Scholars Award to Model Uncertainty in Fishering Research Combining Anthropology and Fishery Science

结合人类学和渔业科学的渔业研究不确定性模型获得学者奖

• 批准号: 0454453
• 负责人: Michael Paolisso
• 金额: --
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0454453&HistoricalAwards=false
• 关键词: Scholars; Award; Model; Uncertainty; Fishering

Coastal fisheries worldwide are experiencing profound ecological changes due to increased human exploitation, pollution and broader economic and social developments along shorelines. Assessments of the challenges to developing sustainable fisheries consistently call for the integration of traditional and commercial fisher knowledge with science-based research, with the goal of creating new management approaches that sustain fish populations and coastal fishing communities. This Scholars Award in Methodological Training seeks to integrate anthropological study of commercial fishers' knowledge and experience with current efforts by marine scientists to estimate fish population dynamics and sustainable harvest rates. The anthropologist researcher will study fishery science in order to better model scientists' estimation techniques. The geographical focus of the research is the Chesapeake Bay region, with a particular focus on the blue crab fishery. The theoretical focus of the research is cognitive and environmental, and argues that the integration of commercial fisher knowledge and scientist expertise requires an understanding of the underlying cognitive and cultural models each group implicitly uses to understand each other and blue crabs. Furthermore the project focuses on how commercial fishers and scientists both model uncertainty in the fishery and fish population, an area of keenly shared interest that has not been sufficiently studied from a comparative perspective for different stakeholders for the same fishery or fish population.The project has broader implications in terms of informing and educating other scientists and natural resource user groups, including farmers and ranchers for example, on how underlying cognitive models of nature, livelihoods and community can be used to promote the exchange of valuable environmental information useful in our efforts to manage fisheries, rural lands, reserves and other areas of high ecological and economic value to diverse stakeholders.

全球沿海渔业正在经历深刻的生态变化，这是由于人类开发、污染和沿海岸线更广泛的经济和社会发展造成的。对发展可持续渔业所面临挑战的评估始终要求将传统和商业渔业知识与基于科学的研究结合起来，目标是创造新的管理办法，维持鱼类种群和沿海渔业社区。这项方法培训学者奖旨在将商业渔民的知识和经验的人类学研究与海洋科学家目前估计鱼类种群动态和可持续捕获率的努力结合起来。人类学家研究员将研究渔业科学，以便更好地模拟科学家的估计技术。研究的地理重点是切萨皮克湾地区，特别关注蓝蟹渔业。该研究的理论重点是认知和环境，并认为商业渔民的知识和科学家的专业知识的整合需要了解潜在的认知和文化模型，每个群体隐含地用来理解彼此和蓝蟹。此外，该项目侧重于商业渔民和科学家如何对渔业和鱼类种群的不确定性进行建模，这是一个共同感兴趣的领域，但尚未从同一渔业或鱼类种群的不同利益相关者的比较角度进行充分研究。该项目在向其他科学家和自然资源用户群体（例如农民和牧场主）提供信息和教育方面具有更广泛的意义，使其了解如何利用自然、生计和社区的基本认知模型来促进有价值的环境信息的交流，这些信息有助于我们努力管理渔业、农村土地、保护区和其他对不同利益攸关方具有高生态和经济价值的地区。