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Journal Article

Predicting trait‐environment relationships for venation networks along an Andes‐Amazon elevation gradient

Benjamin Blonder; Norma Salinas; Lisa Patrick Bentley; Alexander Shenkin; Percy O. Chambi Porroa; Yolvi Valdez Tejeira; Cyrille Violle; Nikolaos M. Fyllas; Gregory R. Goldsmith; Roberta E. Martin; Gregory P. Asner; Sandra Díaz; Brian J. Enquist; Yadvinder Malhi
Ecology · Vol. 98, Issue 5 · pp. 1239-1255 · 2017

Abstract

Understanding functional trait‐environment relationships ( TER s) may improve predictions of community assembly. However, many empirical TER s have been weak or lacking conceptual foundation. TER s based on leaf venation networks may better link individuals and communities via hydraulic constraints. We report measurements of vein density, vein radius, and leaf thickness for more than 100 dominant species occurring in ten forest communities spanning a 3,300 m Andes‐Amazon elevation gradient in Peru. We use these data to measure the strength of TER s at community scale and to determine whether observed TER s are similar to those predicted by physiological theory. We found strong support for TER s between all traits and temperature, as well weaker support for a predicted TER between maximum abundance‐weighted leaf transpiration rate and maximum potential evapotranspiration. These results provide one approach for developing a more mechanistic trait‐based community assembly theory.

Bibliographic Information

JournalEcology
PublisherWiley
Publication Date2017-05-01
Publication Year2017
Volume98
Issue5
Pages1239-1255
Document TypeJournal Article
Print ISSN0012-9658
eISSN1939-9170
DOI10.1002/ecy.1747
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://esajournals.onlinelibrary.wiley.com/loi/19399170
Publisher PageOpen Publisher Page
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