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Treesearch

Development of carbon response trajectories using FIA plot data and FVS growth simulator: challenges of a large scale simulation project

Informally Refereed
Download (PDF 517 KB): https://research.fs.usda.gov/download/treesearch/50307.pdf

Abstract

The Forest Carbon Management Framework (ForCaMF) integrates Forest Inventory and Analysis (FIA) plot inventory data, disturbance histories, and carbon response trajectories to develop estimates of disturbance and management effects on carbon pools for the National Forest System. All appropriate FIA inventory plots are simulated using the Forest Vegetation Simulator (FVS) growth model to develop the carbon response trajectories for undisturbed, managed, and disturbance from fire, pests, and in some regions wind. The challenges presented by the number of plots, number of FVS variants, selection of localization variables, growth calibration, regeneration, and disturbance magnitude calibration will be presented. The carbon response curve fitting process will also be presented. These response curves developed by forest type, disturbance type, initial carbon bin, and disturbance magnitude are then used in a stochastic simulation process that combines the annual disturbance maps over a 20 year period to determine a forest by forest realization of carbon changes at the forest level in response to observed disturbance patterns. The resulting response curves can also be used to develop estimates of potential carbon response under alternative management or disturbance scenarios.

Parent Publication

Citation

McCarter, James B.; Healey, Sean. 2015. Development of carbon response trajectories using FIA plot data and FVS growth simulator: challenges of a large scale simulation project. In: Stanton, Sharon M.; Christensen, Glenn A., comps. 2015. Pushing boundaries: new directions in inventory techniques and applications: Forest Inventory and Analysis (FIA) symposium 2015. 2015 December 8–10; Portland, Oregon. Gen. Tech. Rep. PNW-GTR-931. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station: 141-146.