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    Author(s): Philip J. Radtke; Nathan D. Herring; David L. Loftis; Chad E. Keyser
    Date: 2012
    Source: Southern Journal of Applied Forestry 36(2):61-70
    Publication Series: Scientific Journal (JRNL)
    Station: Southern Research Station
    PDF: Download Publication  (466.35 KB)


    Prediction accuracy for projected basal area and trees per acre was assessed for the growth and yield model of the Forest Vegetation Simulator Southern Variant (FVS-Sn). Data for comparison with FVS-Sn predictions were compiled from a collection of n  1,780 permanent inventory plots from mixed-species upland hardwood forests in the Southern Appalachian Mountains. Over a 5-year projection interval, baseline FVS-Sn predictions fell within 15% of observed values in over 88% of the test plots. Several modifications to FVS-Sn were pursued, including a refitting of the background mortality equation by logistic regression. Following the modifications, FVS-Sn accuracy statistics increased to 91 and 94% for basal area and trees per acre, respectively. In plots with high initial stand densities, notable gains in accuracy were achieved by relaxing thresholds that activated a density-dependent mortality algorithm in FVS-Sn. Detailed accuracy results for forest types of the region were generated. Twenty-five-year projection results show size-density trajectories consistent with the concept of maximum stand density index.

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    Radtke, Philip J.; Herring, Nathan D.; Loftis, David L.; Keyser, Chad E. 2012. Evaluating Forest Vegetation Simulator predictions for southern Appalachian upland hardwoods with a modified mortality model. Southern Journal of Applied Forestry 36(2):61-70.


    Forest Inventory and Analysis (FIA), uncertainty assessment, model testing, validation, calibration

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