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Population Ecology

, Volume 60, Issue 1–2, pp 111–125 | Cite as

The relationship of mammal survivorship and body mass modeled by metabolic and vitality theories

SPECIAL FEATURE: ORIGINAL ARTICLE Evolutionary demography: the dynamic and broad intersection of ecology and evolution

Abstract

A model describes the relationship between mammal body mass and survivorship by combining replicative senescence theory postulating a cellular basis of aging, metabolic theory relating metabolism to body mass, and vitality theory relating survival to vitality loss and extrinsic mortality. In the combined framework, intrinsic mortality results from replicative senescence of the hematopoietic stem cells and extrinsic mortality results from environmental challenges. Because the model expresses the intrinsic and extrinsic rates with different powers of body mass, across the spectrum of mammals, survivorship changes from Type I to Type II curve shapes with decreasing body mass. Fitting the model to body mass and maximum lifespan data of 494 nonvolant mammals yields allometric relationships of body mass to the vitality parameters, from which full survivorship profiles were generated from body mass alone. Because maximum lifespan data is predominantly derived from captive populations, the generated survivorship curves were dominated by intrinsic mortality. Comparison of the mass-derived and observed survivorship curves provides insights into how specific populations deviate from the aggregate of populations observed under captivity.

Keywords

AnAge database Hematopoiesis Macroecology theory Maximum lifespan Replicative senescence 

Notes

Acknowledgements

I wish to acknowledge the two reviewers whose comments greatly improved the analysis and organization of the manuscript. This work was supported by National Institute of Health Grant R21AG046760.

Compliance with ethical standards

Conflict of interest

The author declares that there are no conflicts of interest.

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© The Society of Population Ecology and Springer Japan KK, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Aquatic and Fishery SciencesUniversity of WashingtonSeattleUSA

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