Advancing the Management of Global Data-Limited Fisheries

全球90%的鱼类物种的现状和未来是不确定的。有限的数据和科学能力意味着大多数仍然没有得到评估，被归类为数据有限。这些鱼类种群对全球粮食安全和生物多样性至关重要。在大多数情况下，不知道拟议的管理办法是否可持续。这是当今全球海洋保护和海洋可持续性面临的最关键问题之一。至少有三个科学障碍阻碍进展：缺乏科学严谨的风险管理框架，科学能力不足，以及针对发展中国家数据有限问题的管理方法很少。更普遍的是，这些渔业缺乏明确的管理指导。* 在过去的五年里，不列颠哥伦比亚大学的一个项目已经建立了一个科学严谨的方法来确定数据有限的渔业的可持续管理。数据有限方法工具包（DLMtool）是一个免费的开源软件，它使用管理战略评估（MSE）模拟技术和超级计算技术来寻找强大的渔业管理解决方案。自2015年发布以来，DLMtool已为北美30多个渔业的管理提供了信息，在科学严谨性、透明度和问责制方面提供了好处。与联合国粮食及农业组织（粮农组织）合作，DLMtool讲习班已经培训了来自15个以上国家的25名科学家。* 目的：利用现有的FAO-DLMtool项目，我提出了一个为期5年的博士研究计划，通过开发案例研究，测试新方法和通过与区域科学家合作进行能力建设，来解决发展中国家数据有限渔业的关键问题。** 有四个短期目标：*1。利用粮农组织现有的DLMtool培训方案，在东南亚、东非、南美洲和中美洲建立研究网络，整理数据，并进行案例研究。2.确定关键的研究差距，开发和测试新的渔业管理统计方法。3.在DLMtool版本中公开所有新方法和模型，并发布影响报告。4.制定工作管理议定书，将数据有限的渔业从未管理过渡到可持续管理。长期目标是通过提供一个摆脱数据有限状况的蓝图，启动在发展中世界渔业建立可持续渔业管理的进程。** 本研究计划产生的HQP将是海洋科学两个前沿和迅速扩展领域的专家：MSE和数据有限的渔业。它们还将被置于一个国际合作计划的核心，该计划通过全球粮食安全和环境可持续性方面最有影响力的组织-联合国粮农组织进行联系。

The status and future of 90% of global fish species is uncertain. Limited data and scientific capacity mean that most remain unassessed and are classified as data-limited. These fish populations are vital for global food security and biodiversity. In most cases it is unknown whether proposed management approaches are sustainable. This is one of the most critical issues facing global marine conservation and ocean sustainability today.******There are at least three scientific obstructions to progress: lack of a scientifically rigorous framework for risk-based management, insufficient scientific capacity and, few management approaches tailored to the developing-world data-limited problem. More generally there is a lack of clear management guidance for these fisheries. ******Over the last five years, a UBC project has established a scientifically rigorous approach for identifying sustainable management of data-limited fisheries. The data-limited methods toolkit (DLMtool) is free open-source software that uses Management Strategy Evaluation (MSE) simulation techniques and supercomputing technology to find robust fishery management solutions. Since its release in 2015, DLMtool has informed management in over 30 fisheries in North America, providing benefits in scientific rigor, transparency and accountability. In partnership with the UN Food and Agricultural Organization (FAO) DLMtool workshops have trained more than 25 national scientists from over 15 countries. ******Aim: Leveraging existing FAO-DLMtool projects, I propose a 5-year PhD research program to address the critical problems of developing-world data-limited fisheries by developing case studies, testing new approaches and building capacity through collaboration with regional scientists. ******There are 4 short-term objectives:******1. Use an existing FAO-DLMtool training program to build a research network, collate data and construct case studies in South-East Asia, East Africa, South American and Central America. ******2. Identify critical research gaps and develop and test new statistical approaches for managing fisheries. ******3. Make all new methods and models publicly available in a DLMtool release and publish an impact report. ******4. Establish a working management protocol(s) to transition data-limited fisheries from unmanaged to sustainably managed.******The long term objective is to jump-start the process of establishing sustainable fishery management in developing world fisheries by providing a blueprint for moving out of the data-limited situation. ******The HQP arising from this research program will be experts in two cutting edge and rapidly expanding fields of marine science: MSE and data-limited fisheries. They will also be placed at the heart of an international collaborative program connected through the most influential organization for global food security and environmental sustainability – the UN FAO.***