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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0288445&type=printable |
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| author | Nikos E Papanikolaou Hayden Moffat Argyro Fantinou Dionysios P Perdikis Michael Bode Christopher Drovandi |
| author_facet | Nikos E Papanikolaou Hayden Moffat Argyro Fantinou Dionysios P Perdikis Michael Bode Christopher Drovandi |
| author_sort | Nikos E Papanikolaou |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-cf8223d95ed1488094f8d36302b0ae6a |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-cf8223d95ed1488094f8d36302b0ae6a2025-08-20T03:42:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01187e028844510.1371/journal.pone.0288445Adaptive experimental design produces superior and more efficient estimates of predator functional response.Nikos E PapanikolaouHayden MoffatArgyro FantinouDionysios P PerdikisMichael BodeChristopher DrovandiEcological 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0288445&type=printable |
| spellingShingle | Nikos E Papanikolaou Hayden Moffat Argyro Fantinou Dionysios P Perdikis Michael Bode Christopher Drovandi Adaptive experimental design produces superior and more efficient estimates of predator functional response. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0288445&type=printable |
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