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...

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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)
id EDOCUR2_0ff4efaf5f8c75f09707ba35a62c056c
oai_identifier_str oai:repository.urosario.edu.co:10336/28111
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
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
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