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Adaptive experimental design produces superior and more efficient estimates of predator functional response

Ecological dynamics are strongly influenced by the relationship between prey density and predator feeding behavior—that is, the predatory functional response. A useful understanding of this relationship requires us to distinguish between competing models of the functional response, and to robustly e...

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Autores principales: Papanikolaou, Nikos E., Moffat, Hayden, Fantinou, Argyro, Perdikis, Dionysios P., Bode, Michael, Drovandi, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358903/
https://www.ncbi.nlm.nih.gov/pubmed/37471391
http://dx.doi.org/10.1371/journal.pone.0288445
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author Papanikolaou, Nikos E.
Moffat, Hayden
Fantinou, Argyro
Perdikis, Dionysios P.
Bode, Michael
Drovandi, Christopher
author_facet Papanikolaou, Nikos E.
Moffat, Hayden
Fantinou, Argyro
Perdikis, Dionysios P.
Bode, Michael
Drovandi, Christopher
author_sort Papanikolaou, Nikos E.
collection PubMed
description Ecological dynamics are strongly influenced by the relationship between prey density and predator feeding behavior—that is, the predatory functional response. A useful understanding of this relationship requires us to distinguish between competing models of the functional response, and to robustly estimate the model parameters. Recent advances in this topic have revealed bias in model comparison, as well as in model parameter estimation in functional response studies, mainly attributed to the quality of data. Here, we propose that an adaptive experimental design framework can mitigate these challenges. We then present the first practical demonstration of the improvements it offers over standard experimental design. Our results reveal that adaptive design can efficiently identify the preferred functional response model among the competing models, and can produce much more precise posterior distributions for the estimated functional response parameters. By increasing the efficiency of experimentation, adaptive experimental design will lead to reduced logistical burden.
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spelling pubmed-103589032023-07-21 Adaptive experimental design produces superior and more efficient estimates of predator functional response Papanikolaou, Nikos E. Moffat, Hayden Fantinou, Argyro Perdikis, Dionysios P. Bode, Michael Drovandi, Christopher PLoS One Research Article Ecological dynamics are strongly influenced by the relationship between prey density and predator feeding behavior—that is, the predatory functional response. A useful understanding of this relationship requires us to distinguish between competing models of the functional response, and to robustly estimate the model parameters. Recent advances in this topic have revealed bias in model comparison, as well as in model parameter estimation in functional response studies, mainly attributed to the quality of data. Here, we propose that an adaptive experimental design framework can mitigate these challenges. We then present the first practical demonstration of the improvements it offers over standard experimental design. Our results reveal that adaptive design can efficiently identify the preferred functional response model among the competing models, and can produce much more precise posterior distributions for the estimated functional response parameters. By increasing the efficiency of experimentation, adaptive experimental design will lead to reduced logistical burden. Public Library of Science 2023-07-20 /pmc/articles/PMC10358903/ /pubmed/37471391 http://dx.doi.org/10.1371/journal.pone.0288445 Text en © 2023 Papanikolaou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Papanikolaou, Nikos E.
Moffat, Hayden
Fantinou, Argyro
Perdikis, Dionysios P.
Bode, Michael
Drovandi, Christopher
Adaptive experimental design produces superior and more efficient estimates of predator functional response
title Adaptive experimental design produces superior and more efficient estimates of predator functional response
title_full Adaptive experimental design produces superior and more efficient estimates of predator functional response
title_fullStr Adaptive experimental design produces superior and more efficient estimates of predator functional response
title_full_unstemmed Adaptive experimental design produces superior and more efficient estimates of predator functional response
title_short Adaptive experimental design produces superior and more efficient estimates of predator functional response
title_sort adaptive experimental design produces superior and more efficient estimates of predator functional response
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358903/
https://www.ncbi.nlm.nih.gov/pubmed/37471391
http://dx.doi.org/10.1371/journal.pone.0288445
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