Balancing growth, reproduction, maintenance, and activity in evolved energy economies.


Journal

Current biology : CB
ISSN: 1879-0445
Titre abrégé: Curr Biol
Pays: England
ID NLM: 9107782

Informations de publication

Date de publication:
20 06 2022
Historique:
entrez: 21 6 2022
pubmed: 22 6 2022
medline: 24 6 2022
Statut: ppublish

Résumé

Economic models predominate in life history research, which investigates the allocation of an organism's resources to growth, reproduction, and maintenance. These approaches typically employ a heuristic Y model of resource allocation, which predicts trade-offs among tasks within a fixed budget. The common currency among tasks is not always specified, but most models imply that metabolic energy, either from food or body stores, is the critical resource. Here, we review the evidence for metabolic energy as the common currency of growth, reproduction, and maintenance, focusing on studies in humans and other vertebrates. We then discuss the flow of energy to competing physiological tasks (physical activity, maintenance, and reproduction or growth) and its effect on life history traits. We propose a Ψ model of energy flow to these tasks, which provides an integrative framework for examining the influence of environmental factors and the expansion and contraction of energy budgets in the evolution of life history strategies.

Identifiants

pubmed: 35728556
pii: S0960-9822(22)00777-1
doi: 10.1016/j.cub.2022.05.018
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

R709-R719

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Herman Pontzer (H)

Department of Evolutionary Anthropology, Duke University, Durham, NC, USA; Duke Global Health Institute, Duke University, Durham, NC, USA. Electronic address: herman.pontzer@duke.edu.

Amanda McGrosky (A)

Department of Evolutionary Anthropology, Duke University, Durham, NC, USA.

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Classifications MeSH