CNH-L: Resilience and Adaptive Capacity of Small-Scale Fishing Communities and Coastal Marine Ecosystems to Environmental and Economic Variability

CNH-L：小型渔业社区和沿海海洋生态系统对环境和经济变化的恢复力和适应能力

• 批准号: 1518361
• 负责人: Heather Leslie
• 金额: $ 179.07万
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1518361&HistoricalAwards=false
• 关键词: CNH; Resilience; Adaptive; Capacity; Small

Fisheries are an important source of food and income for approximately 520 million people globally. Small-scale fisheries, in particular, are incredibly important; they employ more than 90 percent of the world's approximately 35 million capture fishermen worldwide, and contribute over half of the world's marine and inland fish catch, nearly all of which is used for direct human consumption. Small-scale fisheries shape coastal cultures, economies, and ecosystems. Yet knowledge of small-scale fisheries is notoriously poor, in part because they often are marginalized within their own communities and nations. With the increasing emphasis on reconciling food security and other development aims with environmental conservation, integrated understanding of small-scale fisheries is more critical than ever. This research project will develop fundamental knowledge of human-environment interactions in coastal marine systems, and help inform the development and evaluation of innovative small-scale fisheries management strategies. Specifically, this research will examine how environmental and economic variability and institutional diversity shape the resilience and adaptive capacity of the coupled natural and human systems associated with the small-scale fisheries.This work will focus on the reciprocal interactions between the ecosystems and institutions associated with small-scale fisheries in the Mexican state of Baja California Sur (BCS). BCS is an ideal model system in which to investigate these human-ecosystem dynamics, given its variability of institutional, economic, and ecological contexts. For most fishermen in BCS, access to necessary capital inputs (boats, gear, etc.) is achieved either through membership in a fishing-cooperative or via a relationship with a patron. Both empirical evidence and theory suggest that fisheries dominated by cooperatives may contribute to improved ecosystem and human wellbeing outcomes, relative to those dominated by patron-client relationships. But the mechanisms underlying these differences and how they may contribute to resilience of human and natural systems to environmental and economic variability are not well understood, nor have they been well tested empirically. This work will address these gaps by integrating field and synthetic investigations at the scale of individual fishing communities throughout BCS. This work will generate new social and ecological data including information on fish abundances and distributions, indicators of ecological resilience and ecosystem health, information on fishermen activities and community characteristics, indicators of institutional resilience, and indicators of individual and community well-being. The project will also create targeted dynamic models of key human-environment interactions that will address core issues in coupled human-natural system science, ecology, economics, and common-pools resources studies.

渔业是全球约5.2亿人的重要食物和收入来源。小规模渔业尤其重要;它们雇用了全世界约3500万捕捞渔民中的90%以上，并贡献了世界海洋和内陆鱼类捕获量的一半以上，几乎所有这些都直接用于人类消费。小型渔业塑造了沿海文化、经济和生态系统。然而，对小规模渔业的了解是众所周知的，部分原因是它们往往在自己的社区和国家中被边缘化。随着人们越来越强调将粮食安全和其他发展目标与环境保护相协调，对小型渔业的综合了解比以往任何时候都更加重要。该研究项目将发展沿海海洋系统中人类与环境相互作用的基本知识，并帮助为创新的小规模渔业管理战略的制定和评估提供信息。 具体而言，本研究将探讨如何环境和经济的变化和制度多样性形状的弹性和适应能力的耦合自然和人类系统与小规模fisheres.This工作将集中在生态系统和机构之间的相互作用与小规模渔业在墨西哥州的南下加利福尼亚（BCS）。BCS是一个理想的模型系统，在其中调查这些人类生态系统的动态，考虑到其可变性的制度，经济和生态环境。对于BCS的大多数渔民来说，获得必要的资本投入（船只、渔具等）通过加入渔业合作社或通过与赞助人的关系来实现。经验证据和理论都表明，相对于那些由赞助人-客户关系主导的渔业，由合作社主导的渔业可能有助于改善生态系统和人类福祉。但是，这些差异背后的机制，以及它们如何有助于人类和自然系统对环境和经济变化的适应能力，还没有得到很好的理解，也没有得到很好的经验检验。这项工作将通过在整个BCS的单个渔业社区的规模上整合实地和综合调查来解决这些差距。这项工作将产生新的社会和生态数据，包括鱼类丰度和分布信息、生态复原力和生态系统健康指标、渔民活动和社区特征信息、机构复原力指标以及个人和社区福祉指标。该项目还将创建关键的人与环境相互作用的有针对性的动态模型，这些模型将解决耦合人类-自然系统科学，生态学，经济学和公共资源研究中的核心问题。