Predicting trait-environment relationships for venation networks along an Andes-Amazon elevation gradient
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Blonder_et_al-2017-Ecology.pdf
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Author
Blonder, BenjaminSalinas, Norma
Patrick Bentley, Lisa
Shenkin, Alexander
Chambi Porroa, Percy O
Valdez Tejeira, Yolvi
Violle, Cyrille
Fyllas, Nikolaos M
Goldsmith, Gregory R
Martin, Robert E
Asner, Gregory P
Díaz, Sandra
Enquist, Brian J
Malhi, Yadvinder
Affiliation
Univ Arizona, Dept Ecol & Evolutionary BiolIssue Date
2017-01-25Keywords
Amazon basinAndes
abundance-weighting
community assembly
community-weighted mean
conductance
environmental filtering
functional trait
leaf thickness
trait-environment relationship
vein density
vein radius
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WILEY-BLACKWELLCitation
Blonder, B., Salinas, N., Patrick Bentley, L., Shenkin, A., Chambi Porroa, P. O., Valdez Tejeira, Y., ... & Asner, G. P. (2017). Predicting trait‐environment relationships for venation networks along an Andes‐Amazon elevation gradient. Ecology, 98(5), 1239-1255.Journal
ECOLOGYRights
Copyright © 2017 by the Ecological Society of America.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Understanding functional trait‐environment relationships (TERs) may improve predictions of community assembly. However, many empirical TERs have been weak or lacking conceptual foundation. TERs 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 TERs at community scale and to determine whether observed TERs are similar to those predicted by physiological theory. We found strong support for TERs 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.ISSN
0012-9658PubMed ID
28122124DOI
10.1002/ecy.1747Version
Final published versionSponsors
UK Natural Environment Research Council [NE/J023418/1, NE/M019160/1]; European Research Council [321131, 291585]; John D. and Catherine T. MacArthur Foundation; United States National Science Foundation [DEB-1209287]; National Science Foundation [DEB-1146206, Macrosystems-1065861, DEB-1457812]; Jackson Foundation; Leverhulme Trust (UK); Inter-American Institute for Global Change Research; FONCyT; CONICET (Argentina); European Community [290605, 221060]; European Research Council (ERC) [StG-2014-639706-CONSTRAINTS]ae974a485f413a2113503eed53cd6c53
10.1002/ecy.1747
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