Development of a simple R package (aLBI) for the estimation of stock status from the length frequency data

IF 2.3 2区农林科学 Q2 FISHERIES

Fisheries Research Pub Date : 2025-07-11 DOI:10.1016/j.fishres.2025.107467

Ataher Ali , Mitu Ranjan Sarker , Mohammed Shahidul Alam

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引用次数: 0

Abstract

Stock assessment is a difficult task for sustainable fisheries management especially when population and fisheries data are limited. This study aims to develop an accessible and tested R package (aLBI) that applies length frequency and provides functions for estimating length-based indicators (LBIs) to measure stock health. The primary objective is to streamline the calculation and visualization of the estimated metrics for a clear understanding. The package includes two main functions, i.e., FishPar (for calculating key LBIs such as maximum length (L_max), asymptotic length (L_∞), length at sexual maturity (L_mat), optimum length (L_opt), L_opt±10 % (L_{opt_p10}, L_{opt_m10}), and percentages of fish at maturity (P_mat), optimum length (P_opt), and mega spawners (P_mega) with confidence intervals) and FishSS for evaluating stock biomass status. This study also evaluated the performance of the package by applying length frequency data of Sperata aor collected from Kaptai Lake. The findings with a calculated optimum bin size of three (cm) demonstrate its utility in producing acceptable stock assessments, with mean estimates for L_max, L_∞, L_mat, and L_opt at 78.01 cm, 82.12 cm, 43.73 cm, and 47.03 cm, respectively, as well as respective confidence intervals. Besides, percentages of sexually mature fish, optimum length, and mega spawners are 2.04 %, 2.38 %, and 0.35 %, against targets of 100 %, 100 %, and 20 % respectively. By integrating advanced statistical methods and user-friendly interfaces, aLBI enables effective monitoring of fish populations and informed decision-making. Tested on various bin size (1–5 cm) with the collected length frequency data, the package performed consistently. Future recommendations include expanding functionality to cover more species and integrating additional biological parameters for enhanced stock assessments. Continued collaboration with the fisheries science community will ensure aLBI remains a cutting-edge tool for sustainable fisheries practices.

查看原文本刊更多论文

开发了一个简单的R包（aLBI），用于从长度频率数据估计库存状态

种群评估是可持续渔业管理的一项艰巨任务，特别是在人口和渔业数据有限的情况下。本研究旨在开发一个可访问且可测试的R包（aLBI），该包应用长度频率，并提供估算基于长度的指标（lbi）的功能，以衡量种群健康状况。主要目标是简化估计指标的计算和可视化，以获得清晰的理解。该软件包包括两个主要功能，即FishPar（用于计算关键lbi，如最大长度（Lmax），渐近长度（L∞），性成熟长度（Lmat），最佳长度（Lopt）， Lopt±10 % （Lopt_p10, Lopt_m10）和成熟鱼的百分比（Pmat），最佳长度（Popt），以及具有置信区间的巨型产卵者（Pmega））和FishSS用于评估种群生物量状态。本研究还利用在Kaptai湖采集的Sperata aor的长度频率数据对包装的性能进行了评估。计算出的最佳箱大小为3 （cm）的结果表明其在产生可接受的种群评估方面的实用性，Lmax, L∞，Lmat和Lopt的平均估计值分别为78.01 cm, 82.12 cm， 43.73 cm和47.03 cm，以及各自的置信区间。此外，性成熟鱼、最佳长度鱼和巨型产卵鱼的比例分别为2.04 %、2.38 %和0.35 %，而目标分别为100 %、100 %和20 %。通过集成先进的统计方法和用户友好的界面，aLBI可以有效地监测鱼类种群并做出明智的决策。根据收集到的长度频率数据，在不同的箱尺寸（1-5 cm）上进行测试，包装性能一致。今后的建议包括扩大功能以涵盖更多的物种，并纳入额外的生物参数以加强种群评估。与渔业科学界的持续合作将确保aLBI仍然是可持续渔业实践的前沿工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fisheries Research 农林科学-渔业

CiteScore

4.50

自引率

16.70%

发文量

294

审稿时长

15 weeks

期刊介绍： This journal provides an international forum for the publication of papers in the areas of fisheries science, fishing technology, fisheries management and relevant socio-economics. The scope covers fisheries in salt, brackish and freshwater systems, and all aspects of associated ecology, environmental aspects of fisheries, and economics. Both theoretical and practical papers are acceptable, including laboratory and field experimental studies relevant to fisheries. Papers on the conservation of exploitable living resources are welcome. Review and Viewpoint articles are also published. As the specified areas inevitably impinge on and interrelate with each other, the approach of the journal is multidisciplinary, and authors are encouraged to emphasise the relevance of their own work to that of other disciplines. The journal is intended for fisheries scientists, biological oceanographers, gear technologists, economists, managers, administrators, policy makers and legislators.