gobin, Anne, Alexander, Jake, Kopecký, Martin, Buchmann, Nina, Kotowska, Martyna, Puchalka, Radoslaw, Penuelas, Josep, Gigauri, Khatuna, Prokushkin, Anatoly, Moiseev, Pavel, Jentsch, Anke, Klisz, Marcin, Barrio, Isabel, Ammann, Christof, Panov, Alexey, Van Geel, Maarten, Finckh, Manfred, Vaccari, Francesco, Erschbamer, Brigitta, Backes, Amanda, Robroek, Bjorn, Campoe, Otávio, Ahmadian, Negar, Boike, Julia, Thomas, Haydn, Pastor, Ada, Smith, Stuart, Pauli, Harald, Kollár, Jozef, de Cássia Guimarães Mesquita, Rita, Michaletz, Sean, Fuentes-Lillo, Eduardo, Urban, Josef, Greenwood, Sarah, Lens, Luc, Van de Vondel, Stijn, Vitale, Luca, Remmele, Sabine, Naujokaitis-Lewis, Ilona, Meusburger, Katrin, Cremonese, Edoardo, Barros, Agustina, Bokhorst, Stef, Svátek, Martin, Allonsius, Camille, Høye, Toke, Smiljanic, Marko, Hik, David, Canessa, Rafaella, van den Hoogen, Johan, Altman, Jan, Björkman, Mats, Cesarz, Simone, Blonder, Benjamin, Kazakis, George, Opedal, Øystein, Assmann, Jakob, Tanentzap, Andrew, Sidenko, Nikita, le Maire, Guerric, Ursu, Tudor-Mihai, Montagnani, Leonardo, Muffler, Lena, Hederová, Lucia, Rubtsov, Alexey, Pauchard, Aníbal, Tielbörger, Katja, Sørensen, Mia, Crowther, Thomas, Remmers, Wolfram, Pitteloud, Camille, Zyryanov, Viacheslav, Nilsson, Matts, Bazzichetto, Manuele, Sallo-Bravo, Jhonatan, Moiseev, Dmitry, Spasojevic, Marko, Haase, Peter, Pearse, William, Tutton, Rosamond, Fazlioglu, Fatih, Siqueira, David, Ardö, Jonas, Nardino, Marianna, Tomaselli, Marcello, Pavelka, Marian, García, Rafael, Nosetto, Marcelo, Bon, Matteo, Semenchuk, Philipp, Choler, Philippe, Scott, Tony, Halbritter, Aud, Dušek, Jiří, Mackenzie, Roy, Stanisci, Angela, Nouvellon, Yann, Kovács, Bence, Haesen, Stef, Veenendaal, Elmar, Juszczak, Radoslaw, Verheijen, Frank, de Andrade, Ana, Verbeeck, Hans, Bader, Maaike, RENAULT, David, Zimmermann, Reiner, Ferlian, Olga, Medinets, Sergiy, Walz, Josefine, Rossi, Christian, Rocha, Adrian, Lembrechts, Jonas, Jactel, Hervé, Brum, Barbara, Aartsma, Peter, Kobler, Johannes, Eisenhauer, Nico, Bjerke, Jarle, Pellissier, Loïc, Ueyama, Masahito, Manca, Giovanni, Bahalkeh, Khadijeh, Meysman, Filip, Niessner, Armin, Curtis, Robin, Six, Johan, Saccone, Patrick, Wang, Runxi, Ahrends, Antje, Okello, Joseph, Kolle, Olaf, Portillo-Estrada, Miguel, Laska, Kamil, Freeman, Erika, Di Cecco, Valter, Ashcroft, Michael, Steinbauer, Klaus, Della Chiesa, Stefano, van den Brink, Liesbeth, Herberich, Maximiliane, Loubet, Benjamin, Barančok, Peter, Hermanutz, Luise, Souza, Bartolomeu, Contador, Tamara, Zhang, Zhaochen, Aerts, Rien, Stephan, Jörg, Chojnicki, Bogdan, Manco, Antonio, Larson, Keith, Mondoni, Andrea, Palaj, Andrej, Schmeddes, Jonas, Hepenstrick, Daniel, Järveoja, Järvi, Manise, Tanguy, Barthel, Matti, Marciniak, Felipe, Weigel, Robert, Rixen, Christian, Turtureanu, Pavel, Hoffrén, Raúl, Iwata, Hiroki, Vittoz, Pascal, Wedegärtner, Ronja, Penczykowski, Rachel, Phartyal, Shyam, Sitková, Zuzana, Nagy, Laszlo, Ujházy, Karol, Heinesch, Bernard, Berauer, Bernd, Ogée, Jérôme, Malfasi, Francesco, Greise, Caroline, Helfter, Carole, Mosedale, Jonathan, Senior, Rebecca, Magliulo, Enzo, Nuñez, Martin, García, María, Wohlfahrt, Georg, Carbognani, Michele, Thomas, Andrew, Eklundh, Lars, Erfanian, Mohammad, Villar, Luis, Maier, Regine, Dahlberg, C., Guglielmin, Mauro, Jucker, Tommaso, Kelly, Julia, Olesen, Jørgen, Lang, Simone, Tanneberger, Franziska, Gharun, Mana, Jackowicz-Korczynski, Marcin, Convey, Peter, Aalto, Juha, Scheffers, Brett, Ujházyová, Mariana, Andres, Christian, Arriga, Nicola, Smith-Tripp, Sarah, Kanka, Róbert, Dick, Jan, Leihy, Rachel, Van Meerbeek, Koenraad, Maclean, Ilya, Vangansbeke, Pieter, Pampuch, Timo, Čiliak, Marek, Guillemot, Joannès, Sarneel, Judith, Souza, José, Svoboda, Miroslav, Björk, Robert, Merinero, Sonia, Zellweger, Florian, Simpson, Elizabeth, Cannone, Nicoletta, Abedi, Mehdi, Seipel, Tim, Klinges, David, Máliš, František, Basham, Edmund, Sewerniak, Piotr, Schwartz, Naomi, Trouillier, Mario, Vandvik, Vigdis, Shekhar, Ankit, Munoz-Rojas, Miriam, Nicklas, Lena, Goded, Ignacio, Manolaki, Paraskevi, Radujković, Dajana, Yu, Kailiang, Phoenix, Gareth, Cifuentes, Edgar, Seeber, Julia, Deronde, Bart, Lenoir, Jonathan, Frei, Esther, Wilmking, Martin, Hylander, Kristoffer, Graae, Bente, Calzado, M., Wang, Yifeng, Hampe, Arndt, Somers, Ben, Mörsdorf, Martin, Jastrzebowski, Szymon, Ejtehadi, Hamid, Terrestrial Ecology (TE), Universidad de Alcalá. Departamento de Geología, Geografía y Medio Ambiente, BioGeoClimate Modelling Lab, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), Institute for Atmospheric and Earth System Research (INAR), Universiteit Antwerpen = University of Antwerpen [Antwerpen], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), LTSER Zone Atelier Alpes, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Senckenberg Research Institute and Natural History Museum [Frankfurt], Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Biodiversité, Gènes & Communautés (BioGeCo), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 12P1819N, Fonds Wetenschappelijk Onderzoek, ANR-10-LABX-0045,COTE,COntinental To coastal Ecosystems: evolution, adaptability and governance(2010), ANR-13-ISV7-0004,ODYSSEE,De nouvelles voies pour la modélisation des dynamiques d'assemblages d'espèces intégrant l'écologie et l'évolution: le cas des écosystèmes de montagne des Alpes et des Carpates(2013), ANR-20-EBI5-0004,ASICS,ASsessing and mitigating the effects of climate change and biological Invasions on the spatial redistribution of biodiversity in Cold environmentS(2020), ANR-19-CE32-0005,IMPRINT,IMpacts des PRocessus mIcroclimatiques sur la redistributioN de la biodiversiTé forestière en contexte de réchauffement du macroclimat(2019), European Project: 774124 , H2020,H2020-SFS-2017-2,SUPER-G (2018), European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 641918,H2020,H2020-SC5-2014-two-stage,AfricanBioServices(2015), European Project: 678841,H2020,ERC-2015-STG,NICH(2016), European Project: 871128,eLTER PLUS (2020), European Project: 861974, H2020,SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy,SustainSahel(2020), Lembrechts, Jonas J [0000-0002-1933-0750], van den Hoogen, Johan [0000-0001-6624-8461], Aalto, Juha [0000-0001-6819-4911], De Frenne, Pieter [0000-0002-8613-0943], Kemppinen, Julia [0000-0001-7521-7229], Kopecký, Martin [0000-0002-1018-9316], Luoto, Miska [0000-0001-6203-5143], Maclean, Ilya MD [0000-0001-8030-9136], Crowther, Thomas W [0000-0001-5674-8913], Bailey, Joseph J [0000-0002-9526-7095], Haesen, Stef [0000-0002-4491-4213], Klinges, David H [0000-0002-7900-9379], Niittynen, Pekka [0000-0002-7290-029X], Scheffers, Brett R [0000-0003-2423-3821], Van Meerbeek, Koenraad [0000-0002-9260-3815], Aartsma, Peter [0000-0001-5086-856X], Abdalaze, Otar [0000-0001-8140-0900], Abedi, Mehdi [0000-0002-1499-0119], Aerts, Rien [0000-0001-6694-0669], Ahmadian, Negar [0000-0002-7427-7198], Ahrends, Antje [0000-0002-5083-7760], Alatalo, Juha M [0000-0001-5084-850X], Alexander, Jake M [0000-0003-2226-7913], Allonsius, Camille Nina [0000-0003-2599-9941], Altman, Jan [0000-0003-4879-5773], Ammann, Christof [0000-0002-0783-5444], Andres, Christian [0000-0003-0576-6446], Andrews, Christopher [0000-0003-2428-272X], Ardö, Jonas [0000-0002-9318-0973], Arriga, Nicola [0000-0001-5321-3497], Arzac, Alberto [0000-0002-3361-5349], Aschero, Valeria [0000-0003-3865-4133], Assis, Rafael L [0000-0001-8468-6414], Assmann, Jakob Johann [0000-0002-3492-8419], Bader, Maaike Y [0000-0003-4300-7598], Bahalkeh, Khadijeh [0000-0003-1485-0316], Barančok, Peter [0000-0003-1171-2524], Barrio, Isabel C [0000-0002-8120-5248], Barros, Agustina [0000-0002-6810-2391], Basham, Edmund W [0000-0002-0167-7908], Bauters, Marijn [0000-0003-0978-6639], Bazzichetto, Manuele [0000-0002-9874-5064], Marchesini, Luca Belelli [0000-0001-8408-4675], Bell, Michael C [0000-0002-3401-7746], Benavides, Juan C [0000-0002-9694-2195], Benito Alonso, José Luis [0000-0003-1086-8834], Berauer, Bernd J [0000-0002-9472-1532], Bjerke, Jarle W [0000-0003-2721-1492], Björk, Robert G [0000-0001-7346-666X], Björkman, Mats P [0000-0001-5768-1976], Björnsdóttir, Katrin [0000-0001-7421-9441], Blonder, Benjamin [0000-0002-5061-2385], Boeckx, Pascal 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Subjects
0106 biological sciences, Zoology and botany: 480 [VDP], Q1, 01 natural sciences, Global map, SDG 13 - Climate Action, Soil temperature, Zone climatique, bepress|Physical Sciences and Mathematics|Environmental Sciences, bioclimatic variables, global maps, microclimate, near-surface temperatures, soil temperature, soil-dwelling organisms, temperature offset, weather stations, ComputingMilieux_MISCELLANEOUS, General Environmental Science, Global and Planetary Change, GB, Geology, PE&RC, 6. Clean water, Near-surface soil temperature, international, [SDE]Environmental Sciences, 551: Geologie und Hydrologie, Plantenecologie en Natuurbeheer, Température du sol, Near-surface temperature, Near-surface temperatures, Biologie, P40 - Météorologie et climatologie, bepress|Physical Sciences and Mathematics|Earth Sciences, MITIGATION, bepress|Life Sciences|Ecology and Evolutionary Biology, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate, Bioclimatic variables, Settore BIO/07 - ECOLOGIA, 577: Ökologie, Biology, Ecosystem, Ekologi, Changement climatique, Cartographie, Biology and Life Sciences, Microclimate, 15. Life on land, bepress|Physical Sciences and Mathematics|Environmental Sciences|Environmental Monitoring, Agriculture and Soil Science, 0401 agriculture, forestry, and fisheries, Temperature offset, Weather stations, Plan_S-Compliant-OA, Soil, bepress|Life Sciences, ddc:550, Geología, Ecology, Temperature, 04 agricultural and veterinary sciences, Biological Sciences, FOREST, Weather station, Variation saisonnière, Chemistry, Bioclimatologie, bepress|Physical Sciences and Mathematics, 1171 Geosciences, Technology and Engineering, Climate Change, Plant Ecology and Nature Conservation, MOISTURE, LITTER DECOMPOSITION, PERMAFROST, ddc:570, SUITABILITY, G1, bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology, Global maps, VDP::Mathematics and natural scienses: 400::Zoology and botany: 480, Environmental Chemistry, Zoologiske og botaniske fag: 480 [VDP], Soil-dwelling organisms, Aquatic Ecology, P30 - Sciences et aménagement du sol, Bioclimatic variable, SNOW-COVER, bepress|Physical Sciences and Mathematics|Earth Sciences|Soil Science, Earth sciences, PLANT-RESPONSES, CLIMATIC CONTROLS, Soil-dwelling organism, 13. Climate action, Earth and Environmental Sciences, VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480, 040103 agronomy & agriculture, Réchauffement global, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Sciences, 010606 plant biology & botany
Abstract

JJL received funding from the Research Foundation Flanders (grant nr. 12P1819N). The project received funding from the Research Foundation Flanders (grants nrs, G018919N, W001919N). JVDH and TWC received funding from DOB Ecology. JA received funding from the University of Helsinki, Faculty of Science (MICROCLIM, grant nr. 7510145) and Academy of Finland Flagship (grant no. 337552). PDF, CM and PV received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC Starting Grant FORMICA 757833). JK received funding from the Arctic Interactions at the University of Oulu and Academy of Finland (318930, Profi 4), Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet and Societas pro Fauna et Flora Fennica. MK received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). TWC received funding from National Geographic Society grant no. 9480-14 and WW-240R-17. MA received funding from CISSC (program ICRP (grant nr:2397) and INSF (grant nr: 96005914). The Royal Botanic Garden Edinburgh is supported by the Scottish Government's Rural and Environment Science and Analytical Services Division. JMA received funding from the Funding Org. Qatar Petroleum (grant nr. QUEX-CAS-QP-RD-18/19). JMA received funding from the European Union's Horizon 2020 research and innovation program (grant no. 678841) and from the Swiss National Science Foundation (grant no. 31003A_176044). JA was supported by research grants LTAUSA19137 (program INTER-EXCELLENCE, subprogram INTER-ACTION) provided by Czech Ministry of Education, Youth and Sports and 20-05840Y of the Czech Science Foundation. AA was supported by the Ministry of Science and Higher Education of the Russian Federation (grant FSRZ-2020-0014). SN, UAT, JJA, and JvO received funding from the Independent Research Fund Denmark (7027-00133B). LvdB, KT, MYB and RC acknowledge funding from the German Research Foundation within the Priority Program SPP-1803 'EarthShape: Earth Surface Shaping by Biota' (grant TI 338/14-1&2 and BA 3843/6-1). PB was supported by grant project VEGA of the Ministry of Education of the Slovak Republic and the Slovak Academy of Sciences No. 2/0132/18. Forest Research received funding from the Forestry Commission (climate change research programme). JCB acknowledges the support of Universidad Javeriana. JLBA received funding from the Direccion General de Cambio Climatico del Gobierno de Aragon; JLBA acknowledges fieldwork assistance by Ana Acin, the Ordesa y Monte Perdido National Park, and the Servicio de Medio Ambiente de Soria de la Junta de Castilla y Leon. RGB and MPB received funding from BECC - Biodiversity and Ecosystem services in a Changing Climate. MPB received funding from The European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 657627 and The Swedish Research Council FORMAS - future research leaders No. 2016-01187. JB received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). NB received funding from the SNF (grant numbers 40FA40_154245, 20FI21_148992, 20FI20_173691, 407340_172433) and from the EU (contract no. 774124). ICOS EU research infrastructure. EU FP7 NitroEurope. EU FP7 ECLAIRE. The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. This is the study 829 of the BDFFP Technical Series. to The EUCFLUX Cooperative Research Program and Forest Science and Research Institute-IPEF. NC acknowledges funding by Stelvio National Park. JC was funded by the Spanish government grant CGL2016-78093-R. ANID-FONDECYT 1181745 AND INSTITUTO ANTARTICO CHILENO (INACH FR-0418). SC received funding from the German Research Foundation (grant no. DFG- FZT 118, 202548816). The National Science Foundation, Poland (grant no. UMO-2017/27/B/ST10/02228), within the framework of the 'Carbon dioxide uptake potential of sphagnum peatlands in the context of atmospheric optical parameters and climate changes' (KUSCO2) project. SLC received funding from the South African National Research Foundation and the Australian Research Council. FM, M, KU and MU received funding from Slovak Research and Development Agency (no. APVV-19-0319). Instituto Antartico Chileno (INACH_RT-48_16), Iniciativa Cientifica Milenio Nucleo Milenio de Salmonidos Invasores INVASAL, Institute of Ecology and Biodiversity (IEB), CONICYT PIA APOYO CCTE AFB170008. PC is supported by NERC core funding to the BAS 'Biodiversity, Evolution and Adaptation Team. EJC received funding from the Norwegian Research Council (grant number 230970). GND was supported by NERC E3 doctoral training partnership grant (NE/L002558/1) at the University of Edinburgh and the Carnegie Trust for the Universities of Scotland. Monitoring stations on Livingston Island, Antarctica, were funded by different research projects of the Gobern of Spain (PERMAPLANET CTM2009-10165-E; ANTARPERMA CTM2011-15565-E; PERMASNOW CTM2014-52021-R), and the PERMATHERMAL arrangement between the University of Alcala and the Spanish Polar Committee. GN received funding from the Autonomous Province of Bolzano (ITA). The infrastructure, part of the UK Environmental Change Network, was funded historically in part by ScotNature and NERC National Capability LTS-S: UK-SCAPE; NE/R016429/1). JD was supported by the Czech Science Foundation (GA17-19376S) and MSMT (LTAUSA18007). ED received funding from the Kempe Foundation (JCK-1112 and JCK-1822). The infrastructure was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I), grant number LO1415 and by the project for national infrastructure support CzeCOS/ICOS Reg. No. LM2015061. NE received funding from the German Research Foundation (DFG- FZT 118, 202548816). BE received funding from the GLORIA-EU project no EVK2-CT2000-00056, the Autonomous Province of Bolzano (ITA), from the Tiroler Wissenschaftsfonds and from the University of Innsbruck. RME was supported by funding to the SAFE Project from the Sime Darby Foundation. OF received funding from the German Research Foundation (DFG- FZT 118, 202548816). EFP was supported by the Jardin Botanico Atlantico (SV-20-GIJON-JBA). MF was funded by the German Federal Ministry of Education and Research (BMBF) in the context of The Future Okavango (Grant No. 01LL0912) and SASSCAL (01LG1201M; 01LG1201N) projects. EFL received funding from ANID PIA / BASAL FB210006. RAG received funding from Fondecyt 11170516, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MBG received funding from National Parks (DYNBIO, #1656/2015) and The Spanish Research Agency (VULBIMON, #CGL2017-90040-R). MG received funding from the Swiss National Science Foundation (ICOS-CH Phase 2 20FI20_173691). FG received funding from the German Research Foundation (DFG- FZT 118, 202548816). KG and TS received funding from the UK Biotechnology and Biological Research Council (grant = 206/D16053). SG was supported by the Research Foundation Flanders (FWO) (project G0H1517N). KJ and PH received funding from the EU Horizon2020 INFRAIA project eLTER-PLUS (871128), the project LTER-CWN (FFG, F&E Infrastrukturforderung, project number 858024) and the Austrian Climate Research Program (ACRP7 - CentForCSink - KR14AC7K11960). SH and ARB received funding through iDiv funded by the German Research Foundation (DFG- FZT 118, 202548816). LH received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). MH received funding from the Baden-Wurttemberg Ministry of Science, Research and Arts via the project DRIeR (Drought impacts, processes and resilience: making the in-visible visible). LH received funding from International Polar Year, Weston Foundation, and ArcticNet. DH received funding from Natural Sciences and Engineering Council (Canada) (RGPIN-06691). TTH received funding from Independent Research Fund Denmark (grant no. 8021-00423B) and Villum Foundation (grant no. 17523). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078, VAN2020/01 and CZ.02.1.01/0.0/0.0/16_013/0001708). KH, CG and CJD received funding from Bolin Centre for Climate Research, Stockholm University and from the Swedish research council Formas [grant n:o 2014-00530 to KH]. JJ received funding from the Funding Org. Swedish Forest Society Foundation (grant nr. 2018-485-Steg 2 2017) and Swedish Research Council FORMAS (grant nr. 2018-00792). AJ received funding from the German Federal Ministry of Education and Research BMBF (Grant Nr. FKZ 031B0516C SUSALPS) and the Oberfrankenstiftung (Grant Nr. OFS FP00237). ISJ received funding from the Energy Research Fund (NYR-11 - 2019, NYR-18 - 2020). TJ was supported by a UK NERC Independent Research Fellowship (grant number: NE/S01537X/1). RJ received funding from National Science Centre of Poland (grant number: 2016/21/B/ST10/02271) and Polish National Centre for Research and Development (grant number: Pol-Nor/203258/31/2013). VK received funding from the Czech Academy of Sciences (grant nr. RVO 67985939). AAK received funding from MoEFCC, Govt of India (AICOPTAX project F. No. 22018/12/2015/RE/Tax). NK received funding from FORMAS (grants nr. 2018-01781, 2018-02700, 2019-00836), VR, support from the research infrastructure ICOS-SE. BK received funding from the National Research, Development and Innovation Fund of Hungary (grant nr. K128441). Ministry of Education, Youth and Sports of the Czech Republic (projects LM2015078 and CZ.02.1.01/0.0/0.0/16_013/0001708). Project B1-RNM-163-UGR-18-Programa Operativo FEDER 2018, partially funded data collection. Norwegian Research Council (NORKLIMA grants #184912 and #244525) awarded to Vigdis Vandvik. MM received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). Project CONICYT-PAI 79170119 and ANID-MPG 190029 awarded to Roy Mackenzie. This work was partly funded by project MIUR PON Cluster OT4CLIMA. RM received funding from the SNF project number 407340_172433. FM received funding from the Stelvio National Park. PM received funding from AIAS-COFUND fellowship programme supported by the Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration (grant agreement no 609033) and the Aarhus University Research Foundation, Denmark. RM received funding from the Ministry of Education, Youth and Sports of the Czech Republic (project LTT17033). SM and VM received funding from EU FP6 NitroEurope (grant nr. 17841), EU FP7 ECLAIRE (grant nr. 282910), the Ministry of Education and Science of Ukraine (projects nr. 505, 550, 574, 602), GEF-UNEP funded "Toward INMS" project (grant nr. NEC05348) and ENI CBC BSB PONTOS (grant nr. BSB 889). The authors from Biological Dynamics of Forest Fragments Project, PDBFF, Instituto Nacional de Pesquisas da Amazonia, Brazil were supported by the MCTI/CNPq/FNDCT - AcAo Transversal no68/2013 - Programa de Grande Escala da Biosfera-Atmosfera na Amazonia - LBA; Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal'. FJRM was financially supported by the Netherlands Organization for Scientific Research (VICI grant 016.VICI.170.072) and Research Foundation Flanders (FWO-SBO grant S000619N). STM received funding from New Frontiers in Research Fund-Exploration (grant nr. NFRF-2018-02043) and NSERC Discovery. MMR received funding from the Australian Research Council Discovery Early Career Research Award (grant nr. DE180100570). JAM received funding from the National Science Foundation (DEB 1557094), International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, ForestGEO, and Tyson Research Center. IM-S was funded by the UK Natural Environment Research Council through the ShrubTundra Project (NE/M016323/1). MBN received funding from FORMAS, VR, Kempe Foundations support from the research infrastructures ICOS and SITES. MDN received funding from CONICET (grant nr. PIP 112-201501-00609). Spanish Ministry of Science grant PID2019-110521GB-I00 and Catalan government grant 2017-1005. French National Research Agency (ANR) in the frame of the Cluster of Excellence COTE (project HydroBeech, ANR-10-LABX-45). VLIR-OUS, under the Institutional University Coorperation programme (IUC) with Mountains of the Moon University. Project LAS III 77/2017/B entitled: \"Estimation of net carbon dioxide fluxes exchanged between the forest ecosystem on post-agricultural land and between the tornado-damaged forest area and the atmosphere using spectroscopic and numerical methods\", source of funding: General Directorate of State Forests, Warsaw, Poland. Max Planck Society (Germany), RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-45-242908. Estonian Research Council (PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange). Canada-Denmark Arctic Research Station Early Career Scientist Exchange Program, from Polar knowledge Canada (POLAR) and the Danish Agency for Science and Higher Education. AP received funding from Fondecyt 1180205, CONICYT PIA AFB170008 and ANID PIA / BASAL FB210006. MP received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant nr. 2015.0047), and acknowledges funding from the Swedish Research Council (VR) with contributing research institutes to both the SITES and ICOS Sweden infrastructures. JP and RO were funded by the Spanish Ministry of Science grant PID2019-110521GB-I00, the fundacion Ramon Areces grant ELEMENTAL-CLIMATE, and the Catalan government grant 2017-1005. MPB received funding from the Svalbard Environmental Protection Fund (grant project number 15/128) and the Research Council of Norway (Arctic Field Grant, project number 269957). RP received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant INTER-TRANSFER nr. LTT20017). LTSER Zone Atelier Alpes; Federation FREE-Alpes. RP received funding from a Humboldt Fellowship for Experienced Researchers. Prokushkin AS and Zyryanov VI contribution has been supported by the RFBR grant #18-05-60203-Arktika. RPu received founding from the Polish National Science Centre (grant project number 2017/27/B/NZ8/00316). ODYSSEE project (ANR-13-ISV7-0004, PN-II-ID-JRP-RO-FR-2012). KR was supported through an Australian Government Research Training Program Scholarship. Fieldwork was supported by the Global Challenges program at the University of Wollongong, the ARC the Australian Antarctic Division and INACH. DR was funded by the project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' (ANR-20-EBI5-0004). SAR received funding from the Australian Research Council. NSF grant #1556772 to the University of Notre Dame. Pavia University (Italy). OR received funding from EU-LEAP-Agri (RAMSES II), EU-DESIRA (CASSECS), EU-H2020 (SustainSahel), AGROPOLIS and TOTAL Foundations (DSCATT), CGIAR (GLDC). AR was supported by the Russian Science Foundation (Grant 18-74-10048). Parc national des Ecrins. JS received funding from Vetenskapsradet grant nr (No: 2014-04270), ALTER-net multi-site grant, River LIFE project (LIFE08 NAT/S/000266), Flexpeil. Helmholtz Association long-term research program TERENO (Terrestrial Environmental Observatories). PS received funding from the Polish Ministry of Science and Higher Education (grant nr. N N305 304840). AS acknowledges funding by ETH Zurich project FEVER ETH-27 19-1. LSC received funding from NSERC Canada Graduate Scholarship (Doctoral) Program; LSC was also supported by ArcticNet-NCE (insert grant #). Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (141513/2017-9); FundacAo Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (E26/200.84/2019). ZS received funding from the SRDA (grants nos. APVV-16-0325 and APVV-20-0365) and from the ERDF (grant no. ITMS 313011S735, CE LignoSilva). JS, MB and CA received funding from core budget of ETH Zurich. State excellence Program M-V \"WETSCAPES\". AfricanBioServices project funded by the EU Horizon 2020 grant number 641918. The authors from KIT/IMK-IFU acknowledge the funding received within the German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association and from the Bavarian Ministry of the Environment and Public Health (UGV06080204000). Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 192626868, in the framework of the collaborative German-Indonesian research project CRC 990 (SFB): 'EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)'. MS received funding from the Ministry of Education, Youth and Sports of the Czech Republic (grant nr. INTER-TRANSFER LTT19018). TT received funding from the Swedish National Space Board (SNSB Dnr 95/16) and the CASSECS project supported by the European Union. HJDT received funding from the UK Natural Environment Research Council (NERC doctoral training partnership grant NE/L002558/1). German Science Foundation (DFG) GraKo 2010 \"Response\". PDT received funding from the MEMOIRE project (PN-III-P1-1.1-PD2016-0925). Arctic Challenge for Sustainability II (ArCS II; JPMXD1420318865). JU received funding from Czech Science Foundation (grant nr. 21-11487S). TU received funding from the Romanian Ministry of Education and Research (CCCDI - UEFISCDI -project PN-III-P2-2.1-PED-2019-4924 and PN2019-2022/19270201-Ctr. 25N BIODIVERS 3-BIOSERV). AV acknowledge funding from RSF, project 21-14-00209. GFV received funding from the Dutch Research Council NWO (Veni grant, no. 863.14.013). Australian Research Council Discovery Early Career Research Award DE140101611. FGAV received funding from the Portuguese Science Foundation (FCT) under CEECIND/02509/2018, CESAM (UIDP/50017/2020+UIDB/50017/2020), FCT/MCTES through national funds, and the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Ordesa y Monte Perdido National Park. MVI received funding from the Spanish Ministry of Science and Innovation through a doctoral grant (FPU17/05869). JW received funding from the Czech Science Foundation (grant nr. 20-28119S) and the Czech Academy of Sciences (grant nr. RVO 67985939). CR and SW received funding from the Swiss Federal Office for the Environment (FOEN) and the de Giacomi foundation. YY received funding from the National Natural Science Foundation of China (Grant no. 41861134039 and 41941015). ZY received funding from the National Natural Science Foundation of China (grant nr. 41877458). FZ received funding from the Swiss National Science Foundation (grant nr. 172198 and 193645). PZ received funding from the Funding Org. Knut and Alice Wallenberg Foundation (grant no. 2015.0047). JL received funding from (i) the Agence Nationale de la Recherche (ANR), under the framework of the young investigators (JCJC) funding instrument (ANR JCJC Grant project NoANR-19-CE32-0005-01: IMPRINT) (ii) the Centre National de la Recherche Scientifique (CNRS) (Defi INFINITI 2018: MORFO); and the Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE). Fieldwork in the Arctic got facilitated by funding from the EU INTERACT program. SN, UAT, JJA and JvO would like to thank the field team of the Vegetation Dynamics group for their efforts and hard work. We acknowledge Dominique Tristan for letting access to the field. For the logistic support the crew of INACH and Gabriel de Castilla Station team on Deception Island. We thank the Inuvialuit and Kluane First Nations for the opportunity to work on their land. MAdP acknowledges fieldwork assistance and logistics support to Unidad de Tecnologia Marina CSIC, and the crew of Juan Carlos I and Gabriel de Castilla Spanish Antarctic Stations, as well as to the different colleagues from UAH that helped on the instrument maintenance. ERF acknowledges fieldwork assistance by Martin Heggli. MBG acknowledges fieldwork and technical assistance by P Abadia, C Benede, P Bravo, J Gomez, M Grasa, R Jimenez, H Miranda, B Ponz, J Revilla and P Tejero and the Ordesa and Monte Perdido National Park staff. LH acknowledges field assistance by John Jacobs, Andrew Trant, Robert Way, Darroch Whitaker; we acknowledge the Inuit of Nunatsiavut, and the Co-management Board of Torngat Mountains National Park for their support of this project and acknowledge that the field research was conducted on their traditional lands. We thank our many bear guides, especially Boonie, Eli, Herman, John and Maria Merkuratsuk. AAK acknowledges field support of Akhtar Malik, Rameez Ahmad. Part of microclimatic records from Saxony was funded by the Saxon Switzerland National Park Administration. Tyson Research Center. JP acknowledges field support of Emmanuel Malet (Edytem) and Rangers of Reserves Naturelles de Haute-Savoie (ASTERS). Practical help: Roel H. Janssen, N. Huig, E. Bakker, Schools in the tepaseforsoket, Forskar fredag, Erik Herberg. The support by the Bavarian Forest National Park administration is highly appreciated. LvdB acknowledges CONAF and onsite support from the park rangers from PN Pan de Azucar, PN La Campana, PN Nahuelbuta and from communidad agricola Quebrada de Talca. JL and FS acknowledge Manuel Nicolas and all forest officers from the Office National des Forets (ONF) who are in charge of the RENECOFOR network and who provided help and local support for the installation and maintenance of temperature loggers in the field., Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 p ixels ( summarized f rom 8 519 u nique t emperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications., FWO G018919N W001919N 12P1819N, DOB Ecology, University of Helsinki, Faculty of Science (MICROCLIM) 7510145, European Research Council (ERC) FORMICA 757833, Arctic Interactions at the University of Oulu, Academy of Finland 318930 337552, Maaja vesitekniikan tuki ry., Tiina and Antti Herlin Foundation, Nordenskiold Samfundet, Societas pro Fauna et Flora Fennica, Grant Agency of the Czech Republic 20-28119S 20-05840Y GA17-19376S 21-11487S, Czech Academy of Sciences RVO 67985939, National Geographic Society 9480-14 WW-240R-17, CISSC (program ICRP) 2397, Iran National Science Foundation (INSF) 96005914, Scottish Government's Rural and Environment Science and Analytical Services Division, Qatar Petroleum QUEX-CAS-QP-RD-18/19, European Union's Horizon 2020 research and innovation program 678841, Swiss National Science Foundation (SNSF), European Commission 172198 193645 31003A_176044, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137, Ministry of Science and Higher Education of the Russian Federation FSRZ-2020-0014, Independent Research Fund Denmark 8021-00423B 7027-00133B, German Research Foundation (DFG) DFG- FZT 118 202548816 TI 338/14-1 TI 338/14-2 BA 3843/6-1, grant project VEGA of the Ministry of Education of the Slovak Republic Slovak Academy of Sciences 2/0132/18, Forestry Commission, Universidad Javeriana, Direccion General de Cambio Climatico del Gobierno de Aragon, European Union's Horizon 2020 research and innovation program under the Marie Skodowska-Curie Grant 657627 SNF 407340_172433 40FA40_154245 20FI21_148992 20FI20_173691, European Commission 17841 774124, MCTI/CNPq/FNDCT 68/2013, Project 'Como as florestas da Amazonia Central respondem as variacoes climaticas? Efeitos sobre dinamica florestal e sinergia com a fragmentacAo florestal', Spanish Government, European Commission CGL2016-78093-R, ANID-FONDECYT 1181745, National Science Foundation, Poland UMO-2017/27/B/ST10/02228, National Research Foundation - South Africa, Australian Research Council, Slovak Research and Development Agency APVV-19-0319, Instituto Antartico Chileno INACH_RT-48_16 INACH FR-0418, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) PIA APOYO CCTE AFB170008 PIA AFB170008, UK Research & Innovation (UKRI), Natural Environment Research Council (NERC), Research Council of Norway, European Commission 230970, NERC E3 doctoral training partnership grant at the University of Edinburgh NE/L002558/1, Carnegie Trust for the Universities of Scotland, Gobern of Spain PERMAPLANET CTM2009-10165-E ANTARPERMA CTM2011-15565-E PERMASNOW CTM2014-52021-R, University of Alcala, Spanish Polar Committee, Autonomous Province of Bolzano (ITA), ScotNature, NERC National Capability LTS-S: UK-SCAPE NE/R016429/1, Ministry of Education, Youth & Sports - Czech Republic LTAUSA18007, Kempe Foundation JCK-1112 JCK-1822, Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme I (NPU I) LO1415, project for national infrastructure support CzeCOS/ICOS LM2015061 GLORIA-EU EVK2-CT2000-00056, Tiroler Wissenschaftsfonds, University of Innsbruck, Sime Darby Foundation, Jardin Botanico Atlantico SV-20-GIJON-JBA, Federal Ministry of Education & Research (BMBF) 01LL0912 01LG1201M 01LG1201N, Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 11170516 1180205, ANID PIA / BASAL FB210006, National Parks (DYNBIO) 1656/2015, Spanish Research Agency (VULBIMON) CGL2017-90040-R, Swiss National Science Foundation (SNSF) 20FI20_173691, Biotechnology and Biological Sciences Research Council (BBSRC) 206/D16053 FWO G0H1517N, EU Horizon2020 INFRAIA project eLTER-PLUS 871128, project LTER-CWN (FFG, F&E Infrastrukturforderung) 858024, Austrian Climate Research Program ACRP7 - CentForCSink - KR14AC7K11960, iDiv by the German Research Foundation DFG- FZT 118 202548816, Baden-Wurttemberg Ministry of Science, Research and Arts, Weston Foundation, ArcticNet, Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-06691, Villum Foundation 17523, Ministry of Education, Youth & Sports - Czech Republic LM2015078 VAN2020/01 CZ.02.1.01/0.0/0.0/16_013/0001708 LTT17033 LTT20017 INTER-TRANSFER LTT19018, Bolin Centre for Climate Research, Stockholm University, Swedish Research Council Swedish Research Council Formas 2014-00530 2018-00792 2016-01187, Swedish Forest Society Foundation 2018-485-Steg 2 2017, Federal Ministry of Education & Research (BMBF) FKZ 031B0516C SUSALPS, Oberfrankenstiftung OFS FP00237, Energy Research Fund NYR-11 - 2019 NYR-18 - 2020, UK NERC Independent Research Fellowship NE/S01537X/1, National Science Centre, Poland 2016/21/B/ST10/02271, Polish National Centre for Research and Development Pol-Nor/203258/31/2013, MoEFCC, Govt of India (AICOPTAX project) 22018/12/2015/RE/Tax, Swedish Research Council Formas 2018-01781 2018-02700 2019-00836, research infrastructure ICOS-SE, National Research, Development and Innovation Fund of Hungary K128441, Programa Operativo FEDER 2018 B1-RNM-163-UGR-18, Norwegian Research Council (NORKLIMA grants) 184912 244525, CONICYT-PAI 79170119, ANID-MPG 190029, project MIUR PON Cluster OT4CLIMA, Stelvio National Park, AIAS-COFUND fellowship programme - Marie Skodowska- Curie actions under the European Union's Seventh Framework Pro-gramme for Research, Technological development and Demonstration 609033, Aarhus University Research Foundation, Denmark, EU FP6 NitroEurope 17841, EU FP7 ECLAIRE 282910, Ministry of Education and Science of Ukraine 505 550 574 602, GEF-UNEP NEC05348, ENI CBC BSB PONTOS BSB 889, Netherlands Organization for Scientific Research (NWO) 016.VICI.170.072, New Frontiers in Research Fund-Exploration NFRF-2018-02043, Natural Sciences and Engineering Research Council of Canada (NSERC), Australian Research Council DE180100570, National Science Foundation (NSF) DEB 1557094, International Center for Advanced Renewable Energy and Sustainability (I-CARES) at Washington University in St. Louis, Smithsonian Institution Smithsonian Tropical Research Institute, Tyson Research Center, UK Natural Environment Research Council through the ShrubTundra Project NE/M016323/1, Swedish Research Council Formas Swedish Research Council, Kempe Foundations - research infrastructure ICOS Kempe Foundations - research infrastructure SITES, Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) PIP 112-201501-00609, Spanish Government PID2019-110521GB-I00, Catalan government 2017-1005, French National Research Agency (ANR) ANR-10-LABX-45, General Directorate of State Forests, Warsaw, Poland, Max Planck Society, Russian Foundation for Basic Research (RFBR), Krasnoyarsk Territory Krasnoyarsk Regional Fund of Science 20-45-242908, Estonian Research Council PRG609, Knut & Alice Wallenberg Foundation 2015.0047, Swedish Research Council, fundacion Ramon Areces grant ELEMENTAL-CLIMATE, Svalbard Environmental Protection Fund 15/128, Research Council of Norway 269957, Humboldt Fellowship for Experienced Researchers, Russian Foundation for Basic Research (RFBR) 18-05-60203-Arktika, Polish National Science Centre 2017/27/B/NZ8/00316, ODYSSEE project (PN-II-ID-JRP-RO-FR-2012) ANR-13-ISV7-0004, Australian Government, Department of Industry, Innovation and Science, Global Challenges program at the University of Wollongong, ARC the Australian Antarctic Division, INACH, project SUBANTECO IPEV 136 (French Polar Institute Paul-Emile Victor), Zone Atelier CNRS Antarctique et Terres Australes, SAD Region Bretagne (Project INFLICT), BiodivERsa 2019-2020 BioDivClim call 'ASICS' ANR-20-EBI5-0004, National Science Foundation (NSF) 1556772, EU-LEAP-Agri (RAMSES II) EU-DESIRA (CASSECS) EU-H2020 (SustainSahel), AGROPOLIS, Total SA, CGIAR, Russian Science Foundation (RSF) 18-74-10048, Swedish Research Council 2014-04270, ALTER-net multi-site grant, River LIFE project LIFE08 NAT/S/000266, Flexpeil, Ministry of Science and Higher Education, Poland N N305 304840, ETH Zurich FEVER ETH-27 19-1, NSERC Canada Graduate Scholarship (Doctoral) Program, ArcticNet-NCE, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) 141513/2017-9, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ) E26/200.84/2019, SRDA APVV-16-0325 APVV-20-0365, ERDF (CE LignoSilva) ITMS 313011S735, ETH Zurich, EU Horizon 2020 641918, German Terrestrial Environmental Observatories (TERENO) research program of the Helmholtz Association, Bavarian Ministry of the Environment and Public Health UGV06080204000 German Research Foundation (DFG) 192626868, Swedish National Space Board (SNSB) 95/16, CASSECS project by the European Union, Natural Environment Research Council (NERC) NE/L002558/1, MEMOIRE project PN-III-P1-1.1-PD2016-0925, Arctic Challenge for Sustainability II (ArCS II) JPMXD1420318865, Consiliul National al Cercetarii Stiintifice (CNCS), Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (UEFISCDI) PN-III-P2-2.1-PED-2019-4924 PN2019-2022/19270201, 25N BIODIVERS 3-BIOSERV, Russian Science Foundation (RSF) 21-14-00209., Netherlands Organization for Scientific Research (NWO) 863.14.013, Australian Research Council DE140101611, Portuguese Foundation for Science and Technology CEECIND/02509/2018 CESAM UIDP/50017/2020+UIDB/50017/2020, Portuguese Foundation for Science and Technology European Commission, FEDER, within the PT2020 Partnership Agreement, Compete 2020, Spanish Government FPU17/05869, Swiss Federal Office for the Environment (FOEN), Giacomi foundation, National Natural Science Foundation of China (NSFC) 41861134039 41941015 41877458, French National Research Agency (ANR) ANR-19-CE32-0005-01 Centre National de la Recherche Scientifique (CNRS), Structure Federative de Recherche (SFR) Condorcet (FR CNRS 3417: CREUSE), EU INTERACT program, Inuit of Nunatsiavut, Co-management Board of Torngat Mountains National Park, Saxon Switzerland National Park Administration, Bavarian Forest National Park administration, BECC - Biodiversity and Ecosystem services in a Changing Climate, Research Foundation Flanders (FWO-SBO) S000619N

Published
2021

46. Forest-floor greenhouse gas fluxes in a subalpine spruce forest: Continuous multi-year measurements, drivers, and budgets.

Author

Krebs, Luana, Burri, Susanne, Feigenwinter, Iris, Gharun, Mana, Meier, Philip, and Buchmann, Nina

Subjects
BUDGET, SNOW cover, GREENHOUSE gases, LEAF area index, SNOWMELT, SNOW accumulation
Abstract

Forest ecosystems play an important role in the global carbon (C) budget by sequestering a large fraction of anthropogenic carbon dioxide (CO2) emissions and by acting as important methane (CH4) sinks. The forest-floor greenhouse gas (GHG; CO2, CH4 and nitrous oxide N2O) flux, i.e., from soil and understory vegetation, is one of the major components to consider when determining the C budget of forests. Although winter fluxes are essential to determine the annual C budget, only very few studies have examined long-term, year-round forest-floor GHG fluxes. Thus, we aimed to i) quantify the seasonal and annual variations of forest-floor GHG fluxes; ii) evaluate their drivers, including the effects of snow cover, timing, and amount of snow melt, and iii) calculate annual budgets of forest-floor GHG fluxes for a subalpine spruce forest in Switzerland. We measured GHG fluxes year-round during four years with four automatic large chambers at the ICOS Class 1 Ecosystem station Davos (CH-Dav). We applied random forest models to investigate environmental drivers and to gap-fill the flux time series. Annual and seasonal forest-floor CO2 emissions responded most strongly to soil temperature and snow depth (2.34±0.20 kg CO2 m-2 yr-1). No response of forest-floor CO2 emissions to leaf area index or photosynthetic photon flux density was observed, suggesting a strong direct control of environmental factors and a weak or even lacking indirect control of canopy biology. Furthermore, the forest-floor was a consistent CH4 sink (-19.1±1.8 g CO2-eq m-2 yr-1), with annual fluxes driven mainly by snow depth. Fluxes during winter were less important for the CO2 budget (6.0–7.3 %), while they contributed substantially to the annual CH4 budget (14.4–18.4 %). N2O fluxes were very low, negligible for the forest-floor GHG budget at our site. In 2022, the warmest year on record with also below-average precipitation at the Davos site, we observed a substantial increase in forest-floor CO2 emissions compared to other years. The mean forest-floor GHG budget indicated emissions of 2317±200 g CO2-eq m-2 yr-1 (mean±standard deviation over four years), with CO2 fluxes dominating and CH4 offsetting a small proportion (0.8 %) of the GHG budget. Due to the relevance of snow cover, we recommend year-round measurements of GHG fluxes with high temporal resolution. In a future with increasing temperatures and less snow cover due to climate change, we expect increased forest-floor CO2 emissions even at this subalpine site, with negative effects on its carbon sink behaviour. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Soil–plant interactions modulated water availability of Swiss forests during the 2015 and 2018 droughts

Author

Meusburger, Katrin, primary, Trotsiuk, Volodymyr, additional, Schmidt‐Walter, Paul, additional, Baltensweiler, Andri, additional, Brun, Philipp, additional, Bernhard, Fabian, additional, Gharun, Mana, additional, Habel, Raphael, additional, Hagedorn, Frank, additional, Köchli, Roger, additional, Psomas, Achilleas, additional, Puhlmann, Heike, additional, Thimonier, Anne, additional, Waldner, Peter, additional, Zimmermann, Stephan, additional, and Walthert, Lorenz, additional

Published
2022
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49. Global maps of soil temperature

Author

Lembrechts, Jonas J., van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B., De Frenne, Pieter, Kemppinen, Julia, Kopecký, Martin, Luoto, Miska, Maclean, Ilya M. D., Crowther, Thomas W., Bailey, Joseph J., Haesen, Stef, Klinges, David H., Niittynen, Pekka, Scheffers, Brett R., Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M., Alexander, Jake M., Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ardö, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L., Assmann, Jakob Johann, Bader, Maaike Y., Bahalkeh, Khadijeh, Barančok, Peter, Barrio, Isabel C., Barros, Agustina, Barthel, Matti, Basham, Edmund W., Bauters, Marijn, Bazzichetto, Manuele, Belelli Marchesini, Luca, Bell, Michael C., Benavides, Juan C., Benito Alonso, José Luis, Berauer, Bernd J., Bjerke, Jarle W., Björk, Robert G., Björkman, Mats P., Björnsdóttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, Bárbara N. S., Brůna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, Jose Luis C., Campoe, Otavio, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova-Katny, Angélica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L., Cifuentes, Edgar F., Čiliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J., Cremonese, Eodardo, Curasi, Salvatore R., Curtis, Robin, Cutini, Maurizio, Dahlberg, C. Johan, Daskalova, Gergana N., de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, Jürgen, Deronde, Bart, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D., Dolezal, Jiri, Dorrepaal, Ellen, Dusek, Jiri, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E., Erschbamer, Brigitta, Eugster, Werner, Ewers, Robert M., Exton, Dan A., Fanin, Nicolas, Fazlioglu, Fatih, Feigenwinter, Iris, Fenu, Giuseppe, Ferlian, Olga, Fernández Calzado, M. Rosa, Fernández-Pascual, Eduardo, Finckh, Manfred, Finger Higgens, Rebecca, Forte, T'ai G. W., Freeman, Erika C., Frei, Esther R., Fuentes-Lillo, Eduardo, García, Rafael A., García, María B., Géron, Charly, Gharun, Mana, Ghosn, Dany, Gigauri, Khatuna, Gobin, Anne, Goded, Ignacio, Goeckede, Mathias, Gottschall, Felix, Goulding, Keith, Govaert, Sanne, Jessen Graae, Bente, Greenwood, Sarah, Greiser, Caroline, Grelle, Achim, Guénard, Benoït, Guglielmin, Mauro, Guillemot, Joannès, Haase, Peter, Haider, Sylvia, Halbritter, Aud H., Hamid, Maroof, Hammerle, Albin, Hampe, Arndt, Haugum, Siri V., Hederová, Lucia, Heinesch, Bernard, Helfters, Carole, Hepenstrick, Daniel, Herberich, Maximiliane, Herbst, Mathias, Hermanutz, Luise, Hik, David S., Hoffrén, Raúl, Homeier, Jürgen, Hörtnagl, Lukas, Hoye, Toke T., Hrbacek, Filip, Hylander, Kristoffer, Iwata, Hiroki, Jackowicz-Korczynski, Marcin, Jactel, Hervé, Järveoja, Järvi, Jastrzębowski, Szymon, Jentsch, Anke, Jiménez, Juan J., Jónsdóttir, Ingibjörg S., Jucker, Tommaso, Jump, Alistair S., Juszczak, Radoslaw, Kanka, Robert, Kašpar, Vít, Kazakis, George, Kelly, Julia, Khuroo, Anzar A., Klemedtsson, Leif, Klisz, Marcin, Kljun, Natascha, Knohl, Alexander, Kobler, Johannes, Kollár, Jozef, Kotowska, Martyna M., Kovács, Bence, Kreyling, Juergen, Lamprecht, Andrea, Lang, Simone I., Larson, Christian, Larson, Keith, Laska, Kamil, Le Maire, Guerric, Leihy, Rachel I., Lens, Luc, Liljebladh, Bengt, Lohila, Annalea, Lorite, Juan, Loubet, Benjamin, Lynn, Joshua, Macek, Martin, Mackenzie, Roy, Magliulo, Enzo, Maier, Regine, Malfasi, Francesco, Malis, František, Man, Matěj, Manca, Giovanni, Manco, Antonio, Manise, Tanguy, Manolaki, Paraskevi, Marciniak, Felipe, Matula, Radim, Mazzolari, Ana Clara, Medinets, Volodymyr, Meeussen, Camille, Merinero, Sonia, de Cássia Guimarães Mesquita, Rita, Meusburger, Katrin, Meysman, Filip J.R., Michaletz, Sean T., Milbau, Ann, Moiseev, Dmitry, Moiseev, Pavel, Mondoni, Andrea, Monfries, Ruth, Montagnani, Leonardo, Moriana-Armendariz, Mikel, Morra di Cella, Umberto, Mörsdorf, Martin, Mosedale, Jonnathan R., Muffler, Lena, Muñoz-Rojas, Miriam, Myers, Jonnathan A., Myers-Smith, Isla H., Nagy, Laszlo, Nardino, Marianna, Naujokaitis-Lewis, Ilona, Newling, Emily, Nicklas, Lena, Niedrist, Georg, Niessner, Armin, Nilsson, Mats B., Normand, Signe, Nosetto, Marcelo, Nouvellon, Yann, Nunez, Martin, Ogaya, Romà, Ogée, Jérôme, Okello, Joseph, Olejnik, Janusz, Olesen, Jørgen Eivind, Opedal, Oystein H., Orsenigo, Simone, Palaj, Andrej, Pampuch, Timo, Panov, Alexey V., Pärtel, Meelis, Pastor, Ada, Pauchard, Anibal, Pauli, Harald, Pavelka, Marian, Pearse, William D., Peichl, Matthias, Pellissier, Loïc, Penczykowski, Rachel M., Peñuelas, Josep, Petit Bon, Matteo, Petraglia, Alessandro, Phartyal, Shyam S., Phoenix, Gareth K., Pio, Casimiro, Pitacco, Andrea, Pitteloud, Camille, Plichta, Roman, Porro, Francesco, Portillo-Estrada, Miguel, Poulenard, Jérôme, Poyatos, Rafael, Prokushkin, Anatoly S., Puchalka, Radoslaw, Puscas, Mihai, Radujković, Dajana, Randall, Krystal, Ratier Backes, Amanda, Remmele, Sabine, Remmers, Wolfram, Renault, David, Risch, Anita C., Rixen, Christian, Robinson, Sharon A., Robroek, Bjorn J.M., Rocha, Adrian V., Rossi, Christian, Rossi, Graziano, Roupsard, Olivier, et al., Lembrechts, Jonas J., van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B., De Frenne, Pieter, Kemppinen, Julia, Kopecký, Martin, Luoto, Miska, Maclean, Ilya M. D., Crowther, Thomas W., Bailey, Joseph J., Haesen, Stef, Klinges, David H., Niittynen, Pekka, Scheffers, Brett R., Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M., Alexander, Jake M., Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ardö, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L., Assmann, Jakob Johann, Bader, Maaike Y., Bahalkeh, Khadijeh, Barančok, Peter, Barrio, Isabel C., Barros, Agustina, Barthel, Matti, Basham, Edmund W., Bauters, Marijn, Bazzichetto, Manuele, Belelli Marchesini, Luca, Bell, Michael C., Benavides, Juan C., Benito Alonso, José Luis, Berauer, Bernd J., Bjerke, Jarle W., Björk, Robert G., Björkman, Mats P., Björnsdóttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, Bárbara N. S., Brůna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, Jose Luis C., Campoe, Otavio, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova-Katny, Angélica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L., Cifuentes, Edgar F., Čiliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J., Cremonese, Eodardo, Curasi, Salvatore R., Curtis, Robin, Cutini, Maurizio, Dahlberg, C. Johan, Daskalova, Gergana N., de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, Jürgen, Deronde, Bart, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D., Dolezal, Jiri, Dorrepaal, Ellen, Dusek, Jiri, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E., Erschbamer, Brigitta, Eugster, Werner, Ewers, Robert M., Exton, Dan A., Fanin, Nicolas, Fazlioglu, Fatih, Feigenwinter, Iris, Fenu, Giuseppe, Ferlian, Olga, Fernández Calzado, M. Rosa, Fernández-Pascual, Eduardo, Finckh, Manfred, Finger Higgens, Rebecca, Forte, T'ai G. W., Freeman, Erika C., Frei, Esther R., Fuentes-Lillo, Eduardo, García, Rafael A., García, María B., Géron, Charly, Gharun, Mana, Ghosn, Dany, Gigauri, Khatuna, Gobin, Anne, Goded, Ignacio, Goeckede, Mathias, Gottschall, Felix, Goulding, Keith, Govaert, Sanne, Jessen Graae, Bente, Greenwood, Sarah, Greiser, Caroline, Grelle, Achim, Guénard, Benoït, Guglielmin, Mauro, Guillemot, Joannès, Haase, Peter, Haider, Sylvia, Halbritter, Aud H., Hamid, Maroof, Hammerle, Albin, Hampe, Arndt, Haugum, Siri V., Hederová, Lucia, Heinesch, Bernard, Helfters, Carole, Hepenstrick, Daniel, Herberich, Maximiliane, Herbst, Mathias, Hermanutz, Luise, Hik, David S., Hoffrén, Raúl, Homeier, Jürgen, Hörtnagl, Lukas, Hoye, Toke T., Hrbacek, Filip, Hylander, Kristoffer, Iwata, Hiroki, Jackowicz-Korczynski, Marcin, Jactel, Hervé, Järveoja, Järvi, Jastrzębowski, Szymon, Jentsch, Anke, Jiménez, Juan J., Jónsdóttir, Ingibjörg S., Jucker, Tommaso, Jump, Alistair S., Juszczak, Radoslaw, Kanka, Robert, Kašpar, Vít, Kazakis, George, Kelly, Julia, Khuroo, Anzar A., Klemedtsson, Leif, Klisz, Marcin, Kljun, Natascha, Knohl, Alexander, Kobler, Johannes, Kollár, Jozef, Kotowska, Martyna M., Kovács, Bence, Kreyling, Juergen, Lamprecht, Andrea, Lang, Simone I., Larson, Christian, Larson, Keith, Laska, Kamil, Le Maire, Guerric, Leihy, Rachel I., Lens, Luc, Liljebladh, Bengt, Lohila, Annalea, Lorite, Juan, Loubet, Benjamin, Lynn, Joshua, Macek, Martin, Mackenzie, Roy, Magliulo, Enzo, Maier, Regine, Malfasi, Francesco, Malis, František, Man, Matěj, Manca, Giovanni, Manco, Antonio, Manise, Tanguy, Manolaki, Paraskevi, Marciniak, Felipe, Matula, Radim, Mazzolari, Ana Clara, Medinets, Volodymyr, Meeussen, Camille, Merinero, Sonia, de Cássia Guimarães Mesquita, Rita, Meusburger, Katrin, Meysman, Filip J.R., Michaletz, Sean T., Milbau, Ann, Moiseev, Dmitry, Moiseev, Pavel, Mondoni, Andrea, Monfries, Ruth, Montagnani, Leonardo, Moriana-Armendariz, Mikel, Morra di Cella, Umberto, Mörsdorf, Martin, Mosedale, Jonnathan R., Muffler, Lena, Muñoz-Rojas, Miriam, Myers, Jonnathan A., Myers-Smith, Isla H., Nagy, Laszlo, Nardino, Marianna, Naujokaitis-Lewis, Ilona, Newling, Emily, Nicklas, Lena, Niedrist, Georg, Niessner, Armin, Nilsson, Mats B., Normand, Signe, Nosetto, Marcelo, Nouvellon, Yann, Nunez, Martin, Ogaya, Romà, Ogée, Jérôme, Okello, Joseph, Olejnik, Janusz, Olesen, Jørgen Eivind, Opedal, Oystein H., Orsenigo, Simone, Palaj, Andrej, Pampuch, Timo, Panov, Alexey V., Pärtel, Meelis, Pastor, Ada, Pauchard, Anibal, Pauli, Harald, Pavelka, Marian, Pearse, William D., Peichl, Matthias, Pellissier, Loïc, Penczykowski, Rachel M., Peñuelas, Josep, Petit Bon, Matteo, Petraglia, Alessandro, Phartyal, Shyam S., Phoenix, Gareth K., Pio, Casimiro, Pitacco, Andrea, Pitteloud, Camille, Plichta, Roman, Porro, Francesco, Portillo-Estrada, Miguel, Poulenard, Jérôme, Poyatos, Rafael, Prokushkin, Anatoly S., Puchalka, Radoslaw, Puscas, Mihai, Radujković, Dajana, Randall, Krystal, Ratier Backes, Amanda, Remmele, Sabine, Remmers, Wolfram, Renault, David, Risch, Anita C., Rixen, Christian, Robinson, Sharon A., Robroek, Bjorn J.M., Rocha, Adrian V., Rossi, Christian, Rossi, Graziano, Roupsard, Olivier, and et al.

Abstract

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.

Published
2022

50. Global maps of soil temperature

Author

Lembrechts, Jonas J, van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopecký, Martin, Luoto, Miska, Maclean, Ilya M D, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Scheffers, Brett R, Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M, Alexander, Jake M, Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ardö, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L, Assmann, Jakob Johann, Bader, Maaike Y, Bahalkeh, Khadijeh, Barančok, Peter, Barrio, Isabel C, Barros, Agustina, Barthel, Matti, Basham, Edmund W, Bauters, Marijn, Bazzichetto, Manuele, Marchesini, Luca Belelli, Bell, Michael C, Benavides, Juan C, Benito Alonso, José Luis, Berauer, Bernd J, Bjerke, Jarle W, Björk, Robert G, Björkman, Mats P, Björnsdóttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, Bárbara N S, Brůna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, José Luís, Campoe, Otávio C, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova-Katny, Angélica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L, Cifuentes, Edgar F, Čiliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J, Cremonese, Edoardo, Curasi, Salvatore R, Curtis, Robin, Cutini, Maurizio, Dahlberg, C Johan, Daskalova, Gergana N, de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, Jürgen, Deronde, Bart, Descombes, Patrice, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D, Dolezal, Jiri, Dorrepaal, Ellen, Dušek, Jiří, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E, Erschbamer, Brigitta, Eugster, Werner, Ewers, Robert M, Exton, Dan A, Fanin, Nicolas, Fazlioglu, Fatih, Feigenwinter, Iris, Fenu, Giuseppe, Ferlian, Olga, Fernández Calzado, M Rosa, Fernández-Pascual, Eduardo, Finckh, Manfred, Higgens, Rebecca Finger, Forte, T'ai G W, Freeman, Erika C, Frei, Esther R, Fuentes-Lillo, Eduardo, García, Rafael A, García, María B, Géron, Charly, Gharun, Mana, Ghosn, Dany, Gigauri, Khatuna, Gobin, Anne, Goded, Ignacio, Goeckede, Mathias, Gottschall, Felix, Goulding, Keith, Govaert, Sanne, Graae, Bente Jessen, Greenwood, Sarah, Greiser, Caroline, Grelle, Achim, Guénard, Benoit, Guglielmin, Mauro, Guillemot, Joannès, Haase, Peter, Haider, Sylvia, Halbritter, Aud H, Hamid, Maroof, Hammerle, Albin, Hampe, Arndt, Haugum, Siri V, Hederová, Lucia, Heinesch, Bernard, Helfter, Carole, Hepenstrick, Daniel, Herberich, Maximiliane, Herbst, Mathias, Hermanutz, Luise, Hik, David S, Hoffrén, Raúl, Homeier, Jürgen, Hörtnagl, Lukas, Høye, Toke T, Hrbacek, Filip, Hylander, Kristoffer, Iwata, Hiroki, Jackowicz-Korczynski, Marcin Antoni, Jactel, Hervé, Järveoja, Järvi, Jastrzębowski, Szymon, Jentsch, Anke, Jiménez, Juan J, Jónsdóttir, Ingibjörg S, Jucker, Tommaso, Jump, Alistair S, Juszczak, Radoslaw, Kanka, Róbert, Kašpar, Vít, Kazakis, George, Kelly, Julia, Khuroo, Anzar A, Klemedtsson, Leif, Klisz, Marcin, Kljun, Natascha, Knohl, Alexander, Kobler, Johannes, Kollár, Jozef, Kotowska, Martyna M, Kovács, Bence, Kreyling, Juergen, Lamprecht, Andrea, Lang, Simone I, Larson, Christian, Larson, Keith, Laska, Kamil, le Maire, Guerric, Leihy, Rachel I, Lens, Luc, Liljebladh, Bengt, Lohila, Annalea, Lorite, Juan, Loubet, Benjamin, Lynn, Joshua, Macek, Martin, Mackenzie, Roy, Magliulo, Enzo, Maier, Regine, Malfasi, Francesco, Máliš, František, Man, Matěj, Manca, Giovanni, Manco, Antonio, Manise, Tanguy, Manolaki, Paraskevi, Marciniak, Felipe, Matula, Radim, Mazzolari, Ana Clara, Medinets, Sergiy, Medinets, Volodymyr, Meeussen, Camille, Merinero, Sonia, Mesquita, Rita de Cássia Guimarães, Meusburger, Katrin, Meysman, Filip J R, Michaletz, Sean T, Milbau, Ann, Moiseev, Dmitry, Moiseev, Pavel, Mondoni, Andrea, Monfries, Ruth, Montagnani, Leonardo, Moriana-Armendariz, Mikel, Morra di Cella, Umberto, Mörsdorf, Martin, Mosedale, Jonathan R, Muffler, Lena, Muñoz-Rojas, Miriam, Myers, Jonathan A, Myers-Smith, Isla H, Nagy, Laszlo, Nardino, Marianna, Naujokaitis-Lewis, Ilona, Newling, Emily, Nicklas, Lena, Niedrist, Georg, Niessner, Armin, Nilsson, Mats B, Normand, Signe, Nosetto, Marcelo D, Nouvellon, Yann, Nuñez, Martin A, Ogaya, Romà, Ogée, Jérôme, Okello, Joseph, Olejnik, Janusz, Olesen, Jørgen Eivind, Opedal, Øystein H, Orsenigo, Simone, Palaj, Andrej, Pampuch, Timo, Panov, Alexey V, Pärtel, Meelis, Pastor, Ada, Pauchard, Aníbal, Pauli, Harald, Pavelka, Marian, Pearse, William D, Peichl, Matthias, Pellissier, Loïc, Penczykowski, Rachel M, Penuelas, Josep, Petit Bon, Matteo, Petraglia, Alessandro, Phartyal, Shyam S, Phoenix, Gareth K, Pio, Casimiro, Pitacco, Andrea, Pitteloud, Camille, Plichta, Roman, Porro, Francesco, Portillo-Estrada, Miguel, Poulenard, Jérôme, Poyatos, Rafael, Prokushkin, Anatoly S, Puchalka, Radoslaw, Pușcaș, Mihai, Radujković, Dajana, Randall, Krystal, Ratier Backes, Amanda, Remmele, Sabine, Remmers, Wolfram, Renault, David, Risch, Anita C, Rixen, Christian, Robinson, Sharon A, Robroek, Bjorn J M, Rocha, Adrian V, Rossi, Christian, Rossi, Graziano, Roupsard, Olivier, Rubtsov, Alexey V, Saccone, Patrick, Sagot, Clotilde, Sallo Bravo, Jhonatan, Santos, Cinthya C, Sarneel, Judith M, Scharnweber, Tobias, Schmeddes, Jonas, Schmidt, Marius, Scholten, Thomas, Schuchardt, Max, Schwartz, Naomi, Scott, Tony, Seeber, Julia, Segalin de Andrade, Ana Cristina, Seipel, Tim, Semenchuk, Philipp, Senior, Rebecca A, Serra-Diaz, Josep M, Sewerniak, Piotr, Shekhar, Ankit, Sidenko, Nikita V, Siebicke, Lukas, Siegwart Collier, Laura, Simpson, Elizabeth, Siqueira, David P, Sitková, Zuzana, Six, Johan, Smiljanic, Marko, Smith, Stuart W, Smith-Tripp, Sarah, Somers, Ben, Sørensen, Mia Vedel, Souza, José João L L, Souza, Bartolomeu Israel, Souza Dias, Arildo, Spasojevic, Marko J, Speed, James D M, Spicher, Fabien, Stanisci, Angela, Steinbauer, Klaus, Steinbrecher, Rainer, Steinwandter, Michael, Stemkovski, Michael, Stephan, Jörg G, Stiegler, Christian, Stoll, Stefan, Svátek, Martin, Svoboda, Miroslav, Tagesson, Torbern, Tanentzap, Andrew J, Tanneberger, Franziska, Theurillat, Jean-Paul, Thomas, Haydn J D, Thomas, Andrew D, Tielbörger, Katja, Tomaselli, Marcello, Treier, Urs Albert, Trouillier, Mario, Turtureanu, Pavel Dan, Tutton, Rosamond, Tyystjärvi, Vilna A, Ueyama, Masahito, Ujházy, Karol, Ujházyová, Mariana, Uogintas, Domas, Urban, Anastasiya V, Urban, Josef, Urbaniak, Marek, Ursu, Tudor-Mihai, Vaccari, Francesco Primo, Van de Vondel, Stijn, van den Brink, Liesbeth, Van Geel, Maarten, Vandvik, Vigdis, Vangansbeke, Pieter, Varlagin, Andrej, Veen, G F, Veenendaal, Elmar, Venn, Susanna E, Verbeeck, Hans, Verbrugggen, Erik, Verheijen, Frank G A, Villar, Luis, Vitale, Luca, Vittoz, Pascal, Vives-Ingla, Maria, von Oppen, Jonathan, Walz, Josefine, Wang, Runxi, Wang, Yifeng, Way, Robert G, Wedegärtner, Ronja E M, Weigel, Robert, Wild, Jan, Wilkinson, Matthew, Wilmking, Martin, Wingate, Lisa, Winkler, Manuela, Wipf, Sonja, Wohlfahrt, Georg, Xenakis, Georgios, Yang, Yan, Yu, Zicheng, Yu, Kailiang, Zellweger, Florian, Zhang, Jian, Zhang, Zhaochen, Zhao, Peng, Ziemblińska, Klaudia, Zimmermann, Reiner, Zong, Shengwei, Zyryanov, Viacheslav I, Nijs, Ivan, Lenoir, Jonathan, Lembrechts, Jonas J, van den Hoogen, Johan, Aalto, Juha, Ashcroft, Michael B, De Frenne, Pieter, Kemppinen, Julia, Kopecký, Martin, Luoto, Miska, Maclean, Ilya M D, Crowther, Thomas W, Bailey, Joseph J, Haesen, Stef, Klinges, David H, Niittynen, Pekka, Scheffers, Brett R, Van Meerbeek, Koenraad, Aartsma, Peter, Abdalaze, Otar, Abedi, Mehdi, Aerts, Rien, Ahmadian, Negar, Ahrends, Antje, Alatalo, Juha M, Alexander, Jake M, Allonsius, Camille Nina, Altman, Jan, Ammann, Christof, Andres, Christian, Andrews, Christopher, Ardö, Jonas, Arriga, Nicola, Arzac, Alberto, Aschero, Valeria, Assis, Rafael L, Assmann, Jakob Johann, Bader, Maaike Y, Bahalkeh, Khadijeh, Barančok, Peter, Barrio, Isabel C, Barros, Agustina, Barthel, Matti, Basham, Edmund W, Bauters, Marijn, Bazzichetto, Manuele, Marchesini, Luca Belelli, Bell, Michael C, Benavides, Juan C, Benito Alonso, José Luis, Berauer, Bernd J, Bjerke, Jarle W, Björk, Robert G, Björkman, Mats P, Björnsdóttir, Katrin, Blonder, Benjamin, Boeckx, Pascal, Boike, Julia, Bokhorst, Stef, Brum, Bárbara N S, Brůna, Josef, Buchmann, Nina, Buysse, Pauline, Camargo, José Luís, Campoe, Otávio C, Candan, Onur, Canessa, Rafaella, Cannone, Nicoletta, Carbognani, Michele, Carnicer, Jofre, Casanova-Katny, Angélica, Cesarz, Simone, Chojnicki, Bogdan, Choler, Philippe, Chown, Steven L, Cifuentes, Edgar F, Čiliak, Marek, Contador, Tamara, Convey, Peter, Cooper, Elisabeth J, Cremonese, Edoardo, Curasi, Salvatore R, Curtis, Robin, Cutini, Maurizio, Dahlberg, C Johan, Daskalova, Gergana N, de Pablo, Miguel Angel, Della Chiesa, Stefano, Dengler, Jürgen, Deronde, Bart, Descombes, Patrice, Di Cecco, Valter, Di Musciano, Michele, Dick, Jan, Dimarco, Romina D, Dolezal, Jiri, Dorrepaal, Ellen, Dušek, Jiří, Eisenhauer, Nico, Eklundh, Lars, Erickson, Todd E, Erschbamer, Brigitta, Eugster, Werner, Ewers, Robert M, Exton, Dan A, Fanin, Nicolas, Fazlioglu, Fatih, Feigenwinter, Iris, Fenu, Giuseppe, Ferlian, Olga, Fernández Calzado, M Rosa, Fernández-Pascual, Eduardo, Finckh, Manfred, Higgens, Rebecca Finger, Forte, T'ai G W, Freeman, Erika C, Frei, Esther R, Fuentes-Lillo, Eduardo, García, Rafael A, García, María B, Géron, Charly, Gharun, Mana, Ghosn, Dany, Gigauri, Khatuna, Gobin, Anne, Goded, Ignacio, Goeckede, Mathias, Gottschall, Felix, Goulding, Keith, Govaert, Sanne, Graae, Bente Jessen, Greenwood, Sarah, Greiser, Caroline, Grelle, Achim, Guénard, Benoit, Guglielmin, Mauro, Guillemot, Joannès, Haase, Peter, Haider, Sylvia, Halbritter, Aud H, Hamid, Maroof, Hammerle, Albin, Hampe, Arndt, Haugum, Siri V, Hederová, Lucia, Heinesch, Bernard, Helfter, Carole, Hepenstrick, Daniel, Herberich, Maximiliane, Herbst, Mathias, Hermanutz, Luise, Hik, David S, Hoffrén, Raúl, Homeier, Jürgen, Hörtnagl, Lukas, Høye, Toke T, Hrbacek, Filip, Hylander, Kristoffer, Iwata, Hiroki, Jackowicz-Korczynski, Marcin Antoni, Jactel, Hervé, Järveoja, Järvi, Jastrzębowski, Szymon, Jentsch, Anke, Jiménez, Juan J, Jónsdóttir, Ingibjörg S, Jucker, Tommaso, Jump, Alistair S, Juszczak, Radoslaw, Kanka, Róbert, Kašpar, Vít, Kazakis, George, Kelly, Julia, Khuroo, Anzar A, Klemedtsson, Leif, Klisz, Marcin, Kljun, Natascha, Knohl, Alexander, Kobler, Johannes, Kollár, Jozef, Kotowska, Martyna M, Kovács, Bence, Kreyling, Juergen, Lamprecht, Andrea, Lang, Simone I, Larson, Christian, Larson, Keith, Laska, Kamil, le Maire, Guerric, Leihy, Rachel I, Lens, Luc, Liljebladh, Bengt, Lohila, Annalea, Lorite, Juan, Loubet, Benjamin, Lynn, Joshua, Macek, Martin, Mackenzie, Roy, Magliulo, Enzo, Maier, Regine, Malfasi, Francesco, Máliš, František, Man, Matěj, Manca, Giovanni, Manco, Antonio, Manise, Tanguy, Manolaki, Paraskevi, Marciniak, Felipe, Matula, Radim, Mazzolari, Ana Clara, Medinets, Sergiy, Medinets, Volodymyr, Meeussen, Camille, Merinero, Sonia, Mesquita, Rita de Cássia Guimarães, Meusburger, Katrin, Meysman, Filip J R, Michaletz, Sean T, Milbau, Ann, Moiseev, Dmitry, Moiseev, Pavel, Mondoni, Andrea, Monfries, Ruth, Montagnani, Leonardo, Moriana-Armendariz, Mikel, Morra di Cella, Umberto, Mörsdorf, Martin, Mosedale, Jonathan R, Muffler, Lena, Muñoz-Rojas, Miriam, Myers, Jonathan A, Myers-Smith, Isla H, Nagy, Laszlo, Nardino, Marianna, Naujokaitis-Lewis, Ilona, Newling, Emily, Nicklas, Lena, Niedrist, Georg, Niessner, Armin, Nilsson, Mats B, Normand, Signe, Nosetto, Marcelo D, Nouvellon, Yann, Nuñez, Martin A, Ogaya, Romà, Ogée, Jérôme, Okello, Joseph, Olejnik, Janusz, Olesen, Jørgen Eivind, Opedal, Øystein H, Orsenigo, Simone, Palaj, Andrej, Pampuch, Timo, Panov, Alexey V, Pärtel, Meelis, Pastor, Ada, Pauchard, Aníbal, Pauli, Harald, Pavelka, Marian, Pearse, William D, Peichl, Matthias, Pellissier, Loïc, Penczykowski, Rachel M, Penuelas, Josep, Petit Bon, Matteo, Petraglia, Alessandro, Phartyal, Shyam S, Phoenix, Gareth K, Pio, Casimiro, Pitacco, Andrea, Pitteloud, Camille, Plichta, Roman, Porro, Francesco, Portillo-Estrada, Miguel, Poulenard, Jérôme, Poyatos, Rafael, Prokushkin, Anatoly S, Puchalka, Radoslaw, Pușcaș, Mihai, Radujković, Dajana, Randall, Krystal, Ratier Backes, Amanda, Remmele, Sabine, Remmers, Wolfram, Renault, David, Risch, Anita C, Rixen, Christian, Robinson, Sharon A, Robroek, Bjorn J M, Rocha, Adrian V, Rossi, Christian, Rossi, Graziano, Roupsard, Olivier, Rubtsov, Alexey V, Saccone, Patrick, Sagot, Clotilde, Sallo Bravo, Jhonatan, Santos, Cinthya C, Sarneel, Judith M, Scharnweber, Tobias, Schmeddes, Jonas, Schmidt, Marius, Scholten, Thomas, Schuchardt, Max, Schwartz, Naomi, Scott, Tony, Seeber, Julia, Segalin de Andrade, Ana Cristina, Seipel, Tim, Semenchuk, Philipp, Senior, Rebecca A, Serra-Diaz, Josep M, Sewerniak, Piotr, Shekhar, Ankit, Sidenko, Nikita V, Siebicke, Lukas, Siegwart Collier, Laura, Simpson, Elizabeth, Siqueira, David P, Sitková, Zuzana, Six, Johan, Smiljanic, Marko, Smith, Stuart W, Smith-Tripp, Sarah, Somers, Ben, Sørensen, Mia Vedel, Souza, José João L L, Souza, Bartolomeu Israel, Souza Dias, Arildo, Spasojevic, Marko J, Speed, James D M, Spicher, Fabien, Stanisci, Angela, Steinbauer, Klaus, Steinbrecher, Rainer, Steinwandter, Michael, Stemkovski, Michael, Stephan, Jörg G, Stiegler, Christian, Stoll, Stefan, Svátek, Martin, Svoboda, Miroslav, Tagesson, Torbern, Tanentzap, Andrew J, Tanneberger, Franziska, Theurillat, Jean-Paul, Thomas, Haydn J D, Thomas, Andrew D, Tielbörger, Katja, Tomaselli, Marcello, Treier, Urs Albert, Trouillier, Mario, Turtureanu, Pavel Dan, Tutton, Rosamond, Tyystjärvi, Vilna A, Ueyama, Masahito, Ujházy, Karol, Ujházyová, Mariana, Uogintas, Domas, Urban, Anastasiya V, Urban, Josef, Urbaniak, Marek, Ursu, Tudor-Mihai, Vaccari, Francesco Primo, Van de Vondel, Stijn, van den Brink, Liesbeth, Van Geel, Maarten, Vandvik, Vigdis, Vangansbeke, Pieter, Varlagin, Andrej, Veen, G F, Veenendaal, Elmar, Venn, Susanna E, Verbeeck, Hans, Verbrugggen, Erik, Verheijen, Frank G A, Villar, Luis, Vitale, Luca, Vittoz, Pascal, Vives-Ingla, Maria, von Oppen, Jonathan, Walz, Josefine, Wang, Runxi, Wang, Yifeng, Way, Robert G, Wedegärtner, Ronja E M, Weigel, Robert, Wild, Jan, Wilkinson, Matthew, Wilmking, Martin, Wingate, Lisa, Winkler, Manuela, Wipf, Sonja, Wohlfahrt, Georg, Xenakis, Georgios, Yang, Yan, Yu, Zicheng, Yu, Kailiang, Zellweger, Florian, Zhang, Jian, Zhang, Zhaochen, Zhao, Peng, Ziemblińska, Klaudia, Zimmermann, Reiner, Zong, Shengwei, Zyryanov, Viacheslav I, Nijs, Ivan, and Lenoir, Jonathan

Abstract

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.

Published
2022

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