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Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations
Citation
Tidd, A and Blanchard, JL and Kell, L and Watson, RA, Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations, Scientific Reports, 8 Article 10572. ISSN 2045-2322 (2018) [Refereed Article]
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Copyright Statement
© 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
DOI: doi:10.1038/s41598-018-28805-z
Abstract
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/FMSY). To do this we examined F/FMSY 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/FMSY 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.
Item Details
Item Type: | Refereed Article |
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Keywords: | tuna, global, climate change, overfishing, maximum sustainable yield |
Research Division: | Agricultural, Veterinary and Food Sciences |
Research Group: | Fisheries sciences |
Research Field: | Aquaculture and fisheries stock assessment |
Objective Division: | Environmental Policy, Climate Change and Natural Hazards |
Objective Group: | Adaptation to climate change |
Objective Field: | Social impacts of climate change and variability |
UTAS Author: | Tidd, A (Dr Alexander Tidd) |
UTAS Author: | Blanchard, JL (Dr Julia Blanchard) |
UTAS Author: | Watson, RA (Professor Reginald Watson) |
ID Code: | 127160 |
Year Published: | 2018 |
Funding Support: | Australian Research Council (DP140101377) |
Web of Science® Times Cited: | 2 |
Deposited By: | Fisheries and Aquaculture |
Deposited On: | 2018-07-15 |
Last Modified: | 2018-11-27 |
Downloads: | 62 View Download Statistics |
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