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Abstract
Forest conservation and management plans, decisions, and policy analyses are commonly developed and reported using the Forest Vegetation Simulator (FVS) software without substantial investment or attention to ensuring FVS is well-calibrated or unbiased for the decision(s) at hand. The emergence of repeated measurements from plots across the Forest Inventory & Analysis (FIA) network of the United States provides a unique opportunity for ensuring predictions of forest conditions and dynamics are grounded in software that is calibrated frequently against the best available contemporary data, particularly given broad and diverse interests in learning as quickly as possible about the effects of our changing climate on forest growth, mortality, disturbance, and regeneration.
Parent Publication
Keywords
forest management,
forest planning,
growth and yield,
vegetation dynamics,
habitat modeling,
carbon inventory,
landscape dynamics,
fire,
fuels,
climate change,
economics,
tree-rings
Citation
Diaz, David D.; Ettl, Gregory J. 2024. A reproducible workflow to refit FVS using the FIA Data Stream. In: Shaw, John D; Battaglia, Mike A.; Castle, Mark, [comps.]. Sixth Forest Vegetation Simulator Conference; 2023 March 7-9; Fort Collins, CO. Proceedings RMRS-P-81. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 75-77.
