Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

树木异速生长 异速滴定 胸径 采样(信号处理) 生物量(生态学) 树(集合论) 森林资源清查 天蓬 数学 统计 一致相关系数 环境科学 生态学 生物 物理 森林经营 光学 数学分析 生物量分配 探测器
作者
Kim Calders,Glenn Newnham,Andrew Burt,Simon Murphy,Pasi Raumonen,Martin Herold,Darius Culvenor,Valerio Avitabile,Mathias Disney,John Armston,M. Kaasalainen
出处
期刊:Methods in Ecology and Evolution [Wiley]
卷期号:6 (2): 198-208 被引量:609
标识
DOI:10.1111/2041-210x.12301
摘要

Summary Allometric equations are currently used to estimate above‐ground biomass (AGB) based on the indirect relationship with tree parameters. Terrestrial laser scanning (TLS) can measure the canopy structure in 3D with high detail. In this study, we develop an approach to estimate AGB from TLS data, which does not need any prior information about allometry. We compare these estimates against destructively harvested AGB estimates and AGB derived from allometric equations. We also evaluate tree parameters, diameter at breast height (DBH) and tree height, estimated from traditional field inventory and TLS data. Tree height, DBH and AGB data are collected through traditional forest inventory, TLS and destructive sampling of 65 trees in a native Eucalypt Open Forest in Victoria, Australia. Single trees are extracted from the TLS data and quantitative structure models are used to estimate the tree volume directly from the point cloud data. AGB is inferred from these volumes and basic density information and is then compared with the estimates derived from allometric equations and destructive sampling. AGB estimates derived from TLS show a high agreement with the reference values from destructive sampling, with a concordance correlation coefficient (CCC) of 0·98. The agreement between AGB estimates from allometric equations and the reference is lower (CCC = 0·68–0·78). Our TLS approach shows a total AGB overestimation of 9·68% compared to an underestimation of 36·57–29·85% for the allometric equations. The error for AGB estimates using allometric equations increases exponentially with increasing DBH, whereas the error for AGB estimates from TLS is not dependent on DBH. The TLS method does not rely on indirect relationships with tree parameters or calibration data and shows better agreement with the reference data compared to estimates from allometric equations. Using 3D data also enables us to look at the height distributions of AGB, and we demonstrate that 80% of the AGB at plot level is located in the lower 60% of the trees for a Eucalypt Open Forest. This method can be applied in many forest types and can assist in the calibration and validation of broad‐scale biomass maps.
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