Terrestrial laser scanning for non-destructive estimates of liana stem biomass

编号 030022301

推送时间 20200127

研究领域 森林经理 

年份 2020 

类型 期刊 

语种 英语

标题 Terrestrial laser scanning for non-destructive estimates of liana stem biomass

来源期刊 FOREST ECOLOGY AND MANAGEMENT

期 第223期

发表时间 20191119

关键词 Liana biomass;  Quantitative structure models;  Terrestrial laser scanning;  Total forest biomass;  Tropical forests; 

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.

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