Effect of ocean circulation and chlorophyll-a concentration on yellowfin tuna catch rates in Sri Lankan logline fishery

U. S. Maddumage, J. Rajapaksha, J. Gunatilake
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Abstract

Sri Lanka has access to fishery resources in the Indian Ocean due to its location. While traditional fishing methods are still used in the Sri Lankan fishery industry, modern technologies such as remote sensing and GIS are employed to determine spatiotemporal distribution of tuna fish resources in the offshore fishery industry. However, due to uncertain catch rates, Sri Lankan fishers report low catch per unit effort, leading to increased fishing duration to meet targeted catch. Potential fishing areas can be identified based on oceanographic conditions to reduce search time and improve efficiency, particularly for highly migratory species like yellowfin tuna. Therefore, this study is focused on identifying the impact of subsurface ocean currents and chlorophyll-a concentration on yellowfin tuna aggregations. The study analysed fishery and oceanographic data from January 2018 to December 2019 within a latitudinal range of 0°N to 20°N and a longitudinal range of 70°E to 90°E. The data were gridded at a resolution of 0.25 degrees and then matched for analysis. The generalized additive model (GAM) and the empirical cumulative distribution function (ECDF) were applied to identify the nature of relationships between CPUE and the oceanographic conditions. The results showed high tuna aggregations occurred in chlorophyll-a concentration between 0.3– 0.4 mg/m3 and current speed less than 0.4 m/s at a depth of 60 – 75 m of Sri Lankan longliners. Yellowfin tuna fishable aggregations were available throughout the year, although the spatial distribution of yellowfin tuna varied depending on the prevailing oceanographic conditions. Thus, searching for fishing locations based on oceanographic factors is essential for successful fishing operations. Hence, tuna harvest can be enhanced by maintaining fishing areas and the longline depth according to the oceanographic factors.
海洋环流和叶绿素a浓度对斯里兰卡对数线渔业黄鳍金枪鱼捕捞率的影响
由于地理位置的关系,斯里兰卡可以获得印度洋的渔业资源。在斯里兰卡渔业仍采用传统捕捞方法的同时,利用遥感和GIS等现代技术确定近海渔业金枪鱼资源的时空分布。然而,由于渔获率不确定,斯里兰卡渔民报告的单位努力渔获量较低,导致为达到目标渔获量而增加的捕捞时间。可以根据海洋学条件确定潜在的捕鱼区域,以减少搜索时间和提高效率,特别是对黄鳍金枪鱼等高度洄游物种。因此,本研究的重点是确定海底洋流和叶绿素-a浓度对黄鳍金枪鱼聚集的影响。该研究分析了2018年1月至2019年12月的渔业和海洋学数据,纬度范围为0°N至20°N,纵向范围为70°E至90°E。将数据以0.25度的分辨率网格化,然后进行匹配分析。应用广义加性模型(GAM)和经验累积分布函数(ECDF)分析了CPUE与海洋条件之间的关系。结果表明,在60 ~ 75 m深的斯里兰卡延绳钓上,当叶绿素a浓度在0.3 ~ 0.4 mg/m3之间,流速小于0.4 m/s时,金枪鱼大量聚集。黄鳍金枪鱼的可捕捞种群全年都有,但黄鳍金枪鱼的空间分布因当时的海洋学条件而异。因此,根据海洋学因素寻找捕鱼地点对成功的捕鱼作业至关重要。因此,可根据海洋学因素,通过维持捕捞面积和延绳钓深度来增加金枪鱼的收获。
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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