Phenotypic variation and selective mortality as major drivers of recruitment variability in fishes

Selection differential equation over image of fish
TitlePhenotypic variation and selective mortality as major drivers of recruitment variability in fishes
Publication TypeJournal Article
Year of Publication2014
AuthorsJohnson D.W, Grorud-Colvert K., Sponaugle S., Semmens B.X
JournalEcology Letters
Volume17
Pagination743-755
Date Published2014/09
Type of ArticleReview
ISBN Number1461-023X
Accession NumberWOS:000335197400011
Keywordscod gadus-morhua; coral-reef fish; Density-dependent selection; early-life history; eco-evolutionary dynamics; fitness surface; marine fish; multivariate selection; natural selection; natural-selection; population dynamics; postsettlement survival; rapid evolution; stock-recruit relationships; wild bird population
Abstract

An individual's phenotype will usually influence its probability of survival. However, when evaluating the dynamics of populations, the role of selective mortality is not always clear. Not all mortality is selective, patterns of selective mortality may vary, and it is often unknown how selective mortality compares or interacts with other sources of mortality. As a result, there is seldom a clear expectation for how changes in the phenotypic composition of populations will translate into differences in average survival. We address these issues by evaluating how selective mortality affects recruitment of fish populations. First, we provide a quantitative review of selective mortality. Our results show that most of the mortality during early life is selective, and that variation in phenotypes can have large effects on survival. Next, we describe an analytical framework that accounts for variation in selection, while also describing the amount of selective mortality experienced by different cohorts recruiting to a single population. This framework is based on reconstructing fitness surfaces from phenotypic selection measurements, and can be employed for either single or multiple traits. Finally, we show how this framework can be integrated with models of density-dependent survival to improve our understanding of recruitment variability and population dynamics.

DOI10.1111/ele.12273
Short TitleEcol. Lett.
Impact: 

"By understanding how such changes in phenotypes will ultimately affect recruitment, we will be able to anticipate how changes in the abiotic and biotic environment will affect both the quality of individuals in the population, and the population’s capacity for resistance and/or resilience to environmental change."

--from the authors

Integrated Research Themes: 
Student Publication: 
No
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