期刊
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
卷 77, 期 5, 页码 857-868出版社
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cjfas-2018-0500
关键词
-
资金
- National Key R&D Program of China [2017YFE0104400]
- National Natural Science Foundation of China [31902375]
- Pilot National Laboratory for Marine Science and Technology (Qingdao), China [2017ASTCP-ES07]
- Taishan Scholar Project Special Fund
- Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao) [2018-MFS-T03, 2016LMFS-B13]
As most exploited fisheries lack a coherent time series of biomass index, development of data-limited stock assessment methods such as stock reduction analysis (SRA), is critical for fishery stock assessment due to their modest data requirements for estimating stock status and overfishing catch limits. In this study, we propose that sporadic time series of biomass indices, if available, may be fully utilized to inform priors of recent relative biomass (BT/B1) for data-limited stocks. We evaluated the performance of SRA incorporating this index-based prior by comparing two other common SRA priors (a deterministic prior set at 40% of the unfished biomass and a catch-based prior) with estimates from the likelihood-based assessments of 91 fish stocks from the RAM Legacy database. We extended our analysis by evaluating performance based on life history attributes and two depletion levels with B-T/B-MSY equaling 1 as the breakpoint. Results suggest index-based priors enhance accuracy for fish stocks at both depletion levels. We demonstrate that performance of SRA can be affected by three factors: the reliability of priors for BT/B1, recent depletion level, and life history.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据