Advancing the Management of Global Data-Limited Fisheries

全球90%的鱼类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未得到评估，并被列为数据有限。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，所提出的管理办法是否可持续是未知的。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。******至少有三个阻碍进展的科学障碍：缺乏科学上严格的基于风险的管理框架、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。******在过去的五年中，UBC的一个项目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。数据有限的方法工具包（DLMtool）是免费的开源软件，它使用管理策略评估（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多个渔场的管理层提供了信息，在科学严密性、透明度和问责制方面带来了好处。DLMtool与联合国粮食及农业组织（粮农组织）合作举办的讲习班已经培训了来自15个以上国家的25多名国家科学家。******目标：利用现有的粮农组织- dlmtool项目，我提出一个为期五年的博士研究计划，通过开展案例研究、测试新方法和与区域科学家合作建设能力，解决发展中国家数据有限的渔业的关键问题。******有4个短期目标：******利用现有的粮农组织- dlmtool培训计划，在东南亚、东非、南美和中美洲建立研究网络，整理数据并构建案例研究。* * * * * * 2。确定关键的研究差距，开发和测试管理渔业的新统计方法。* * * * * * 3。在DLMtool版本中公开提供所有新方法和模型，并发布影响报告。* * * * * * 4。建立工作管理议定书，将数据有限的渔业从无管理转变为可持续管理。******长期目标是通过提供摆脱数据有限情况的蓝图，迅速启动在发展中国家渔业中建立可持续渔业管理的进程。******该研究计划产生的HQP将由海洋科学两个前沿和快速发展领域的专家组成：MSE和数据有限的渔业。他们还将被置于一项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最具影响力的组织-联合国粮农组织建立联系

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.***