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相关的挑战。例如，野火季节一年比一年早到来，消耗了越来越多的工作人员的时间和资源，而且入侵物种向北移动对管理构成了挑战。佛罗里达州立公园的决策者感兴趣的是，通过使用基于研究的决策支持方法，找到应对这些挑战的新方法。然而，人员配备不足和部署新的管理和规划的能力有限，限制了它们的能力。这一民间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土地上的气候适应有关的问题。我们计划试行一个“数据到决策快速反应小组”的方法，将当地的专业知识与大学研究科学家配对，以确定和试验解决当地保护土地管理挑战的解决方案。这些小组将利用关于环境决策支持的尖端研究来解决环境问题，同时还收集关于这种方法的有效性的信息。它将作为一种潜在的实施模式，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。基于决策理论的方法在组织问题和确定解决方案方面显示出巨大的希望，可以促进高效和有效的管理路径，以实现预期的环境结果。然而，到目前为止，这些方法对于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，以支持单个组织提高其测试基于理论的决策支持方法的益处的能力。这种支持包括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追求需要解决的问题。然而，为了在地方组织内大幅增加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”快速反应小组试点项目旨在做到这一点，在我们共同为3-5个试点项目制定解决方案时，通过向社区土地管理机构提供资金、人员和技术支持，同时还衡量方法的有效性，以便以后可以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的响应--Track A.生活在不断变化的气候中：围绕适应、恢复和缓解的灾前行动--是NSF、国土安全部和能源部的合作。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。