Cargando…
Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations
Overfishing impacts the three pillars of sustainability: social, ecological and economic. Tuna represent a significant part of the global seafood market with an annual value exceeding USD$42B and are vulnerable to overfishing. Our understanding of how social and economic drivers contribute to overex...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043545/ https://www.ncbi.nlm.nih.gov/pubmed/30002457 http://dx.doi.org/10.1038/s41598-018-28805-z |
_version_ | 1783339304221671424 |
---|---|
author | Tidd, Alex Blanchard, Julia L. Kell, Laurence Watson, Reg A. |
author_facet | Tidd, Alex Blanchard, Julia L. Kell, Laurence Watson, Reg A. |
author_sort | Tidd, Alex |
collection | PubMed |
description | Overfishing impacts the three pillars of sustainability: social, ecological and economic. Tuna represent a significant part of the global seafood market with an annual value exceeding USD$42B and are vulnerable to overfishing. Our understanding of how social and economic drivers contribute to overexploitation is not well developed. We address this problem by integrating social, ecological and economic indicators to help predict changes in exploitation status, namely fishing mortality relative to the level that would support the maximum sustainable yield (F/F(MSY)). To do this we examined F/F(MSY) for 23 stocks exploited by more than 80 states across the world’s oceans. Low-HDI countries were most at risk of overexploitation of the tuna stocks we examined and increases in economic and social development were not always associated with improved stock status. In the short-term frozen price was a dominant predictor of F/F(MSY) providing a positive link between the market dynamics and the quantity of fish landed. Given the dependence on seafood in low-income regions, improved measures to safeguard against fisheries overexploitation in the face of global change and uncertainty are needed. |
format | Online Article Text |
id | pubmed-6043545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60435452018-07-15 Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations Tidd, Alex Blanchard, Julia L. Kell, Laurence Watson, Reg A. Sci Rep Article Overfishing impacts the three pillars of sustainability: social, ecological and economic. Tuna represent a significant part of the global seafood market with an annual value exceeding USD$42B and are vulnerable to overfishing. Our understanding of how social and economic drivers contribute to overexploitation is not well developed. We address this problem by integrating social, ecological and economic indicators to help predict changes in exploitation status, namely fishing mortality relative to the level that would support the maximum sustainable yield (F/F(MSY)). To do this we examined F/F(MSY) for 23 stocks exploited by more than 80 states across the world’s oceans. Low-HDI countries were most at risk of overexploitation of the tuna stocks we examined and increases in economic and social development were not always associated with improved stock status. In the short-term frozen price was a dominant predictor of F/F(MSY) providing a positive link between the market dynamics and the quantity of fish landed. Given the dependence on seafood in low-income regions, improved measures to safeguard against fisheries overexploitation in the face of global change and uncertainty are needed. Nature Publishing Group UK 2018-07-12 /pmc/articles/PMC6043545/ /pubmed/30002457 http://dx.doi.org/10.1038/s41598-018-28805-z 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 Tidd, Alex Blanchard, Julia L. Kell, Laurence Watson, Reg A. Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title | Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title_full | Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title_fullStr | Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title_full_unstemmed | Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title_short | Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
title_sort | predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6043545/ https://www.ncbi.nlm.nih.gov/pubmed/30002457 http://dx.doi.org/10.1038/s41598-018-28805-z |
work_keys_str_mv | AT tiddalex predictingglobaltunavulnerabilitieswithspatialeconomicbiologicalandclimaticconsiderations AT blanchardjulial predictingglobaltunavulnerabilitieswithspatialeconomicbiologicalandclimaticconsiderations AT kelllaurence predictingglobaltunavulnerabilitieswithspatialeconomicbiologicalandclimaticconsiderations AT watsonrega predictingglobaltunavulnerabilitieswithspatialeconomicbiologicalandclimaticconsiderations |