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To evaluate the effects of spatial variation in climate and soils on forest productivity across broad regions requires an approach that can be widely applied and tested. Detailed physiological and micro-meteorological studies have recently lead to new insights that greatly simplify the prediction of above-ground net primary production (NPP), a variable closely related to conventional measures of forest growth, such as Mean Annual Increment (MAI) of stemwood. We applied these simplifications in a monthly time-step model driven by estimates of the fraction of light intercepted by green canopies, derived from near-infrared and red reflectances monitored from National Oceanographic and Atmospheric Administration (NOAA) weather satellites, and from equations utilising local temperature and rainfall records. Absorbed photosynthetically active radiation (APAR) was estimated from global solar radiation, derived from an …