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CNH2-L: Integrating Cross-scale Socio-Ecological Feedbacks in Freshwater Fisheries

CNH2-L: Integrating Cross-scale Socio-Ecological Feedbacks in Freshwater Fisheries
CNH2-L:整合淡水渔业的跨尺度社会生态反馈
批准号:
2009288
负责人:
Leandro Castello
金额:
$159.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2026-04-30

项目摘要

项目成果

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中文摘要
翻译
淡水渔业为数百万人提供食物、收入和娱乐。 这些系统的常规管理通常依赖于基于鱼类种群评估的管理规则的执行。 很少考虑机构执行管理规则的能力或影响渔民遵守规则的动机的社会因素。 因此,淡水渔业往往管理不善和过度捕捞。 该项目将与以社区为基础的淡水鱼管理系统合作,整合鱼类生态学、种群动态、制度分析和社会心理学,以了解影响淡水渔业可持续性的社会和生态因素。研究结果将为制定以社区为基础的鱼类资源管理综合动态政策提供信息。除了研究生的教育和同行评议的研究出版物,我们将建立在我们的案例研究,以开发一个开放的访问,基于网络的渔业培训计划,耦合自然和人类系统,针对高级本科生。该计划将使用书面,视频和基于项目的材料,以满足高等教育对开发和共享耦合人类和自然系统的教材日益增长的需求。 该项目将研究洪泛区生态系统之间的相互作用,淡水鱼的运动,并在生态方面和文化,社区,机构和渔民规则遵守社会方面的湖泊的使用。该团队将使用一种综合建模方法,在三个分析尺度上结合社会和生态成分,以产生关于渔业综合动态的新的和一般的见解。为此,他们将收集广泛的社会生态数据,并利用与渔民和管理人员共同生产的知识来解决四个首要的研究问题:栖息地和连通性如何影响湖泊之间的鱼类运动,以确定鱼湖使用的驱动因素,从而解释整个生态系统的丰富程度;渔民对鱼量的看法,以及他们从捕鱼中获得的收入,如何影响他们遵守制度规则,考虑到社区文化,领导,最后,由于可持续性的新兴属性来自社会和生态因素的相互作用,生态系统栖息地和连通性以及渔民遵守规则的情况如何影响鱼类种群的动态。该方法将推动知识前沿的理论,方法和应用耦合的自然和人类系统的研究,淡水渔业和其他共同的池资源,如海洋渔业或wildfish.This奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
英文摘要
Freshwater fisheries provide food, income, and recreation to millions of people. Conventional management of these systems typically relies on the implementation of management rules based on assessments of fish populations. Little consideration is given to the capacity of institutions to enforce management rules or the social factors that affect the motivations of fishers to comply with them. Consequently, freshwater fisheries are often poorly managed and overfished. Working with a community-based management system for freshwater fish, this project will integrate fish ecology, population dynamics, institutional analysis, and social psychology to understand the social and ecological factors affecting the sustainability of freshwater fisheries. Research results will inform policy on the integrated dynamics of community-based management of fish resources. In addition to education of graduate students and peer-reviewed publication of the research, we will build on our case study to develop an open-access, web-based training program on fisheries as coupled natural and human systems aimed at senior-level undergraduate students. This program will use written, video, and project-based materials to contribute to fill the growing demand in higher education for development and sharing of teaching materials in coupled human and natural systems. This project will study interactions between floodplain ecosystems, movement of freshwater fish, and their use of lakes on the ecological side, and culture, community, institutions, and fisher rule compliance on the social side. The team will use an integrated modeling approach that incorporates social and ecological components at three scales of analysis to produce novel and general insights on the integrated dynamics of fisheries. To do this, they will collect extensive socio-ecological data and use knowledge co-production with fishers and managers to address four overarching research questions: how habitat and connectivity affect fish movement among lakes to identify drivers of fish lake use, and thereby explain their abundance across the ecosystem; how fishers’ perceptions of fish abundance, and income they derive from fishing, affect their compliance with institutional rules, given community culture, leadership, and institutional arrangements; how rule compliance is affected by regional factors, markets, and government rules; and finally, because the emergent property of sustainability arises from the interplay of social and ecological factors, how ecosystem habitat and connectivity and fishers’ rule compliance affect the dynamics of fish populations. The approach will push knowledge frontiers by pioneering contributions to the theory, methods, and applications of coupled natural and human systems research to freshwater fisheries and other common pool resources such as marine fisheries or wildlife.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/s13280-021-01575-1
发表时间: 2022
期刊: Ambio
影响因子: 6.5
作者: [Arantes, Caroline C., Castello, Leandro, Basurto, Xavier, Angeli, Nicole, Sene-Haper, Aby, McGrath, David G.]
通讯作者: McGrath, David G.
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