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A novel metric reveals biotic resistance potential and informs predictions of invasion success
Invasive species continue to proliferate and detrimentally impact ecosystems on a global scale. Whilst impacts are well-documented for many invaders, we lack tools to predict biotic resistance and invasion success. Biotic resistance from communities may be a particularly important determinant of the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814831/ https://www.ncbi.nlm.nih.gov/pubmed/31653905 http://dx.doi.org/10.1038/s41598-019-51705-9 |
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author | Cuthbert, Ross N. Callaghan, Amanda Dick, Jaimie T. A. |
author_facet | Cuthbert, Ross N. Callaghan, Amanda Dick, Jaimie T. A. |
author_sort | Cuthbert, Ross N. |
collection | PubMed |
description | Invasive species continue to proliferate and detrimentally impact ecosystems on a global scale. Whilst impacts are well-documented for many invaders, we lack tools to predict biotic resistance and invasion success. Biotic resistance from communities may be a particularly important determinant of the success of invaders. The present study develops traditional ecological concepts to better understand and quantify biotic resistance. We quantified predation towards the highly invasive Asian tiger mosquito Aedes albopictus and a representative native mosquito Culex pipiens by three native and widespread cyclopoid copepods, using functional response and prey switching experiments. All copepods demonstrated higher magnitude type II functional responses towards the invasive prey over the analogous native prey, aligned with higher attack and maximum feeding rates. All predators exhibited significant, frequency-independent prey preferences for the invader. With these results, we developed a novel metric for biotic resistance which integrates predator numerical response proxies, revealing differential biotic resistance potential among predators. Our results are consistent with field patterns of biotic resistance and invasion success, illustrating the predictive capacity of our methods. We thus propose the further development of traditional ecological concepts, such as functional responses, numerical responses and prey switching, in the evaluation of biotic resistance and invasion success. |
format | Online Article Text |
id | pubmed-6814831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68148312019-10-30 A novel metric reveals biotic resistance potential and informs predictions of invasion success Cuthbert, Ross N. Callaghan, Amanda Dick, Jaimie T. A. Sci Rep Article Invasive species continue to proliferate and detrimentally impact ecosystems on a global scale. Whilst impacts are well-documented for many invaders, we lack tools to predict biotic resistance and invasion success. Biotic resistance from communities may be a particularly important determinant of the success of invaders. The present study develops traditional ecological concepts to better understand and quantify biotic resistance. We quantified predation towards the highly invasive Asian tiger mosquito Aedes albopictus and a representative native mosquito Culex pipiens by three native and widespread cyclopoid copepods, using functional response and prey switching experiments. All copepods demonstrated higher magnitude type II functional responses towards the invasive prey over the analogous native prey, aligned with higher attack and maximum feeding rates. All predators exhibited significant, frequency-independent prey preferences for the invader. With these results, we developed a novel metric for biotic resistance which integrates predator numerical response proxies, revealing differential biotic resistance potential among predators. Our results are consistent with field patterns of biotic resistance and invasion success, illustrating the predictive capacity of our methods. We thus propose the further development of traditional ecological concepts, such as functional responses, numerical responses and prey switching, in the evaluation of biotic resistance and invasion success. Nature Publishing Group UK 2019-10-25 /pmc/articles/PMC6814831/ /pubmed/31653905 http://dx.doi.org/10.1038/s41598-019-51705-9 Text en © The Author(s) 2019 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 Cuthbert, Ross N. Callaghan, Amanda Dick, Jaimie T. A. A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title | A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title_full | A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title_fullStr | A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title_full_unstemmed | A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title_short | A novel metric reveals biotic resistance potential and informs predictions of invasion success |
title_sort | novel metric reveals biotic resistance potential and informs predictions of invasion success |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814831/ https://www.ncbi.nlm.nih.gov/pubmed/31653905 http://dx.doi.org/10.1038/s41598-019-51705-9 |
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