Seasonal drivers of understorey temperature buffering in temperate deciduous forests across Europe.

Autor: Zellweger F; Forest Ecology and Conservation Group, Department of Plant Sciences University of Cambridge Cambridge UK.; Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland., Coomes D; Forest Ecology and Conservation Group, Department of Plant Sciences University of Cambridge Cambridge UK., Lenoir J; UR 'Ecologie et dynamique des systèmes anthropisés' (EDYSAN, UMR 7058 CNRS-UPJV) Université de Picardie Jules Verne Amiens France., Depauw L; Forest & Nature Lab, Department of Environment Ghent University Melle-Gontrode Belgium., Maes SL; Forest & Nature Lab, Department of Environment Ghent University Melle-Gontrode Belgium., Wulf M; Leibniz-ZALF e.V. Müncheberg Müncheberg Germany., Kirby KJ; Department of Plant Sciences University of Oxford Oxford UK., Brunet J; Southern Swedish Forest Research Centre Swedish University of Agricultural Sciences Alnarp Sweden., Kopecký M; Institute of Botany Czech Academy of Sciences Průhonice Czech Republic.; Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Czech Republic., Máliš F; Faculty of Forestry Technical University in Zvolen Zvolen Slovakia., Schmidt W; Department Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany., Heinrichs S; Department Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany., den Ouden J; Forest Ecology and Forest Management Group Wageningen University Wageningen The Netherlands., Jaroszewicz B; Białowieża Geobotanical Station Faculty of Biology University of Warsaw Białowieża Poland., Buyse G; Forest & Nature Lab, Department of Environment Ghent University Melle-Gontrode Belgium., Spicher F; UR 'Ecologie et dynamique des systèmes anthropisés' (EDYSAN, UMR 7058 CNRS-UPJV) Université de Picardie Jules Verne Amiens France., Verheyen K; Forest & Nature Lab, Department of Environment Ghent University Melle-Gontrode Belgium., De Frenne P; Forest & Nature Lab, Department of Environment Ghent University Melle-Gontrode Belgium.
Jazyk: angličtina
Zdroj: Global ecology and biogeography : a journal of macroecology [Glob Ecol Biogeogr] 2019 Dec; Vol. 28 (12), pp. 1774-1786. Date of Electronic Publication: 2019 Aug 22.
DOI: 10.1111/geb.12991
Abstrakt: Aim: Forest understorey microclimates are often buffered against extreme heat or cold, with important implications for the organisms living in these environments. We quantified seasonal effects of understorey microclimate predictors describing canopy structure, canopy composition and topography (i.e., local factors) and the forest patch size and distance to the coast (i.e., landscape factors).
Location: Temperate forests in Europe.
Time Period: 2017-2018.
Major Taxa Studied: Woody plants.
Methods: We combined data from a microclimate sensor network with weather-station records to calculate the difference, or offset, between temperatures measured inside and outside forests. We used regression analysis to study the effects of local and landscape factors on the seasonal offset of minimum, mean and maximum temperatures.
Results: The maximum temperature during the summer was on average cooler by 2.1 °C inside than outside forests, and the minimum temperatures during the winter and spring were 0.4 and 0.9 °C warmer. The local canopy cover was a strong nonlinear driver of the maximum temperature offset during summer, and we found increased cooling beneath tree species that cast the deepest shade. Seasonal offsets of minimum temperature were mainly regulated by landscape and topographic features, such as the distance to the coast and topographic position.
Main Conclusions: Forest organisms experience less severe temperature extremes than suggested by currently available macroclimate data; therefore, climate-species relationships and the responses of species to anthropogenic global warming cannot be modelled accurately in forests using macroclimate data alone. Changes in canopy cover and composition will strongly modulate the warming of maximum temperatures in forest understories, with important implications for understanding the responses of forest biodiversity and functioning to the combined threats of land-use change and climate change. Our predictive models are generally applicable across lowland temperate deciduous forests, providing ecologically important microclimate data for forest understories.
(© 2019 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
Externí odkaz: