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Optimal Foraging Theory: A Critical Review
Abstract
Proponents of optimal foraging theory attempt to predict the behavior of animals while they are foraging; this theory is based on a number of assump tions ( 133 , 155 , 2 10, 23 1 ) . First, an individual's contribution to the next generation (i.e. its fitness) depends on its behavior while foraging. This contribution may be measured genetically or culturally as the proportion of an individual's genes or ideas, respectively, in the next generation. In the former case, the theory is simply an extension of Darwin's theory of evolution. Second, it is assumed that there should be a heritable component of foraging behavior, i.e. an animal that forages in a particular manner should be likely to have offspring that tend to forage in the same manner. This heritable compo nent can be either the actual foraging responses made by an animal or the rules by which an animal learns to make such responses. In other words, optimal foraging theory may apply regardless of whether the foraging behavior is learned or innate. Given these first two assumptions, it follows that the proportion of individuals in a population foraging in ways that enhance their fitness will tend to increase over time. Unless countervailed by sufficiently strong group selection (see 287, 242), foraging behavior will therefore evolve, and the average foraging behavior will increasingly come to be characterized by those characteristics that enhance individual fitness. The third assumption is that the relationship between foraging behavior and fitness is known. This relationship is usually referred to as the currency of fitness (23 1 ) . In general, any such currency will include a time scale, although in some cases it may be assumed that fitness is a function of some rate.
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Cites
The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
Gould, S. J., & Lewontin, R. C. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0086 · Cited by 7,770
Optimal foraging, the marginal value theorem
Charnov, E. L. (1976) · Theoretical Population Biology · doi:10.1016/0040-5809(76)90040-x · Cited by 5,374
On Optimal Use of a Patchy Environment
MacArthur, R. H., & Pianka, E. R. (1966) · The American Naturalist · doi:10.1086/282454 · Cited by 4,593
Strategies in Herbivory by Mammals: The Role of Plant Secondary Compounds
Freeland, W. J., & Janzen, D. H. (1974) · The American Naturalist · doi:10.1086/282907 · Cited by 1,358
On optimal oviposition behavior in phytophagous insects
Jaenike, J. (1978) · Theoretical Population Biology · doi:10.1016/0040-5809(78)90012-6 · Cited by 772
Optimal foraging in great tits (parus major)
COWIE, R. J. (1977) · Nature · doi:10.1038/268137a0 · Cited by 395
Cited by
Garibaldi, L. A., Steffan-Dewenter, I., Kremen, C., Morales, J. M., Bommarco, R., Cunningham, S. A., Carvalheiro, L. G., Chacoff, N. P., Dudenhöffer, J. H., Greenleaf, S. S., et al. (2011) · Ecology Letters · doi:10.1111/j.1461-0248.2011.01669.x · Cited by 962
Dissolved oxygen and fish behavior
Kramer, D. L. (1987) · Environmental Biology of Fishes · doi:10.1007/bf00002597 · Cited by 616
Decision theory, reinforcement learning, and the brain
Dayan, P., & Daw, N. D. (2008) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.8.4.429 · Cited by 580
Spatial analysis of animals' movements using a correlated random walk model
Bovet, P., & Benhamou, S. (1988) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(88)80038-9 · Cited by 441
Qasem, L., Cardew, A., Wilson, A., Griffiths, I., Halsey, L. G., Shepard, E. L. C., Gleiss, A. C., & Wilson, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031187 · Cited by 399
Metadata
- Authors
- Pyke, G. H.
- Venue
- Annual Review of Ecology and Systematics
- Publisher
- Annual Reviews
- Published
- 1984-01-01
- Volume
- 15
- Issue
- 1
- Pages
- 523-575
- ISSN
- 0066-4162 (ISSN-L)
- OpenAlex
- W2120157426
- Cited by
- 2,210
- References
- 6
- FWCI
- 77.05
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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