A mechanistic model for partial preferences
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't, Validation Study
PubMed
11162787
DOI
10.1006/tpbi.2000.1491
PII: S0040-5809(00)91491-6
Knihovny.cz E-resources
- MeSH
- Behavior, Animal * MeSH
- Population Density * MeSH
- Perception * MeSH
- Movement * MeSH
- Predatory Behavior * MeSH
- Models, Psychological * MeSH
- Feeding Behavior * MeSH
- Choice Behavior * MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Validation Study MeSH
Classic prey optimal foraging model assumes that individual predators are globally omniscient; that is, they have exact knowledge of prey population densities in the environment. This study examines a spatially explicit individual-based model of a one-predator two-prey system where individual predators are assumed to be omniscient only locally, i.e., to know prey population densities only in the range of their perception. Due to local variations in prey numbers, the probability of acceptance of less profitable prey shifts from the zero-one rule to a gradually decreasing function, for which an explicit formula is derived, giving way to partial preferences. A corresponding predator functional response to more profitable prey is shown to have a sigmoid-like form.
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