Incorporating effects of age on energy dynamics predicts nonlinear maternal allocation patterns in iteroparous animals

Antoine M G Barreaux*, Andrew D Higginson, Michael Bonsall, Sinead English

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)
41 Downloads (Pure)

Abstract

Iteroparous parents face a trade-off between allocating current resources to reproduction versus maximizing survival to produce further offspring. Parental allocation varies across age and follows a hump-shaped pattern across diverse taxa, including mammals, birds and invertebrates. This nonlinear allocation pattern lacks a general theoretical explanation, potentially because most studies focus on offspring number rather than quality and do not incorporate uncertainty or age-dependence in energy intake or costs. Here, we develop a life-history model of maternal allocation in iteroparous animals. We identify the optimal allocation strategy in response to stochasticity when energetic costs, feeding success, energy intake and environmentally driven mortality risk are age-dependent. As a case study, we use tsetse, a viviparous insect that produces one offspring per reproductive attempt and relies on an uncertain food supply of vertebrate blood. Diverse scenarios generate a hump-shaped allocation when energetic costs and energy intake increase with age and also when energy intake decreases and energetic costs increase or decrease. Feeding success and environmentally driven mortality risk have little influence on age-dependence in allocation. We conclude that ubiquitous evidence for age-dependence in these influential traits can explain the prevalence of nonlinear maternal allocation across diverse taxonomic groups.
Original languageEnglish
Article number20211884
Number of pages10
JournalProceedings of the Royal Society of London B: Biological Sciences
Volume289
Issue number1969
Early online date16 Feb 2022
DOIs
Publication statusPublished - 23 Feb 2022

Bibliographical note

Funding Information:
This work was funded by the Biotechnology and Biological Sciences Research Council (grant no. BB/P006159/1). S.E. was also supported by a Royal Society Dorothy Hodgkin Fellowship (grant no. DH140236). A.D.H. was supported by a NERC Independent Research Fellowship (grant no. NE/L011921/1).

Publisher Copyright:
© 2022 Royal Society Publishing. All rights reserved.

Keywords

  • life-history theory
  • ageing
  • maternal allocation
  • energy dynamics
  • stochastic dynamic programming

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