RCN-HERS: Research Coordination Network for Hurricane Ecosystem Response Synthesis

热带气旋是影响人类社会和生态系统最严重的扰动之一。这些风暴对沿海生态系统和使用和享受这些自然资源的人们都产生了巨大的影响。然而，每次风暴的影响在损害的数量和恢复时间上都是独一无二的。此外，热带气旋发生的频率、强度和位置预计也会发生变化。热带气旋在某些地区可能变得更常见，而在另一些地区则可能变得更强烈。该奖项将增加对风暴特征和受影响的沿海生态系统的各个方面导致风暴和恢复速度的不同影响的理解。在飓风生态系统反应综合研究协调网络（RCN-HERS）中，来自不同学科和专业领域的科学家将贡献他们的集体知识和丰富的风暴对沿海生态系统影响的现有数据来回答这些问题。通过RCN-HERS收集的数据将公开供其他研究团队用于未来的工作，该项目将建立一个由生态学、社会学、经济学和自然资源管理等学科的研究人员组成的合作网络。从这个项目中获得的理解将有助于研究人员预测未来风暴的影响，并为管理沿海生态系统提供更大的弹性建议。RCN-HERS网站将作为一个可公开访问的数据仓库和共享有关研究活动、发现和产品的信息的场所。该项目的调查结果也将通过当地的外联介绍向公众传播。飓风生态系统反应综合研究协调网络的总体目标是将陆地、淡水和海洋生态学家与经济学家、社会学家、统计学家、建模师和资源管理者联系起来，对控制沿海生态系统对热带气旋的抵抗力和恢复力的因素进行综合理解，并采用协调的方法对事件及其影响进行比较。与会者将通过一系列研讨会和网络研讨会会面，汇集有关生态系统对飓风反应的现有数据。研究人员还将共同开发和实施一系列专题方法，以分析和综合这些现有数据和信息，为未来的网络化研究提出建议，继续推进对未来飓风将如何影响沿海生态系统的生态学理解。项目活动将围绕三个研讨会展开，讨论以下主题：1)先决条件和风暴特征对生态系统响应的相互作用；2)生态进化史、生命史和生物多样性对生态系统响应的作用；3)赋予热带气旋抵抗力和复原力的自然系统和社会经济系统之间的反馈。研讨会将包括前期网络研讨会和数字规划会议，随后是概念模型、数据分析和综合的现场开发。该奖项反映了美国国家科学基金会的法定使命，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。

Tropical cyclones are one of the most severe disturbance affecting social and ecological systems. These storms have huge impacts on both coastal ecosystems and the people that use and enjoy those natural resources. However, the impacts of each storm are unique in both the amount of damage and recovery time. Furthermore, the frequency, intensity, and locations where tropical cyclones occur are expected to change. Tropical cyclones may become more common in some regions or more intense in others. This award will increase the understanding of what storm characteristics and the aspects of the affected coastal ecosystems result in the differential impacts among storms and rates of recovery. In the Research Coordination Network for Hurricane Ecosystem Response Synthesis (RCN-HERS) scientists from diverse disciplines and areas of expertise will contribute their collective knowledge and the wealth of existing data on storm impacts on coastal ecosystems to answer these questions. The data assembled through RCN-HERS will be publicly available for other research teams to use for future work and the project will build a collaborative network of researchers across disciplines of ecology, sociology, economics, and natural resource management. The understanding gained from this project will help researchers predict the impacts of future storms and provide recommendations for managing coastal ecosystems for greater resilience. The RCN-HERS website will serve as a publicly accessible data warehouse and venue for sharing information about research activities, findings, and products. Findings from the project will also be disseminated to the public through local outreach presentations. The Research Coordination Network for Hurricane Ecosystem Response Synthesis will have the overarching goal of linking terrestrial, freshwater, and marine ecologists with economists, sociologists, statisticians, modelers, and resource managers to develop a synthetic understanding of the factors governing the resistance and resilience of coastal ecosystems to tropical cyclones, as well as a coordinated approach to comparing among events and their impacts. Participants will meet through a series of workshops and webinars to bring together existing data on ecosystem responses to hurricanes. Researchers will also work together to develop and implement a series of thematic approaches to analyzing and comprehensively synthesizing this existing data and information to build recommendations for future networked research to continue to advance ecological understanding of how hurricanes will impact coastal ecosystems in the future. Project activities will be centered around three workshops to address topics focused on understanding 1) interactions among antecedent conditions and storm characteristics on ecosystem responses, 2) roles of eco-evolutionary history, life history, and biodiversity on ecosystem responses, and 3) feedbacks among natural and social-economic systems that confer resistance and resilience to tropical cyclones. Workshops will include lead-up webinars and digital planning meetings followed by in-person development of conceptual models, data analyses, and syntheses.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.