Extended biomass allometric equations for large mangrove trees from terrestrial LiDAR data

摘要: Accurately determining biomass of large trees is crucial for reliable analyses in most tropical forests, but allometric models calibration are deficient data. This issue a major concern high-biomass mangrove especially when their role the ecosystem carbon storage considered. As an alternative to fastidious cutting and weighing measurement approach, we explored non-destructive terrestrial laser scanning approach estimate aboveground mangroves (diameters reaching up 125 cm). Because buttresses trees, propose pixel-based analysis composite 2D flattened images, obtained from successive thin segments stem point-cloud data wood volume. Branches were considered as best-fitted primitive conical frustums. The product volume height-decreasing density yielded estimates. was tested on 36 A. germinans French Guiana, considering available same region references. Our estimates reached ca. 90% accuracy correlation 0.99 with reference values. Based results, new tree model, which had R² RSE 87.6 kg dry matter. LiDAR-based allows be tractable, opens opportunities improve tall mangroves. method could also applied other species.