Regeneration imputation models and analysis for forests in Minnesota.

Abstract

Tabular imputation models were developed and tested to estimate post-harvest forest stand characteristics in Minnesota. The models were based on a sorting of statewide inventory plot data into sets of tables containing estimates of number of trees and basal area per acre by covertype, diameter classes, and species for young post-harvest stands. The primary bases for sorting within the sets of tables were stand age input data to existing growth and yield models. Analysis of these tables indicated that basal area increased rapidly for young stands and then began to level off as stand ages approached 20 years; furthermore, the variability within the tables decreased as forest stands matured. Implications for alternative methods of implementing the models are also discussed.