Scaling Process and Pattern in Montane Forest Landscapes

山地森林景观的尺度过程和模式

• 批准号: 0108191
• 负责人: Dean Urban
• 金额: $ 30万
• 依托单位: Duke University
• 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: 2001-08-15 至 2005-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0108191&HistoricalAwards=false
• 关键词: Scaling; Process; Pattern; Montane; Forest

This project aims to quantify the relationship of environmental variables to the spatial distribution and abundance of forest tree species in montane forest landscapes. Field studies will be conducted at sites in the western Cascades (OR), the Sierra Nevada (CA), the White Mountains (NH), and the Southern Appalachians (NC). These sites have exceptional baseline data sets that will be expanded for model development and validation during this project. Complex environmental gradients will be divided into component variables (topography, soils, climate). Field studies will investigate forest establishment (including dispersal), growth, and death in response to those individual variables. A modeling framework will be used to synthesize forest response within and between sites. These models will be used to develop regionally nested sensitivity analyses indicating the relative importance of different environmental parameters and biotic variables in governing ecosystem responses. The results of this study will allow us to make more valid projections of possible forest response to environmental change.

该项目旨在量化环境变量与山地森林景观中森林树种的空间分布和丰富度之间的关系。将在西部喀斯喀特山脉（OR）、Sierra内华达州（CA）、白色山脉（NH）和南阿巴拉契亚山脉（NC）的研究中心进行实地研究。这些站点具有特殊的基线数据集，将在本项目期间扩展用于模型开发和验证。复杂的环境梯度将被分为组成变量（地形、土壤、气候）。 实地研究将调查森林的建立（包括扩散），生长和死亡对这些变量的反应。一个模型框架将用于综合森林内和站点之间的响应。这些模型将用于制定区域嵌套敏感性分析，表明不同的环境参数和生物变量在控制生态系统反应方面的相对重要性。这项研究的结果将使我们能够更有效地预测森林对环境变化的可能反应。