•We developed a red spruce habitat model (ARIM.HAB) in the Great Smoky Mountains.•ARIM.HAB was coupled with a temporal tree growth simulation model (ARIM.SIM).•ARIM.HAB well projected the range and habitat suitability of red spruce.•ARIM.HAB explained habitat-specific mechanisms underlying projections.•The coupling approach improved accuracy in projecting habitat suitability. Red spruce (Picea rubens Sargent) has exhibited widespread growth decline and high mortality for the last half century in the eastern United States. Good prediction of this species’ distribution in relation to environmental conditions is critical for effective management. This study projects red spruce distribution in response to multiple causal mechanisms in the Great Smoky Mountains National Park (GSMNP) of the Southern Appalachian Mountains by coupling a temporal simulation model of tree growth (ARIM.SIM) to a species distribution model (ARIM.HAB). ARIM.HAB computed habitat suitability, estimated from ARIM.SIM-generated red spruce growth, for every spatial 30m grid cell in GSMNP. ARIM.SIM showed that different factors were responsible for habitat suitability and growth at higher vs. lower elevations. The air pollution variables (acid rain and cloud immersion frequency) caused low habitat suitability at higher elevations (1800–2028m). Reduced air pollution but greater stress from climatic variables (high temperatures, reduced precipitation) caused medium suitability at lower elevations (1400–1600m). And less stress from air pollution and climate variables combined with ample water to produce highest suitability at intermediate elevations (1600–1800m). The projected range was verified with an existing geospatial database for red spruce and showed excellent correspondence with present-day distribution (AUC=0.99, kappa=0.87 and TSS=0.88). This research shows that species distribution models coupled with a process-based temporal simulation models can improve the precision and accuracy of, respectively, habitat suitability and range projections for species at local scales.