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Open AccessArticle

Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure

1
CAVElab—Computational and Applied Vegetation Ecology, Ghent University, 9000 Ghent, Belgium
2
Smithsonian Tropical Research Institute, Balboa Ancon, Apartado 0843-03092, Panama
3
Department of Biological Sciences, Marquette University, Milwaukee, WI 53201-1881, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 810; https://doi.org/10.3390/rs10060810
Received: 22 March 2018 / Revised: 7 May 2018 / Accepted: 17 May 2018 / Published: 23 May 2018
(This article belongs to the Special Issue Remote Sensing to Assess Canopy Structure and Function)
Tropical forests are currently experiencing large-scale structural changes, including an increase in liana abundance and biomass. Higher liana abundance results in reduced tree growth and increased tree mortality, possibly playing an important role in the global carbon cycle. Despite the large amount of data currently available on lianas, there are not many quantitative studies on the influence of lianas on the vertical structure of the forest. We study the potential of terrestrial laser scanning (TLS) in detecting and quantifying changes in forest structure after liana cutting using a small scale removal experiment in two plots (removal plot and non-manipulated control plot) in a secondary forest in Panama. We assess the structural changes by comparing the vertical plant profiles and Canopy Height Models (CHMs) between pre-cut and post-cut scans in the removal plot. We show that TLS is able to detect the local structural changes in all the vertical strata of the plot caused by liana removal. Our study demonstrates the reproducibility of the TLS derived metrics for the same location confirming the applicability of TLS for continuous monitoring of liana removal plots to study the long-term impacts of lianas on forest structure. We therefore recommend to use TLS when implementing new large scale liana removal experiments, as the impact of lianas on forest structure will determine the aboveground competition for light between trees and lianas, which has important implications for the global carbon cycle. View Full-Text
Keywords: lianas; TLS; long-term monitoring; tropical forests; aboveground competition; global carbon cycle lianas; TLS; long-term monitoring; tropical forests; aboveground competition; global carbon cycle
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MDPI and ACS Style

Krishna Moorthy, S.M.; Calders, K.; Di Porcia e Brugnera, M.; Schnitzer, S.A.; Verbeeck, H. Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure. Remote Sens. 2018, 10, 810.

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