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Large-scale variation in density of an aquatic ecosystem indicator species
Monitoring indicator species is a pragmatic approach to natural resource assessments, especially when the link between the indicator species and ecosystem state is well justified. However, conducting ecosystem assessments over representative spatial scales that are insensitive to local heterogeneity...
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/PMC5997698/ https://www.ncbi.nlm.nih.gov/pubmed/29895946 http://dx.doi.org/10.1038/s41598-018-26847-x |
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author | Sutherland, Chris Fuller, Angela K. Royle, J. Andrew Hare, Matthew P. Madden, Sean |
author_facet | Sutherland, Chris Fuller, Angela K. Royle, J. Andrew Hare, Matthew P. Madden, Sean |
author_sort | Sutherland, Chris |
collection | PubMed |
description | Monitoring indicator species is a pragmatic approach to natural resource assessments, especially when the link between the indicator species and ecosystem state is well justified. However, conducting ecosystem assessments over representative spatial scales that are insensitive to local heterogeneity is challenging. We examine the link between polychlorinated biphenyl (PCB) contamination and population density of an aquatic habitat specialist over a large spatial scale using non-invasive genetic spatial capture-recapture. Using American mink (Neovison vison), a predatory mammal and an indicator of aquatic ecosystems, we compared estimates of density in two major river systems, one with extremely high levels of PCB contamination (Hudson River), and a hydrologically independent river with lower PCB levels (Mohawk River). Our work supports the hypothesis that mink densities are substantially (1.64–1.67 times) lower in the contaminated river system. We demonstrate the value of coupling the indicator species concept with well-conceived and spatially representative monitoring protocols. PCBs have demonstrable detrimental effects on aquatic ecosystems, including mink, and these effects are likely to be profound and long-lasting, manifesting as population-level impacts. Through integrating non-invasive data collection, genetic analysis, and spatial capture-recapture methods, we present a monitoring framework for generating robust density estimates across large spatial scales. |
format | Online Article Text |
id | pubmed-5997698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59976982018-06-21 Large-scale variation in density of an aquatic ecosystem indicator species Sutherland, Chris Fuller, Angela K. Royle, J. Andrew Hare, Matthew P. Madden, Sean Sci Rep Article Monitoring indicator species is a pragmatic approach to natural resource assessments, especially when the link between the indicator species and ecosystem state is well justified. However, conducting ecosystem assessments over representative spatial scales that are insensitive to local heterogeneity is challenging. We examine the link between polychlorinated biphenyl (PCB) contamination and population density of an aquatic habitat specialist over a large spatial scale using non-invasive genetic spatial capture-recapture. Using American mink (Neovison vison), a predatory mammal and an indicator of aquatic ecosystems, we compared estimates of density in two major river systems, one with extremely high levels of PCB contamination (Hudson River), and a hydrologically independent river with lower PCB levels (Mohawk River). Our work supports the hypothesis that mink densities are substantially (1.64–1.67 times) lower in the contaminated river system. We demonstrate the value of coupling the indicator species concept with well-conceived and spatially representative monitoring protocols. PCBs have demonstrable detrimental effects on aquatic ecosystems, including mink, and these effects are likely to be profound and long-lasting, manifesting as population-level impacts. Through integrating non-invasive data collection, genetic analysis, and spatial capture-recapture methods, we present a monitoring framework for generating robust density estimates across large spatial scales. Nature Publishing Group UK 2018-06-12 /pmc/articles/PMC5997698/ /pubmed/29895946 http://dx.doi.org/10.1038/s41598-018-26847-x 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 Sutherland, Chris Fuller, Angela K. Royle, J. Andrew Hare, Matthew P. Madden, Sean Large-scale variation in density of an aquatic ecosystem indicator species |
title | Large-scale variation in density of an aquatic ecosystem indicator species |
title_full | Large-scale variation in density of an aquatic ecosystem indicator species |
title_fullStr | Large-scale variation in density of an aquatic ecosystem indicator species |
title_full_unstemmed | Large-scale variation in density of an aquatic ecosystem indicator species |
title_short | Large-scale variation in density of an aquatic ecosystem indicator species |
title_sort | large-scale variation in density of an aquatic ecosystem indicator species |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997698/ https://www.ncbi.nlm.nih.gov/pubmed/29895946 http://dx.doi.org/10.1038/s41598-018-26847-x |
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