CIVIC-PG Track A: Piloting the application of the data-to-decisions rapid response team to support climate adaptation planning within the Florida State Park system

CIVIC-PG 轨道 A：试点应用数据到决策快速响应团队，支持佛罗里达州立公园系统内的气候适应规划

• 批准号: 2228728
• 负责人: Gwenllian Iacona
• 金额: $ 5万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228728&HistoricalAwards=false
• 关键词: CIVIC; PG; Track; Piloting; application

Community land management agencies – such as the Florida State Parks agency - are faced with numerous climate change-related challenges. For instance, wildfire season is arriving earlier each year and consuming increasing staff time and resources, and management, in general, is challenged by the northward movement of invasive species. Florida State Parks decision makers are interested in finding new ways to address these challenges by using research-based decision support approaches. However inadequate staffing and limited capacity to deploy new management and planning have limited their capabilities. This CIVIC project will enable Florida State Parks to develop the staff knowledge and capacity to use data-driven decision support approaches to solve problems related to climate adaptation on public conservation lands. We plan to pilot a “data-to-decisions rapid response team” approach that pairs local expertise with university research scientists to identify and trial solutions to local conservation land management challenges. These teams will use cutting-edge research on environmental decision support to solve environmental problems while also gathering information on the effectiveness of this approach. It will serve as a potential implementation model for the use of this team-based approach to address similar issues encountered by entities tasked with making decisions related to the management of public lands.Decision-theory-based approaches for structuring problems and identifying solutions show tremendous promise for promoting efficient and effective management pathways to desired environmental outcomes. However, to date, these approaches have been out of reach for community-based land management organizations. Despite clear interest in embracing theory-based decision support processes, the steep learning curve and uncertain benefits have particularly hindered uptake among many organizations. We have been developing approaches to support individual organizations in improving their capacity to test the benefit of theory-based decision support approaches. This support involves researchers and organization members working together to use approaches such as structured decision-making and return-on-investment theory to pursue a problem that needs solving. However, to substantially increase the use of theory-based decision support within local organizations, we need to rapidly scale the approaches used and the capacity of local organizations to engage. The “data to decisions” rapid response team pilot project aims to do that by providing financial, staffing, and technical support to the community land management agency as we co-produce solutions to 3-5 pilot projects, while also measuring the effectiveness of the approach so that it can be refined and scaled to support other conservation organizations later. This project is in response to the Civic Innovation Challenge program—Track A. Living in a changing climate: pre-disaster action around adaptation, resilience, and mitigation—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.

社区土地管理机构--如佛罗里达州立公园管理局--面临着许多与气候变化有关的挑战。例如，野火季节一年比一年来得早，消耗的工作人员时间和资源越来越多，而且入侵物种向北移动，对管理工作提出了挑战。佛罗里达州立公园的决策者有兴趣找到新的方法来解决这些挑战，通过使用基于研究的决策支持方法。然而，人员配置不足，部署新的管理和规划能力有限，限制了他们的能力。这个CIVIC项目将使佛罗里达州立公园能够发展工作人员的知识和能力，使用数据驱动的决策支持方法来解决与公共保护区气候适应有关的问题。我们计划试行一个“数据决策快速反应小组”的方法，将当地的专业知识与大学的研究科学家结合起来，以确定和试验解决当地保护土地管理挑战的方案。这些团队将利用关于环境决策支持的尖端研究来解决环境问题，同时收集有关这种方法有效性的信息。它将作为一个潜在的实施模式，使用这种团队为基础的方法来解决类似的问题所遇到的实体负责决策有关的公共lands.Decision-theory的方法，结构化的问题和确定解决方案显示出巨大的承诺，促进高效和有效的管理途径，以预期的环境成果。然而，到目前为止，这些办法对社区土地管理组织来说是遥不可及的。尽管对采用基于理论的决策支持流程有着明确的兴趣，但陡峭的学习曲线和不确定的好处尤其阻碍了许多组织的采用。我们一直在开发方法，以支持个别组织提高他们的能力，以测试基于理论的决策支持方法的好处。这种支持涉及研究人员和组织成员共同努力，使用结构化决策和投资回报理论等方法来解决需要解决的问题。然而，为了在当地组织中大幅增加基于理论的决策支持的使用，我们需要快速扩展所使用的方法和当地组织的参与能力。“数据决策”快速反应小组试点项目旨在通过为社区土地管理机构提供财务，人员和技术支持来实现这一目标，因为我们共同为3-5个试点项目提供解决方案，同时还测量方法的有效性，以便以后可以对其进行改进和扩展以支持其他保护组织。该项目是对公民创新挑战计划-轨道A的回应。生活在不断变化的气候中：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。