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The Functional Response of a Generalist Predator
BACKGROUND: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2877704/ https://www.ncbi.nlm.nih.gov/pubmed/20523722 http://dx.doi.org/10.1371/journal.pone.0010761 |
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author | Smout, Sophie Asseburg, Christian Matthiopoulos, Jason Fernández, Carmen Redpath, Stephen Thirgood, Simon Harwood, John |
author_facet | Smout, Sophie Asseburg, Christian Matthiopoulos, Jason Fernández, Carmen Redpath, Stephen Thirgood, Simon Harwood, John |
author_sort | Smout, Sophie |
collection | PubMed |
description | BACKGROUND: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species. METHODOLOGY AND PRINCIPAL FINDINGS: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low. CONCLUSIONS AND SIGNIFICANCE: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing. |
format | Text |
id | pubmed-2877704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28777042010-06-03 The Functional Response of a Generalist Predator Smout, Sophie Asseburg, Christian Matthiopoulos, Jason Fernández, Carmen Redpath, Stephen Thirgood, Simon Harwood, John PLoS One Research Article BACKGROUND: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species. METHODOLOGY AND PRINCIPAL FINDINGS: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low. CONCLUSIONS AND SIGNIFICANCE: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing. Public Library of Science 2010-05-27 /pmc/articles/PMC2877704/ /pubmed/20523722 http://dx.doi.org/10.1371/journal.pone.0010761 Text en Smout et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Smout, Sophie Asseburg, Christian Matthiopoulos, Jason Fernández, Carmen Redpath, Stephen Thirgood, Simon Harwood, John The Functional Response of a Generalist Predator |
title | The Functional Response of a Generalist Predator |
title_full | The Functional Response of a Generalist Predator |
title_fullStr | The Functional Response of a Generalist Predator |
title_full_unstemmed | The Functional Response of a Generalist Predator |
title_short | The Functional Response of a Generalist Predator |
title_sort | functional response of a generalist predator |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2877704/ https://www.ncbi.nlm.nih.gov/pubmed/20523722 http://dx.doi.org/10.1371/journal.pone.0010761 |
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