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.

As the global climate change mitigation efforts urge the transition towards a green economy, comprehending the carbon footprint of forest industry supply chain is crucial to ensure sustainable management and utilization of renewable resources. This research quantified the carbon footprint of four different forest product industries: chip mill, hardwood sawmill, softwood sawmill, and in-woods chipping in the Northeastern U.S. Additionally, the impact of transportation (road and rail) on carbon footprint was analyzed. Life cycle assessment (LCA) was performed using SimaPro 9.3.0.3 software and allied databases (USLCI and US-EI). The functional unit was 1 tonne for chip mill (wood chips) and 1 m³ for sawmill (planks). The highest-contributing inputs for the chip mill and softwood sawmill were transportation. However, in-woods chipping and the hardwood sawmill had raw materials, residual wood, and round wood as the highest-contributing input. The study also enumerated the substances that contributed most to environmental impacts. The carbon footprint of chip mill, in-woods chipping, hardwood, and softwood sawmill were 49.5, 21.7, 72.9, and 73.7 kg CO₂ eq per respective functional units, respectively. The results could assist the forest industry in promoting wood feedstock with a minimal carbon footprint and have educated engagement in an ever-evolving carbon market.