Assessing urban tree carbon storage and sequestration in Bolzano, Italy

Recent climate change, environmental design, and ecological conservation policies require new and existing urban developments to mitigate and offset carbon dioxide emissions and for cities to become carbon neutral. Some North American models and tools are available and can be used to quantify the ca...

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Autores Principales: Russo, Alessio, Escobedo, Francisco J., Timilsina, Nilesh, Schmitt,Armin Otto, Varela, Sebastian, Zerbe, Stefan
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Taylor & Francis 2014
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/27254
https://doi.org/10.1080/21513732.2013.873822
id ir-10336-27254
recordtype dspace
spelling ir-10336-272542022-05-02T12:37:21Z Assessing urban tree carbon storage and sequestration in Bolzano, Italy Evaluación del almacenamiento y secuestro de carbono de árboles urbanos en Bolzano, Italia Russo, Alessio Escobedo, Francisco J. Timilsina, Nilesh Schmitt,Armin Otto Varela, Sebastian Zerbe, Stefan I-Tree Eco Growth rates Allometric equations Ecosystem services CTCC model Recent climate change, environmental design, and ecological conservation policies require new and existing urban developments to mitigate and offset carbon dioxide emissions and for cities to become carbon neutral. Some North American models and tools are available and can be used to quantify the carbon offset function of urban trees. But, little information on urban tree carbon storage and sequestration exists from the European Southern Alps. Also, the use of these North American models in Europe has never been assessed. This study developed a protocol to quantify aboveground carbon (C) storage and sequestration using a subsample of urban trees in Bolzano, Italy, and assessed two existing and available C estimation models. Carbon storage and sequestration were estimated using city-specific dendrometrics and allometric biomass equations primarily from Europe and two other United States models; the UFORE (Urban Forest Effects Model) and the CUFR Tree Carbon Calculator (CTCC). The UFORE model carbon storage estimates were the lowest while the CUFR Tree Carbon Calculator (CTCC) C sequestration estimates were the highest. Results from this study can be used to plan, design, and manage urban forests in northern Italy to maximize C offset potential, provide ecosystem services, and for developing carbon neutral policies. Findings can also be used to predict greenhouse gas emissions from tree maintenance operations as well as estimating green waste yield from landscape maintenance activities and its use as biofuel and compost. Managers need to be aware that available models and methods can produce statistically different C storage and sequestration estimates 2014-01-01 2020-08-19T14:41:30Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ISSN: 21513740 EISSN: 2151-3732 https://repository.urosario.edu.co/handle/10336/27254 https://doi.org/10.1080/21513732.2013.873822 eng info:eu-repo/semantics/openAccess application/pdf Taylor & Francis instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic I-Tree Eco
Growth rates
Allometric equations
Ecosystem services
CTCC model
spellingShingle I-Tree Eco
Growth rates
Allometric equations
Ecosystem services
CTCC model
Russo, Alessio
Escobedo, Francisco J.
Timilsina, Nilesh
Schmitt,Armin Otto
Varela, Sebastian
Zerbe, Stefan
Assessing urban tree carbon storage and sequestration in Bolzano, Italy
description Recent climate change, environmental design, and ecological conservation policies require new and existing urban developments to mitigate and offset carbon dioxide emissions and for cities to become carbon neutral. Some North American models and tools are available and can be used to quantify the carbon offset function of urban trees. But, little information on urban tree carbon storage and sequestration exists from the European Southern Alps. Also, the use of these North American models in Europe has never been assessed. This study developed a protocol to quantify aboveground carbon (C) storage and sequestration using a subsample of urban trees in Bolzano, Italy, and assessed two existing and available C estimation models. Carbon storage and sequestration were estimated using city-specific dendrometrics and allometric biomass equations primarily from Europe and two other United States models; the UFORE (Urban Forest Effects Model) and the CUFR Tree Carbon Calculator (CTCC). The UFORE model carbon storage estimates were the lowest while the CUFR Tree Carbon Calculator (CTCC) C sequestration estimates were the highest. Results from this study can be used to plan, design, and manage urban forests in northern Italy to maximize C offset potential, provide ecosystem services, and for developing carbon neutral policies. Findings can also be used to predict greenhouse gas emissions from tree maintenance operations as well as estimating green waste yield from landscape maintenance activities and its use as biofuel and compost. Managers need to be aware that available models and methods can produce statistically different C storage and sequestration estimates
format Artículo (Article)
author Russo, Alessio
Escobedo, Francisco J.
Timilsina, Nilesh
Schmitt,Armin Otto
Varela, Sebastian
Zerbe, Stefan
author_facet Russo, Alessio
Escobedo, Francisco J.
Timilsina, Nilesh
Schmitt,Armin Otto
Varela, Sebastian
Zerbe, Stefan
author_sort Russo, Alessio
title Assessing urban tree carbon storage and sequestration in Bolzano, Italy
title_short Assessing urban tree carbon storage and sequestration in Bolzano, Italy
title_full Assessing urban tree carbon storage and sequestration in Bolzano, Italy
title_fullStr Assessing urban tree carbon storage and sequestration in Bolzano, Italy
title_full_unstemmed Assessing urban tree carbon storage and sequestration in Bolzano, Italy
title_sort assessing urban tree carbon storage and sequestration in bolzano, italy
publisher Taylor & Francis
publishDate 2014
url https://repository.urosario.edu.co/handle/10336/27254
https://doi.org/10.1080/21513732.2013.873822
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score 12,131701