Sustainability Status of Data-Limited Fisheries: Global Challenges for Snapper and Grouper

被引:35
作者
Amorimw, Patricia [1 ,2 ,3 ]
Sousa, Pedro [3 ]
Jardim, Ernesto [4 ]
Menezes, Gui M. [1 ]
机构
[1] Univ Azores, Dept Oceanog & Fisheries DOP, Horta, Portugal
[2] Inst Marine Res IMAR, Marine & Environm Sci Ctr MARE, Azores, Portugal
[3] Sustainable Fisheries Partnership Fdn SFP, Honolulu, HI 96816 USA
[4] European Commiss, JRC, Directorate Sustainable Resources, Water & Marine Resources Unit, Ispra, Italy
关键词
data-limited fisheries; indices; grouper; snapper; stock status; CATCH-BASED METHOD; DATA-POOR FISHERIES; HARVEST STRATEGIES; REFERENCE POINTS; STOCK STATUS; FISH; REEF; CALIFORNIA; ABUNDANCE; EVALUATE;
D O I
10.3389/fmars.2019.00654
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Snapper and grouper are important fisheries resources, with high commercial value and an important role in the livelihoods and food security of many local communities worldwide. However, the status of many snapper and grouper fisheries is unknown, particularly in the cases of small-scale fisheries in developing countries. The main goals of this work are to provide an overview of the current status and trends of these resources and to find alternative sources of information that could be used to determine the status of snapper and grouper fisheries, as well as other data-limited fisheries. Several complementary approaches were explored, including determination of the status of snapper and grouper fisheries based on FAO assessment criteria, analysis of landings time-series trends, and investigation of whether other variables could be used as proxies for fishery status. About half of these fisheries were classified as overexploited, 30% as non-fully exploited and 19% as fully exploited. The FAO landings data indicated that the number of overexploited fisheries has been increasing over the years and that the majority of these fisheries are in transition between the fully exploited and overexploited statuses. The Human Development Index emerged as a potential proxy for the status of the biomass. The multinomial modeling approach explained about 44% of the variability observed in the biomass stock status classification data and indicated a high level of correspondence between original and estimated status, which makes this approach very attractive for application to other data-limited fisheries.
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页数:17
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