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    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, Benjamin
    Salinas, 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
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    Affiliation
    Univ Arizona, Dept Ecol & Evolutionary Biol
    Issue Date
    2017-01-25
    Keywords
    Amazon basin
    Andes
    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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    Metadata
    Show full item record
    Publisher
    WILEY-BLACKWELL
    Citation
    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
    ECOLOGY
    Rights
    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
    0012-9658
    PubMed ID
    28122124
    DOI
    10.1002/ecy.1747
    Version
    Final published version
    Sponsors
    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
    Scopus Count
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    UA Faculty Publications

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