Climate regulation processes are linked to the functional composition of plant communities in European forests, shrublands, and grasslands.
2 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
3 MU / MUNI - Masaryk University [Brno] = Masarykova univerzita [Brno] = Université Masaryk [Brno]
4 WSL Lausanne
5 UPV / EHU - Universidad del País Vasco [Espainia] / Euskal Herriko Unibertsitatea [España] = University of the Basque Country [Spain] = Université du pays basque [Espagne]
6 University Hospital of Siena
7 UNIMOL - Università degli Studi del Molise = University of Molise
8 UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna [Bologne]
9 Universität Bayreuth [Deutschland] = University of Bayreuth [Germany] = Université de Bayreuth [Allemagne]
10 ISIGE - Institut Supérieur d'Ingénierie et de Gestion de l'Environnement
11 Institute of Ecology of the Volga River Basin, Russian Academy of Science
12 Skane University Hospital [Lund]
13 Philips Research Europe - Hamburg, Sector Medical Imaging Systems
14 UTAS - University of Tasmania [Hobart]
15 Universidad de Oviedo = University of Oviedo
16 Swiss Federal Institute for Forest, Snow and Landscape Research WSL
17 Nature Research Centre [Vilnius]
18 LU - University of Latvia
19 ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
20 NBFC - National Biodiversity Future Center
21 USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc
22 LECA - Laboratoire d'Ecologie Alpine
23 Swiss Federal Research Institute
24 iDiv - German Centre for Integrative Biodiversity Research
- Fonction : Auteur
- PersonId : 11186
- IdHAL : emmanuel-garbolino
- ORCID : 0000-0002-4954-6069
- IdRef : 061093807
- Fonction : Auteur
- PersonId : 798067
- ORCID : 0000-0001-7770-6229
Résumé
Terrestrial ecosystems affect climate by reflecting solar irradiation, evaporative cooling, and carbon sequestration. Yet very little is known about how plant traits affect climate regulation processes (CRPs) in different habitat types. Here, we used linear and random forest models to relate the community-weighted mean and variance values of 19 plant traits (summarized into eight trait axes) to the climate-adjusted proportion of reflected solar irradiation, evapotranspiration, and net primary productivity across 36,630 grid cells at the European extent, classified into 10 types of forest, shrubland, and grassland habitats. We found that these trait axes were more tightly linked to log evapotranspiration (with an average of 6.2% explained variation) and the proportion of reflected solar irradiation (6.1%) than to net primary productivity (4.9%). The highest variation in CRPs was explained in forest and temperate shrubland habitats. Yet, the strength and direction of these relationships were strongly habitat-dependent. We conclude that any spatial upscaling of the effects of plant communities on CRPs must consider the relative contribution of different habitat types.