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Phenotypic constraints and community structure: Linking trade‐offs within and among species
Author(s) -
Angert Amy L.,
Kimball Sarah,
DeMarche Megan L.,
Huxman Travis E.,
Venable David L.
Publication year - 2014
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.12514
Subject(s) - biology , trait , trade off , ecology , ecological selection , relative species abundance , abundance (ecology) , selection (genetic algorithm) , artificial intelligence , computer science , programming language
Trade‐offs are central to many topics in biology, from the evolution of life histories to ecological mechanisms of species coexistence. Trade‐offs observed among species may reflect pervasive constraints on phenotypes that are achievable given biophysical and resource limitations. If so, then among‐species trade‐offs should be consistent with trade‐offs within species. Alternatively, trait variation among co‐occurring species may reflect historical contingencies during community assembly rather than within‐species constraints. Here, we test whether a key trade‐off between relative growth rate (RGR) and water‐use efficiency (WUE) among Sonoran Desert winter annual plants is apparent within four species representing different strategies in the system. We grew progeny of maternal families from multiple populations in a greenhouse common garden. One species, Pectocarya recurvata , displayed the expected RGR–WUE trade‐off among families within populations. For other species, although RGR and WUE often varied clinally among populations, among‐family variation within populations was lacking, implicating a role for past selection on these traits. Our results suggest that a combination of limited genetic variation in single traits and negative trait correlations could pose constraints on the evolution of a high‐RGR and high‐WUE phenotype within species, providing a microevolutionary explanation for phenotypes that influence community‐level patterns of abundance and coexistence.

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