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（例如佛罗里达州立公园机构）面临着众多与气候变化相关的挑战。例如，野火季节每年都会提前到来，消耗越来越多的工作人员时间和资源，而管理总体上面临入侵物种北移的挑战。佛罗里达州立公园决策者有兴趣通过使用基于研究的决策支持方法来寻找新的方法来应对这些挑战。然而，人员配备不足以及部署新管理和规划的能力有限，限制了他们的能力。该 CIVIC 项目将使佛罗里达州立公园能够培养员工知识和能力，以使用数据驱动的决策支持方法来解决与公共保护土地气候适应相关的问题。我们计划试行“从数据到决策的快速响应团队”方法，将当地专业知识与大学研究科学家结合起来，以确定并尝试解决当地保护土地管理挑战的解决方案。这些团队将利用环境决策支持的前沿研究来解决环境问题，同时收集有关该方法有效性的信息。它将作为一个潜在的实施模型，使用这种基于团队的方法来解决负责制定与公共土地管理相关的决策的实体所遇到的类似问题。基于决策理论的构建问题和确定解决方案的方法在促进高效和有效的管理途径实现预期环境成果方面显示出巨大的希望。然而，迄今为止，这些方法对于社区土地管理组织来说还遥不可及。尽管人们对采用基于理论的决策支持流程表现出明显的兴趣，但陡峭的学习曲线和不确定的收益尤其阻碍了许多组织的采用。我们一直在开发方法来支持各个组织提高测试基于理论的决策支持方法的好处的能力。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，为了大幅增加地方组织内基于理论的决策支持的使用，我们需要迅速扩大所使用的方法和地方组织的参与能力。 “从数据到决策”快速响应团队试点项目旨在通过向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，我们共同制定 3-5 个试点项目的解决方案，同时衡量该方法的有效性，以便以后可以对其进行完善和扩展，以支持其他保护组织。该项目是为了响应公民创新挑战计划——轨道 A：气候变化中的生活：围绕适应、复原力和缓解的灾前行动，并且是 NSF、国土安全部和能源部之间的合作。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。