Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model
Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveg...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28111
- Acceso en línea:
- https://doi.org/10.1016/j.jenvman.2013.08.029
https://repository.urosario.edu.co/handle/10336/28111
- Palabra clave:
- Ecosystem services and goods
Decision-tree analysis
Aboveground carbon storage
Timber volume
Florida
InVEST model
- Rights
- License
- Restringido (Acceso a grupos específicos)
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Repositorio EdocUR - U. Rosario |
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|
spelling |
f93e5ded-7229-42a2-a0bf-ce02084b64d5-1368d04f3-0ee7-4522-b98a-584e22667c6f-13abb1c9d-320d-404e-9293-8b65e4e628ec-1e65709e3-1910-4c05-b39c-95c6ebb79653-12020-08-19T14:45:50Z2020-08-19T14:45:50Z2013-11-01Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveground carbon storage and timber volume. Using land cover, plot-level forest inventory data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and a decision tree-based framework; we determined potential damage to subtropical forests from hurricanes in the Lower Suwannee River (LS) and Pensacola Bay (PB) watersheds in Florida, US. We used biophysical factors identified in previous studies as being influential in forest damage in our decision tree and hurricane wind risk maps. Results show that 31% and 0.5% of the total aboveground carbon storage in the LS and PB, respectively was located in high forest damage risk (HR) zones. Overall 15% and 0.7% of the total timber net volume in the LS and PB, respectively, was in HR zones. This model can also be used for identifying timber salvage areas, developing ecosystem service provision and management scenarios, and assessing the effect of other drivers on ecosystem services and goods.application/pdfhttps://doi.org/10.1016/j.jenvman.2013.08.029ISSN: 0301-4797https://repository.urosario.edu.co/handle/10336/28111engElsevier607599Journal of Environmental ManagementVol. 129Journal of Environmental Management, ISSN: 0301-4797, Vol.129 (November, 2013); pp. 599-607https://www.sciencedirect.com/science/article/pii/S0301479713005525Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecJournal of Environmental Managementinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocUREcosystem services and goodsDecision-tree analysisAboveground carbon storageTimber volumeFloridaInVEST modelMapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver modelMapeo de las pérdidas potenciales de carbono y madera de los huracanes utilizando un árbol de decisiones y un modelo impulsor de servicios de los ecosistemasarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Delphin, S.Escobedo, F.J.Abd-Elrahman, A.Cropper Jr., W.10336/28111oai:repository.urosario.edu.co:10336/281112022-05-02 07:37:15.44788https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
dc.title.TranslatedTitle.spa.fl_str_mv |
Mapeo de las pérdidas potenciales de carbono y madera de los huracanes utilizando un árbol de decisiones y un modelo impulsor de servicios de los ecosistemas |
title |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
spellingShingle |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model Ecosystem services and goods Decision-tree analysis Aboveground carbon storage Timber volume Florida InVEST model |
title_short |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
title_full |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
title_fullStr |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
title_full_unstemmed |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
title_sort |
Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model |
dc.subject.keyword.spa.fl_str_mv |
Ecosystem services and goods Decision-tree analysis Aboveground carbon storage Timber volume Florida InVEST model |
topic |
Ecosystem services and goods Decision-tree analysis Aboveground carbon storage Timber volume Florida InVEST model |
description |
Information on the effect of direct drivers such as hurricanes on ecosystem services is relevant to landowners and policy makers due to predicted effects from climate change. We identified forest damage risk zones due to hurricanes and estimated the potential loss of 2 key ecosystem services: aboveground carbon storage and timber volume. Using land cover, plot-level forest inventory data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and a decision tree-based framework; we determined potential damage to subtropical forests from hurricanes in the Lower Suwannee River (LS) and Pensacola Bay (PB) watersheds in Florida, US. We used biophysical factors identified in previous studies as being influential in forest damage in our decision tree and hurricane wind risk maps. Results show that 31% and 0.5% of the total aboveground carbon storage in the LS and PB, respectively was located in high forest damage risk (HR) zones. Overall 15% and 0.7% of the total timber net volume in the LS and PB, respectively, was in HR zones. This model can also be used for identifying timber salvage areas, developing ecosystem service provision and management scenarios, and assessing the effect of other drivers on ecosystem services and goods. |
publishDate |
2013 |
dc.date.created.spa.fl_str_mv |
2013-11-01 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:45:50Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:45:50Z |
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.jenvman.2013.08.029 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 0301-4797 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28111 |
url |
https://doi.org/10.1016/j.jenvman.2013.08.029 https://repository.urosario.edu.co/handle/10336/28111 |
identifier_str_mv |
ISSN: 0301-4797 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
607 |
dc.relation.citationStartPage.none.fl_str_mv |
599 |
dc.relation.citationTitle.none.fl_str_mv |
Journal of Environmental Management |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 129 |
dc.relation.ispartof.spa.fl_str_mv |
Journal of Environmental Management, ISSN: 0301-4797, Vol.129 (November, 2013); pp. 599-607 |
dc.relation.uri.spa.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S0301479713005525 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.acceso.spa.fl_str_mv |
Restringido (Acceso a grupos específicos) |
rights_invalid_str_mv |
Restringido (Acceso a grupos específicos) http://purl.org/coar/access_right/c_16ec |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Elsevier |
dc.source.spa.fl_str_mv |
Journal of Environmental Management |
institution |
Universidad del Rosario |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167448038932480 |