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

应对社会面临的许多挑战，包括气候变化、粮食和水的不安全以及生物多样性的丧失，需要更好地了解人与环境之间的相互作用。重要的互动取决于规模(例如，个人、社区、政府)和环境条件，从景观的角度来看，这表明了价值。风景包括具有不同视角和经历的人，有许多不同的研究领域与理解人类和他们的非人类同行如何与变化的环境互动相关。因此，社会环境系统(SES)的研究可以从跨学科合作中受益，这种合作使利益相关者参与认识和利用生态系统的社会和行为动态的科学研究的发展。这一研究协调网络(RCN)项目将开发社会环境系统研究的景观交流网络(LENS)，该网络将利用国家生态观测网的空中观测平台(NEON AOP)的详细观测来研究美国各地的SES。Lens将建立一个由研究人员和利益相关者组成的网络，他们对AOP目前观察到的霓虹灯站点感兴趣。Lens将合作了解霓虹灯站点的SES的可变性，并解决Lens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，并让居住在霓虹灯AOP景观内或附近的约100万人参与进来。解决这些景观中的大小所有者和管理者所关心的隐私和伦理问题、环境正义问题以及其他关切问题，将是区域环境保护小组工作的核心。为了提高区域生态系统研究的能力，提高社会对环境生态系统和环境成果的理解，该项目将发起和协调一个区域环境网络，以促进社会环境系统研究。Lens将(目标1)描述由霓虹灯AOP调查的景观中所代表的SES。随着这些SE的特征确定，并与霓虹域管理者合作，LENS将从AOP环境中识别并吸引利益相关者参与网络活动。与科学家和利益相关者成员一起，Lens将(目标2)制定战略，支持在这些景观中采用有效的转化生态学方法。在这样做的过程中，Lens将(目标3)开发和交流在SES研究中使用AOP数据的方法，使用翻译生态学的方法。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有关的计算工具的在线储存库以及制作通信产品来实现。该网络将创建并公开共享一个可访问的、经过管理的、与AOP环境中的SES相关的跨学科数据储存库，并将加强采用AOP的翻译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。该项目由大系统生物学与霓虹灯启动科学和人类-环境与地理科学计划联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.