A coupled VAST-JARA-AMSY framework for understanding the spatio-temporal dynamics of small pelagic fishes and improving the accuracy of fisheries management

文献类型： 外文期刊

第一作者： Han, Qingpeng

作者： Han, Qingpeng;Shan, Xiujuan;Jin, Xianshi;Chen, Yunlong;Shan, Xiujuan;Jin, Xianshi;Shan, Xiujuan;Jin, Xianshi;Gorfine, Harry

作者机构：

关键词： Effective resource conservation; Spatio-temporal dynamics; Stock assessment; Red List assessment; Coupled VAST-JARA-AMSY framework; Spatial fishery management

期刊名称：REVIEWS IN FISH BIOLOGY AND FISHERIES （ 影响因子：4.6； 五年影响因子：6.1 ）

ISSN： 0960-3166

年卷期： 2025 年

页码：

收录情况： SCI

摘要： Spatially explicit and accurate resource assessment to inform management strategies is essential to the implementation of policies for sustainable fishery resources and fostering marine biodiversity. Considering data constraints and population variability characteristics, we developed a data-moderate coupled framework to improve resource assessment for small marine pelagic fishes. We combined the VAST (Vector autoregressive spatio-temporal) spatial analysis model with two assessment models (the marine fish Red-List assessment model-JARA and the stock assessment model-AMSY) into a framework (coupled VAST-JARA-AMSY) to better elucidate stock status and facilitate improved fisheries management strategies. We applied this framework to study the anchovy stock in the Bohai Sea. The spatio-temporal module in the model framework revealed that the stock was affected by multiple pressures (water temperature, regional climate indices, and fishing pressure) and distributional changes in the pattern of density hotspots, and provided accurate biomass indices and their standard errors as inputs to the JARA and AMSY modules. The outputs from JARA and AMSY indicated that the stock has recovered to sustainable levels in recent years. VAST also provided spatial habitat information for further interpretation of JARA and AMSY stock assessment results to support conservation of anchovy resources.

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