SPRF-IBSS: Linking complex social and ecological systems through integrative network modeling
SPRF-IBSS:通过综合网络建模连接复杂的社会和生态系统
基本信息
- 批准号:1513314
- 负责人:
- 金额:$ 15.23万
- 依托单位:
- 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:2015-08-01 至 2018-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Directorate of Social, Behavioral and Economic Sciences offers postdoctoral research fellowships to provide opportunities for recent doctoral graduates to obtain additional training, to gain research experience under the sponsorship of established scientists, and to broaden their scientific horizons beyond their undergraduate and graduate training. Postdoctoral fellowships are further designed to assist new scientists to direct their research efforts across traditional disciplinary lines and to avail themselves of unique research resources, sites, and facilities, including at foreign locations. This postdoctoral fellowship award supports a rising interdisciplinary scholar studying complex social and ecological systems. Humans rely on the natural environment to support to support a wide array of social needs, such as health, prosperity, and welfare. Yet natural systems are facing an unprecedented level of stress, and strategies to advance global sustainability are urgently needed. This challenge is particularly relevant for coral reefs, which are critical for supporting biodiversity and human well-being, yet continue to decline globally. In an effort toward meeting this challenge, this grant supports an SBE postdoctoral fellow in assessing how connections within and between coastal communities and fisheries resources contribute to successful (or unsuccessful) management of coral reefs. Results are uncovering problematic power dynamics, and providing recommendations on the connections that communities and practitioners should seek to build to improve biodiversity conservation and social well-being. Supporting NSF?s mission to advance national health, prosperity, and welfare, this project directly informs coral reef management planning and practice in the U.S and abroad, with results and insights being disseminated to fishing communities, practitioners, marine resource managers, and the scientific community. This project also directly addresses NSF?s mission to promote scientific progress by linking theory and data from the social and ecological sciences, and by defining frontiers in applied ecosystem modeling. Finally, this project advances education and diversity by providing the fellow with invaluable training and preparing her for a productive career in academia, where women have been historically underrepresented.How do connections within and between people (the social system) and nature (the ecological system) mediate outcomes in social-ecological systems? To what extent are social and ecological systems interdependent, and how might this vary with context? To answer these questions, the SBE fellow is advancing a novel interdisciplinary network modeling framework to assess how social-ecological interdependencies within and between fishing communities and fisheries resources mediate outcomes, i.e., livelihood benefits and sustainable fisheries, in coral reef ecosystems from across the Asia-Pacific. This research leverages cutting edge advances in multi-level random graph modeling and brings together perspectives from sociology, political economy, human geography, and ecology in order to (1) identify key social and ecological interdependencies, (2) understand how social actors mediate social interactions and relationships with resources, and (3) develop novel theory and cultivate practical guidance for more effective natural resource management. This project provides important empirical insight on how social and ecological systems are interlinked, the factors that drive the formation of social-ecological structures, and how social-ecological feedbacks relate to outcomes, thus presenting a unique opportunity for the development of theory applicable to a much wider range of settings. This work also contributes to a growing body of interdisciplinary research investigating the role of social connectivity, power asymmetries, and social-ecological alignment in facilitating (or impeding) desirable outcomes in environmental governance. Finally, this research is advancing a novel interdisciplinary methodological framework that can be applied empirically across a range of contexts in both the social and ecological sciences.
社会、行为和经济科学司提供博士后研究奖学金,为最近的博士毕业生提供获得额外培训的机会,在知名科学家的赞助下获得研究经验,并扩大他们在本科和研究生训练之外的科学视野。博士后奖学金的进一步设计是为了帮助新科学家指导他们跨越传统学科线的研究工作,并利用他们自己独特的研究资源、地点和设施,包括在国外的研究地点。该博士后奖学金奖励支持研究复杂社会和生态系统的新兴跨学科学者。人类依靠自然环境来支持一系列广泛的社会需求,如健康、繁荣和福利。然而,自然系统正面临着前所未有的压力,迫切需要促进全球可持续性的战略。这一挑战对珊瑚礁尤为重要,因为珊瑚礁对支持生物多样性和人类福祉至关重要,但在全球范围内却在持续减少。为了应对这一挑战,该基金将资助一名SBE博士后,研究沿海社区内部和渔业资源之间的联系如何有助于成功(或不成功)管理珊瑚礁。结果揭示了有问题的权力动态,并就社区和从业者应该寻求建立的联系提供了建议,以改善生物多样性保护和社会福祉。支持NSF ?该项目以促进国家健康、繁荣和福利为使命,直接为美国和国外的珊瑚礁管理规划和实践提供信息,并将结果和见解传播给渔业社区、从业者、海洋资源管理者和科学界。该项目也直接涉及NSF?通过将社会科学和生态科学的理论和数据联系起来,并通过定义应用生态系统建模的前沿,促进科学进步。最后,该项目通过为研究员提供宝贵的培训,并为她在学术界的富有成效的职业生涯做好准备,从而促进教育和多样性。人(社会系统)和自然(生态系统)内部和之间的联系如何调节社会-生态系统的结果?社会系统和生态系统在多大程度上是相互依存的,这又会因环境而有何不同?为了回答这些问题,SBE研究员正在推进一个新的跨学科网络建模框架,以评估渔业社区和渔业资源内部和之间的社会生态相互依赖如何在整个亚太地区的珊瑚礁生态系统中调节结果,即生计效益和可持续渔业。本研究利用多层次随机图建模的前沿技术,结合社会学、政治经济学、人文地理学和生态学的观点,旨在:(1)识别关键的社会和生态相互依存关系;(2)了解社会行为者如何调节社会互动和与资源的关系;(3)为更有效的自然资源管理发展新的理论和实践指导。该项目为社会和生态系统如何相互联系、推动社会生态结构形成的因素以及社会生态反馈如何与结果相关提供了重要的实证见解,从而为发展适用于更广泛环境的理论提供了独特的机会。这项工作还有助于越来越多的跨学科研究,探讨社会连通性、权力不对称和社会-生态一致性在促进(或阻碍)环境治理的理想结果中的作用。最后,本研究提出了一种新的跨学科方法框架,可以在社会科学和生态科学的一系列背景下进行实证应用。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Key players in conservation diffusion: Using social network analysis to identify critical injection points
- DOI:10.1016/j.biocon.2017.03.031
- 发表时间:2017-06-01
- 期刊:
- 影响因子:5.9
- 作者:Mbaru, Emmanuel K.;Barnes, Michele L.
- 通讯作者:Barnes, Michele L.
Social networks and environmental outcomes
- DOI:10.1073/pnas.1523245113
- 发表时间:2016-06-07
- 期刊:
- 影响因子:11.1
- 作者:Barnes, Michele L.;Lynham, John;Leung, PingSun
- 通讯作者:Leung, PingSun
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Michele Barnes其他文献
Harnessing multiple domains of adaptive capacity: insights from the COVID-19 pandemic
- DOI:
10.1007/s10113-025-02421-w - 发表时间:
2025-06-16 - 期刊:
- 影响因子:3.600
- 作者:
Sarah Sutcliffe;Jacqueline Lau;Michele Barnes;Innocent Muly;Stephen Wanyonyi;Emmanuel Mbaru;Nyawira Muthiga;Joshua Cinner - 通讯作者:
Joshua Cinner
Information Sharing Networks and Rates of Incidental Catch
信息共享网络和偶然捕获率
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Michele Barnes;John M. Lynham;Kolter Kalberg;P. Leung - 通讯作者:
P. Leung
Michele Barnes的其他文献
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