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Weighing trees with lasers: advances, challenges and opportunities

Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equa...

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Autores principales: Disney, M. I., Boni Vicari, M., Burt, A., Calders, K., Lewis, S. L., Raumonen, P., Wilkes, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829188/
https://www.ncbi.nlm.nih.gov/pubmed/29503726
http://dx.doi.org/10.1098/rsfs.2017.0048
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author Disney, M. I.
Boni Vicari, M.
Burt, A.
Calders, K.
Lewis, S. L.
Raumonen, P.
Wilkes, P.
author_facet Disney, M. I.
Boni Vicari, M.
Burt, A.
Calders, K.
Lewis, S. L.
Raumonen, P.
Wilkes, P.
author_sort Disney, M. I.
collection PubMed
description Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equations (ASEs) that underpin all large-scale estimates of AGB. TLS provides extremely detailed non-destructive measurements of tree form independent of tree size and shape. We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of branch and trunk size, shape and distribution. These models can drastically improve estimates of AGB, provide new, improved large-scale ASEs, and deliver insights into a range of fundamental tree properties related to structure. Large quantities of detailed measurements of individual 3D tree structure also have the potential to open new and exciting avenues of research in areas where difficulties of measurement have until now prevented statistical approaches to detecting and understanding underlying patterns of scaling, form and function. We discuss these opportunities and some of the challenges that remain to be overcome to enable wider adoption of TLS methods.
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spelling pubmed-58291882018-03-02 Weighing trees with lasers: advances, challenges and opportunities Disney, M. I. Boni Vicari, M. Burt, A. Calders, K. Lewis, S. L. Raumonen, P. Wilkes, P. Interface Focus Articles Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equations (ASEs) that underpin all large-scale estimates of AGB. TLS provides extremely detailed non-destructive measurements of tree form independent of tree size and shape. We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of branch and trunk size, shape and distribution. These models can drastically improve estimates of AGB, provide new, improved large-scale ASEs, and deliver insights into a range of fundamental tree properties related to structure. Large quantities of detailed measurements of individual 3D tree structure also have the potential to open new and exciting avenues of research in areas where difficulties of measurement have until now prevented statistical approaches to detecting and understanding underlying patterns of scaling, form and function. We discuss these opportunities and some of the challenges that remain to be overcome to enable wider adoption of TLS methods. The Royal Society 2018-04-06 2018-02-16 /pmc/articles/PMC5829188/ /pubmed/29503726 http://dx.doi.org/10.1098/rsfs.2017.0048 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Disney, M. I.
Boni Vicari, M.
Burt, A.
Calders, K.
Lewis, S. L.
Raumonen, P.
Wilkes, P.
Weighing trees with lasers: advances, challenges and opportunities
title Weighing trees with lasers: advances, challenges and opportunities
title_full Weighing trees with lasers: advances, challenges and opportunities
title_fullStr Weighing trees with lasers: advances, challenges and opportunities
title_full_unstemmed Weighing trees with lasers: advances, challenges and opportunities
title_short Weighing trees with lasers: advances, challenges and opportunities
title_sort weighing trees with lasers: advances, challenges and opportunities
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829188/
https://www.ncbi.nlm.nih.gov/pubmed/29503726
http://dx.doi.org/10.1098/rsfs.2017.0048
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