Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain

Individuals differ in their life courses, but how this diversity is generated, how it has evolved and how it is maintained is less understood. However, this understanding is crucial to comprehend evolutionary and ecological population dynamics. In structured populations, individual life courses repr...

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Published in:Theoretical Population Biology
Main Authors: Steiner, Ulrich K., Tuljapurkar, Shripad
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://portal.findresearcher.sdu.dk/da/publications/22cb94db-0336-4065-84eb-f52942f037c7
https://doi.org/10.1016/j.tpb.2020.01.003
https://www.biorxiv.org/content/biorxiv/early/2017/09/13/188276.full.pdf
https://doi.org/10.1101/188276
id ftsydanskunivpub:oai:sdu.dk:publications/22cb94db-0336-4065-84eb-f52942f037c7
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spelling ftsydanskunivpub:oai:sdu.dk:publications/22cb94db-0336-4065-84eb-f52942f037c7 2024-09-15T18:02:39+00:00 Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain Steiner, Ulrich K. Tuljapurkar, Shripad 2020-06 https://portal.findresearcher.sdu.dk/da/publications/22cb94db-0336-4065-84eb-f52942f037c7 https://doi.org/10.1016/j.tpb.2020.01.003 https://www.biorxiv.org/content/biorxiv/early/2017/09/13/188276.full.pdf https://doi.org/10.1101/188276 eng eng https://portal.findresearcher.sdu.dk/da/publications/22cb94db-0336-4065-84eb-f52942f037c7 info:eu-repo/semantics/closedAccess Steiner , U K & Tuljapurkar , S 2020 , ' Drivers of diversity in individual life courses : Sensitivity of the population entropy of a Markov chain ' , Theoretical Population Biology , vol. 133 , pp. 159-167 . https://doi.org/10.1016/j.tpb.2020.01.003 Biodemography Life course Life history evolution Neutral variability Population entropy Sensitivity article 2020 ftsydanskunivpub https://doi.org/10.1016/j.tpb.2020.01.00310.1101/188276 2024-08-19T23:51:23Z Individuals differ in their life courses, but how this diversity is generated, how it has evolved and how it is maintained is less understood. However, this understanding is crucial to comprehend evolutionary and ecological population dynamics. In structured populations, individual life courses represent sequences of stages that end in death. These life course trajectories or sequences can be described by a Markov chain and individuals diversify over the course of their lives by transitioning through diverse discrete stages. The rate at which stage sequences diversify with age can be quantified by the population entropy of a Markov chain. Here, we derive sensitivities of the population entropy of a Markov chain to identify which stage transitions generate – or contribute – most to diversification in stage sequences, i.e. life courses. We then use these sensitivities to reveal potential selective forces on the dynamics of life courses. To do so we correlated the sensitivity of each matrix element (stage transition) with respect to the population entropy, to its sensitivity with respect to fitness λ, the population growth rate. Positive correlation between the two sensitivities would suggest that the stage transitions that selection has acted most strongly on (high sensitivities with respect to λ) are also those that contributed most to the diversification of life courses. Using an illustrative example on a seabird population, the Thick-billed Murres on Coats Island, that is structured by reproductive stages, we show that the most influential stage transitions for diversification of life courses are not correlated with the most influential transitions for population growth. Our finding suggests that observed diversification in life courses is neutral rather than adaptive, note this does not imply that the life histories themselves are not adaptive. We are at an early stage of understanding how individual level dynamics shape ecological and evolutionary dynamics, and many discoveries await. Article in Journal/Newspaper Coats Island University of Southern Denmark Research Portal Theoretical Population Biology 133 159 167
institution Open Polar
collection University of Southern Denmark Research Portal
op_collection_id ftsydanskunivpub
language English
topic Biodemography
Life course
Life history evolution
Neutral variability
Population entropy
Sensitivity
spellingShingle Biodemography
Life course
Life history evolution
Neutral variability
Population entropy
Sensitivity
Steiner, Ulrich K.
Tuljapurkar, Shripad
Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
topic_facet Biodemography
Life course
Life history evolution
Neutral variability
Population entropy
Sensitivity
description Individuals differ in their life courses, but how this diversity is generated, how it has evolved and how it is maintained is less understood. However, this understanding is crucial to comprehend evolutionary and ecological population dynamics. In structured populations, individual life courses represent sequences of stages that end in death. These life course trajectories or sequences can be described by a Markov chain and individuals diversify over the course of their lives by transitioning through diverse discrete stages. The rate at which stage sequences diversify with age can be quantified by the population entropy of a Markov chain. Here, we derive sensitivities of the population entropy of a Markov chain to identify which stage transitions generate – or contribute – most to diversification in stage sequences, i.e. life courses. We then use these sensitivities to reveal potential selective forces on the dynamics of life courses. To do so we correlated the sensitivity of each matrix element (stage transition) with respect to the population entropy, to its sensitivity with respect to fitness λ, the population growth rate. Positive correlation between the two sensitivities would suggest that the stage transitions that selection has acted most strongly on (high sensitivities with respect to λ) are also those that contributed most to the diversification of life courses. Using an illustrative example on a seabird population, the Thick-billed Murres on Coats Island, that is structured by reproductive stages, we show that the most influential stage transitions for diversification of life courses are not correlated with the most influential transitions for population growth. Our finding suggests that observed diversification in life courses is neutral rather than adaptive, note this does not imply that the life histories themselves are not adaptive. We are at an early stage of understanding how individual level dynamics shape ecological and evolutionary dynamics, and many discoveries await.
format Article in Journal/Newspaper
author Steiner, Ulrich K.
Tuljapurkar, Shripad
author_facet Steiner, Ulrich K.
Tuljapurkar, Shripad
author_sort Steiner, Ulrich K.
title Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
title_short Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
title_full Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
title_fullStr Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
title_full_unstemmed Drivers of diversity in individual life courses:Sensitivity of the population entropy of a Markov chain
title_sort drivers of diversity in individual life courses:sensitivity of the population entropy of a markov chain
publishDate 2020
url https://portal.findresearcher.sdu.dk/da/publications/22cb94db-0336-4065-84eb-f52942f037c7
https://doi.org/10.1016/j.tpb.2020.01.003
https://www.biorxiv.org/content/biorxiv/early/2017/09/13/188276.full.pdf
https://doi.org/10.1101/188276
genre Coats Island
genre_facet Coats Island
op_source Steiner , U K & Tuljapurkar , S 2020 , ' Drivers of diversity in individual life courses : Sensitivity of the population entropy of a Markov chain ' , Theoretical Population Biology , vol. 133 , pp. 159-167 . https://doi.org/10.1016/j.tpb.2020.01.003
op_relation https://portal.findresearcher.sdu.dk/da/publications/22cb94db-0336-4065-84eb-f52942f037c7
op_rights info:eu-repo/semantics/closedAccess
op_doi https://doi.org/10.1016/j.tpb.2020.01.00310.1101/188276
container_title Theoretical Population Biology
container_volume 133
container_start_page 159
op_container_end_page 167
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