Global trait–environment relationships of plant communities

Helge Bruelheide*, Jürgen Dengler, Oliver Purschke, Jonathan Lenoir, Borja Jiménez-Alfaro, Stephan M. Hennekens, Zoltán Botta-Dukát, Milan Chytrý, Richard Field, Florian Jansen, Jens Kattge, Valério D. Pillar, Franziska Schrodt, Miguel D. Mahecha, Robert K. Peet, Brody Sandel, Peter van Bodegom, Jan Altman, Esteban Alvarez-Dávila, Mohammed A.S. Arfin KhanFabio Attorre, Isabelle Aubin, Christopher Baraloto, Jorcely G. Barroso, Marijn Bauters, Erwin Bergmeier, Idoia Biurrun, Anne D. Bjorkman, Benjamin Blonder, Andraž Čarni, Luis Cayuela, Tomáš Černý, J.H.C. Cornelissen, Dylan Craven, Matteo Dainese, Géraldine Derroire, Michele De Sanctis, Sandra Díaz, Jiří Doležal, William Farfan-Rios, Ted R. Feldpausch, Nicole J. Fenton, Eric Garnier, Greg R. Guerin, Alvaro G. Gutiérrez, Sylvia Haider, Tarek Hattab, Greg Henry, Bruno Hérault, Wim A. Ozinga

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

369 Citations (Scopus)


Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait–environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Original languageEnglish
Pages (from-to)1906-1917
Number of pages12
JournalNature Ecology and Evolution
Issue number12
Publication statusPublished - 19 Nov 2018


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