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New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning

Terrestrial laser scanning (TLS) opens up the possibility of describing the three-dimensional structures of trees in natural environments with unprecedented detail and accuracy. It is already being extensively applied to describe how ecosystem biomass and structure vary between sites, but can also f...

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Autores principales: Malhi, Yadvinder, Jackson, Tobias, Patrick Bentley, Lisa, Lau, Alvaro, Shenkin, Alexander, Herold, Martin, Calders, Kim, Bartholomeus, Harm, Disney, Mathias I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829190/
https://www.ncbi.nlm.nih.gov/pubmed/29503728
http://dx.doi.org/10.1098/rsfs.2017.0052
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author Malhi, Yadvinder
Jackson, Tobias
Patrick Bentley, Lisa
Lau, Alvaro
Shenkin, Alexander
Herold, Martin
Calders, Kim
Bartholomeus, Harm
Disney, Mathias I.
author_facet Malhi, Yadvinder
Jackson, Tobias
Patrick Bentley, Lisa
Lau, Alvaro
Shenkin, Alexander
Herold, Martin
Calders, Kim
Bartholomeus, Harm
Disney, Mathias I.
author_sort Malhi, Yadvinder
collection PubMed
description Terrestrial laser scanning (TLS) opens up the possibility of describing the three-dimensional structures of trees in natural environments with unprecedented detail and accuracy. It is already being extensively applied to describe how ecosystem biomass and structure vary between sites, but can also facilitate major advances in developing and testing mechanistic theories of tree form and forest structure, thereby enabling us to understand why trees and forests have the biomass and three-dimensional structure they do. Here we focus on the ecological challenges and benefits of understanding tree form, and highlight some advances related to capturing and describing tree shape that are becoming possible with the advent of TLS. We present examples of ongoing work that applies, or could potentially apply, new TLS measurements to better understand the constraints on optimization of tree form. Theories of resource distribution networks, such as metabolic scaling theory, can be tested and further refined. TLS can also provide new approaches to the scaling of woody surface area and crown area, and thereby better quantify the metabolism of trees. Finally, we demonstrate how we can develop a more mechanistic understanding of the effects of avoidance of wind risk on tree form and maximum size. Over the next few years, TLS promises to deliver both major empirical and conceptual advances in the quantitative understanding of trees and tree-dominated ecosystems, leading to advances in understanding the ecology of why trees and ecosystems look and grow the way they do.
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spelling pubmed-58291902018-04-20 New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning Malhi, Yadvinder Jackson, Tobias Patrick Bentley, Lisa Lau, Alvaro Shenkin, Alexander Herold, Martin Calders, Kim Bartholomeus, Harm Disney, Mathias I. Interface Focus Articles Terrestrial laser scanning (TLS) opens up the possibility of describing the three-dimensional structures of trees in natural environments with unprecedented detail and accuracy. It is already being extensively applied to describe how ecosystem biomass and structure vary between sites, but can also facilitate major advances in developing and testing mechanistic theories of tree form and forest structure, thereby enabling us to understand why trees and forests have the biomass and three-dimensional structure they do. Here we focus on the ecological challenges and benefits of understanding tree form, and highlight some advances related to capturing and describing tree shape that are becoming possible with the advent of TLS. We present examples of ongoing work that applies, or could potentially apply, new TLS measurements to better understand the constraints on optimization of tree form. Theories of resource distribution networks, such as metabolic scaling theory, can be tested and further refined. TLS can also provide new approaches to the scaling of woody surface area and crown area, and thereby better quantify the metabolism of trees. Finally, we demonstrate how we can develop a more mechanistic understanding of the effects of avoidance of wind risk on tree form and maximum size. Over the next few years, TLS promises to deliver both major empirical and conceptual advances in the quantitative understanding of trees and tree-dominated ecosystems, leading to advances in understanding the ecology of why trees and ecosystems look and grow the way they do. The Royal Society 2018-04-06 2018-02-16 /pmc/articles/PMC5829190/ /pubmed/29503728 http://dx.doi.org/10.1098/rsfs.2017.0052 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
Malhi, Yadvinder
Jackson, Tobias
Patrick Bentley, Lisa
Lau, Alvaro
Shenkin, Alexander
Herold, Martin
Calders, Kim
Bartholomeus, Harm
Disney, Mathias I.
New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title_full New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title_fullStr New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title_full_unstemmed New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title_short New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
title_sort new perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829190/
https://www.ncbi.nlm.nih.gov/pubmed/29503728
http://dx.doi.org/10.1098/rsfs.2017.0052
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