Timber Harvesting Economics in Early Commercial Thinning and Group Selection Prescriptions

Author:

Alex Ashish1,Kizha Anil Raj1,George Alex K.2,Louis Libin T.3,Bolding M. Chad4,Bick Steven5,Rogers Nicole S.1

Affiliation:

1. University of Maine, School of Forest Resources

2. Paul Smith's College

3. University of Maine at Fort Kent, Natural Science Unit

4. University of Georgia, Warnell School of Forestry and Natural Resources

5. Northeast Forests, LLC

Abstract

Forest management decisions that consider both short- and long-term objectives are becoming more challenging and costly, due to market uncertainty, labor shortages, and the evolving forest industry. Under such unpredictable circumstances, a better understanding of the production economics of various silvicultural prescriptions is crucial in implementing sound forest management activities. The objectives of this study were to: a) estimate stump to landing productivity and cost for Early Commercial Thinning (ECT) and Group Selection (GS) prescriptions; and b) compare the harvest system cost ($/PMH) using machine rate and PATH (Planning and Analysis in Timber Harvesting) methods. Detailed time-motion studies were conducted in the spruce-fir forest of Northern Maine, USA, during the summer of 2019. The results, as expected, indicated the harvesting costs were 23% higher for ECT (21.08 $/m3) compared to GS (16.32 $/m3). The average productivity of the harvester and forwarder were reduced by 15 and 37%, respectively, for ECT compared to GS. The estimated harvesting system cost ($/PMH) was 4% higher as indicated by PATH compared to machine rate method. Higher operational productivity in GS can be attributed to the larger volume of logs, and shorter travel loaded distance than ECT. These findings can help forest managers make more informed decisions while implementing appropriate silvicultural prescriptions under varying conditions based on management objectives and market conditions.

Publisher

University of Zagreb, Faculty of Forestry and Wood Technology

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