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未得到评估，并被归类为数据有限。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，尚不清楚拟议的管理办法是否可持续。这是当今全球海洋养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了进展：缺乏科学上严格的基于风险的管理框架，科学能力不足，以及几乎没有针对发展中国家数据有限问题的管理办法。更普遍的是，对这些渔业缺乏明确的管理指导。*在过去五年中，UBC的一个项目为确定数据有限渔业的可持续管理建立了一种科学上严格的方法。数据限制方法工具包(DLMTool)是免费的开源软件，它使用管理战略评估(MSE)模拟技术和超级计算技术来寻找稳健的渔业管理解决方案。自2015年发布以来，DLMTool已向北美30多个渔业的管理层提供了信息，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讲习班培训了来自15多个国家的25多名国家科学家。*目标：利用现有的粮农组织-DLMTool项目，我提议一个为期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建设能力来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：*1.利用现有的粮农组织-DLM工具培训计划，在东南亚、东非、南美洲和中美洲建立研究网络、整理数据和构建案例研究。*2.找出关键的研究差距，开发和测试管理渔业的新统计方法。*3.在DLMTool版本中公开所有新方法和模型，并发布影响报告。*4.制定一项工作管理议定书(S)，将数据受限渔业从无管理状态转变为可持续管理状态。长期目标是通过提供摆脱数据受限局面的蓝图，启动发展中国家渔业建立可持续渔业管理的进程。*这项研究计划产生的HQP将是海洋科学两个尖端和迅速扩展的领域的专家：MSE和数据受限渔业。它们还将被置于通过全球粮食安全和环境可持续发展最有影响力的组织--联合国粮农组织--联系起来的国际合作计划的核心。

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.***