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

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 consid...

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Detalles Bibliográficos
Autores principales: Giaimo, Stefano, Traulsen, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763023/
https://www.ncbi.nlm.nih.gov/pubmed/36545365
http://dx.doi.org/10.1002/ece3.9561
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author Giaimo, Stefano
Traulsen, Arne
author_facet Giaimo, Stefano
Traulsen, Arne
author_sort Giaimo, Stefano
collection PubMed
description 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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spelling pubmed-97630232022-12-20 Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations Giaimo, Stefano Traulsen, Arne Ecol Evol Research Articles 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. John Wiley and Sons Inc. 2022-12-19 /pmc/articles/PMC9763023/ /pubmed/36545365 http://dx.doi.org/10.1002/ece3.9561 Text en © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Giaimo, Stefano
Traulsen, Arne
Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title_full Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title_fullStr Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title_full_unstemmed Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title_short Age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
title_sort age‐specific sensitivity analysis of stable, stochastic and transient growth for stage‐classified populations
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763023/
https://www.ncbi.nlm.nih.gov/pubmed/36545365
http://dx.doi.org/10.1002/ece3.9561
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