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考虑空间、经济、生物和气候因素预测全球金枪鱼脆弱性。

Predicting global tuna vulnerabilities with spatial, economic, biological and climatic considerations.

机构信息

Centre for Marine Socioecology, University of Tasmania, GPO Box 252-49, Hobart, Tasmania, 7001, Australia.

Institute for Marine and Antarctic Studies, Centre for Fisheries and Aquaculture, University Tasmania, Private Bag 49, Hobart, 7001, Tasmania, Australia.

出版信息

Sci Rep. 2018 Jul 12;8(1):10572. doi: 10.1038/s41598-018-28805-z.

DOI:10.1038/s41598-018-28805-z
PMID:30002457
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6043545/
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/F). To do this we examined F/F 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 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.

摘要

过度捕捞影响可持续发展的三大支柱

社会、生态和经济。金枪鱼占全球海鲜市场的重要部分,年价值超过 420 亿美元,容易受到过度捕捞的影响。我们对社会和经济驱动因素如何导致过度开发的理解还不够完善。我们通过整合社会、生态和经济指标来解决这个问题,以帮助预测捕捞状况的变化,即相对于支持最大可持续产量的水平的捕捞死亡率(F/F)。为此,我们研究了全球海洋中 80 多个国家捕捞的 23 个种群的 F/F。低人类发展指数国家面临着我们所研究的金枪鱼种群过度开发的最大风险,经济和社会发展的增加并不总是与种群状况的改善相关。在短期内,冷冻价格是 F/F 的主要预测指标,这为市场动态和捕捞量之间建立了积极的联系。考虑到低收入地区对海鲜的依赖,需要采取更好的措施来防范渔业过度开发,以应对全球变化和不确定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/2105af7ee8bf/41598_2018_28805_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/8bd5a772dbe8/41598_2018_28805_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/c00b38e1aa0e/41598_2018_28805_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/5d39f2085f98/41598_2018_28805_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/e9a0b9adcbef/41598_2018_28805_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/2105af7ee8bf/41598_2018_28805_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/8bd5a772dbe8/41598_2018_28805_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/c00b38e1aa0e/41598_2018_28805_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/5d39f2085f98/41598_2018_28805_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/e9a0b9adcbef/41598_2018_28805_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6b/6043545/2105af7ee8bf/41598_2018_28805_Fig5_HTML.jpg

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