LAUSR

Coarse woody debris (CWD) is a meaningful contributor to forest carbon cycles, wildlife habitat, and biodiversity and can influence wildfire behavior. Using airborne laser scanning (ALS), we map CWD across a range of natural forest stand types in north-central British Columbia, Canada, providing forest managers with spatially detailed information on the presence and volume of ground-level woody biomass. We describe a novel methodology that isolates CWD returns from large diameter logs (>30cm) using a refined grounding algorithm, a mixture of height and pulse-based filters and linear pattern recognition, to transform ALS returns into measurable, vectorized shapes. We then assess the accuracy of CWD detection at the individual log level and predict CWD volume at the plot level. We detected 64% of CWD logs and 79% of CWD volume within our plots. Increased elevation of CWD significantly aided detection (P = 0.04), whereas advanced stages of decay hindered detection (P = 0.04). ALS-predicted CWD volume totals were compared against field-measured CWD and displayed a strong correlation (R = 0.81), allowing us to expand the methodology to map CWD over a larger region. The expanded CWD volume map compared ALS volume predictions between stands and suggests greater volume in stands with older and more heterogeneous stand structure. A methodology is presented to extract returns associated with large diameter coarse woody debris (CWD) directly from an ALS point cloud. These returns are transformed into measurable shapes and their volume estimated based on the height of the returns. The procedure is implemented over a large forested area to produce a map of local CWD volume. Production of these maps can be used to generate inventory of CWD over a range of natural forest stands to support a more well-rounded understanding of carbon levels associated with downed trees, wildlife habitat attributes, and fuel loading in the terrestrial biosphere.