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  Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations

Giaimo, S., & Traulsen, A. (2022). Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations. Ecology and Evolution, 12(12): e9561. doi:10.1002/ece3.9561.

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Ecology and Evolution - 2022 - Giaimo - Age‐specific sensitivity analysis of stable stochastic and transient growth for.pdf (Publisher version), 2MB
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Ecology and Evolution - 2022 - Giaimo - Age‐specific sensitivity analysis of stable stochastic and transient growth for.pdf
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 Creators:
Giaimo, Stefano1, Author                 
Traulsen, Arne1, Author                 
Affiliations:
1Department Evolutionary Theory (Traulsen), Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: aging, elasticity analysis, population growth, senescence, sensitivity analysis, stage, stochastic growth rate, transient growth
 Abstract:

Sensitivity analysis in ecology and evolution is a valuable guide to rank demographic parameters depending on their relevance to population growth. Here, we propose a method to make the sensitivity analysis of population growth for matrix models solely classified by stage more fine-grained by considering the effect of age-specific parameters. The method applies to stable population growth, the stochastic growth rate, and transient growth. The method yields expressions for the sensitivity of stable population growth to age-specific survival and fecundity from which general properties are derived about the pattern of age-specific selective forces molding senescence in stage-classified populations.

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Language(s): eng - English
 Dates: 2022-08-222022-11-022022-12-192022
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/ece3.9561
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Title: Ecology and Evolution
Source Genre: Journal
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Publ. Info: John Wiley & Sons, Inc.
Pages: - Volume / Issue: 12 (12) Sequence Number: e9561 Start / End Page: - Identifier: ISSN: 2045-7758
CoNE: https://pure.mpg.de/cone/journals/resource/2045-7758