气候变化领域集成服务门户(CCPortal): Terrestrial laser scanning for non-destructive estimates of liana stem biomass

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DOI	10.1016/j.foreco.2019.117751
	Terrestrial laser scanning for non-destructive estimates of liana stem biomass
	Krishna Moorthy S.M.; Raumonen P.; Van den Bulcke J.; Calders K.; Verbeeck H.
发表日期	2020
ISSN	0378-1127
卷号	456
英文摘要	Lianas are important and yet understudied components of tropical forests. Recent studies have shown that lianas are increasing in abundance and biomass in neotropical forests. However, aboveground biomass estimates of lianas are highly uncertain when calculated from allometric relations. This is mainly because of the limited sample size, especially for large lianas, used to construct the allometric models. Furthermore, the allometry of lianas can be weakly constrained mechanically throughout its development from sapling to mature form. In this study, we propose to extract liana stem biomass from terrestrial laser scanning (TLS) data of tropical forests. We show good agreement with a concordance correlation coefficient (CCC) of 0.94 between the TLS-derived volume to reference volume from eleven synthetic lianas. We also compare the TLS-derived biomass for ten real lianas in Nouragues, French Guiana, with the biomass derived from all existing allometric equations for lianas. Our results show relatively low CCC values for all the allometric models with the most commonly used pantropical model overestimating the total biomass by up to 133% compared to the TLS-derived biomass. Our study not only facilitates the testing of allometric equations but also enables non-destructive estimation of liana stem biomass. Since lianas are disturbance-adapted plants, liana abundance is likely to increase with increased forest disturbance. Our method will facilitate the long-term monitoring of liana biomass change in regenerating forests after disturbance, which is critical for developing effective forest management strategies. © 2019 The Authors
英文关键词	Liana biomass; Quantitative structure models; Terrestrial laser scanning; Total forest biomass; Tropical forests
语种	英语
scopus关键词	Biology; Biomass; Laser applications; Reforestation; Scanning; Seebeck effect; Steel beams and girders; Tropics; Allometric equations; Correlation coefficient; Forest biomass; Long term monitoring; Management strategies; Quantitative structures; Terrestrial laser scanning; Tropical forest; Surveying instruments; aboveground biomass; allometry; biomass; correlation; forest management; laser method; monitoring system; quantitative analysis; sapling; Biology; Biomass; Equations; Estimates; Forests; Reforestation; Scanning; Tropics; French Guiana; Nouragues
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155608
作者单位	CAVElab – Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, 9000, Belgium; Smithsonian Tropical Research Institute, Apartado, Balboa, Ancon, 0843-03092, Panama; Mathematics, Tampere University, FI-33101 Tampere, Finland; UGCT-UGent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Ghent, 9000, Belgium
推荐引用方式 GB/T 7714	Krishna Moorthy S.M.,Raumonen P.,Van den Bulcke J.,et al. Terrestrial laser scanning for non-destructive estimates of liana stem biomass[J],2020,456.
APA	Krishna Moorthy S.M.,Raumonen P.,Van den Bulcke J.,Calders K.,&Verbeeck H..(2020).Terrestrial laser scanning for non-destructive estimates of liana stem biomass.Forest Ecology and Management,456.
MLA	Krishna Moorthy S.M.,et al."Terrestrial laser scanning for non-destructive estimates of liana stem biomass".Forest Ecology and Management 456(2020).