INVESTIGADORES
DIAZ Sandra Myrna
artículos
Título:
The Influence of Taxonomy and Environment on Leaf Trait Variation Along Tropical Abiotic Gradients
Autor/es:
OLIVERAS, IMMA; BENTLEY, LISA; FYLLAS, NIKOLAOS M.; GVOZDEVAITE, AGNE; SHENKIN, ALEXANDER FREDERICK; PEPRAH, THERESA; MORANDI, PAULO; PEIXOTO, KARINE SILVA; BOAKYE, MICKEY; ADU-BREDU, STEPHEN; SCHWANTES MARIMON, BEATRIZ; MARIMON JUNIOR, BEN HUR; SALINAS, NORMA; MARTIN, ROBERTA; ASNER, GREGORY; DÍAZ, SANDRA; ENQUIST, BRIAN J.; MALHI, YADVINDER
Revista:
Frontiers in Forests and Global Change
Editorial:
Frontiers Media S.A.
Referencias:
Año: 2020 vol. 3
Resumen:
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.