This paper describes the development of four prediction models related to the variable retention (VR) approach to harvesting. These models were developed for managed coastal Douglas-fir, western hemlock, lodgepole pine, and white spruce stands for a variety of aggregated and dispersed VR scenarios. The models predict a VR volume adjustment factors for the retained trees (VRAFOS), and for the regeneration (VRAF). These adjustments are intended to capture the growth interactions between the retained and the regenerated trees as simulated by TASS after VR harvest. The models were incorporated into the FSSAM program to allow the yield prediction adjustments for both the retained and regenerated trees within stands, cutblocks, polygons, or timber supply analysis units.
Mario Di Lucca.
Lucca, Di, Mario, C.. 2006. Incorporating variable retention harvesting functionality into the Forest Service Spatial Analysis Model (FSSAM). Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report