DISES: Decision Making for Land Use Planning under Future Climate Scenarios through Engaged Research via Co-Design

DISES：通过协同设计进行参与研究，在未来气候情景下制定土地利用规划决策

• 批准号: 2308277
• 负责人: Amy Frazier
• 金额: $ 159.98万
• 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: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2308277&HistoricalAwards=false
• 关键词: DISES; Decision; Making; Land; Use

The apparent loss of biodiversity as a function of human activities has many species on the brink of extinction. However, humans slso have the power to make the decisions to prevent biodiversity losses and improve ecosystem functioning on Earth. This research addresses the question of how scientists and decision makers can work together to develop sustainable land-use solutions in a way that leverages the best available data, technology, and predictive tools in a manner that can be translated into policy action. The researchers on this project will work directly with scientists and policy makers in Colombia—the second most biodiverse country in the world—to develop models that can predict future land use changes and use those models to make sustainable land-use decisions. A broad set of participants will engage in the research through workshops where the models will be developed, and participant feedback will be used to improve the usability and usefulness of the outputs. The effectiveness of the approach will be evaluated to determine how such an engaged research approach can be improved in the future. Additionally, this project will broaden participation in conservation science and STEM by providing training and mentoring to students and postdocs.Bringing together scientists and decision makers through an engaged research approach, this project uses co-design to advance toward more viable systems of knowledge production that involve decision makers in shaping the research, not just receiving the outcomes. Basic scientific theories and models of land use and biodiversity forecasting will be advanced by integrating diverse, multi-scale data into dynamic prediction models to inform actionable and sustainable land use plans to prevent the loss of biodiversity and ecosystem services while also ensuring food and energy security into the future. These projections will be used to prioritize different areas for conservation, agriculture, and energy land uses according to stakeholder inputs and feedback so that they can support sustainable land-use decisions in support of global targets such as the United Nations Sustainable Development Goals and the Convention on Biological Diversity’s 30x30 target. The sensitivity of the models to user-determined scenarios and data inputs will be assessed to inform how the model responds to different points of leverage on the target variables leading to different land use prioritizations and different model parameterizations. The process of knowledge creation and use will also be assessed for its efficacy and effectiveness to better understand how co-design can lead to translational research outcomes and interventions that will ultimately improve the decision-making capacity of agencies.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.

生物多样性的明显丧失与人类活动的关系有许多物种眨眼间。但是，人类SLSO有能力做出决策，以防止生物多样性损失并改善地球上的生态系统功能。这项研究解决了一个问题，即科学家和决策者如何以一种可以将最佳的数据，技术和预测工具以可以转化为政策行动的方式来开发可持续的土地利用解决方案。该项目的研究人员将直接与哥伦比亚的科学家和政策制定者（世界第二大生物多样性国家）合作，以开发可以预测未来土地使用变化并使用这些模型来做出可持续土地利用决策的模型。一系列广泛的参与者将通过开发模型的研讨会进行研究，参与者的反馈将用于提高产出的可用性和实用性。将评估该方法的有效性，以确定将来如何改善这种参与的研究方法。此外，该项目将通过向学生和博士学位提供培训和心理来扩大对保护科学和STEM的参与。通过一种参与的研究方法将科学家和决策者一起培养，该项目使用共同设计来促进更可行的知识生产系统，该系统涉及决策者涉及研究研究，而不仅仅是塑造研究的结果。土地使用和生物多样性预测的基本科学理论和模型将通过将多样性的多尺度数据整合到动态预测模型中，以告知可操作和可持续的土地利用计划，以防止生物多样性和生态系统服务的丧失，同时还确保食品和能源和能源安全。根据利益相关者的投入和反馈，这些项目将用于优先考虑保护，农业和能源土地利用的不同领域，以便它们可以支持可持续的土地利用决策，以支持联合国可持续发展目标以及《生物多样性30x30目标的公约》等全球目标。将评估模型对用户确定的方案和数据输入的敏感性，以告知模型如何响应目标变量的不同杠杆率，从而导致不同的土地使用优先级和不同的模型参数。知识创建和使用过程还将被评估为其有效性和有效性，以更好地理解共同设计如何导致翻译的研究成果和干预措施，最终将提高机构的决策能力。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子优点和广泛的影响来评估NSF的法定任务，并被认为是宝贵的支持。