3-PG_NPP_MIROC5_rcp85_2090s_WUSA

3-PG (Physiological Principles for Predicting Growth) is a process model that employs a light-use-efficiency based photosynthesis algorithm to simulate the change in net primary production over forest succession.  Monthly weather data is used to constrain photosynthesis based on high daytime atmospheric vapor pressure deficit, subfreezing temperatures, suboptimal temperatures, and soil water deficits.  Here we ran the model using climate output from the MIROC5 rcp85 model scenario associated with the 5th IPCC Report.  The climate model data was downscaled to the 4 km resolution using the MACA (Multivariate Adapted Constructed Analogue) approach. A 3-PG model run (e.g. Coops et al. 2010) consists of a 50 year simulation of forest succession using a decade of climate data that is recycled five times. Thus we produced spatial output on the potential leaf area index of a 50 year old conifer forest for each decade from the 1950s to the 2090s. Results here are provisional and may be updated after publication.