ABSTRACT Yellowfin tuna (Thunnus albacares, Bonnaterre, 1788; YFT) face extensive exploitation pressure worldwide owing to the attractive economics of these fisheries. A better understanding of how oceanography influences the distribution of YFT (or highly migratory species more generally) will improve the ability for fisheries management policies to achieve conservation (e.g., maintain a stocks reproductive capacity), economic (e.g., maximize gross domestic product), and social (e.g., optimize successful fishing opportunities) objectives. Such ecosystem-based linkages, when combined with real-time remote sensing data, provide the predictive framework for enhancing favourable fishing opportunities and limiting excessive harvest. We examined factors influencing YFT distribution and behaviour using pop-up satellite archival tags and remotely sensed oceanographic data from two regions in the northern Indian Ocean. Tagged individuals did not exhibit significant deep diving or diurnal behaviour, and preferred ambient temperatures of 26–30°C and 25–29°C in the Arabian Sea (AS) and the Bay of Bengal (BoB), respectively. In general, tagged YFT were found to be in waters with sea surface temperatures of 26–29°C, 60% of the time and within a sea surface height-anomaly of ±6 cm 70% of the time. YFT avoided moving below the relatively shallow oxycline depth, which is indicative of the stratified waters of the AS and the BoB. Low dissolved oxygen levels are likely a limiting factor for tuna movement given their high oxygen demand. The northern Indian Ocean provides an opportunity to study climate impacts on fish distribution and movement, and our findings provide a basis for understanding how habitat and migratory patterns may be altered under climate change.

中文翻译：

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黄鳍金枪鱼（Thunnus albacares）在温暖分层海洋中的海洋学偏好：一种遥感方法

摘要 黄鳍金枪鱼 (Thunnus albacares, Bonnaterre, 1788; YFT) 由于这些渔业具有吸引力的经济效益，在世界范围内面临着广泛的开发压力。更好地了解海洋学如何影响 YFT（或更普遍的高度洄游物种）的分布将提高渔业管理政策实现保护（例如，维持种群繁殖能力）、经济（例如，最大化国内生产总值）、和社会（例如，优化成功的捕鱼机会）目标。这种基于生态系统的联系与实时遥感数据相结合，为增加有利的捕鱼机会和限制过度捕捞提供了预测框架。我们使用弹出式卫星档案标签和来自印度洋北部两个地区的遥感海洋数据研究了影响 YFT 分布和行为的因素。被标记的个体没有表现出明显的深潜或昼夜行为，阿拉伯海 (AS) 和孟加拉湾 (BoB) 的首选环境温度分别为 26-30°C 和 25-29°C。一般而言，发现标记的 YFT 位于海面温度为 26-29°C 的水域中，60% 的时间以及 70% 的时间在 ±6 cm 的海面高度异常范围内。YFT 避免在相对较浅的斜斜深度以下移动，这表明 AS 和 BoB 的分层水域。鉴于金枪鱼的需氧量高，低溶解氧水平可能是金枪鱼运动的限制因素。