Data from: Energetic and Ecological Constraints on Population Density of Reef Fishes

Population ecology has classically focused on pairwise species interactions, hindering the description of general patterns and processes of population abundance at large spatial scales. Here we use the Metabolic Theory of Ecology as a framework to formulate and test a model that yields predictions l...

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Bibliographic Details
Main Authors: Barneche, Diego R., Kulbicki, Michel, Floeter, Sergio R., Friedlander, Alan M., Allen, Andrew P.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10255/dryad.105351
https://doi.org/10.5061/dryad.j2qr4
Description
Summary:Population ecology has classically focused on pairwise species interactions, hindering the description of general patterns and processes of population abundance at large spatial scales. Here we use the Metabolic Theory of Ecology as a framework to formulate and test a model that yields predictions linking population density to the physiological constraints of body size and temperature on individual metabolism, and the ecological constraints of trophic structure and species richness on energy partitioning among species. Our model was tested by applying Bayesian quantile regression to a comprehensive reef-fish community database, from which we extracted density data for 5609 populations spread across 49 sites around the world. Our results indicate that population density declines markedly with increases in community species richness and that, after accounting for richness, energetic constraints are manifested most strongly for the most abundant species, which generally are of small body size and occupy lower trophic groups. Overall, our findings suggest that, at the global scale, factors associated with community species richness are the major drivers of variation in population density. Given that populations of species-rich tropical systems exhibit markedly lower maximum densities, they may be particularly susceptible to stochastic extinction.