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Article

ALS as Tool to Study Preferred Stem Inclination Directions

by
Sebastian Lamprecht
*,
Johannes Stoffels
and
Thomas Udelhoven
Remote Sensing & Geoinformatics Department, Trier University, 54286 Trier, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(22), 3744; https://doi.org/10.3390/rs12223744
Submission received: 17 October 2020 / Revised: 6 November 2020 / Accepted: 9 November 2020 / Published: 13 November 2020
(This article belongs to the Special Issue 3D Point Clouds in Forest Remote Sensing)

Abstract

Although gravitropism forces trees to grow vertically, stems have shown to prefer specific orientations. Apart from wind deforming the tree shape, lateral light can result in prevailing inclination directions. In recent years a species dependent interaction between gravitropism and phototropism, resulting in trunks leaning down-slope, has been confirmed, but a terrestrial investigation of such factors is limited to small scale surveys. ALS offers the opportunity to investigate trees remotely. This study shall clarify whether ALS detected tree trunks can be used to identify prevailing trunk inclinations. In particular, the effect of topography, wind, soil properties and scan direction are investigated empirically using linear regression models. 299.000 significantly inclined stems were investigated. Species-specific prevailing trunk orientations could be observed. About 58% of the inclination and 19% of the orientation could be explained by the linear models, while the tree species, tree height, aspect and slope could be identified as significant factors. The models indicate that deciduous trees tend to lean down-slope, while conifers tend to lean leeward. This study has shown that ALS is suitable to investigate the trunk orientation on larger scales. It provides empirical evidence for the effect of phototropism and wind on the trunk orientation.
Keywords: LiDAR; ALS; stem detection; tree inclination; phototropism; gravitropism; wind distortion LiDAR; ALS; stem detection; tree inclination; phototropism; gravitropism; wind distortion
Graphical Abstract

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MDPI and ACS Style

Lamprecht, S.; Stoffels, J.; Udelhoven, T. ALS as Tool to Study Preferred Stem Inclination Directions. Remote Sens. 2020, 12, 3744. https://doi.org/10.3390/rs12223744

AMA Style

Lamprecht S, Stoffels J, Udelhoven T. ALS as Tool to Study Preferred Stem Inclination Directions. Remote Sensing. 2020; 12(22):3744. https://doi.org/10.3390/rs12223744

Chicago/Turabian Style

Lamprecht, Sebastian, Johannes Stoffels, and Thomas Udelhoven. 2020. "ALS as Tool to Study Preferred Stem Inclination Directions" Remote Sensing 12, no. 22: 3744. https://doi.org/10.3390/rs12223744

APA Style

Lamprecht, S., Stoffels, J., & Udelhoven, T. (2020). ALS as Tool to Study Preferred Stem Inclination Directions. Remote Sensing, 12(22), 3744. https://doi.org/10.3390/rs12223744

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