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Cited by 395

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Rethinking the evolutionary theory of aging: Transfers, not births, shape senescence in social species

Open access
Lee, Ronald D.·2003·Proceedings of the National Academy of Sciences

Abstract

The classic evolutionary theory of aging explains why mortality rises with age: as individuals grow older, less lifetime fertility remains, so continued survival contributes less to reproductive fitness. However, successful reproduction often involves intergenerational transfers as well as fertility. In the formal theory offered here, age-specific selective pressure on mortality depends on a weighted average of remaining fertility (the classic effect) and remaining intergenerational transfers to be made to others. For species at the optimal quantity–investment tradeoff for offspring, only the transfer effect shapes mortality, explaining postreproductive survival and why juvenile mortality declines with age. It also explains the evolution of lower fertility, longer life, and increased investments in offspring.

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Crossref · 10.1073/pnas.1530303100

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Metadata

Authors
Lee, R. D.
Venue
Proceedings of the National Academy of Sciences
Published
2003-07-23
Volume
100
Issue
16
Pages
9637-9642
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2041250763
Cited by
395
References
39
FWCI
24.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Rethinking the evolutionary theory of aging: Transfers, not births, shape senescence in social species. https://app.cochat.ai/papers/10.1073/pnas.1530303100
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Lee, R. D. (2003). Rethinking the evolutionary theory of aging: Transfers, not births, shape senescence in social species. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1530303100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.