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Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components

The multi-scalar complexity of social-ecological systems makes it challenging to quantify impacts from human activities on ecosystems, inspiring risk-based approaches to assessments of potential effects of human activities on valued ecosystem components. Risk assessments do not commonly include the...

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Autores principales: Murray, Cathryn Clarke, Mach, Megan E., Martone, Rebecca G., Singh, Gerald G., O, Miriam, Chan, Kai M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024992/
https://www.ncbi.nlm.nih.gov/pubmed/27632287
http://dx.doi.org/10.1371/journal.pone.0162932
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author Murray, Cathryn Clarke
Mach, Megan E.
Martone, Rebecca G.
Singh, Gerald G.
O, Miriam
Chan, Kai M. A.
author_facet Murray, Cathryn Clarke
Mach, Megan E.
Martone, Rebecca G.
Singh, Gerald G.
O, Miriam
Chan, Kai M. A.
author_sort Murray, Cathryn Clarke
collection PubMed
description The multi-scalar complexity of social-ecological systems makes it challenging to quantify impacts from human activities on ecosystems, inspiring risk-based approaches to assessments of potential effects of human activities on valued ecosystem components. Risk assessments do not commonly include the risk from indirect effects as mediated via habitat and prey. In this case study from British Columbia, Canada, we illustrate how such “indirect risks” can be incorporated into risk assessments for seventeen ecosystem components. We ask whether (i) the addition of indirect risk changes the at-risk ranking of the seventeen ecosystem components and if (ii) risk scores correlate with trophic prey and habitat linkages in the food web. Even with conservative assumptions about the transfer of impacts or risks from prey species and habitats, the addition of indirect risks in the cumulative risk score changes the ranking of priorities for management. In particular, resident orca, Steller sea lion, and Pacific herring all increase in relative risk, more closely aligning these species with their “at-risk status” designations. Risk assessments are not a replacement for impact assessments, but—by considering the potential for indirect risks as we demonstrate here—they offer a crucial complementary perspective for the management of ecosystems and the organisms within.
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spelling pubmed-50249922016-09-27 Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components Murray, Cathryn Clarke Mach, Megan E. Martone, Rebecca G. Singh, Gerald G. O, Miriam Chan, Kai M. A. PLoS One Research Article The multi-scalar complexity of social-ecological systems makes it challenging to quantify impacts from human activities on ecosystems, inspiring risk-based approaches to assessments of potential effects of human activities on valued ecosystem components. Risk assessments do not commonly include the risk from indirect effects as mediated via habitat and prey. In this case study from British Columbia, Canada, we illustrate how such “indirect risks” can be incorporated into risk assessments for seventeen ecosystem components. We ask whether (i) the addition of indirect risk changes the at-risk ranking of the seventeen ecosystem components and if (ii) risk scores correlate with trophic prey and habitat linkages in the food web. Even with conservative assumptions about the transfer of impacts or risks from prey species and habitats, the addition of indirect risks in the cumulative risk score changes the ranking of priorities for management. In particular, resident orca, Steller sea lion, and Pacific herring all increase in relative risk, more closely aligning these species with their “at-risk status” designations. Risk assessments are not a replacement for impact assessments, but—by considering the potential for indirect risks as we demonstrate here—they offer a crucial complementary perspective for the management of ecosystems and the organisms within. Public Library of Science 2016-09-15 /pmc/articles/PMC5024992/ /pubmed/27632287 http://dx.doi.org/10.1371/journal.pone.0162932 Text en © 2016 Murray et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Murray, Cathryn Clarke
Mach, Megan E.
Martone, Rebecca G.
Singh, Gerald G.
O, Miriam
Chan, Kai M. A.
Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title_full Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title_fullStr Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title_full_unstemmed Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title_short Supporting Risk Assessment: Accounting for Indirect Risk to Ecosystem Components
title_sort supporting risk assessment: accounting for indirect risk to ecosystem components
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024992/
https://www.ncbi.nlm.nih.gov/pubmed/27632287
http://dx.doi.org/10.1371/journal.pone.0162932
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