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On the use of functional responses to quantify emergent multiple predator effects
Non-independent interactions among predators can have important consequences for the structure and dynamics of ecological communities by enhancing or reducing prey mortality rate through, e.g., predator facilitation or interference. The multiplicative risk model, traditionally used to detect these e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079024/ https://www.ncbi.nlm.nih.gov/pubmed/30082837 http://dx.doi.org/10.1038/s41598-018-30244-9 |
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author | Sentis, Arnaud Boukal, David S. |
author_facet | Sentis, Arnaud Boukal, David S. |
author_sort | Sentis, Arnaud |
collection | PubMed |
description | Non-independent interactions among predators can have important consequences for the structure and dynamics of ecological communities by enhancing or reducing prey mortality rate through, e.g., predator facilitation or interference. The multiplicative risk model, traditionally used to detect these emergent multiple predator effects (MPEs), is biased because it assumes linear functional response (FR) and no prey depletion. To rectify these biases, two approaches based on FR modelling have recently been proposed: the direct FR approach and the population-dynamic approach. Here we compare the strengths, limitations and predictions of the three approaches using simulated data sets. We found that the predictions of the direct FR and the multiplicative risk models are very similar and underestimate predation rates when prey density is high or prey depletion is substantial. As a consequence, these two approaches often fail in detecting risk reduction. Finally, parameters estimated with the direct FR approach lack mechanistic interpretation, which limits the understanding of the mechanisms driving multiple predator interactions and potential extension of this approach to more complex food webs. We thus strongly recommend using the population-dynamic approach because it is robust, precise, and provides a scalable mechanistic framework to detect and quantify MPEs. |
format | Online Article Text |
id | pubmed-6079024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60790242018-08-09 On the use of functional responses to quantify emergent multiple predator effects Sentis, Arnaud Boukal, David S. Sci Rep Article Non-independent interactions among predators can have important consequences for the structure and dynamics of ecological communities by enhancing or reducing prey mortality rate through, e.g., predator facilitation or interference. The multiplicative risk model, traditionally used to detect these emergent multiple predator effects (MPEs), is biased because it assumes linear functional response (FR) and no prey depletion. To rectify these biases, two approaches based on FR modelling have recently been proposed: the direct FR approach and the population-dynamic approach. Here we compare the strengths, limitations and predictions of the three approaches using simulated data sets. We found that the predictions of the direct FR and the multiplicative risk models are very similar and underestimate predation rates when prey density is high or prey depletion is substantial. As a consequence, these two approaches often fail in detecting risk reduction. Finally, parameters estimated with the direct FR approach lack mechanistic interpretation, which limits the understanding of the mechanisms driving multiple predator interactions and potential extension of this approach to more complex food webs. We thus strongly recommend using the population-dynamic approach because it is robust, precise, and provides a scalable mechanistic framework to detect and quantify MPEs. Nature Publishing Group UK 2018-08-06 /pmc/articles/PMC6079024/ /pubmed/30082837 http://dx.doi.org/10.1038/s41598-018-30244-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sentis, Arnaud Boukal, David S. On the use of functional responses to quantify emergent multiple predator effects |
title | On the use of functional responses to quantify emergent multiple predator effects |
title_full | On the use of functional responses to quantify emergent multiple predator effects |
title_fullStr | On the use of functional responses to quantify emergent multiple predator effects |
title_full_unstemmed | On the use of functional responses to quantify emergent multiple predator effects |
title_short | On the use of functional responses to quantify emergent multiple predator effects |
title_sort | on the use of functional responses to quantify emergent multiple predator effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6079024/ https://www.ncbi.nlm.nih.gov/pubmed/30082837 http://dx.doi.org/10.1038/s41598-018-30244-9 |
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