Literature DB >> 27008773

Demographic buffering of life histories? Implications of the choice of measurement scale.

Eirin Bjørkvoll, Aline M Lee, Vidar Grøtan, Bernt-Erikik Saether, Audun Stien, Steinar Engen, Steve Albon, Leif Egil Loe, Brage Bremset Hansen.   

Abstract

Life-history theory predicts that the vital rates that influence population growth the most should be buffered against environmental fluctuations due to selection for reduced variation. However, it remains unclear whether populations actually are influenced by such "demographic buffering," because variation in vital rates can be compared on different measurement scales, and there has been little attempt to investigate whether the choice of scale influences the chance of detecting demographic buffering. We compared two statistical approaches to examine whether demographic buffering has influenced vital rates in wild Svalbard reindeer (Rangifer tarandus platyrhynchus). To account for statistical variance constraints on vital rates limited between 0 and 1 in analyses of demographic buffering, one approach is to scale observed variation by the maximum possible variation on the arithmetic scale. When applying this approach, the results suggested that demographic buffering was occurring. However, when we applied an alternative approach that identified statistical variance constraints on the logit scale, there was no evidence for demographic buffering. Thus, the choice of measurement scale must be carefully considered before one can fully understand whether demographic buffering influences life histories. Defining the appropriate scale may require an understanding of the mechanisms through which demographic buffering may have evolved.

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Year:  2016        PMID: 27008773     DOI: 10.1890/15-0317.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  4 in total

1.  Evolution of stochastic demography with life history tradeoffs in density-dependent age-structured populations.

Authors:  Russell Lande; Steinar Engen; Bernt-Erik Sæther
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-10       Impact factor: 11.205

2.  More frequent extreme climate events stabilize reindeer population dynamics.

Authors:  Brage B Hansen; Marlène Gamelon; Steve D Albon; Aline M Lee; Audun Stien; R Justin Irvine; Bernt-Erik Sæther; Leif E Loe; Erik Ropstad; Vebjørn Veiberg; Vidar Grøtan
Journal:  Nat Commun       Date:  2019-04-08       Impact factor: 14.919

3.  Variation in actuarial senescence does not reflect life span variation across mammals.

Authors:  Guillaume Péron; Jean-François Lemaître; Victor Ronget; Morgane Tidière; Jean-Michel Gaillard
Journal:  PLoS Biol       Date:  2019-09-13       Impact factor: 8.029

4.  Transient LTRE analysis reveals the demographic and trait-mediated processes that buffer population growth.

Authors:  Adriana A Maldonado-Chaparro; Daniel T Blumstein; Kenneth B Armitage; Dylan Z Childs
Journal:  Ecol Lett       Date:  2018-09-05       Impact factor: 9.492

  4 in total

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