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Cited by 405

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Latitudinal Clines: A Trade‐Off between Egg Number and Size in Pacific Salmon

Fleming, Ian A., Gross, Mart R.·1990·Ecology

Abstract

The latitudinal variation in clutch size found in many animal species, including Pacific salmon, has been an enigmatic problem in ecology. We analyze egg number and egg size of 17 populations of coho salmon (Oncorhynchus kisutch) distributed over a latitudinal gradient in North America. These populations have a significant latitudinal increase in their egg number. But this increase is accompanied by a significant latitudinal decrease in their egg size. The total biomass of eggs produced also declines with latitude. Thus, the positive latitudinal trend in egg number cannot be explained by latitudinal variation in the total investment in eggs. This suggests that local optima in egg size may result in latitudinal clines in egg number. This reasoning, that egg number evolves around selection for egg size, is in fact predicted by life history theory and may explain the clutch size patterns observed in many organisms.

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Crossref · 10.2307/1940241

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Metadata

Authors
Fleming, I. A., & Gross, M. R.
Venue
Ecology
Publisher
Wiley
Published
1990-02
Volume
71
Issue
1
Pages
1-11
ISSN
  • 0012-9658 (ISSN-L)
  • 1939-9170
OpenAlex
W2084169828
Cited by
405
References
33
FWCI
18.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Latitudinal Clines: A Trade‐Off between Egg Number and Size in Pacific Salmon. https://app.cochat.ai/papers/10.2307/1940241
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Fleming, I. A., & Gross, M. R. (1990). Latitudinal Clines: A Trade‐Off between Egg Number and Size in Pacific Salmon. Ecology. https://doi.org/10.2307/1940241

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.