Interactions Between Water, Energy and Carbon Dynamics as Predictors of Canopy to Ecosystem Scale Vegetation Pattern and Function in a Changing Environment

水、能源和碳动态之间的相互作用作为冠层对生态系统规模植被模式和变化环境中功能的预测

• 批准号: 0628687
• 负责人: Praveen Kumar
• 金额: $ 165万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0628687&HistoricalAwards=false
• 关键词: Interactions; Between; Water; Energy; Carbon

This project seeks to adopt an eco-hydrologic approach that gives recognition to three related but distinct elements that shape the dynamic interactions between vegetation form and functioning with the coupled water, energy and carbon cycles. These elements are that vegetation functions in an optimum way under given environmental conditions (optimality), the vegetation modifies its strategy under stress for maximizing carbon dioxide (CO2)-assimilation (acclimatization), and that such changes lead to nonlinear feedbacks between water, vegetation and energy exchanges that may lead to specific regimes or patterns being expressed (complexity).The main objectives of this research are: 1) Define and test the hypotheses on optimality, acclimatization, and complexity for a variety of ecosystems. 2) Develop a dynamic predictive model that is based on the principles of optimality, acclimatization, and complexity for characterizing the water, energy, and vegetation characteristics from the canopy to the ecosystem scale. 3) Explore the relationship between water, energy, and carbon cycles at various spatial and temporal scales under the scenarios of human and climate induced disturbance. The ultimate product of the project will be a new land surface model system that can incorporate dynamic and evolving vegetation patterns and behavior, which can then be incorporated in a new generation of global or regional climate models. Broader impact includes student and post-doc training, summer school involvement of undergraduate minority students in research training.

该项目寻求采用一种生态水文方法，该方法认识到三个相关但不同的要素，这些要素塑造了植被形态和功能与水、能量和碳循环耦合之间的动态相互作用。 这些要素是植被在给定环境条件下以最佳方式发挥作用（最优性），植被在压力下修改其策略以最大化二氧化碳（CO2）同化（适应），并且这种变化导致水、植被之间的非线性反馈和能量交换，可能导致表达特定的制度或模式（复杂性）。本研究的主要目标是：1）定义并测试各种假设的最优性、适应性和复杂性生态系统。 2）开发基于最优性、适应性和复杂性原则的动态预测模型，用于表征从冠层到生态系统规模的水、能量和植被特征。 3）探索人类和气候干扰情景下不同时空尺度的水、能源和碳循环之间的关系。 该项目的最终产品将是一个新的陆地表面模型系统，该系统可以包含动态和不断变化的植被模式和行为，然后可以将其纳入新一代的全球或区域气候模型中。 更广泛的影响包括学生和博士后培训、少数民族本科生参与研究培训的暑期学校。