Poster Title	Toward better predictions of vegetation dynamics under water stress in ACME
Authors	chonggang xu (Unlicensed), Bradley Christoffersen, Wei Liang, Daniel Johnson, Devin Goodsman, Minzi Wang, Sanna Sevanto, Ryan Knox, Nate McDowell, Charles Koven (Unlicensed)
Group	Land
Experiment	Water Cycle, BGC
Poster Category	Early Result
Submission Type	Poster
Poster Link

Abstract

Water is a key regulator of vegetation growth and mortality. Currently, the impact of water stress on growth and mortality in ACME are simulated based on simple empirical adjusting factors, which may fail under future novel climate conditions. In this study, we developed more process-based representations of water limitation functions, mortality, and insects toward better predictions of vegetation dynamics. To test these models, we have also compiled sap fluxes and leave water potential observations, drought-induced tree mortality from forest inventory and insect productivity for model evaluations. We showed promising impact of incorporating these process-level representations at the site level. In the next step, we will test these models at the regional and global scales. We expect that these process-based model, parameterized and benchmarked at the global scales, can make robust predictions of future vegetation dynamics under water stress.

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