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Above-ground biomass references for urban trees from terrestrial laser scanning data

BACKGROUND AND AIMS: Within extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the ‘heat island’ effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quanti...

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Autores principales: Kükenbrink, Daniel, Gardi, Oliver, Morsdorf, Felix, Thürig, Esther, Schellenberger, Andreas, Mathys, Lukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557373/
https://www.ncbi.nlm.nih.gov/pubmed/33693550
http://dx.doi.org/10.1093/aob/mcab002
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author Kükenbrink, Daniel
Gardi, Oliver
Morsdorf, Felix
Thürig, Esther
Schellenberger, Andreas
Mathys, Lukas
author_facet Kükenbrink, Daniel
Gardi, Oliver
Morsdorf, Felix
Thürig, Esther
Schellenberger, Andreas
Mathys, Lukas
author_sort Kükenbrink, Daniel
collection PubMed
description BACKGROUND AND AIMS: Within extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the ‘heat island’ effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quantification of above-ground biomass (AGB) is of especial importance to assess its carbon storage potential. However, quantification of AGB is difficult and the allometries applied are often based on forest trees, which are subject to very different growing conditions, competition and form. In this article we highlight the potential of terrestrial laser scanning (TLS) techniques to extract highly detailed information on urban tree structure and AGB. METHODS: Fifty-five urban trees distributed over seven cities in Switzerland were measured using TLS and traditional forest inventory techniques before they were felled and weighed. Tree structure, volume and AGB from the TLS point clouds were extracted using quantitative structure modelling. TLS-derived AGB estimates were compared with AGB estimates based on forest tree allometries dependent on diameter at breast height only. The correlations of various tree metrics as AGB predictors were assessed. KEY RESULTS: Estimates of AGB derived by TLS showed good performance when compared with destructively harvested references, with an R(2) of 0.954 (RMSE = 556 kg) compared with 0.837 (RMSE = 1159 kg) for allometrically derived AGB estimates. A correlation analysis showed that different TLS-derived wood volume estimates as well as trunk diameters and tree crown metrics show high correlation in describing total wood AGB, outperforming tree height. CONCLUSIONS: Wood volume estimates based on TLS show high potential to estimate tree AGB independent of tree species, size and form. This allows us to retrieve highly accurate non-destructive AGB estimates that could be used to establish new allometric equations without the need for extensive destructive harvesting.
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spelling pubmed-85573732021-11-01 Above-ground biomass references for urban trees from terrestrial laser scanning data Kükenbrink, Daniel Gardi, Oliver Morsdorf, Felix Thürig, Esther Schellenberger, Andreas Mathys, Lukas Ann Bot Original Articles BACKGROUND AND AIMS: Within extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the ‘heat island’ effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quantification of above-ground biomass (AGB) is of especial importance to assess its carbon storage potential. However, quantification of AGB is difficult and the allometries applied are often based on forest trees, which are subject to very different growing conditions, competition and form. In this article we highlight the potential of terrestrial laser scanning (TLS) techniques to extract highly detailed information on urban tree structure and AGB. METHODS: Fifty-five urban trees distributed over seven cities in Switzerland were measured using TLS and traditional forest inventory techniques before they were felled and weighed. Tree structure, volume and AGB from the TLS point clouds were extracted using quantitative structure modelling. TLS-derived AGB estimates were compared with AGB estimates based on forest tree allometries dependent on diameter at breast height only. The correlations of various tree metrics as AGB predictors were assessed. KEY RESULTS: Estimates of AGB derived by TLS showed good performance when compared with destructively harvested references, with an R(2) of 0.954 (RMSE = 556 kg) compared with 0.837 (RMSE = 1159 kg) for allometrically derived AGB estimates. A correlation analysis showed that different TLS-derived wood volume estimates as well as trunk diameters and tree crown metrics show high correlation in describing total wood AGB, outperforming tree height. CONCLUSIONS: Wood volume estimates based on TLS show high potential to estimate tree AGB independent of tree species, size and form. This allows us to retrieve highly accurate non-destructive AGB estimates that could be used to establish new allometric equations without the need for extensive destructive harvesting. Oxford University Press 2021-03-10 /pmc/articles/PMC8557373/ /pubmed/33693550 http://dx.doi.org/10.1093/aob/mcab002 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Annals of Botany Company. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Kükenbrink, Daniel
Gardi, Oliver
Morsdorf, Felix
Thürig, Esther
Schellenberger, Andreas
Mathys, Lukas
Above-ground biomass references for urban trees from terrestrial laser scanning data
title Above-ground biomass references for urban trees from terrestrial laser scanning data
title_full Above-ground biomass references for urban trees from terrestrial laser scanning data
title_fullStr Above-ground biomass references for urban trees from terrestrial laser scanning data
title_full_unstemmed Above-ground biomass references for urban trees from terrestrial laser scanning data
title_short Above-ground biomass references for urban trees from terrestrial laser scanning data
title_sort above-ground biomass references for urban trees from terrestrial laser scanning data
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557373/
https://www.ncbi.nlm.nih.gov/pubmed/33693550
http://dx.doi.org/10.1093/aob/mcab002
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