Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach

Climate action plans, with goals for carbon neutrality of cities, often rely on estimates of urban forest biomass and related annual carbon sequestration balanced against citywide carbon emissions. For these estimates to be successful, there is a need both for accurate quantification of urban tree p...

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Autores:
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22292
Acceso en línea:
https://doi.org/10.1016/j.jclepro.2020.120420
https://repository.urosario.edu.co/handle/10336/22292
Palabra clave:
Budget control
Lithium compounds
Optical radar
Urban growth
Waste management
Wood
Accurate quantifications
Allometric equations
Carbon neutralities
Carbon sequestration
Field measurement
Light detection and ranging
Missing value imputation
Urban trees
Forestry
Carbon sequestration
I-tree
IPCC waste model
Lidar
Missing value imputation
Urban tree growth
Urban tree inventory
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Abierto (Texto Completo)
id EDOCUR2_2aafa74cb8eca3a911d51a82b8dfb506
oai_identifier_str oai:repository.urosario.edu.co:10336/22292
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 81641d18-b764-4cdd-b8ca-a0c8f84b60bf-12d7c8bf2-67a1-46d2-a8e0-b82768ad86d9-13545fc8a-49ec-4ade-9304-a7c45177a29d-15d1a9b94-7954-4191-873f-95a265b72de5-12020-05-25T23:56:00Z2020-05-25T23:56:00Z2020Climate action plans, with goals for carbon neutrality of cities, often rely on estimates of urban forest biomass and related annual carbon sequestration balanced against citywide carbon emissions. For these estimates to be successful, there is a need both for accurate quantification of urban tree populations and structure, and consideration of the net carbon sequestered when the fate of wood waste is factored in. This study provides a novel approach to providing a full city tree inventory for the city of Meran in northern Italy, using a combination of Light Detection and Ranging (LiDAR) and field techniques. Allometric equations, and the i-Tree application quantified the carbon storage in Meran as 8923 and 9213 Mg respectively, with an average carbon storage of 13.5 t/ha (5.47 kg C/m2). The percentage of traffic emissions sequestered annually is 0.61% falling to 0.17% when all emissions are considered. Differences between end-of-life wood management techniques were revealed, with burning with energy recovery for electricity being the most efficient with a carbon emissions/input ratio of 0.5. Landfill was the least efficient with a ratio of 121.9. The fate of this end-of-life wood has significant implications for carbon budget calculations in cities worldwide. © 2020 Elsevier Ltdapplication/pdfhttps://doi.org/10.1016/j.jclepro.2020.1204209596526https://repository.urosario.edu.co/handle/10336/22292engElsevier LtdJournal of Cleaner ProductionVol. 256Journal of Cleaner Production, ISSN:9596526, Vol.256,(2020)https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079123875&doi=10.1016%2fj.jclepro.2020.120420&partnerID=40&md5=9ec9123cd37cff4859f41d3a0dc83085Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBudget controlLithium compoundsOptical radarUrban growthWaste managementWoodAccurate quantificationsAllometric equationsCarbon neutralitiesCarbon sequestrationField measurementLight detection and rangingMissing value imputationUrban treesForestryCarbon sequestrationI-treeIPCC waste modelLidarMissing value imputationUrban tree growthUrban tree inventoryTotal urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approacharticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Speak, AndrewEscobedo, Francisco J.Russo, AlessioZerbe, Stefan10336/22292oai:repository.urosario.edu.co:10336/222922022-05-02 07:37:20.340542https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
title Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
spellingShingle Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
Budget control
Lithium compounds
Optical radar
Urban growth
Waste management
Wood
Accurate quantifications
Allometric equations
Carbon neutralities
Carbon sequestration
Field measurement
Light detection and ranging
Missing value imputation
Urban trees
Forestry
Carbon sequestration
I-tree
IPCC waste model
Lidar
Missing value imputation
Urban tree growth
Urban tree inventory
title_short Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
title_full Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
title_fullStr Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
title_full_unstemmed Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
title_sort Total urban tree carbon storage and waste management emissions estimated using a combination of LiDAR, field measurements and an end-of-life wood approach
dc.subject.keyword.spa.fl_str_mv Budget control
Lithium compounds
Optical radar
Urban growth
Waste management
Wood
Accurate quantifications
Allometric equations
Carbon neutralities
Carbon sequestration
Field measurement
Light detection and ranging
Missing value imputation
Urban trees
Forestry
Carbon sequestration
I-tree
IPCC waste model
Lidar
Missing value imputation
Urban tree growth
Urban tree inventory
topic Budget control
Lithium compounds
Optical radar
Urban growth
Waste management
Wood
Accurate quantifications
Allometric equations
Carbon neutralities
Carbon sequestration
Field measurement
Light detection and ranging
Missing value imputation
Urban trees
Forestry
Carbon sequestration
I-tree
IPCC waste model
Lidar
Missing value imputation
Urban tree growth
Urban tree inventory
description Climate action plans, with goals for carbon neutrality of cities, often rely on estimates of urban forest biomass and related annual carbon sequestration balanced against citywide carbon emissions. For these estimates to be successful, there is a need both for accurate quantification of urban tree populations and structure, and consideration of the net carbon sequestered when the fate of wood waste is factored in. This study provides a novel approach to providing a full city tree inventory for the city of Meran in northern Italy, using a combination of Light Detection and Ranging (LiDAR) and field techniques. Allometric equations, and the i-Tree application quantified the carbon storage in Meran as 8923 and 9213 Mg respectively, with an average carbon storage of 13.5 t/ha (5.47 kg C/m2). The percentage of traffic emissions sequestered annually is 0.61% falling to 0.17% when all emissions are considered. Differences between end-of-life wood management techniques were revealed, with burning with energy recovery for electricity being the most efficient with a carbon emissions/input ratio of 0.5. Landfill was the least efficient with a ratio of 121.9. The fate of this end-of-life wood has significant implications for carbon budget calculations in cities worldwide. © 2020 Elsevier Ltd
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:56:00Z
dc.date.available.none.fl_str_mv 2020-05-25T23:56:00Z
dc.date.created.spa.fl_str_mv 2020
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jclepro.2020.120420
dc.identifier.issn.none.fl_str_mv 9596526
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22292
url https://doi.org/10.1016/j.jclepro.2020.120420
https://repository.urosario.edu.co/handle/10336/22292
identifier_str_mv 9596526
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv Journal of Cleaner Production
dc.relation.citationVolume.none.fl_str_mv Vol. 256
dc.relation.ispartof.spa.fl_str_mv Journal of Cleaner Production, ISSN:9596526, Vol.256,(2020)
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079123875&doi=10.1016%2fj.jclepro.2020.120420&partnerID=40&md5=9ec9123cd37cff4859f41d3a0dc83085
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier Ltd
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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