ForestClim-Bioclimatic variables for microclimate temperatures of European forests
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články
Grantová podpora
337552
Academy of Finland
ANR-19-CE32-0005-01
Agence Nationale de la Recherche
APVV-19-0319
Agentúra na Podporu Výskumu a Vývoja
RVO 67985939
Akademie Věd České Republiky
ANR-20-EBI5-0004
Biodiversa+
Défi INFINITI 2018: MORFO
Centre National de la Recherche Scientifique
FEVER / ETH-27 19-1
ETH Zürich
G018919N
Fonds Wetenschappelijk Onderzoek
G0H1517N
Fonds Wetenschappelijk Onderzoek
WOG W001919N
Fonds Wetenschappelijk Onderzoek
GAČR 20-28119S
Grantová Agentura České Republiky
757833
H2020 European Research Council
3E190655
KU Leuven
193645
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
20FI20_173691
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
20FI21_148992
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
TED2021-132627B-I00
Spanish government
FR CNRS 3417: CREUSE
Structure Fédérative de Recherche Condorcet
7510145
University of Helsinki
Flemish Government
PubMed
37128754
DOI
10.1111/gcb.16678
Knihovny.cz E-zdroje
- Klíčová slova
- ForestTemp, SoilTemp, biodiversity, boosted regression trees, climate change, ecosystem processes, forest microclimate, species distributions,
- MeSH
- ekosystém MeSH
- lesy MeSH
- mikroklima * MeSH
- stromy * MeSH
- teplota MeSH
- Publikační typ
- časopisecké články MeSH
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 × 25 m2 resolution.
CREAF Cerdanyola del Vallès 08193 Catalonia Spain
CSIC Global Ecology Unit CREAF CSIC UAB Bellaterra 08193 Catalonia Spain
Department of Earth and Environmental Sciences KU Leuven 3001 Leuven Celestijnenlaan 200E Belgium
Department of Ecology and Evolution University of Lausanne 1015 Lausanne Switzerland
Department of Environmental Systems Science ETH Zurich Universitaetstrasse 2 8092 Zurich Switzerland
Department of Forestry and Wood Technology Linnaeus University Växjö 351 95 Sweden
Environment and Sustainability Institute University of Exeter Penryn Campus Penryn TR10 9FE UK
European Commission Joint Research Centre Ispra Italy
Faculty of Forestry Technical University in Zvolen T G Masaryka 24 960 01 Zvolen Slovakia
Faculty of Science and Technology Free University of Bolzano 39100 Bolzano Italy
Finnish Meteorological Institute P O Box 503 FI 00101 Helsinki Finland
Forest Services Autonomous Province of Bolzano 39100 Bolzano Italy
Institute of Botany of the Czech Academy of Sciences Zámek 1 CZ 25243 Průhonice Czech Republic
Institute of Landscape Ecology University of Münster Münster Germany
KU Leuven Plant Institute KU Leuven Leuven Belgium
Musée et Jardins Botaniques Cantonaux 1007 Lausanne Switzerland
Research Group PLECO University of Antwerp 2610 Wilrijk Belgium
Swiss Federal Institute for Forest Snow and Landscape Research WSL Birmensdorf Switzerland
Wageningen University and Research Wageningen The Netherlands
Zobrazit více v PubMed
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018). TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific Data, 5(1), 170191. https://doi.org/10.1038/sdata.2017.191
Ashcroft, M. B., Chisholm, L. A., & French, K. O. (2008). The effect of exposure on landscape scale soil surface temperatures and species distribution models. Landscape Ecology, 23(2), 211-225. https://doi.org/10.1007/s10980-007-9181-8
De Frenne, P., Lenoir, J., Luoto, M., Scheffers, B. R., Zellweger, F., Aalto, J., Ashcroft, M. B., Christiansen, D. M., Decocq, G., De Pauw, K., Govaert, S., Greiser, C., Gril, E., Hampe, A., Jucker, T., Klinges, D. H., Koelemeijer, I. A., Lembrechts, J. J., Marrec, R., … Hylander, K. (2021). Forest microclimates and climate change: Importance, drivers and future research agenda. Global Change Biology, 27, 2279-2297. https://doi.org/10.1111/gcb.15569
De Lombaerde, E., Vangansbeke, P., Lenoir, J., Van Meerbeek, K., Lembrechts, J., Rodríguez-Sánchez, F., Luoto, M., Scheffers, B., Haesen, S., Aalto, J., Christiansen, D. M., De Pauw, K., Depauw, L., Govaert, S., Greiser, C., Hampe, A., Hylander, K., Klinges, D., Koelemeijer, I., … De Frenne, P. (2022). Maintaining forest cover to enhance temperature buffering under future climate change. Science of the Total Environment, 810, 151338. https://doi.org/10.1016/j.scitotenv.2021.151338
Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315. https://doi.org/10.1002/joc.5086
Geiger, R. (1950). The climate near the ground. Harvard University Press.
Gril, E., Spicher, F., Greiser, C., Ashcroft, M. B., Pincebourde, S., Durrieu, S., Nicolas, M., Richard, B., Decocq, G., Marrec, R., & Lenoir, J. (2023). Slope and equilibrium: A parsimonious and flexible approach to model microclimate. Methods in Ecology and Evolution, 14, 885-897. https://doi.org/10.1111/2041-210X.14048
Haesen, S., Lembrechts, J. J., De Frenne, P., Lenoir, J., Aalto, J., Ashcroft, M. B., Kopecký, M., Luoto, M., Maclean, I., Nijs, I., Niittynen, P., van den Hoogen, J., Arriga, N., Brůna, J., Buchmann, N., Čiliak, M., Collalti, A., De Lombaerde, E., Descombes, P., … Van Meerbeek, K. (2021). ForestTemp - Sub-canopy microclimate temperatures of European forests. Global Change Biology, 27, 6307-6309. https://doi.org/10.1111/gcb.15892
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850-853. https://doi.org/10.1126/science.1244693
Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the Earth's land surface areas. Scientific Data, 4(1), 170122. https://doi.org/10.1038/sdata.2017.122
Lembrechts, J. J., Aalto, J., Ashcroft, M. B., De Frenne, P., Kopecký, M., Lenoir, J., Luoto, M., Maclean, IMD, Roupsard, O., Fuentes-Lillo, E., García, R. A., Pellissier, L., Pitteloud, C., Alatalo, J. M., Smith, S. W., Björk, R. G., Muffler, L., Ratier Backes, A., Cesarz, S., … Nijs, I. (2020). SoilTemp: A global database of near-surface temperature. Global Change Biology, 26, 6616-6629. https://doi.org/10.1111/gcb.15123
Lembrechts, J. J., Nijs, I., & Lenoir, J. (2018). Incorporating microclimate into species distribution models. Ecography, 42, 1267-1279. https://doi.org/10.1111/ecog.03947
Lenoir, J., Graae, B. J., Aarrestad, P. A., Alsos, I. G., Armbruster, W. S., Austrheim, G., Bergendorff, C., Birks, H. J., Bråthen, K. A., Brunet, J., Bruun, H. H., Dahlberg, C. J., Decocq, G., Diekmann, M., Dynesius, M., Ejrnaes, R., Grytnes, J. A., Hylander, K., Klanderud, K., … Svenning, J.-C. (2013). Local temperatures inferred from plant communities suggest strong spatial buffering of climate warming across Northern Europe. Global Change Biology, 19(5), 1470-1481. https://doi.org/10.1111/gcb.12129
Lenoir, J., Hattab, T., & Pierre, G. (2017). Climatic microrefugia under anthropogenic climate change: Implications for species redistribution. Ecography, 40(2), 253-266. https://doi.org/10.1111/ecog.02788
Moreno, A., & Hasenauer, H. (2016). Spatial downscaling of European climate data. International Journal of Climatology, 36(3), 1444-1458. https://doi.org/10.1002/joc.4436
Potter, K. A., Arthur Woods, H., & Pincebourde, S. (2013). Microclimatic challenges in global change biology. Global Change Biology, 19(10), 2932-2939. https://doi.org/10.1111/gcb.12257
Pucher, C., & Neumann, M. (2022). Description and evaluation of downscaled daily climate data version 3. Figshare. https://doi.org/10.6084/m9.figshare.19070162.v1
R Core Team. (2021). R: A language and environment for statistical computing. https://www.r-project.org/
von Arx, G., Graf Pannatier, E., Thimonier, A., & Rebetez, M. (2013). Microclimate in forests with varying leaf area index and soil moisture: Potential implications for seedling establishment in a changing climate. Journal of Ecology, 101(5), 1201-1213. https://doi.org/10.1111/1365-2745.12121