2016
DOI: 10.1093/aob/mcw097
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Geographic consistency and variation in conflicting selection generated by pollinators and seed predators

Abstract: These results indicate opposing selection in operation: pollinators generated selection for greater floral exsertion beyond the bracts, but seed predators generated selection for reduced exsertion above the protective pools of water, although the strength of the latter varied across populations.

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Cited by 17 publications
(24 citation statements)
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“…Ehrlén & Münzbergová, 2009;Leimu et al, 2012;Sun et al, 2016;Thomsen & Sargent, 2017). Ehrlén & Münzbergová, 2009;Leimu et al, 2012;Sun et al, 2016;Thomsen & Sargent, 2017).…”
Section: Introductionunclassified
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“…Ehrlén & Münzbergová, 2009;Leimu et al, 2012;Sun et al, 2016;Thomsen & Sargent, 2017). Ehrlén & Münzbergová, 2009;Leimu et al, 2012;Sun et al, 2016;Thomsen & Sargent, 2017).…”
Section: Introductionunclassified
“…Plant interactions with herbivores represent important selection pressure on various plant traits, including those related to plant growth, reproduction, and production of various metabolites (e.g. Ehrlén & Münzbergová, 2009;Leimu et al, 2012;Sun et al, 2016;Thomsen & Sargent, 2017). To deal with herbivory, plants have evolved a wide range of defence mechanisms, 666 Marcela Kuglerová et al 2016;Münzbergová & Skuhrovec, 2017).…”
Section: Introductionmentioning
confidence: 99%
“… AIC, Akaike information criterion and BIC, Bayesian information criterion. We used model selection to evaluate the models that were lowest finite sample‐corrected, and AIC was used to select the best model (see Sun et al., ). …”
Section: Resultsmentioning
confidence: 99%
“…Model 1 (fixed = anther tempera- square root-transformed to normalize model residuals (Waser & Price, 2016). The lowest finite sample-corrected Akaike information criteria were used to indicate the best model (Sun, Armbruster, & Huang, 2016). Calculations were performed via the glmer function in the lme4 package (Bates, Maechler, & Bolker, 2011), and the glmulti package (Calcagno, 2011) in R (R Development Core Team, 2011).…”
Section: Discussionmentioning
confidence: 99%
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