Development and testing of regeneration imputation models for forests in Minnesota

Alan R. Ek, Andrew P. Robinson, Philip J. Radtke, David K. Walters

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Tabular imputation models were developed and tested to estimate postharvest 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 hectare by covertype, species, and diameter class for young postharvest stands. The primary bases for sorting within the sets of tables were stand age following harvest, and site index. The output tables were organized to facilitate their use as young stand 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.

Original languageEnglish (US)
Pages (from-to)129-140
Number of pages12
JournalForest Ecology and Management
Volume94
Issue number1-3
DOIs
StatePublished - Jun 30 1997

Keywords

  • Forest inventory
  • Harvesting
  • Simulation
  • Species diversity
  • Stratification
  • Tabular models

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