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.

该项目旨在采用一种生态杂种方法，该方法可以识别三个相关但不同的元素，这些元素塑造了植被形式之间的动态相互作用，并与耦合的水，能量和碳循环发挥作用。 这些要素是植被在给定的环境条件下以最佳方式（最佳性）发挥作用，植被在压力下改变了其策略，以最大化二氧化碳（CO2）征服（适应性），这种变化会导致水，植被和能量交换之间的非线性反馈，从而导致了特定的研究和模式的依从性（一种依从性）。关于各种生态系统的最佳，适应和复杂性的假设。 2）开发一个动态预测模型，该模型基于最佳，适应和复杂性的原理，以表征从树冠到生态系统量表的水，能量和植被特征。 3）在人类和气候引起的干扰的情况下，在各种空间和时间尺度上探索水，能量和碳循环之间的关系。 该项目的最终产品将是一种新的地表模型系统，可以结合动态和不断发展的植被模式和行为，然后可以将其纳入新一代的全球或区域气候模型。 更广泛的影响包括学生和分区后培训，本科少数族裔学生从事研究培训的暑期学校的参与。