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)
Description
Summary: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