Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods

SUN Ming; ZHANG Chongliang; LI Yunzhou; XU Binduo; XUE Ying; REN Yiping

doi:10.11964/jfc.20170910964

Volume 42 Issue 10

Sep. 2018

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Journal of fisheries of china > 2018 > 42(10): 1661-1669. > DOI: 10.11964/jfc.20170910964

SUN Ming, ZHANG Chongliang, LI Yunzhou, XU Binduo, XUE Ying, REN Yiping. Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods[J]. Journal of fisheries of china, 2018, 42(10): 1661-1669. DOI: 10.11964/jfc.20170910964

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Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods

1.
College of Fisheries, Ocean University of China, Qingdao 266003, China
2.
Qingdao Laboratory for Marine Fisheries Science and Food Production Processes, National Laboratory for Marine Science and Technology, Qingdao 266237, China

Funds: Funds for the Central Universities (201612004); National Natural Science Foundation of China (31772852)

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Corresponding author:
REN Yiping. E-mail: renyip@ouc.edu.cn
Received Date: September 10, 2017
Revised Date: October 30, 2017
Available Online: July 06, 2018
Published Date: September 30, 2018

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Data-limited stock assessment with Data-Limited Methods (DLMs) is capable of evaluating and managing data-limited fisheries and widely used in the world. Fisheries in China are at high risk of overfishing but meanwhile subject to limited data, which makes DLMs the optimal scientific advisory tools to support management. However, DLMs are rarely studied and implemented in China. In order to examine the effectiveness of DLMs in China, the present study conducts management strategy evaluation (MSE) with four data-limited management procedures (MPs) on silvery pomfret (Pampus argenteus), small yellow croaker (Larimichthys polyactis), greenling (Hexagrammos otakii), and lizardfish (Saurida elongate) from Haizhou Bay. According to the results, MPs based on DLMs are proved to be sustainable fisheries management methods by effectively enhancing the spawning stock biomass of overfished stocks while maintaining a considerable level of yield. The length-based MPs (matlenlim and minlenLopt) outperformed the effort-based MPs (CurE and CurE75) with better trade-offs between yields and overfishing. The results also suggest that, with the implementation of DLMs, the overfished status of silvery pomfret and greenling can be improved, and the lizardfish stock can be better exploited. DLMs with the small yellow croaker stock are subject to fluctuation and uncertainty. In general, DLMs have broad application prospect in China.
- fishery,
- sock assessment,
- management strategy evaluation (MSE),
- Data-Limited Methods (DLMs),
- Haizhou Bay

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Management strategy evaluation of fishery stocks in Haizhou Bay based on Data-Limited Methods

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