Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, Texas, United States of America.
Department of Ecology and Conservation Biology, Texas A&M University, College Station, Texas, United States of America.
PLoS One. 2021 Feb 1;16(2):e0233479. doi: 10.1371/journal.pone.0233479. eCollection 2021.
Small-scale fisheries are hard to assess because of the limited availability of data. Therefore, a method requiring easy-to-obtain catch-data is important for the assessment and management of small-scale fisheries. The objective of this study was to assess the effect of fishing gear selectivity on a length-based metric method proposed by Froese by estimating three indicators using catch-data from Lane Snapper (Lutjanus synagris) collected in Honduras. These indicators are (1) the percentage of mature individuals in the catch, (2) the percentage of fish within the range of estimated optimal lengths to be captured, and (3) the percentage of fish larger than the optimal length. These indicators determine the level of overfishing. The indicators were estimated separately for catch-data corresponding to gill nets, and each indicator was estimated with and without selectivity correction. Selectivity and mesh sizes of the fishing gear had a major impact on the estimation of indicators 1 and 2. As for indicator 3, it consistently showed a high level of exploitation. The three estimated indicators suggested that the Lane Snapper fishery in Honduras is experiencing overfishing. Overall, the method appears to be promising for the assessment of small-scale fisheries, but it should be used cautiously.
小规模渔业难以评估,因为数据有限。因此,对于小规模渔业的评估和管理,需要一种易于获取渔获数据的方法。本研究的目的是评估捕捞渔具选择性对 Froese 提出的基于长度的指标方法的影响,方法是使用从洪都拉斯收集的 Lane Snapper(Lutjanus synagris)的渔获数据来估算三个指标。这些指标是:(1)渔获物中成熟个体的百分比;(2)处于估计最佳捕获长度范围内的鱼类的百分比;(3)大于最佳长度的鱼类的百分比。这些指标决定了过度捕捞的程度。这些指标分别针对刺网渔获数据进行估算,并且每个指标都在有选择性校正和没有选择性校正的情况下进行了估算。捕捞渔具的选择性和网目尺寸对指标 1 和 2 的估算有重大影响。至于指标 3,它始终显示出高度的开发利用水平。三个估算指标表明,洪都拉斯的 Lane Snapper 渔业正在经历过度捕捞。总体而言,该方法似乎有望用于小规模渔业的评估,但应谨慎使用。