Climate Change Data Portal
| 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 |
| 关键词 | BiologyBiomassLaser applicationsReforestationScanningSeebeck effectSteel beams and girdersTropicsAllometric equationsCorrelation coefficientForest biomassLong term monitoringManagement strategiesQuantitative structuresTerrestrial laser scanningTropical forestSurveying instrumentsaboveground biomassallometrybiomasscorrelationforest managementlaser methodmonitoring systemquantitative analysissaplingBiologyBiomassEquationsEstimatesForestsReforestationScanningTropicsFrench GuianaNouragues |
| 语种 | 英语 |
| 来源机构 | Forest Ecology and Management |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/133144 |
| 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]. Forest Ecology and Management,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.,456. |
| MLA | Krishna Moorthy S.M.,et al."Terrestrial laser scanning for non-destructive estimates of liana stem biomass".456(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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