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Identifying the tree species compositions that maximize ecosystem functioning in European forests

Lander Baeten 1 Helge Bruelheide 2 Fons van der Plas 3 Stephan Kambach 2 Sophia Ratcliffe 4 Tommaso Jucker 5 Eric Allan 6 Evy Ampoorter 1 Luc Barbaro 7 Cristina C. Bastias 8 Jürgen Bauhus 9 Raquel Benavides 8 Damien Bonal 10 Olivier Bouriaud 11 Filippo Bussotti 12 Monique Carnol 13 Bastien Castagneyrol 14 Yohan Charbonnier 15 Ewa Chećko 16 David Anthony Coomes 5 Jonas Dahlgren 17 Seid Muhie Dawud 18 Hans de Wandeler 19 Timo Domisch 20 Leena Finér 20 Markus Fischer 6 Mariangela Fotelli 21 Arthur Gessler 22 Charlotte Grossiord 23 Virginie Guyot 14 Stephan Hättenschwiler 24, 25 Herve Jactel 14 Bogdan Jaroszewicz 26 François-Xavier Joly 24, 25 Julia Koricheva 27 Aleksi Lehtonen 20 Sandra Müller 28 Bart Muys 19 Diem Nguyen 29 Martina Pollastrini 12 Kalliopi Radoglou 30 Karsten Raulund-Rasmussen 31 Paloma Ruiz-Benito 32 Federico Selvi 12 Jan Stenlid 29 Fernando Valladares 8 Lars Vesterdal 31 Kris Verheyen 1 Christian Wirth 3 Miguel A. Zavala 32 Michael Scherer-Lorenzen 28
25 EPHE
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : 1. Forest ecosystem functioning generally benefits from higher tree species richness, but variation within richness levels is typically large. This is mostly due to the contrasting performances of communities with different compositions. Evidencebased understanding of composition effects on forest productivity, as well as on multiple other functions will enable forest managers to focus on the selection of species that maximize functioning, rather than on diversity per se. 2. We used a dataset of 30 ecosystem functions measured in stands with different species richness and composition in six European forest types. First, we quantified whether the compositions that maximize annual above-ground wood production (productivity) generally also fulfil the multiple other ecosystem functions (multifunctionality). Then, we quantified the species identity effects and strength of interspecific interactions to identify the “best” and “worst” species composition for multifunctionality. Finally, we evaluated the real-world frequency of occurrence of best and worst mixtures, using harmonized data from multiple national forest inventories. 3. The most productive tree species combinations also tended to express relatively high multifunctionality, although we found a relatively wide range of compositions with high- or low-average multifunctionality for the same level of productivity. Monocultures were distributed among the highest as well as the lowest performing compositions. The variation in functioning between compositions was generally driven by differences in the performance of the component species and, to a lesser extent, by particular interspecific interactions. Finally, we found that the most frequent species compositions in inventory data were monospecific stands and that the most common compositions showed below-average multifunctionality and productivity. 4. Synthesis and applications. Species identity and composition effects are essential to the development of high-performing production systems, for instance in forestry and agriculture. They therefore deserve great attention in the analysis and design of functional biodiversity studies if the aim is to inform ecosystem management. A management focus on tree productivity does not necessarily trade-off against other ecosystem functions; high productivity and multifunctionality can be combined with an informed selection of tree species and species combinations.
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Submitted on : Wednesday, May 27, 2020 - 2:08:21 AM
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Lander Baeten, Helge Bruelheide, Fons van der Plas, Stephan Kambach, Sophia Ratcliffe, et al.. Identifying the tree species compositions that maximize ecosystem functioning in European forests. Journal of Applied Ecology, Wiley, 2019, 56 (3), pp.733-744. ⟨10.1111/1365-2664.13308⟩. ⟨hal-02629130⟩

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