This document introduces a method for prioritizing commercial thinning in forests by integrating high-density drone laser scanning (DLS) data with tree-ring measurements. This research uses DLS to quantify individual tree growth and competition, spec...
This document introduces a method for prioritizing commercial thinning in forests by integrating high-density drone laser scanning (DLS) data with tree-ring measurements. This research uses DLS to quantify individual tree growth and competition, specifically identifying that crown volume is the strongest predictor of recent basal area growth. This innovative approach allows for the creation of detailed spatial maps, including a new "growth competition index," which can guide forest managers in optimizing thinning strategies across large areas, moving beyond traditional stand-level assessments to a more precise, intra-stand management. The study emphasizes how this technology provides timely, fine-scale information to enhance the efficiency and effectiveness of silvicultural practices, particularly commercial thinning.
