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Using BFOLDS to Characterize Fire Regimes
註釋Forest fires are the result of complex interactions of weather and vegetation and are highly probabilistic. Characterizing forest fire regimes, the synoptic properties of spatio-temporal variability of individual fires, is important for many forest and fire management purposes. BFOLDS 1.0 (Boreal Forest Landscape Dynamics Simulator) simulates forest fires and forest succession for large areas over long periods. Resulting fire regime simulations are emergent properties of many stochastic and spatially explicit model processes as well as user assumptions and input data. Here the authors demonstrate the use of BFOLDS in characterizing a forest fire regime, using a large boreal ecoregion as an example and readily available forest cover and spatial weather data as primary input.--Document.