Frontiers in Forests and Global Change (Mar 2020)

The Influence of Taxonomy and Environment on Leaf Trait Variation Along Tropical Abiotic Gradients

  • Imma Oliveras,
  • Lisa Bentley,
  • Nikolaos M. Fyllas,
  • Agne Gvozdevaite,
  • Alexander Frederick Shenkin,
  • Theresa Peprah,
  • Paulo Morandi,
  • Karine Silva Peixoto,
  • Mickey Boakye,
  • Mickey Boakye,
  • Stephen Adu-Bredu,
  • Beatriz Schwantes Marimon,
  • Ben Hur Marimon Junior,
  • Norma Salinas,
  • Roberta Martin,
  • Gregory Asner,
  • Sandra Díaz,
  • Brian J. Enquist,
  • Brian J. Enquist,
  • Yadvinder Malhi

DOI
https://doi.org/10.3389/ffgc.2020.00018
Journal volume & issue
Vol. 3

Abstract

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Deconstructing functional trait variation and co-variation across a wide range of environmental conditions is necessary to increase the mechanistic understanding of community assembly processes and improve current parameterization of dynamic vegetation models. Here, we present a study that deconstructs leaf trait variation and co-variation into within-species, taxonomic-, and plot-environment components along three tropical environmental gradients in Peru, Brazil, and Ghana. To do so, we measured photosynthetic, chemical, and structural leaf traits using a standardized sampling protocol for more than 1,000 individuals belonging to 367 species. Variation associated with the taxonomic component (species + genus + family) for most traits was relatively consistent across environmental gradients, but within-species variation and plot-environment variation was strongly dependent on the environmental gradient. Trait-trait co-variation was strongly linked to the environmental gradient where traits were measured, although some traits had consistent co-variation components irrespective of gradient. Our results demonstrate that filtering along these tropical gradients is mostly expressed through trait taxonomic variation, but that trait co-variation is strongly dependent on the local environment, and thus global trait co-variation relationships might not always apply at smaller scales and may quickly change under future climate scenarios.

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