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Spatial patterns and climate relationships of major plant traits in the New World differ between woody and herbaceous species

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  • Irena Šímová, Charles University Prague
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  • Cyrille Violle, Ecole Pratique des Hautes Etudes
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  • Jens Christian Svenning
  • Jens Kattge, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • ,
  • Kristine Engemann
  • Brody Sandel
  • Robert K. Peet, 1] The Bioinformatics Centre, Department of Biology & Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaloes Vej 5, DK-2200 Copenhagen, Denmark [2] Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • ,
  • Susan K. Wiser, Manaaki Whenua - Landcare Research
  • ,
  • Benjamin Blonder, Arizona State University
  • ,
  • Brian J. Mcgill, University of Maine
  • ,
  • Brad Boyle, Hardner and Gullison Associates, LLC Amherst
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  • Naia Morueta-Holme, Center for Macroecology, Evolution, and Climate, Copenhagen University
  • ,
  • Nathan J.B. Kraft, University California Los Angeles
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  • Peter M. van Bodegom, Leiden University
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  • Alvaro G. Gutiérrez, Universidad Austral de Chile
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  • Michael Bahn, Innsbruck University
  • ,
  • Wim A. Ozinga, Radboud University Nijmegen
  • ,
  • Anna Tószögyová, Charles University Prague
  • ,
  • Brian J. Enquist, Santa Fe Institute

Aim: Despite several recent efforts to map plant traits and to identify their climatic drivers, there are still major gaps. Global trait patterns for major functional groups, in particular, the differences between woody and herbaceous plants, have yet to be identified. Here, we take advantage of big data efforts to compile plant species occurrence and trait data to analyse the spatial patterns of assemblage means and variances of key plant traits. We tested whether these patterns and their climatic drivers are similar for woody and herbaceous plants. Location: New World (North and South America). Methods: Using the largest currently available database of plant occurrences, we provide maps of 200 × 200 km grid-cell trait means and variances for both woody and herbaceous species and identify environmental drivers related to these patterns. We focus on six plant traits: maximum plant height, specific leaf area, seed mass, wood density, leaf nitrogen concentration and leaf phosphorus concentration. Results: For woody assemblages, we found a strong climate signal for both means and variances of most of the studied traits, consistent with strong environmental filtering. In contrast, for herbaceous assemblages, spatial patterns of trait means and variances were more variable, the climate signal on trait means was often different and weaker. Main conclusion: Trait variations for woody versus herbaceous assemblages appear to reflect alternative strategies and differing environmental constraints. Given that most large-scale trait studies are based on woody species, the strikingly different biogeographic patterns of herbaceous traits suggest that a more synthetic framework is needed that addresses how suites of traits within and across broad functional groups respond to climate.

Original languageEnglish
JournalJournal of Biogeography
Volume45
Issue4
Pages (from-to)895-916
Number of pages22
ISSN0305-0270
DOIs
Publication statusPublished - Apr 2018

    Research areas

  • BIEN database, Environmental filtering, Functional biogeography, Growth form, Habit, Macroecology, Plant functional traits, Plant functional types, TRY database

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