Parametric Sensitivity of Vegetation Dynamics in the TRIFFID Model and the Associated Uncertainty in Projected Climate Change Impacts on Western U.S. Forests

Parametric Sensitivity of Vegetation Dynamics in the TRIFFID Model and the Associated Uncertainty in Projected Climate Change Impacts on Western U.S. Forests

Abstract Changing climate conditions impact ecosystem dynamics and have local to global impacts on water and carbon cycles. Many processes in dynamic vegetation models (DVMs) are parameterized, and the unknown/unknowable parameter values introduce uncertainty that has rarely been quantified in proje...

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Bibliographic Details
Main Authors: Linnia R. Hawkins, David E. Rupp, Doug J. McNeall, Sihan Li, Richard A. Betts, Philip W. Mote, Sarah N. Sparrow, David C. H. Wallom
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-08-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
vegetation transitions
parameter uncertainty
sensitivity analysis
dynamic global vegetation models
statistical emulator
carbon allocation
Online Access:https://doi.org/10.1029/2018MS001577

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