Simulating historical variability in the amount of old forests in the Oregon Coast Range

We developed the landscape age-class demographics simulator (LADS) to model historical variability in the amount of old-growth and late-successional f orest in the Oregon Coast Range over the past 3,000 years. The model simula ted temporal and spatial patterns of forest fires along with the resulting fluctuations in the distribution of forest age classes across the landscape . Parameters describing historical fire regimes were derived from data from a number of existing dendroecological and paleoecological studies. Our res ults indicated that the historical age-class distribution was highly variab le and that variability increased with decreasing landscape size. Simulated old-growth percentages were generally between 25% and 75% at the province scale (2,250,000 ha) and never fell below 5%. In comparison, old-growth per centages varied from 0 to 100%, at the late-successional reserve scale (40, 000 ha). Province-scale estimates of current old-growth (5%) and late-succe ssional forest (11%) in the Oregon Coast Range were lower than expected und er the simulated historical fire regime, even when Potential errors irt our parameter estimates were considered. These uncertainties no, however, limi t our ability to Precisely define ranges of historical variability. Our res ults suggest that in areas where historical disturbance regimes were charac terized by large infrequent fires, management of forest age classes based o n a range of historical variability may be feasible only at relatively larg e spatial scales. Comprehensive landscape management strategies will need t o consider other factors besides the percentage of old forests on the lands cape, including the spatial pattern of stands and the rates and pathways of landscape change.