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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
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dc.contributor.author | Bruzzone, Octavio Augusto | |
dc.contributor.author | Aguirre, María Belén | |
dc.contributor.author | Hill, Jorge Guillermo | |
dc.contributor.author | Virla, Eduardo Gabriel | |
dc.contributor.author | Logarzo, Guillermo Alejandro | |
dc.date.accessioned | 2023-08-09T13:54:53Z | |
dc.date.available | 2023-08-09T13:54:53Z | |
dc.date.issued | 2022-02 | |
dc.identifier.issn | 2045-7758 | |
dc.identifier.other | https://doi.org/10.1002/ece3.8593 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/14891 | |
dc.identifier.uri | https://onlinelibrary.wiley.com/doi/10.1002/ece3.8593 | |
dc.description.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 (a), and the manipulation time (h). We then study how the variation in the parameters of the learning curves causes variations in the shape of the functional response curve. We found that the functional response product of learning can be either type I, II, or III, depending on what parameters act on the organism, and how much it can learn throughout the length of the study. Therefore, the presence of other types of curves should not be automatically associated with the absence of learning. These results are important from an ecological point of view because when type III functional response is associated with learning, it is generally accepted that it can operate as a stabilizing factor in population dynamics. Our results, to the contrary, suggest that depending on how it acts, it may even be destabilizing by generating the appearance of functional responses close to type I. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Wiley | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | Ecology and Evolution 2 (2) : e8593. (February 2022) | es_AR |
dc.subject | Depredadores | es_AR |
dc.subject | Predators | eng |
dc.subject | Control Biológico | es_AR |
dc.subject | Biological Control | eng |
dc.subject | Relaciones Predador Presa | es_AR |
dc.subject | Predator Prey Relations | eng |
dc.subject | Parasitoides | es_AR |
dc.subject | Parasitoids | eng |
dc.title | Revisiting the influence of learning in predator functional response, how it can lead to shapes different from type III | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | EEA Bariloche | es_AR |
dc.description.fil | Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina | es_AR |
dc.description.fil | Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina | es_AR |
dc.description.fil | Fil: Aguirre, María Belén. Fundación para el Estudio de Especies Invasivas; Argentina | es_AR |
dc.description.fil | Fil: Aguirre, María Belén. Consejo Nacional de Investigaciones Científicas y Tecnológicas. Fundación para el Estudio de Especies Invasivas; Argentina | es_AR |
dc.description.fil | Fil: Hill, Jorge Guillermo. Universidad Nacional de Tucumán. Facultad de Agronomía y Zootecnia; Argentina | es_AR |
dc.description.fil | Fil: Virla, Eduardo G. Fundación Miguel Lillo. Instituto de Entomología; Argentina | es_AR |
dc.description.fil | Fil: Virla, Eduardo G. Consejo Nacional de Investigaciones Científicas y Técnicas. Planta Piloto de Pocesos Industriales Microbiológicos (PROIMI-Biotecnología); Argentina | es_AR |
dc.description.fil | Fil: Logarzo, Guillermo Alejandro. Fundación para el Estudio de Especies Invasivas; Argentina | es_AR |
dc.subtype | cientifico |
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