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首页> 外文期刊>Indian Journal of Fisheries >Assessment of offshore shrimp stocks of Bangladesh based on commercial shrimp trawl logbook data
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Assessment of offshore shrimp stocks of Bangladesh based on commercial shrimp trawl logbook data

机译:基于商业虾拖网日志数据的孟加拉国海上虾股的评估

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摘要

This study presents the results of analytical assessment of offshore shrimp stock in Bangladesh marine waters. A time series of annual catch per unit effort (CPUE) was derived from commercial logbook data during the period from 1986 to 2016 and used as a turning series for a Schaefer biomass model. The current stock size and annual harvest rate were estimated to be around 20300 t and 20% respectively, with the stock size increasing in the last ten years. The estimated maximum sustainable yield (MSY) reference points with 95% confidence intervals are optimal biomass B-MSY = 15800 t (11300-22000 t) and optimal harvest rate u(MSY) = 30% (21-42%). The average annual catch was 4650 t, close to the estimated MSY of 4710 t (4570-4860 t). Overall, the stock is estimated to be in a good state and the data show that CPUE in recent years is slightly above the long-term average. The assessment results are subject to considerable uncertainty, reflected in wide confidence intervals around the estimated stock status. Moreover, the simple assessment model has restrictive assumptions that may not capture the underlying dynamics of the Bangladesh shrimp fishery, a multispecies tropical fishery with changes in the fleet composition and fishing technology. Nevertheless, the model fits well to the CPUE data and the assessment is a valuable basis for giving short-term and long-term management advice.
机译:本研究提出了孟加拉国海水海水海外虾股的分析评估结果。每单位努力(CPUE)每单位捕获量(CPUE)的时间序列是从1986年至2016年的商业日志数据源于商业日志数据,并用作Schaefer生物量模型的转动系列。估计目前的库存规模和年度收获率分别为20300吨和20%,股票大小在过去十年中增加。具有95%置信区间的估计最大可持续产量(MSY)参考点是最佳生物质B-MSY = 15800 T(11300-22000t)和最佳收获率U(MSY)= 30%(21-42%)。年平均年度捕获量为4650 T,接近4710 T的估计MSY(4570-4860 T)。总体而言,估计股票处于良好状态,数据显示近年来的CPUE略高于长期平均值。评估结果受到相当大的不确定性的影响,以估计的储存现状周围的广泛置信区间反映。此外,简单的评估模型具有限制性假设,可能不会捕获孟加拉国虾渔业的潜在动态,这是舰队组成和渔业技术的变化。然而,该模型适合CPUE数据,评估是提供短期和长期管理建议的有价值的基础。

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