Global trait–environment relationships of plant communities

Bruelheide Helge, Dengler Jürgen, Purschke Olivier, Lenoir Jonathan, Jiménez-Clavero Miguel Angel, Hennekens Stephan M., Botta-Dukát Zoltán, Chytrý Milan, Field Richard, Jansen Florian, Kattge Jens, Pillar Valério D., Schrodt Franziska, Mahecha Miguel D., Peet Robert K., Sandel Brody, Van Bodegom Peter, Altman Jan, Alvarez Davila Esteban, Arfin Khan Mohammed A. S., Attorre Fabio, Aubin Isabelle, Baraloto Christopher, Barroso Jorcely, Bauters Marijn, Bergmeier Erwin, Biurrun Idoia, Bjorkman Anne D., Blonder Benjamin, Carni Andraz, Cayuela Luis, Cerný Tomás, Cornelissen J. Hans C., Craven Dylan, Dainese Matteo, Derroire Géraldine, De Sanctis Michele, Diaz Sandra, Dolezal Jiri, Farfan-Rios William, Feldpausch Ted R., Fenton Nicole J., Garnier Eric, Guerin Gregory Richard, Gutiérrez Alvaro G., Haider Sylvia, Hattab Tarek, Henry Greg, Herault Bruno, et al.. 2018. Global trait–environment relationships of plant communities. Nature Ecology and Evolution, 2 : 1906-1917.

Quartile : Outlier, Sujet : ECOLOGY / Quartile : Outlier, Sujet : EVOLUTIONARY BIOLOGY

Résumé : 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

Classification Agris : F40 - Écologie végétale
F60 - Physiologie et biochimie végétale

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

• Bruelheide Helge, Martin Luther University (DEU) - auteur correspondant
• Dengler Jürgen, iDiv (DEU)
• Purschke Olivier, Martin Luther University (DEU)
• Lenoir Jonathan, UPJV (FRA)
• Jiménez-Clavero Miguel Angel, CISA (ESP)
• Hennekens Stephan M., Wageningen Environmental Research (NLD)
• Botta-Dukát Zoltán, MTA Centre for Ecological Research (HUN)
• Chytrý Milan, Masaryk University (CZE)
• Field Richard, University of Nottingham (GBR)
• Jansen Florian, University of Rostock (DEU)
• Kattge Jens, Max Planck Institut für Biogeochemie (DEU)
• Pillar Valério D., FURG (BRA)
• Schrodt Franziska, Max Planck Institut für Biogeochemie (DEU)
• Mahecha Miguel D., Max Planck Institut für Biogeochemie (DEU)
• Peet Robert K., North Carolina State University (USA)
• Sandel Brody, Santa Clara University (USA)
• Van Bodegom Peter, CML (NLD)
• Altman Jan, ASCR (CZE)
• Alvarez Davila Esteban, Universidad Nacional de Colombia (COL)
• Arfin Khan Mohammed A. S., Shahjalal University of Science and Technology (BGD)
• Attorre Fabio, Universita di Roma La Sapienza (ITA)
• Aubin Isabelle, Natural Resources Canada (CAN)
• Baraloto Christopher, Florida International University (USA)
• Barroso Jorcely, UFAC (BRA)
• Bauters Marijn, Ghent University (BEL)
• Bergmeier Erwin, Georg-August University of Göttingen (DEU)
• Biurrun Idoia, University of the Basque Country (ESP)
• Bjorkman Anne D., AU (DNK)
• Blonder Benjamin, University of Oxford (GBR)
• Carni Andraz, Center of the Slovenian Academy of Sciences and Arts (SVN)
• Cayuela Luis, Universidad Rey Juan Carlos (ESP)
• Cerný Tomás, CZU (CZE)
• Cornelissen J. Hans C., Vrije Universiteit (NLD)
• Craven Dylan, iDiv (DEU)
• Dainese Matteo, University of Würzburg (DEU)
• Derroire Géraldine, CIRAD-ES-UMR Ecofog (GUF) ORCID: 0000-0001-7239-2881
• De Sanctis Michele, Universita di Roma La Sapienza (ITA)
• Diaz Sandra, Universidad Nacional de Cordoba (ARG)
• Dolezal Jiri, Czech Academy of Sciences (CZE)
• Farfan-Rios William, Wake Forest University (USA)
• Feldpausch Ted R., University of Exeter (GBR)
• Fenton Nicole J., Université du Québec (CAN)
• Garnier Eric, CNRS (FRA)
• Guerin Gregory Richard, University of Adelaide (AUS)
• Gutiérrez Alvaro G., Universidad de Chile (CHL)
• Haider Sylvia, Martin Luther University (DEU)
• Hattab Tarek, CNRS (FRA)
• Henry Greg, University of British Columbia (CAN)
• Herault Bruno, CIRAD-ES-UPR Forêts et sociétés (CIV) ORCID: 0000-0002-6950-7286
• et al.

Source : Cirad-Agritrop (https://agritrop.cirad.fr/589527/)

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