U.S.-Spain Cooperative Research: Modeling Grass and Shrub Vegetation Recovery After Disturbance

0104728 Acevedo这个为期两年的奖项，支持美国-西班牙合作研究干扰后草和灌木植被恢复建模，使用产品成像技术研究分子动力学，涉及北德克萨斯大学的Miguel阿切韦多和西班牙阿利坎特大学的Jose Bonvehi。 他们的研究目标是发展基于个体的植被再生模型，并通过估计基于个体的模型的简单转换模型的参数来发展放大方法。S.调查员带来了他的建模和空间分析的经验。 这是补充西班牙研究人员的专业知识，在建模人口和社区动态和他的数据集的热带草生长和草/灌木恢复动态干扰事件后。这项研究的结果，预计将提供一个有用的保护工作和生态恢复土壤中的蔬菜动态的理解，并评估其对地球化学循环的影响。

0104728AcevedoThis two-year award, which supports U.S.-Spain cooperative research on modeling grass and shrub vegetation recovery after disturbance, using product imaging techniques to investigate molecular dynamics, involves Miguel Acevedo of the University of North Texas and Jose Bonvehi at the University of Alicante, Spain. The objectives of their research are to develop individual-based models for vegetation regeneration, and to develop scale-up methods by estimating parameters of the simpler transition models from the individual-based models.The U. S. investigator brings to this collaboration his experience with modeling and spatial analysis. This is complemented by the Spanish investigators' expertise in modeling population and community dynamics and his data sets on tropical grass growth and grass/shrub recovery dynamics after disturbance events. The results of this research are expected to provide an understanding of vegetable dynamics in soil useful to conservation efforts and ecological restoration, and to assessing their influence on geochemical cycles.