CNH-L: Social-Ecological Dynamics of Recreational Fishery Landscapes

这个跨学科的研究项目将探索淡水休闲渔业景观的动态，其中社会和生态过程以复杂的方式相互作用，以确定鱼类种群和依赖它们的人类种群的状况。 该项目将增进对渔业系统动态以及这些和其他种类共有资源的管理的基本了解。 它将有助于社会，生态和社会生态科学的理论发展。 该项目将对与设计原则有关的理论进行强有力的测试，这些原则允许成功的集体行动，以避免共同池资源问题。 它将提供对淡水和海洋渔业生态学至关重要的理论的实证检验，并将探索新的经济模型，旨在研究空间复杂的开放式系统中社会福利的消散。 该项目将帮助决策者和公民更好地了解休闲渔业景观中的自然-人类相互作用动态，从而提高他们的能力，以确定成功治理渔业资源的途径和克服障碍。 该项目还将为博士后研究人员、研究生和本科生提供宝贵的教育和培训机会。美国和世界其他地区的休养生息的渔业景观具有巨大的文化和经济价值，但它们很容易退化，在许多地区，它们正在遭受类似于困扰许多海洋渔业的崩溃。 以前的研究表明，地方组织参与治理可能会改善公共资源系统的成果，但尚不清楚这种安排是否有效。 研究人员将重点确定有效治理休闲渔业景观的途径和障碍，并研究这些系统以测试和扩展社会、生态和社会生态理论。 研究人员将进行鱼类计数，并进行大规模实验，以评估栖息地的复杂性如何影响幼鱼死亡率以及鱼类丰度和垂钓者渔获量之间的关系。 他们将采访垂钓者，并将开发和测试经济模型，以了解垂钓者的偏好和信息来源如何决定整个景观的捕捞努力分配。 调查人员将与当地组织进行访谈，并将其制度安排分类，以了解组织如何做出关于渔业质量投资的决策，他们将分析导致成功集体行动的组织特征。 调查人员将结合联合收割机阶段结构渔业模型与代理为基础的社会模型，综合他们的工作，并探索有效治理休闲渔业景观的途径和障碍。 该项目由NSF耦合自然和人类系统动力学（CNH）计划支持。

This interdisciplinary research project will explore the dynamics of freshwater recreational fishery landscapes, where social and ecological processes interact in complex ways to determine the status of fish populations and the human populations that depend on them. The project will enhance basic understanding about the dynamics of fisheries systems and the governance of these and other kinds of common-pool resources. It will contribute to theoretical development in the social, ecological, and social-ecological sciences. The project will provide robust tests of theories related to the design principles that allow successful collective action to avoid common-pool resource problems. It will provide empirical tests of theories that are central to freshwater and marine fisheries ecology, and it will explore new economic models designed to examine the dissipation of social welfare in spatially complex, open-access systems. The project will help decision makers and citizens to better understand coupled natural-human dynamics in recreational fisheries landscapes, thereby improving their capabilities to identify pathways and overcome obstacles to successful governance of fishery resources. The project also will provide valuable education and training opportunities for post-doctoral researchers, graduate students, and undergraduate students.Recreational fishery landscapes across the United States and other parts of the world have tremendous cultural and economic value, but they are vulnerable to degradation, and in many regions, they are suffering collapses similar to the collapses that have plagued many marine fisheries. Previous research suggests that the involvement of local organizations in governance may improve outcomes in common-pool resource systems, but it is not clear whether this arrangement can be effective. The investigators will focus on identifying pathways and obstacles for effective governance of recreational fishery landscapes, and they will study these systems to test and extend social, ecological, and social-ecological theory. The investigators will conduct fish counts and engage in large-scale experiments to assess how habitat complexity influences juvenile fish mortality and the relationship between fish abundance and angler catch. They will interview anglers and will develop and test economic models to understand how angler preferences and information sources determine the allocation of fishing effort across the landscape. The investigators will conduct interviews with local organizations and will catalog their institutional arrangements to understand how the organizations make decisions about investments in fishery quality, and they will analyze the organizational characteristics that lead to successful collective action. The investigators will combine stage-structured fisheries models with agent-based social models to synthesize their work and explore pathways and obstacles to effective governance of recreational fishery landscapes. This project is supported by the NSF Dynamics of Coupled Natural and Human Systems (CNH) Program.