4.4 Article

The Evolution of Foraging Rate across Local and Geographic Gradients in Predation Risk and Competition

Journal

AMERICAN NATURALIST
Volume 186, Issue 1, Pages E16-E32

Publisher

UNIV CHICAGO PRESS
DOI: 10.1086/681716

Keywords

optimal foraging; local adaptation; trophic interactions; common-garden experiments; geographic gradients

Funding

  1. National Science Foundation [DEB-1119877]
  2. James S. McDonnell Foundation
  3. University of Connecticut large faculty grant
  4. Direct For Biological Sciences
  5. Division Of Environmental Biology [1119887] Funding Source: National Science Foundation

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Multiple theories predict the evolution of foraging rates in response to environmental variation in predation risk, intraspecific competition, time constraints, and temperature. We tested six hypotheses for the evolution of foraging rate in 24 spotted salamander (Ambystoma maculatum) populations from three latitudinally divergent sites using structural equation models derived from theory and applied to our system. We raised salamander larvae in a common-garden experiment and then assayed foraging rate under controlled conditions. Gape-limited predation risk from marbled salamanders solely explained foraging rate variation among populations at the southern site, which was dominated by this form of selection. However, at the middle and northern sites, populations evolved different foraging rates depending on their unique responses to local intraspecific density. The coupling of gape-limited predation risk from marbled salamanders and high intraspecific density at the middle site jointly contributed to selection for rapid foraging rate. At the northernmost site, intraspecific density alone explained 97% of the interpopulation variation in foraging rate. These results suggest that foraging rate has evolved multiple times in response to varying contributions from predation risk and intraspecific competition. Predation risk often varies along environmental gradients, and, thus, organisms might often shift evolutionary responses from minimizing predation risk to maximizing intraspecific competitive performance.

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