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...
- Autores:
- 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
- Rights
- License
- Restringido (Acceso a grupos específicos)
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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 |
_version_ |
1814167603976863744 |