Forests, Volume 9, Issue 12
2018 December - 56 articles
Cover Story: The provision of enhanced operational intelligence arising from in-forest forecasts of end-product potential through non-destructive acoustic-based methods may yield increased efficiencies within the upper portion of the forest products supply chain. Accordingly, this study developed a suite of acoustic-based models for predicting commercially-relevant fiber attributes that largely govern the end-product potential of jack pine logs: dynamic modulus of elasticity, wood density, microfibril angle, tracheid wall thickness, fiber coarseness, and specific surface area. Resultantly, enabling enhanced segregation decision-making and solidifying the empirical foundation of the acoustic-based inferential framework proposed for boreal conifers. The photo exemplifies in-forest acoustic sampling of jack pine logs deploying a resonance-based tool within the Canadian boreal forest. View Paper here. - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.