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Fishing pressure and lifespan affect the estimation of growth parameters using ELEFAN
Fisheries Research ( IF 2.4 ) Pub Date : 2021-02-19 , DOI: 10.1016/j.fishres.2021.105903
Kun Wang , Chongliang Zhang , Ming Sun , Binduo Xu , Yupeng Ji , Ying Xue , Yiping Ren

Length-based methods of stock assessment to support scientific fisheries management are desirable in data-limited fisheries where formal stock assessments are commonly constrained. Based on length-frequency (LFQ) data, Electronic length frequency analysis (ELEFAN) is widely used to fit growth curves, but the performance of this method is sensitive to various factors especially the quality of data. Fishing pressure is one of the main drivers that modify the length composition of fish stocks, but the consequent effects on ELEFAN are not well understood. This study aims to clarify the role of fishing pressure on the performance of ELEFAN given fish species with different life history traits. We designed a simulation-estimation framework to simulate the population dynamics of short-, medium-, and long-lived fish species, and to evaluate the performance of ELEFAN under varying fishing scenarios. The simulation results demonstrate that ELEFAN is robust to changes in size-structure due to fishing, while its accuracy and precision of outputs depends on the intensity of fishing pressure and the life-history characteristics. The estimates of the parameters of the von-Bertalanffy growth function (VBGF) are reliable in short- and medium-lived species, while for long-lived species, fishing may substantially bias the estimates depending on the intensity of fishing pressure. ELEFAN may yield >70% bias in the estimates of K along with large confidence intervals for long-lived species subject to heavy fishing intensity. ELEFAN will perform such better with prior knowledge about quantities such as lifespan. This study may contribute to the understanding of the reliability of ELEFAN for exploited fisheries and to increasing confidence for adopting ELEFAN in data-limited fisheries.



中文翻译:

捕捞压力和寿命影响使用ELEFAN估算生长参数

在通常受限于正式种群评估的数据有限的渔业中,需要采用基于长度的种群评估方法来支持科学渔业管理。基于长度频率(LFQ)数据,电子长度频率分析(ELEFAN)被广泛用于拟合增长曲线,但是此方法的性能对各种因素(尤其是数据质量)敏感。捕捞压力是改变鱼类种群长度构成的主要驱动因素之一,但其对ELEFAN的影响尚不清楚。这项研究旨在阐明给定具有不同生活史特征的鱼类,捕捞压力对ELEFAN性能的影响。我们设计了一个模拟估算框架来模拟短,中和长寿命鱼类的种群动态,并评估ELEFAN在不同捕鱼情况下的性能。仿真结果表明,ELEFAN对于捕捞引起的尺寸结构变化具有鲁棒性,而其输出的准确性和精确度则取决于捕捞压力的强度和生活史特征。von-Bertalanffy生长函数(VBGF)的参数估计值在短寿命和中等寿命物种中是可靠的,而对于长寿命物种,捕鱼可能会严重依赖于捕鱼压力的强度。ELEFAN的估算值可能会产生> 70%的偏差 其输出的准确性和精度取决于捕鱼压力的强度和生活史特征。von-Bertalanffy生长函数(VBGF)的参数估计值在短寿命和中等寿命物种中是可靠的,而对于长寿命物种,捕鱼可能会根据捕鱼压力的强度而大大偏离估计值。ELEFAN的估算值可能会产生> 70%的偏差 其输出的准确性和精确度取决于捕鱼压力的强度和生活史特征。von-Bertalanffy生长函数(VBGF)的参数估计值在短寿命和中等寿命物种中是可靠的,而对于长寿命物种,捕鱼可能会严重依赖于捕鱼压力的强度。ELEFAN的估算值可能会产生> 70%的偏差对于长期处于沉重捕捞强度的物种,K以及较大的置信区间。ELEFAN将凭借诸如寿命之类的数量的先验知识而表现得更好。这项研究可能有助于理解ELEFAN在被开发渔业中的可靠性,并有助于增加在数据有限的渔业中采用ELEFAN的信心。

更新日期:2021-02-21
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