Skip to main content
Article
Toward a Metabolic Theory of Life History
Proceedings of the National Academy of Sciences of the United States of America
  • Joseph Robert Burger
  • Chen Hou, Missouri University of Science and Technology
  • James H. Brown
Abstract

The life histories of animals reflect the allocation of metabolic energy to traits that determine fitness and the pace of living. Here, we extend metabolic theories to address how demography and mass-energy balance constrain allocation of biomass to survival, growth, and reproduction over a life cycle of one generation. We first present data for diverse kinds of animals showing empirical patterns of variation in life-history traits. These patterns are predicted by theory that highlights the effects of 2 fundamental biophysical constraints: demography on number and mortality of offspring; and mass-energy balance on allocation of energy to growth and reproduction. These constraints impose 2 fundamental trade-offs on allocation of assimilated biomass energy to production: between number and size of offspring, and between parental investment and offspring growth. Evolution has generated enormous diversity of body sizes, morphologies, physiologies, ecologies, and life histories across the millions of animal, plant, and microbe species, yet simple rules specified by general equations highlight the underlying unity of life.

Department(s)
Biological Sciences
Comments
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1907702116/-/DCSupplemental.
Keywords and Phrases
  • Biodiversity,
  • Biophysical constraints,
  • Demography,
  • Metabolic ecology,
  • Unified theories
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 The Authors, All rights reserved.
Publication Date
12-1-2019
Publication Date
01 Dec 2019
PubMed ID
31822607
Disciplines
Citation Information
Joseph Robert Burger, Chen Hou and James H. Brown. "Toward a Metabolic Theory of Life History" Proceedings of the National Academy of Sciences of the United States of America Vol. 116 Iss. 52 (2019) p. 26653 - 26661 ISSN: 0027-8424; 1091-6490
Available at: http://works.bepress.com/chen-hou/28/