Estimating mortality for the assessment of a small-scale fishery: Lane snapper (Lutjanus synagris) in Honduras

Estimating mortality for the assessment of a small-scale fishery: Lane snapper (Lutjanus synagris) in Honduras
复制标题

DOI:
10.1016/j.fishres.2020.105709
复制
发表时间:
2020-11-01
期刊:
影响因子:
2.4
通讯作者:
Fujiwara, Masami
Fujiwara, Masami
中科院分区:
农林科学2区
文献类型:
--
作者:
Castillo, Liliana Sierra;Pawluk, Michaela;Fujiwara, Masami

文献摘要

被引文献

相似文献

刺网在小规模渔业中很常见。然而,使用刺网获得的数据有偏差,因为其大小的选择性,使准确估计死亡率困难。本研究采用各种方法来估计总的,自然的,和捕捞死亡率,使用的数据巷笛鲷(Lutjanus synagris)在特拉,洪都拉斯收集。总死亡率估计使用捕捉曲线分析,并考虑和不考虑大小的选择性,使用拟合的选择性曲线,查普曼和罗布森的方法,和Heincke的方法。刺网选择性的车道笛鲷最好的特点是一个歪斜的正常选择性曲线。在没有校正齿轮选择性的情况下,捕获曲线法比Chapman和Robson以及Heincke的方法产生了更大的总死亡率估计值,三种方法之间存在很大差异。自然死亡率的估计是一致的五种方法:Lorenzen,彼得森和Wroblewski,Sekharan,“FishLife”R包和保利的方法。因此,捕捞死亡率估计数之间的差异主要是总死亡率估计数差异的结果。我们的研究结果表明,在评估和管理小规模渔业时,考虑渔具选择性至关重要。
Gillnets are very common in small-scale fisheries. However, data obtained using gillnets are biased because of their size selectivity, making accurate estimation of mortality difficult. This study applied various methods to estimate total, natural, and fishing mortality, using data for Lane Snapper (Lutjanus synagris) collected in Tela, Honduras. Total mortality was estimated using a catch-curve analysis with and without accounting for size selectivity using fitted selectivity curves, the Chapman and Robson method, and Heincke's method. Gillnet selectivity of Lane Snapper was best characterized by a skewed normal selectivity curve. The catch-curve method in the absence of correction for gear selectivity produced greater total mortality estimates than the Chapman and Robson and Heincke's methods, with substantial variation among the three methods. Natural mortality estimates were consistent among five methods: Lorenzen, Peterson and Wroblewski, Sekharan, "FishLife" R package and Pauly's method. Consequently, variation among fishing mortality estimates was primarily the result of variation in estimates of total mortality. Our results suggest that accounting for gear selectivity is critically important when assessing and managing small-scale fisheries.