Understanding the effect of small-scale ocean process on tuna populations – a new tool to forecast tuna distributions for use in fisheries management

西太平洋和中太平洋支持着世界上最大的金枪鱼渔业，其捕获量为许多太平洋社区贡献了高达40%的收入。这些国家的生计和经济发展都依赖于这些渔业。在人口快速增长和气候变化的情况下，对这一宝贵资源的持续可持续管理是一项挑战。利用观察所得的鲣鱼信息，该项目旨在开发一种新的金枪鱼行为模型。其目的是将其纳入一个最先进的生物物理模型，其分辨率能够再现关键的中尺度过程，提供金枪鱼分布的预测，目的是帮助制定可持续的管理做法。

The western and central Pacific Ocean supports the world’s largest tuna fishery with catches contributing up to 40 per cent of revenue for many Pacific communities. These nations are dependent on these fisheries for livelihoods and economic development. Continued sustainable management of this valuable resource in the face of rapid population growth and climate variability and change is a challenge. Using observationally derived information of skipjack tuna, the project aims to develop a novel tuna behavioural model. This is intended to be integrated into a state-of-the-art biophysical model at resolutions capable of reproducing critical meso-scale processes, providing projections of tuna distributions that aim to aid in developing sustainable management practices.