QEIB: Uncertainty Analysis, Spatial Interaction and Response Functions in Scaling-up Models of Forest Ecosystems

QEIB：森林生态系统放大模型中的不确定性分析、空间相互作用和响应函数

• 批准号: 0108563
• 负责人: Miguel Acevedo
• 金额: $ 8.99万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2006-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0108563&HistoricalAwards=false
• 关键词: QEIB; Uncertainty; Analysis; Spatial; Interaction

AbstractAcevedo0108563Detailed ecological data have been used to develop computer models of forest stands that have been applied to solve resource management issues. Increasingly, however, there is a need to answer questions that are relevant for larger areas, for example the impact of changing land use and of removing forest cover on habitat and water quality. This project will contribute to the methodology for scaling forest simulators into models of vegetation cover change in order to help answer those broad scale questions. Specifically, Dr. Acevedo and colleagues will develop methods to calculate the uncertainty associated with translating the model to larger areas, to scale the effect of neighboring vegetation patches, and to determine general mathematical functions of how those changes vary across a large landscape. The investigators will engage students in research as well as international collaboration with a team that is interdisciplinary and includes modelers, a mathematician, a computer scientist

详细的生态数据已被用于开发已被应用于解决资源管理问题的林分的计算机模型。然而，越来越需要回答与更大地区有关的问题，例如改变土地使用和消除森林覆盖对生境和水质的影响。该项目将有助于将森林模拟器缩放为植被覆盖变化模型的方法，以帮助回答这些广泛的问题。具体来说，阿切韦多博士和同事将开发方法来计算与将模型转换到更大区域相关的不确定性，以缩放邻近植被斑块的影响，并确定这些变化如何变化的一般数学函数在大景观中。研究人员将让学生参与研究，并与一个跨学科的团队进行国际合作，该团队包括建模师，数学家，计算机科学家