RCN: Patterns, Places, People: A Network for Scalable Airborne Observation of Socio-Environmental Systems

RCN：模式、地点、人物：社会环境系统可扩展机载观测网络

• 批准号: 2054939
• 负责人: Cathlyn Davis
• 金额: $ 50万
• 依托单位: University of Maryland Center for Environmental Sciences
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2054939&HistoricalAwards=false
• 关键词: RCN; Patterns; Places; People; Network

Addressing many of the challenges society faces, including climate change, food and water insecurity, and biodiversity loss, requires a better understanding of the interactions between people and their environment. Important interactions depend on scale (e.g., individuals, communities, government) and environmental conditions, suggesting the value in a landscape perspective. Landscapes include people with diverse perspectives and experiences, and there are many different fields of research relevant to understanding how humans and their non-human counterparts interact with changing environments. For this reason, the study of Socio-Environmental Systems (SES) can benefit from transdisciplinary cooperation that engages stakeholders in the development of scientific research that recognizes and leverages the social and behavioral dynamics of ecological systems. This Research Coordination Network (RCN) project will develop the Landscape Exchange Network for Socio-environmental systems research (LENS), which will leverage detailed observations from the National Ecological Observatory Network’s Airborne Observation Platform (NEON AOP) to study SES across the United States. LENS will build a network of researchers and stakeholders with interest in the NEON sites currently observed by the AOP. LENS will collaboratively work to understand the variability in SES across NEON sites and to address environmental outcomes of societal concern to LENS membership. Broader impacts of this project will include training a graduate student and engaging approximately 1 million people that live within or in close proximity to NEON AOP landscapes. Addressing privacy and ethical concerns, issues of environmental justice, and other concerns of large- and small-holder land-owners and -managers within these landscapes will be central to the work of the RCN.To improve capacity for SES research, societal understanding of SES, and environmental outcomes, this project will initiate and coordinate an RCN for Socio-environmental systems research. LENS will (Objective #1) characterize SES represented in the landscapes surveyed by the NEON AOP. As these SES are characterized, and in collaboration with NEON domain managers, LENS will identify and engage stakeholders in network activities from AOP landscapes. With scientist and stakeholder members, LENS will (Objective #2) develop strategies that support an effective translational ecology approach in these landscapes. In doing so, LENS will (Objective #3) develop and communicate methods for using AOP data in SES research using the translational ecology approach. These objectives will be met through a combination of virtual and in-person meetings, data discovery and sharing, development of an online repository of AOP-related computational tools, and production of communication products. The network will create and openly share an accessible, curated and transdisciplinary repository of data relevant to SES in the AOP landscapes, and will strengthen inter-institutional pathways for translational ecology employing AOP. These broader impacts will be a new model for engagement of the public in scientific research.This project is being jointly funded by the Macrosystems Biology & NEON-Enabled Science and the Human-Environment & Geographical Sciences programs.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.

应对社会面临的许多挑战，包括气候变化、粮食和水不安全以及生物多样性丧失，需要更好地了解人与环境之间的相互作用。重要的相互作用取决于规模（例如，个人，社区，政府）和环境条件，表明在景观的角度来看的价值。景观包括具有不同观点和经验的人，并且有许多不同的研究领域与了解人类及其非人类同行如何与不断变化的环境互动有关。出于这个原因，社会环境系统（SES）的研究可以受益于跨学科的合作，使利益相关者参与科学研究的发展，认识到并利用生态系统的社会和行为动态。该研究协调网络（RCN）项目将开发社会环境系统研究景观交换网络（透镜），该网络将利用国家生态观测网络空中观测平台（氖AOP）的详细观测来研究美国各地的SES。透镜将建立一个研究人员和利益相关者网络，对AOP目前观察到的氖站点感兴趣。透镜将协同工作，以了解氖站点之间SES的变化，并解决透镜成员社会关注的环境后果。该项目的更广泛影响将包括培训一名研究生，并吸引大约100万居住在氖AOP景观内或附近的人。解决隐私和道德问题，环境正义问题，以及大，小土地所有者和管理者在这些景观的其他问题将是RCN的工作的核心。为了提高SES研究的能力，社会对SES的理解和环境成果，该项目将启动和协调RCN的社会环境系统研究。透镜将（目标1）描述氖AOP调查的景观中所代表的SES。由于这些SES的特点，并与氖域管理器的合作，透镜将识别和参与从AOP景观的网络活动的利益相关者。与科学家和利益相关者成员，透镜将（目标#2）制定战略，支持在这些景观有效的转化生态学方法。在此过程中，透镜将（目标#3）开发和交流在SES研究中使用AOP数据的方法，使用转化生态学方法。这些目标将通过虚拟会议和面对面会议、数据发现和共享、开发与AOP相关的计算工具的在线存储库以及制作通信产品来实现。该网络将创建并公开共享AOP景观中与SES相关的可访问，策划和跨学科数据库，并将加强采用AOP的转化生态学的机构间途径。这些更广泛的影响将成为公众参与科学研究的新模式。该项目由宏观系统生物学NEON使能科学和人类环境地理科学项目共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。