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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10358903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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