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predictive models to quantify shrubification risk; and (iii) investigate the implications of shrubification for water markets and policy. Teaching & Engagement: Contribute to climate fluency and sustainability
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key
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, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects
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quality monitoring, drone surveys, digital twins and ecosystem service modelling to generate estimates of ecosystem functions and services provided by a living shoreline that is being constructed at Marine