Predicting the Distribution and Dynamics of Forest Vegetation in the Central Rocky Mountains; Leaf Area, Sapwood, and Site Water Balance at the Tree, Stand, and Landscape Level

预测落基山脉中部森林植被的分布和动态；

• 批准号: 9903947
• 负责人: David Roberts
• 金额: $ 26.99万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-15 至 2004-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9903947&HistoricalAwards=false
• 关键词: Predicting; Distribution; Dynamics; Forest; Vegetation

9903947RobertsThis project proposes to develop a mechanistic and spatially explicit model describing the growth, structure and species composition of forests in the Rocky Mountains. The framework for the conceptual model and the specific hypothesis is built on the extensive theoretical and empirical research on water relations and carbon allocation. This new model, the Leaf Area Allocation Simulation (LAASIM) will be an individual tree-based simulation model that is physiologically-mechanistic in a way that is sensitive to climate and environmental variability that is based upon fundamental research in woody plant biology. This information gained from this research will highlight our understanding of the interaction of environmental variability and basic organism- and community-level biological and ecological mechanisms, and test a number of hypotheses concerning these mechanisms.

9903947 Roberts该项目建议开发一个描述落基山脉森林生长、结构和物种组成的机制和空间明确的模型。概念模型和具体假设的框架是建立在广泛的水关系和碳分配的理论和实证研究。这个新的模型，叶面积分配模拟（LAASIM）将是一个单独的树木为基础的模拟模型，是生理机制的方式，是敏感的气候和环境变化的基础上，在木本植物生物学的基础研究。从这项研究中获得的信息将突出我们对环境变异性与基本生物和社区一级生物和生态机制相互作用的理解，并测试有关这些机制的一些假设。