Microgeographic evolution of metabolic physiology in a salamander metapopulation. Issue 11 (16th October 2021)

• Record Type: Journal Article
• Authors: Giery, Sean T.; Drake, Dana L.; Urban, Mark C.
• Is Part Of: Ecology. Volume 102:Issue 11(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-10-16
• Subjects: Ambystoma maculatum -- amplify -- eco‐evolutionary -- interference competition -- metabolic theory of ecology -- microevolution -- pace‐of‐life -- positive feedback -- standard metabolic rate; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.3488
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: The Metabolic Theory of Ecology explains ecological variation spanning taxonomic organization, space, and time based on universal physiological relationships. The theory depends on two core parameters: the normalization constant, a mass‐independent measure of metabolic rate expected to be invariant among similar species, and the scaling coefficient, a measure of metabolic change with body mass commonly assumed to follow the universal 3/4 scaling law. However, emerging evidence for adaptive microevolution of metabolic rates led us to hypothesize that metabolic rate might exhibit evolved variation among populations on microgeographic scales. To evaluate our hypothesis, we explored evidence for evolved variation in the scaling coefficient and normalization constant within a spotted salamander ( Ambystoma maculatum ) metapopulation in Connecticut, USA. We measured standard metabolic rate in common‐garden raised spotted salamanders from 22 different populations and tested for the effects of six ecological variables suspected in advance to select for divergent physiology. We found that metabolic rate rose with body mass with a log‐log slope of 0.97 that was statistically different from the expected 3/4 scaling law. Although we found no evidence for interpopulation variation in the scaling coefficient, we found evidence for interpopulation variation in the normalization constants among populations. Metabolic variation was best explained by differences in population density among ponds. Our results provide mixed support for Metabolic Theory of Ecology assumptions about parameter invariance and illustrate how fundamental physiological processes such as metabolic rate can evolve across microgeographic spatial scales.