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

0104728Aceve这项为期两年的奖项支持美国和西班牙合作研究干扰后草地和灌木植被的恢复模型，使用产品成像技术研究分子动力学，该奖项的获得者是北得克萨斯大学的Miguel Acevedo和西班牙阿利坎特大学的Jose Bonvehi。他们的研究目标是开发基于个体的植被更新模型，并通过估计基于个体的模型的简单过渡模型的参数来开发放大方法。这位美国研究人员将他在建模和空间分析方面的经验带到了这次合作中。西班牙研究人员在人口和群落动态建模方面的专业知识，以及他在干扰事件后热带草生长和草/灌木恢复动态的数据集，补充了这一点。这项研究的结果有望为了解土壤中蔬菜的动态变化提供有用的保护措施和生态恢复，并评估它们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.