Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2019.02.019 |
Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling | |
Lau, Alvaro1,2; Martius, Christopher2; Bartholomeus, Harm1; Shenkin, Alexander3; Jackson, Tobias3; Malhi, Yadvinder3; Herold, Martin1; Bentley, Lisa Patrick4 | |
2019-05-01 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2019 |
卷号 | 439页码:132-145 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Indonesia; England; USA |
英文摘要 | The geometric structure of tree branches has been hypothesized to relate to the mechanical safety and efficiency of resource transport within a tree. As such, the topology of tree architecture links physical properties within a tree and influences the interaction of the tree with its environment. Prior work suggests the existence of general principles which govern tree architectural patterns across of species and bio-geographical regions. In particular, West, Brown and Enquist (WBE, 1997) and Savage et al. (2010) derive scaling exponents (branch radius scaling ratio alpha and branch length scaling ratio beta) from symmetrical branch parameters and from these, an architecture-based metabolic scaling rate (theta) for the whole tree. With this key scaling exponent, the metabolism (e.g., number of leaves, respiration, etc.) of a whole tree, or potentially a group of trees, can be estimated allometrically. Until now, branch parameter values have been measured manually; either from standing live trees or from harvested trees. Such measurements are time consuming, labour intensive and susceptible to subjective errors. Remote sensing, and specifically terrestrial LiDAR (TLS), is a promising alternative, being objective, scalable, and able to collect large quantities of data without destructive sampling. In this paper, we calculated branch length, branch radius, and architecture-based metabolic rate scaling exponents by first using MS to scan standing trees and then fitting quantitative structure models (TreeQSM) models to 3D point clouds from nine trees in a tropical forest in Guyana. To validate these TLS-derived scaling exponents, we compared them with exponents calculated from direct field measurements of all branches > 10 cm at four scales: branch-level, cumulative branch order, tree-level and plot-level. We found a bias on the estimations of alpha and beta exponents due to a bias on the reconstruction of the branching architecture. Although TreeQSM scaling exponents predicted similar theta as the manually measured exponents, this was due to the combination of alpha and beta scaling exponents which were both biased. Also, the manually measured alpha and beta scaling exponents diverged from the WBE's theoretical exponents suggesting that trees in tropical environments might not follow the predictions for the symmetrical branching geometry proposed by WBE. Our study provides an alternative method to estimate scaling exponents at both the branch- and tree-level in tropical forest trees without the need for destructive sampling. Although this approach is based on a limited sample of nine trees in Guyana, it can be implemented for large-scale plant scaling assessments. These new data might improve our current understanding of metabolic scaling without harvesting trees. |
英文关键词 | Terrestrial LiDAR WBE plant scaling exponent Quantitative structure models Architecture-based metabolic rate Destructive harvesting |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000463129400012 |
WOS关键词 | SPECIES-LEVEL MODEL ; LASER-SCANNING DATA ; FOREST STRUCTURE ; GENERAL-MODEL ; BIOMASS ; SPACE ; TOOL |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182853 |
专题 | 气候变化 |
作者单位 | 1.Wageningen Univ, Lab Geoinformat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands; 2.Ctr Int Forestry Res CIFOR, POB 0113 BOCBD, Bogor 16000, Indonesia; 3.Univ Oxford, Environm Change Inst, Sch Geog & Environm, South Parks Rd, Oxford OX1 3QY, England; 4.Sonoma State Univ, Dept Biol, 1801 East Cotati Ave, Rohnert Pk, CA 94928 USA |
推荐引用方式 GB/T 7714 | Lau, Alvaro,Martius, Christopher,Bartholomeus, Harm,et al. Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling[J]. FOREST ECOLOGY AND MANAGEMENT,2019,439:132-145. |
APA | Lau, Alvaro.,Martius, Christopher.,Bartholomeus, Harm.,Shenkin, Alexander.,Jackson, Tobias.,...&Bentley, Lisa Patrick.(2019).Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling.FOREST ECOLOGY AND MANAGEMENT,439,132-145. |
MLA | Lau, Alvaro,et al."Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling".FOREST ECOLOGY AND MANAGEMENT 439(2019):132-145. |
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