A major component of sustainable forest management are the stands left behind after the logging operation. Large mechanized harvesting equipment involved in current forest management can inflict damage on residual trees; and can pose a risk of mortality from diseases, natural calamities, and/or degrade future economic value. The primary objective of this study was to evaluate the residual stand damage under different harvesting methods and silvicultural prescriptions i.e., crop tree release (CTR), diameter limit cut (DLC), and overstory removal (OSR). The second objective was to evaluate the intensity and frequency of damage occurring on the bole, canopy, and root at tree and stand level. The third objective was to document strategies adopted globally to minimize stand damage due to timber harvesting. Five harvest blocks implementing three silvicultural prescriptions, were selected as the treatments across two different industrial timberlands in central and northern Maine (Study Site (SS) I and II, respectively). A hybrid cut-to-length (Hyb CTL) and whole-tree (WT) harvesting method were employed for conducting the harvest in SS I and II, respectively. Systematic transect sampling was employed to collect information on type, frequency, and intensity of damages. The inventory captured 41 and 8 damaged trees per hectare with 62 and 22 damages per hectare from SS I and SS II respectively. Bole damage was the most frequent damage across all treatments. The Hyb CTL had lower damage density (damage per ha) and severity compared to WT. The average number of trees damaged per ha was higher for CTR prescriptions compared to DLC. There were no significant differences in the height of the damages from the ground level between treatments within each study site; however, there was a significant difference between the study sites. Species damaged was directly related to the residual trees left behind and was dominated by American beech, yellow birch, sugar maple, and eastern hemlock. Finally, the study provides strategies that can be adopted at different forest managerial phases to mitigate residual stand damage.

Agricultural biomass waste, like banana peduncle (BP), is gaining attention as a sustainable alternative to non-renewable resources. This study combines scientometric and systematic analyses (2014–2024) to assess BP fibre valorization trends. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses, 2020) guidelines, a comprehensive literature search identified 264 research reports through databases (Scopus and Web of Science). These were screened via Rayyan software and inclusion and exclusion criteria, resulting in 127 records for scientometric analysis via VOSviewer software. Among these, 112 reports were analysed to evaluate product properties, processing techniques, and potential applications. The results indicate that India is the leading contributor (35%), followed by Ecuador (11%), in BP fibre valorization research, with strong collaborations with Germany. India’s leadership is attributed to its abundant banana waste and research infrastructure. Research spans Energy and Materials Science, highlighting the potential of BP fibres as a sustainable resource for biofuels, composites, biochar, and advanced biomaterials. Recent trends have focused on bioenergy, bioactive compounds, and nanocellulose production. However, industrial-scale feasibility, production-consumption optimisation, and environmental impact studies remain gaps. This study underscores the need for continued efforts to realise the full potential of BP as a sustainable and versatile material. Graphical 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.

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.