Advancing spatio-temporal stock assessment models to integrate high-resolution seafloor mapping data in order to achieve sustainable harvest strategies for Canadian shellfish

推进时空资源评估模型，整合高分辨率海底测绘数据，以实现加拿大贝类的可持续捕捞战略

• 批准号: 571920-2022
• 负责人: Flemming, JoannaJE
• 金额: $ 7.21万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=758782
• 关键词: Advancing; spatio; temporal; stock; assessment; Advancing; spatio; temporal; stock; assessment

The ocean is an integral part of Canada's culture, environment, public health and economy. The ocean economy employs more than 315,000 Canadians and contributes more than $26 billion of gross domestic product (GDP) each year. Atlantic Canada's commercial fishery is built primarily from benthic shellfish, valued at over $3 billion in 2019. The importance of incorporating spatial information into the assessment and management of these shellfish populations has long been recognized. Due to the strong association with substrate type, density distributions of benthic shellfish stocks can be relatively well represented by seafloor habitat maps. These maps, combined with geospatial fisheries data, have tremendous potential to improve our understanding of the spatial patterns and complexities of shellfish population dynamics and responses to fishing. The goals of this partnership between Clearwater Seafoods (Clearwater), E'sukutimkewey, and Fisheries and Oceans Canada (DFO) are to: A) develop the statistical framework and supporting software needed to integrate high-resolution data streams into the next generation of spatio-temporal stock assessment models; and B) devise more sustainable harvest strategies for benthic shellfish (and other) species by incorporating new knowledge of spatio-temporal variability in recovery and other relevant processes. Using Arctic surfclam (Mactromeris polynyma) as a case study, this partnership will give rise to the following outcomes and impacts: 1) full integration of high-resolution environmental data into stock assessment models and associated harvest strategy processes; 2) greater confidence in the setting of sustainable removal levels; 3) better understanding of how ecosystem-based rotational fishing strategies can be implemented; and 4) knowledge- and technology-transfer to stock assessment scientists and fisheries managers across Canada. This will directly contribute to the additional demands for fisheries science under the new Fish Stocks Provisions of the Fisheries Act (Formally Bill C-68).

海洋是加拿大文化，环境，公共卫生和经济的组成部分。海洋经济拥有315,000多名加拿大人，每年贡献超过260亿美元的国内生产总值（GDP）。加拿大大西洋的商业渔业主要是由底栖贝类建造的，价值超过30亿美元。将空间信息纳入评估和管理这些贝类种群的重要性长期以来已被认可。由于与底物类型的牢​​固关联，底栖贝类库存的密度分布可以用海底栖息地图很好地代表。这些地图，结合地理空间渔业数据，具有巨大的潜力，可以提高我们对贝类种群动态的空间模式和复杂性以及对捕鱼的反应的理解。 Clearwater海鲜（Clearwater），E'Sukutimkewey和Canada和Oceans Canada（DFO）之间的这种伙伴关系的目标是： b）通过在恢复和其他相关过程中纳入有关时空变异性的新知识，为底栖贝类（和其他）物种制定更可持续的收获策略。将北极表面（MacTromeris polynyma）作为案例研究，该伙伴关系将产生以下结果和影响：1）将高分辨率环境数据完全整合到库存评估模型和相关的收获策略过程中； 2）对可持续拆卸水平的设定更大的信心； 3）更好地了解如何实施基于生态系统的旋转捕捞策略； 4）知识和技术转移加拿大的库存评估科学家和渔业经理。根据《渔业法》的新鱼类股票规定，这将直接提高渔业科学的其他要求（正式的C-68法案）。