|Document Type:||Journal Article|
|Title:||Hierarchical analysis of phylogenetic variation in intraspecific competition across fish species|
|Author:||Andy Foss-Grant, Elise Zipkin, James T. Thorson, Olaf Jensen, W. Fagan|
|Keywords:||Intraspecific competition, Stock-recruitment, Density-dependence, Hierarchical model,|
The nature and intensity of intraspecific competition can vary greatly among taxa, yet similarities in these interactions can lead to shared population dynamics among related organisms. Variation along the spectrum of intraspecific competition, with contest and scramble competition as endpoints, leads to vastly different responses to population density. Here we investigated the diversity of intraspecific competition within fish phylogenies, predicting that functional forms of density-dependent reproduction would be conserved in related taxa. Using a hierarchical model that links stock-recruitment parameters among populations, species, and orders, we found that density-dependence, and therefore the type of intraspecific competition, is tightly clustered within taxonomic groupings, as species within an order share similar degrees of compensation. Specifically, species within the orders Salmoniformes and Pleuronectiformes exhibited density-dependence indicative of scramble competition (overcompensation) while the orders Clupeiformes, Gadiformes, Perciformes, and Scorpaeniformes exhibited dynamics consistent with contest competition (compensation). Maximum potential recruitment also varied among orders, but with less clustering across species. We also tested whether stock-recruitment parameters correlated with maximum body length among species, but found no strong relationship. Our results suggest that much of the variation in density-dependent reproduction among fish species may be predicted phylogenetically due to evolved life history traits and reproductive behaviors.
|Full Text URL:||http://onlinelibrary.wiley.com/doi/10.1890/15-0733.1/full|
|Theme:||Recovery and rebuilding of marine and coastal species|
Characterize the population biology of species, and develop and improve methods for predicting the status of populations.
Develop methods to use physiological, biological and behavioral information to predict population-level processes.