Modeling hurricane-caused urban forest debris in Houston, Texas

Information on post-hurricane urban forest debris in the Southeastern United States is limited. A stratified subset of permanent plots within the city of Houston, Texas, originally established in 2001 were selected and measured for hurricane impacts on urban forest structure and debris generation fo...

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Tipo de recurso:
Fecha de publicación:
2011
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/28138
Acceso en línea:
https://doi.org/10.1016/j.landurbplan.2011.02.034
https://repository.urosario.edu.co/handle/10336/28138
Palabra clave:
Urban Forest Effects model
Hurricane damage
Urban forest management
Emergency management
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Restringido (Acceso a grupos específicos)
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oai_identifier_str oai:repository.urosario.edu.co:10336/28138
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 99c3a96e-1d61-4e8f-943d-ae9dba8c3af1-12d7c8bf2-67a1-46d2-a8e0-b82768ad86d9-1812c0f82-84d9-4303-94e2-ac6bad7008e4-173e7b4b1-3da7-4709-bde0-a2981f70a305-1065b432d-a61a-420f-a701-d8e996da834d-12020-08-19T14:46:01Z2020-08-19T14:46:01Z2011-01-01Information on post-hurricane urban forest debris in the Southeastern United States is limited. A stratified subset of permanent plots within the city of Houston, Texas, originally established in 2001 were selected and measured for hurricane impacts on urban forest structure and debris generation following Hurricane Ike which struck the Houston region on September 13, 2008. Three statistical models were developed and input parameters included measured urban forest structure data, land cover data from existing plots, the National Hurricane Center's H*Wind dataset, and the United States Geological Survey's National Land Cover Database. The statistical models estimated tree debris based on alignment of pre- and post-storm data. Land cover was tested as a proxy variable for pre-storm urban forest biomass and post-storm tree debris. Estimates of pre-storm, urban forest biomass were established to test the statistical relationship between pre-storm biomass and poststorm debris. Testing of both land cover as a proxy variable and the biomass–debris relationship were performed to simplify volumetric estimates of debris produced through statistical modeling. Debris models were spatially analyzed to determine debris distribution and to compare with existing literature and available vegetation debris estimation models. Results suggest that urban forest structure variables have greater influence over variation in debris estimates than storm-related variables. Highlightsapplication/pdfhttps://doi.org/10.1016/j.landurbplan.2011.02.034ISSN: 0169-2046EISSN: 0304-3924https://repository.urosario.edu.co/handle/10336/28138engElsevier297No. 3286Landscape and Urban PlanningVol. 101Landscape and Urban Planning, ISSN: 0169-2046;EISSN:0304-3924, Vol.101, No.3, (June, 2011); pp. 286-297https://www.sciencedirect.com/science/article/pii/S0169204611001009Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecLandscape and Urban Planninginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURUrban Forest Effects modelHurricane damageUrban forest managementEmergency managementModeling hurricane-caused urban forest debris in Houston, TexasModelado de escombros de bosques urbanos causados ??por huracanes en Houston, TexasarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Thompson, Benjamin K.Escobedo, Francisco J.Staudhammer, Christina L.Matyas, Corene J.Qiu, Youliang10336/28138oai:repository.urosario.edu.co:10336/281382021-06-03 00:51:12.571https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Modeling hurricane-caused urban forest debris in Houston, Texas
dc.title.TranslatedTitle.spa.fl_str_mv Modelado de escombros de bosques urbanos causados ??por huracanes en Houston, Texas
title Modeling hurricane-caused urban forest debris in Houston, Texas
spellingShingle Modeling hurricane-caused urban forest debris in Houston, Texas
Urban Forest Effects model
Hurricane damage
Urban forest management
Emergency management
title_short Modeling hurricane-caused urban forest debris in Houston, Texas
title_full Modeling hurricane-caused urban forest debris in Houston, Texas
title_fullStr Modeling hurricane-caused urban forest debris in Houston, Texas
title_full_unstemmed Modeling hurricane-caused urban forest debris in Houston, Texas
title_sort Modeling hurricane-caused urban forest debris in Houston, Texas
dc.subject.keyword.spa.fl_str_mv Urban Forest Effects model
Hurricane damage
Urban forest management
Emergency management
topic Urban Forest Effects model
Hurricane damage
Urban forest management
Emergency management
description Information on post-hurricane urban forest debris in the Southeastern United States is limited. A stratified subset of permanent plots within the city of Houston, Texas, originally established in 2001 were selected and measured for hurricane impacts on urban forest structure and debris generation following Hurricane Ike which struck the Houston region on September 13, 2008. Three statistical models were developed and input parameters included measured urban forest structure data, land cover data from existing plots, the National Hurricane Center's H*Wind dataset, and the United States Geological Survey's National Land Cover Database. The statistical models estimated tree debris based on alignment of pre- and post-storm data. Land cover was tested as a proxy variable for pre-storm urban forest biomass and post-storm tree debris. Estimates of pre-storm, urban forest biomass were established to test the statistical relationship between pre-storm biomass and poststorm debris. Testing of both land cover as a proxy variable and the biomass–debris relationship were performed to simplify volumetric estimates of debris produced through statistical modeling. Debris models were spatially analyzed to determine debris distribution and to compare with existing literature and available vegetation debris estimation models. Results suggest that urban forest structure variables have greater influence over variation in debris estimates than storm-related variables. Highlights
publishDate 2011
dc.date.created.spa.fl_str_mv 2011-01-01
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:46:01Z
dc.date.available.none.fl_str_mv 2020-08-19T14:46:01Z
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.landurbplan.2011.02.034
dc.identifier.issn.none.fl_str_mv ISSN: 0169-2046
EISSN: 0304-3924
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/28138
url https://doi.org/10.1016/j.landurbplan.2011.02.034
https://repository.urosario.edu.co/handle/10336/28138
identifier_str_mv ISSN: 0169-2046
EISSN: 0304-3924
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 297
dc.relation.citationIssue.none.fl_str_mv No. 3
dc.relation.citationStartPage.none.fl_str_mv 286
dc.relation.citationTitle.none.fl_str_mv Landscape and Urban Planning
dc.relation.citationVolume.none.fl_str_mv Vol. 101
dc.relation.ispartof.spa.fl_str_mv Landscape and Urban Planning, ISSN: 0169-2046;EISSN:0304-3924, Vol.101, No.3, (June, 2011); pp. 286-297
dc.relation.uri.spa.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0169204611001009
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 Landscape and Urban Planning
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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