Bioinformatics Starter Grant: Species-Specific Traits Controlling Forest and Woodland Dynamics Revealed by Bayesian Melding of Diverse Data and Process Models

怀俄明大学获得了一笔资助，用于资助Kiona Ogle博士开发一种建模和缩放框架，将个体和物种层面的生理和结构特征与社区和生态系统层面联系起来。本研究将树木生长和冠层相互作用的过程模型与经验数据集相结合。该项目以博士后奖学金期间完成的工作为基础，通过实施分层贝叶斯融合方法，将基于过程的单株树木生长模型与实地观测数据相结合。然后，这种方法将适用于水资源有限的林地生态系统的新情况。

The University of Wyoming is awarded a grant to supplement startup research funds for Dr. Kiona Ogle to develop a modeling and scaling framework that links physiological and structural traits at the individual and species level to the community and ecosystem level. This work integrates process models of tree growth and canopy interactions with empirical datasets. The project builds on work completed under a postdoctoral fellowship by implementing a hierarchical Bayesian melding method to couple process-based models of individual tree growth with field observation data. This approach will then be applied to a new context of water-limited woodland ecosystems.