The feasibility of estimating biological parameters using electronic length frequency analysis (ELEFAN): The Bohai Sea as a case study

文献类型： 外文期刊

第一作者： Jin, Yue

作者： Jin, Yue;Jin, Xianshi;Shan, Xiujuan;Jin, Yue;Jin, Xianshi;Shan, Xiujuan;Gorfine, Harry

作者机构：

关键词： Growth; Biological parameter estimation; Population dynamics; Monthly variation; Bohai Sea

期刊名称：REGIONAL STUDIES IN MARINE SCIENCE （ 影响因子：2.4； 五年影响因子：2.4 ）

ISSN： 2352-4855

年卷期： 2025 年 83 卷

页码：

收录情况： SCI

摘要： Biological parameter estimation is crucial for modeling fish population dynamics to inform fishery management. However, biological data are mostly inadequate for the modeling except for few exploited species. Body length is readily obtainable and can be input to ELEFAN (electronic length frequency analysis), offering simplicity and accessibility, albeit with limitations. In order to test the feasibility of estimating biological parameters using ELEFAN, we used fishery independent surveys of stocks in the Bohai Sea (BS), where performance evaluation and revised fisheries management strategies are needed, as a case study. We analyzed the variation in biological characteristics of ten species encompassing teleosts, crustaceans and cephalopod prevalent in the BS, over four consecutive seasons (from December, 2016 to November 2017), selected for their representativeness of biodiversity, varying life history traits, and significance in fisheries. ELEFAN outputs showed that seven of ten species had high (> 0.70) exploitation rates (E), but some values are hard to explain in ecological and economic sense. Long-lived species comprised more cohorts with lower instantaneous mortality rates (Z, F, and M) than shortlived species. High instantaneous mortality rates from ELEFAN likely stem from fishing gear selectivity, seasonal migration, and errors in asymptotic length due to truncated length data. Monthly mean body size distribution variation for each species may reflect spawning behavior and summer fishing moratorium impact. However, feeding ecology and breeding strategies should be enhanced due to current insufficient data collection. We clarified the current biological status and ecological importance of these species, provided population dynamic parameters for fisheries management and baseline information for future comparison of long-term biological variation among species. This may serve as guidance for practitioners in other countries deciding upon what kinds of data should be collected for scientific assessments of their fisheries, and caution is needed when using ELEFAN for parameter estimation.

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