Global trait–environment relationships of plant communities View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-19

AUTHORS

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 Khan, Fabio 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. Hans 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, Pedro Higuchi, Norbert Hölzel, Jürgen Homeier, Anke Jentsch, Norbert Jürgens, Zygmunt Kącki, Dirk N. Karger, Michael Kessler, Michael Kleyer, Ilona Knollová, Andrey Y. Korolyuk, Ingolf Kühn, Daniel C. Laughlin, Frederic Lens, Jacqueline Loos, Frédérique Louault, Mariyana I. Lyubenova, Yadvinder Malhi, Corrado Marcenò, Maurizio Mencuccini, Jonas V. Müller, Jérôme Munzinger, Isla H. Myers-Smith, David A. Neill, Ülo Niinemets, Kate H. Orwin, Wim A. Ozinga, Josep Penuelas, Aaron Pérez-Haase, Petr Petřík, Oliver L. Phillips, Meelis Pärtel, Peter B. Reich, Christine Römermann, Arthur V. Rodrigues, Francesco Maria Sabatini, Jordi Sardans, Marco Schmidt, Gunnar Seidler, Javier Eduardo Silva Espejo, Marcos Silveira, Anita Smyth, Maria Sporbert, Jens-Christian Svenning, Zhiyao Tang, Raquel Thomas, Ioannis Tsiripidis, Kiril Vassilev, Cyrille Violle, Risto Virtanen, Evan Weiher, Erik Welk, Karsten Wesche, Marten Winter, Christian Wirth, Ute Jandt

ABSTRACT

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. More... »

PAGES

1-12

Journal

TITLE

Nature Ecology & Evolution

ISSUE

N/A

VOLUME

N/A

Author Affiliations

  • German Center for Integrative Biodiversity Research
  • University of Bayreuth
  • University of Picardie Jules Verne
  • University of Oviedo
  • MTA Centre for Ecological Research
  • Masaryk University
  • University of Nottingham
  • University of Rostock
  • Max Planck Institute for Biogeochemistry
  • Federal University of Rio Grande do Sul
  • University of North Carolina at Chapel Hill
  • Santa Clara University
  • Leiden University
  • Institute of Botany
  • Sapienza University of Rome
  • Canadian Forest Service
  • Florida International University
  • Universidade Federal do Acre
  • Ghent University
  • University of Göttingen
  • University of the Basque Country
  • Aarhus University
  • Rocky Mountain Biological Laboratory
  • University of Nova Gorica
  • King Juan Carlos University
  • Czech University of Life Sciences Prague
  • VU University Amsterdam
  • Helmholtz Centre for Environmental Research
  • University of Würzburg
  • National University of Córdoba
  • National University of Saint Anthony the Abbot in Cuzco
  • University of Exeter
  • Université du Québec en Abitibi-Témiscamingue
  • Centre d'Ecologie Fonctionnelle et Evolutive
  • University of Adelaide
  • University of Chile
  • University of British Columbia
  • University of Montpellier
  • Universidade do Estado de Santa Catarina
  • University of Münster
  • University of Hamburg
  • University of Wrocław
  • Swiss Federal Institute for Forest, Snow and Landscape Research
  • University of Zurich
  • Carl von Ossietzky University of Oldenburg
  • Central Siberian Botanical Garden
  • University of Wyoming
  • French National Institute for Agricultural Research
  • Sofia University
  • University of Oxford
  • Centre for Research on Ecology and Forestry Applications
  • University of Edinburgh
  • Universidad Estatal Amazónica
  • Estonian University of Life Sciences
  • Landcare Research
  • Radboud University Nijmegen
  • Centro de Estudios Avanzados de Blane
  • University of Leeds
  • University of Tartu
  • Western Sydney University
  • Friedrich Schiller University Jena
  • Universidade Regional de Blumenau
  • Martin Luther University Halle-Wittenberg
  • University of La Serena
  • Peking University
  • Aristotle University of Thessaloniki
  • Institute of Biodiversity and Ecosystem Research
  • University of Oulu
  • University of Wisconsin–Eau Claire
  • TU Dresden
  • Leipzig University
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41559-018-0699-8

    DOI

    http://dx.doi.org/10.1038/s41559-018-0699-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1107954786

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30455437


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