Published January 30, 2022 | Version v1
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Incorporating effects of age on energy dynamics predicts non-linear maternal allocation patterns in iteroparous animals

  • 1. University of Bristol
  • 2. University of Exeter
  • 3. University of Oxford

Description

Iteroparous parents face a trade-off between allocating current resources to reproduction versus maximizing survival to produce further offspring. Optimal allocation varies across age, and follows a hump-shaped pattern across diverse taxa, including mammals, birds and invertebrates. This non-linear 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 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 non-linear maternal allocation across diverse taxonomic groups.

Notes

Funding provided by: Biotechnology and Biological Sciences Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000268
Award Number: BB/P006159/1

Funding provided by: Royal Society Dorothy Hodgkin Fellowship*
Crossref Funder Registry ID:
Award Number: DH140236

Funding provided by: NERC Independent Research Fellowship *
Crossref Funder Registry ID:
Award Number: NE/L011921/1

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Related works

Is derived from
10.5061/dryad.v41ns1rxr (DOI)