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Article . 2019 . Peer-reviewed
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Toward a metabolic theory of life history

Authors: Joseph Robert Burger; Chen Hou; James H. Brown;

Toward a metabolic theory of life history

Abstract

SignificanceData and theory reveal how organisms allocate metabolic energy to components of the life history that determine fitness. In each generation, animals take up biomass energy from the environment and expend it on survival, growth, and reproduction. Life histories of animals exhibit enormous diversity—from large fish and invertebrates that produce literally millions of tiny eggs and suffer enormous mortality, to mammals and birds that produce a few large offspring with much lower mortality. Yet, underlying this enormous diversity are general life history rules and trade-offs due to universal biophysical constraints on the channels of selection. These rules are characterized by general equations that underscore the unity of life.

Keywords

bepress|Life Sciences, Population Biology, Evolution, Ecology and Evolutionary Biology, Life Sciences, bepress|Life Sciences|Ecology and Evolutionary Biology, bepress|Life Sciences|Ecology and Evolutionary Biology|Population Biology, bepress|Life Sciences|Ecology and Evolutionary Biology|Evolution

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 1%
hybrid