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Theory of Fitness in a Heterogeneous Environment. I. The Fitness Set and Adaptive Function
Abstract
A method is presented for representing the fitness of populations in a heterogeneous environment in terms of their fitness in the various niches taken separately, and the distribution of the niches in space and time. The characteristics of the optimal population can be found for each environmental pattern, and conditions determined in which the optimum is specialized or generalized, mono- or polymorphic, differentiated into discrete races or gradually along clines. These results are shown in table 1. The next paper in this series will extend the model and discuss experimental approaches for testing the theory.
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Cited by
RISK-SPREADING AND BET-HEDGING IN INSECT POPULATION BIOLOGY
Hopper, K. R. (1999) · Annual Review of Entomology · doi:10.1146/annurev.ento.44.1.535 · Cited by 470
Cooper, W. S., & Kaplan, R. H. (1982) · Journal of Theoretical Biology · doi:10.1016/0022-5193(82)90336-8 · Cited by 301
Competitive exclusion and limiting similarity: A unified theory
Meszéna, G., Gyllenberg, M., Pásztor, L., & Metz, J. A. J. (2006) · Theoretical Population Biology · doi:10.1016/j.tpb.2005.07.001 · Cited by 298
Wright, J., Bolstad, G. H., Araya‐Ajoy, Y. G., & Dingemanse, N. J. (2019) · Biological Reviews · doi:10.1111/brv.12451 · Cited by 175
A comparative study of ecological specialization estimators
Poisot, T., Canard, E., Mouquet, N., & Hochberg, M. E. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2011.00174.x · Cited by 156
Metadata
- Authors
- Levins, R.
- Venue
- The American Naturalist
- Publisher
- University of Chicago Press
- Published
- 1962-11
- Volume
- 96
- Issue
- 891
- Pages
- 361-373
- ISSN
- 0003-0147 (ISSN-L)
- 1537-5323
- OpenAlex
- W2038702371
- Cited by
- 465
- References
- 0
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Levins, R. (1962). Theory of Fitness in a Heterogeneous Environment. I. The Fitness Set and Adaptive Function. The American Naturalist. https://doi.org/10.1086/282245
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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.