Long-term response of forest productivity to climate change is mostly driven by change in tree species composition
Morin, Xavier (Institute of Terrestrial Ecosystems ETH Zürich)
Fahse, Lorenz (University of Koblenz-Landau)
Jactel, Hervé (Université Bordeaux)
Scherer-Lorenzen, Michael (University of Freiburg)
García-Valdés, Raúl (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Bugmann, Harald (Institute of Terrestrial Ecosystems ETH Zürich)
Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia

Data:	2018
Resum:	Climate change affects ecosystem functioning directly through impacts on plant physiology, resulting in changes of global productivity. However, climate change has also an indirect impact on ecosystems, through changes in the composition and diversity of plant communities. The relative importance of these direct and indirect effects has not been evaluated within a same generic approach yet. Here we took advantage of a novel approach for disentangling these two effects in European temperate forests across a large climatic gradient, through a large simulation-based study using a forest succession model. We first showed that if productivity positively correlates with realized tree species richness under a changed climate, indirect effects appear pivotal to understand the magnitude of climate change impacts on forest productivity. We further detailed how warmer and drier conditions may affect the diversity-productivity relationships (DPRs) of temperate forests in the long term, mostly through effects on species recruitment, ultimately enhancing or preventing complementarity in resource use. Furthermore, losing key species reduced the strength of DPRs more severely in environments that are becoming climatically harsher. By disentangling direct and indirect effects of climate change on ecosystem functioning, these findings explain why high-diversity forests are expected to be more resilient to climate change.
Ajuts:	European Commission 226299
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Scientific reports, Vol. 8 (April 2018) art. 5627, ISSN 2045-2322

DOI: 10.1038/s41598-018-23763-y
PMID: 29618754

12 p, 2.2 MB

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