Environmental quality predicts optimal egg size in the wild

Njal Rollinson, Jeffrey A. Hutchings

Résultat de recherche: Articleexamen par les pairs

64 Citations (Scopus)

Résumé

Parents can maximize their reproductive success by balancing the trade-off between investment per offspring and fecundity. According to theory, environmental quality influences the relationship between investment per offspring and offspring fitness, such that well-provisioned offspring fare better when environmental quality is lower. A major prediction of classic theory, then, is that optimal investment per offspring will increase as environmental quality decreases. To test this prediction, we release over 30,000 juvenile Atlantic salmon (Salmo salar) into eight wild stream environments, and we monitor subsequent growth and survival of juveniles.We estimate the shape of the relationship between investment per offspring (egg size) and offspring fitness in each stream. We find that optimal egg size is greater when the quality of the stream environment is lower (as estimated by a composite index of habitat quality). Across streams, the mean size of stream gravel and the mean amount of incident sunlight are the most important individual predictors of optimal egg size. Within streams, juveniles recaptured in stream subsections that featured larger gravels and greater levels of sunlight also grew relatively quickly, an association that complements our crossstream analyses. This study provides the first empirical verification that environmental quality alters the relationship between investment per offspring and offspring fitness, such that optimal investment per offspring increases as environmental quality decreases.

Langue d'origineEnglish
Pages (de-à)76-90
Nombre de pages15
JournalAmerican Naturalist
Volume182
Numéro de publication1
DOI
Statut de publicationPublished - juin 2013

ASJC Scopus Subject Areas

  • Ecology, Evolution, Behavior and Systematics

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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