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

Acevedo0108563详细的生态数据被用来开发林分的计算机模型，该模型已被应用于解决资源管理问题。然而，越来越需要回答与更大区域相关的问题，例如，改变土地利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纳入植被复盖变化模型的方法，以帮助回答这些广泛的问题。具体地说，Acevedo博士和他的同事们将开发一些方法，来计算将模型转换到更大区域时的不确定性，衡量邻近植被斑块的影响，并确定这些变化在大片土地上如何变化的一般数学函数。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，团队成员包括建模人员、数学家、计算机科学家

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