Abstract

The basis for this study was that forest inventories, as well as other forestry activities, should be performed in such a way that a maximum present net value is attained. Consequently, both the inventory cost and the expected loss from erroneous decisions, caused by data errors, should be considered in the decision about which inventory designs should be used. Investigations of the optimal sampling intensities in stand level sample plot inventories were made under the assumptions of stumpage values being deterministic as well as stochastic. The methodology involved sampling simulation and simulation of stumpage value fluctuations. It was found that the optimal inventory intensities should be slightly lower in the stochastic case, the reason being that harvest decisions were largely influenced by the current stumpage values. The study, however, only addressed the problem of deciding the optimal point of time for clearcutting in cases when no harvest level restrictions over time were present.

Keywords

COST-PLUS-LOSS ANALYSIS; DYNAMIC PROGRAMMING; FOREST INVENTORY; OPTIMIZATION; SAMPLING SIMULATION

Published in

Scandinavian Journal of Forest Research
1994, Volume: 9, number: 4, pages: 405-412
Publisher: SCANDINAVIAN UNIVERSITY PRESS

SLU Authors

• Ståhl, Göran

  • Department of Biometry and Forest Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Publication Identifiers

DOI: https://doi.org/10.1080/02827589409382858

Permanent link to this page (URI)

https://res.slu.se/id/publ/41907