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

[0104728 . Acevedo]这项为期两年的研究支持美国和西班牙合作研究，利用产品成像技术研究干扰后草地和灌木植被恢复的模型，研究人员包括北德克萨斯大学的Miguel Acevedo和西班牙阿利ante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。这位美国研究者为这次合作带来了他在建模和空间分析方面的经验。西班牙调查人员在人口和群落动态建模方面的专业知识，以及他的热带草生长和干扰事件后草/灌木恢复动态数据集，补充了这一点。本研究的结果将有助于了解蔬菜在土壤中的动态变化，有助于土壤的保护和生态恢复，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.