Journal article
Reproductive inequality in humans and other mammals
- Abstract:
- To address claims of human exceptionalism, we determine where humans fit within the greater mammalian distribution of reproductive inequality. We show that humans exhibit lower reproductive skew (i.e., inequality in the number of surviving offspring) among males and smaller sex differences in reproductive skew than most other mammals, while nevertheless falling within the mammalian range. Additionally, female reproductive skew is higher in polygynous human populations than in polygynous nonhumans mammals on average. This patterning of skew can be attributed in part to the prevalence of monogamy in humans compared to the predominance of polygyny in nonhuman mammals, to the limited degree of polygyny in the human societies that practice it, and to the importance of unequally held rival resources to women's fitness. The muted reproductive inequality observed in humans appears to be linked to several unusual characteristics of our species-including high levels of cooperation among males, high dependence on unequally held rival resources, complementarities between maternal and paternal investment, as well as social and legal institutions that enforce monogamous norms.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, eps, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1073/pnas.2220124120
Authors
- Publisher:
- National Academy of Sciences
- Journal:
- Proceedings of the National Academy of Sciences More from this journal
- Volume:
- 120
- Issue:
- 22
- Article number:
- e2220124120
- Place of publication:
- United States
- Publication date:
- 2023-05-22
- Acceptance date:
- 2023-04-16
- DOI:
- EISSN:
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1091-6490
- ISSN:
-
0027-8424
- Pmid:
-
37216525
- Language:
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English
- Keywords:
- Pubs id:
-
1344404
- Local pid:
-
pubs:1344404
- Deposit date:
-
2023-07-03
Terms of use
- Copyright holder:
- Ross et al
- Copyright date:
- 2023
- Rights statement:
- © 2023 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).
- Licence:
- CC Attribution (CC BY)
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