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

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Abstract
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.
Keywords
Forestry, Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Liana biomass, Quantitative structure models, Terrestrial laser scanning, Total forest biomass, Tropical forests, BARRO-COLORADO-ISLAND, ABOVEGROUND BIOMASS, TROPICAL FOREST, TREE REGENERATION, ABUNDANCE, IMPACT, DISTURBANCE, DIVERSITY, EQUATIONS, DIAMETER

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Citation

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MLA
Krishna Moorthy Parvathi, Sruthi, et al. “Terrestrial Laser Scanning for Non-Destructive Estimates of Liana Stem Biomass.” FOREST ECOLOGY AND MANAGEMENT, vol. 456, 2020.
APA
Krishna Moorthy Parvathi, S., 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.
Chicago author-date
Krishna Moorthy Parvathi, Sruthi, Pasi Raumonen, Jan Van den Bulcke, Kim Calders, and Hans Verbeeck. 2020. “Terrestrial Laser Scanning for Non-Destructive Estimates of Liana Stem Biomass.” FOREST ECOLOGY AND MANAGEMENT 456.
Chicago author-date (all authors)
Krishna Moorthy Parvathi, Sruthi, Pasi Raumonen, Jan Van den Bulcke, Kim Calders, and Hans Verbeeck. 2020. “Terrestrial Laser Scanning for Non-Destructive Estimates of Liana Stem Biomass.” FOREST ECOLOGY AND MANAGEMENT 456.
Vancouver
1.
Krishna Moorthy Parvathi S, Raumonen P, Van den Bulcke J, Calders K, Verbeeck H. Terrestrial laser scanning for non-destructive estimates of liana stem biomass. FOREST ECOLOGY AND MANAGEMENT. 2020;456.
IEEE
[1]
S. Krishna Moorthy Parvathi, P. Raumonen, J. Van den Bulcke, K. Calders, and H. Verbeeck, “Terrestrial laser scanning for non-destructive estimates of liana stem biomass,” FOREST ECOLOGY AND MANAGEMENT, vol. 456, 2020.
@article{8635542,
  abstract     = {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.},
  articleno    = {117751},
  author       = {Krishna Moorthy Parvathi, Sruthi and Raumonen, Pasi and Van den Bulcke, Jan and Calders, Kim and Verbeeck, Hans},
  issn         = {0378-1127},
  journal      = {FOREST ECOLOGY AND MANAGEMENT},
  keywords     = {Forestry,Management,Monitoring,Policy and Law,Nature and Landscape Conservation,Liana biomass,Quantitative structure models,Terrestrial laser scanning,Total forest biomass,Tropical forests,BARRO-COLORADO-ISLAND,ABOVEGROUND BIOMASS,TROPICAL FOREST,TREE REGENERATION,ABUNDANCE,IMPACT,DISTURBANCE,DIVERSITY,EQUATIONS,DIAMETER},
  language     = {eng},
  pages        = {14},
  title        = {Terrestrial laser scanning for non-destructive estimates of liana stem biomass},
  url          = {http://dx.doi.org/10.1016/j.foreco.2019.117751},
  volume       = {456},
  year         = {2020},
}

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