ArticleEcology and evolution2022
Revisiting the influence of learning in predator functional response, how it can lead to shapes different from type III.
Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Life-stage specific predatory efficiency of 2 generalist predators of Bemisia tabaci (Hemiptera: Aleyrodidae).Journal of economic entomology · 2026Article
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- Functional Responses of Three Insect Predators toInsects · 2026Article
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- Revisiting the influence of learning in predator functional response, how it can lead to shapes different from type III.Ecology and evolution · 2022Article
- Functional Response ofFrontiers in plant science · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predator/parasitoid functional response is one of the main tools used to study predation behavior, and in assessing the potential of biological control candidates. It is generally accepted that predator learning in prey searching and manipulation can produce the appearance of a type III functional response. Holling proposed that in the presence of alternative prey, at some point the predator would shift the preferred prey, leading to the appearance of a sigmoid function that characterized that functional response. This is supported by the analogy between enzyme kinetics and functional response that Holling used as the basis for developing this theory. However, after several decades, sigmoidal functional responses appear in the absence of alternative prey in most of the biological taxa studied. Here, we propose modeling the effect of learning on the functional response by using the explicit incorporation of learning curves in the parameters of the Holling functional response, the attack rate (
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