Literature DB >> 24786910

Eco-evolutionary dynamics induced by massive mortality events.

S Vincenzi1, A J Crivelli, W H Satterthwaite, M Mangel.   

Abstract

An eco-genetic model tuned on a population of marble trout Salmo marmoratus subject to periodic flood events was used to explore how the evolution of growth rates interacting with density-dependent processes can modify size at age and population structure and in turn influence the resilience of populations. Fish with greater growth potential were assumed to have higher mortality rates. The results of simulations were compared between two scenarios, one in which populations may evolve growth rates and the other one in which the distribution of growth rates within a population is kept fixed. Evolving populations had a greater proportion of age 1 year individuals in the population, greater median length at age 3 years (the typical age at sexual maturity for S. marmoratus) and lower population sizes. The slightly smaller population sizes did not affect realized extinction risk. Resilience, defined as the number of years necessary to rebound from flood-induced population collapse, was on average from 2 to 3 years in both scenarios, with no significant difference between them. Moderate heritability of growth, relaxation of density-dependent processes at low densities and rapid recovery to a safe population size combine to limit the capacity to evolve faster recovery after flood-induced population collapses via changing growth rates.
© 2014 The Fisheries Society of the British Isles.

Entities:  

Keywords:  floods; life histories; marble trout; somatic growth; trade-off

Mesh:

Year:  2014        PMID: 24786910     DOI: 10.1111/jfb.12382

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.051


  4 in total

1.  Genetic and life-history consequences of extreme climate events.

Authors:  Simone Vincenzi; Marc Mangel; Dusan Jesensek; John Carlos Garza; Alain J Crivelli
Journal:  Proc Biol Sci       Date:  2017-02-08       Impact factor: 5.349

2.  A framework for estimating the determinants of spatial and temporal variation in vital rates and inferring the occurrence of unobserved extreme events.

Authors:  Simone Vincenzi; Dušan Jesenšek; Alain J Crivelli
Journal:  R Soc Open Sci       Date:  2018-03-07       Impact factor: 2.963

3.  Biological and statistical interpretation of size-at-age, mixed-effects models of growth.

Authors:  Simone Vincenzi; Dusan Jesensek; Alain J Crivelli
Journal:  R Soc Open Sci       Date:  2020-04-08       Impact factor: 2.963

4.  Determining individual variation in growth and its implication for life-history and population processes using the empirical Bayes method.

Authors:  Simone Vincenzi; Marc Mangel; Alain J Crivelli; Stephan Munch; Hans J Skaug
Journal:  PLoS Comput Biol       Date:  2014-09-11       Impact factor: 4.475

  4 in total

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