Literature DB >> 18171141

Linking growth, survival, and heterogeneity through vitality.

James J Anderson1, Molly C Gildea, Drew W Williams, Ting Li.   

Abstract

We model the cross-stage effect of juvenile growth on future cohort survival with vitality, a single stochastic measure of an organism's survival capacity that results in death when it reaches 0. In this construct, the distribution of vitality at the end of a growth treatment stage, which is a measure of survival capacity heterogeneity, determines a cohort's susceptibility to starvation in a subsequent challenge stage. The model predicts that the treatment-stage duration and mass gain determine the mean and variance of the initial vitality distribution of the challenge stage, which in turn determine the effect of a challenge-stage stressor on survival. Studies linking the effect of juvenile growth on time to starvation for chinook salmon and yellow perch are compared to model predictions. The feasibility of predicting survival and heterogeneity in overwintering fish populations from first-year growth is considered. Some limitations and potential extensions of the model to other scenarios are discussed.

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Mesh:

Year:  2008        PMID: 18171141     DOI: 10.1086/524199

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  8 in total

1.  Resource competition induces heterogeneity and can increase cohort survivorship: selection-event duration matters.

Authors:  Jennifer L Gosselin; James J Anderson
Journal:  Oecologia       Date:  2013-08-03       Impact factor: 3.225

2.  The Strehler-Mildvan correlation from the perspective of a two-process vitality model.

Authors:  Ting Li; James J Anderson
Journal:  Popul Stud (Camb)       Date:  2015-01-30

Review 3.  Insights into mortality patterns and causes of death through a process point of view model.

Authors:  James J Anderson; Ting Li; David J Sharrow
Journal:  Biogerontology       Date:  2016-11-24       Impact factor: 4.277

4.  Mortality increase in late-middle and early-old age: heterogeneity in death processes as a new explanation.

Authors:  Ting Li; Yang Claire Yang; James J Anderson
Journal:  Demography       Date:  2013-10

5.  Age structure changes and extraordinary lifespan in wild medfly populations.

Authors:  James R Carey; Nikos T Papadopoulos; Hans-Georg Müller; Byron I Katsoyannos; Nikos A Kouloussis; Jane-Ling Wang; Kenneth Wachter; Wei Yu; Pablo Liedo
Journal:  Aging Cell       Date:  2008-03-18       Impact factor: 9.304

6.  Influence of prey body characteristics and performance on predator selection.

Authors:  Thomas H Holmes; Mark I McCormick
Journal:  Oecologia       Date:  2008-11-19       Impact factor: 3.225

7.  Lifespan and aggregate size variables in specifications of mortality or survivorship.

Authors:  Michael Epelbaum
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

8.  On the heterogeneity of human populations as reflected by mortality dynamics.

Authors:  Demetris Avraam; Séverine Arnold; Olga Vasieva; Bakhtier Vasiev
Journal:  Aging (Albany NY)       Date:  2016-11-22       Impact factor: 5.682

  8 in total

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