Modeling hurricane-caused urban forest debris in Houston, Texas

Abstract 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.

[1]  John A. Kupfer,et al.  Patterns of Forest Damage in a Southern Mississippi Landscape Caused by Hurricane Katrina , 2008, Ecosystems.

[2]  J. Lundholm,et al.  Post-hurricane vegetation recovery in an urban forest , 2008 .

[3]  P. Bettinger,et al.  Physical and biological responses of forests to tropical cyclones affecting the United States Atlantic Ocean and Gulf of Mexico coasts. , 2009 .

[4]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[5]  G. Wang,et al.  Changes in forest biomass carbon storage in the South Carolina Piedmont between 1936 and 2005 , 2008 .

[6]  Madhuri S. Mulekar,et al.  A 15-Year Climatology of North Atlantic Tropical Cyclones. Part I: Size Parameters , 2004 .

[7]  Mark D. Powell,et al.  A Reanalysis of the Surface Winds for Hurricane Donna of 1960 , 2003 .

[8]  Christina L. Staudhammer,et al.  Rapid Assessment of Change and Hurricane Impacts to Houston’s Urban Forest Structure , 2011, Arboriculture & Urban Forestry.

[9]  R. Pielke,et al.  Normalized Hurricane Damages in the United States: 1925-95 , 1998 .

[10]  Christina L. Staudhammer,et al.  Patterns of Urban Forest Debris from the 2004 and 2005 Florida Hurricane Seasons , 2009 .

[11]  S. Ustin,et al.  Using AVIRIS data and multiple-masking techniques to map urban forest tree species , 2004 .

[12]  Scott L. Goodrick,et al.  Disturbance and coastal forests: a strategic approach to forest management in hurricane impact zones , 2007 .

[13]  D. Gilhousen,et al.  TROPICAL CYCLONE WINDS AT LANDFALL: The ASOS–C-MAN Wind Exposure Documentation Project , 2004 .

[14]  Valerie Kapos,et al.  Hurricane effects on forest ecosystems in the Caribbean , 1991 .

[15]  Emery R. Boose,et al.  Patterns of forest damage resulting from catastrophic wind in central New England, USA , 1992 .

[16]  B. Riley,et al.  EMERGENCY MANAGEMENT AGENCY , 2009 .

[17]  S. Pickett,et al.  Spatial heterogeneity in urban ecosystems: reconceptualizing land cover and a framework for classification , 2007 .

[18]  S. Cutter,et al.  Fleeing from the Hurricane's Wrath: Evacuation and the two Americas , 2009 .

[19]  J. C. Stevens,et al.  Measuring and analyzing urban tree cover , 1996 .

[20]  Edwin M. Everham,et al.  Forest damage and recovery from catastrophic wind , 1996, The Botanical Review.

[21]  Corinna Gries,et al.  Estimating vegetation cover in an urban environment based on Landsat ETM+ imagery: A case study in Phoenix, USA , 2007 .

[22]  John K. Francis,et al.  RELATING GUST SPEED TO TREE DAMAGE IN HURRICANE HUGO, 1989 , 2006 .

[23]  C. Oswalt,et al.  Relationships between common forest metrics and realized impacts of Hurricane Katrina on forest resources in Mississippi , 2008 .

[24]  Hongcheng Zeng,et al.  A GIS-based decision support system for risk assessment of wind damage in forest management , 2007, Environ. Model. Softw..

[25]  Phaedon C. Kyriakidis,et al.  Improving spatial distribution estimation of forest biomass with geostatistics: A case study for Rondônia, Brazil , 2007 .

[26]  Mark D. Powell,et al.  Hurricane Andrew's Landfall in South Florida. Part II: Surface Wind Fields and Potential Real-Time Applications , 1996 .

[27]  J. H. Balsillie Expedient Assessments of Coastal Storm and Hurricane Damage Potential , 2002 .

[28]  Christina L. Staudhammer,et al.  Hurricane Debris and Damage Assessment for Florida Urban Forests , 2009, Arboriculture & Urban Forestry.

[29]  R. Littell,et al.  Hurricanes and the Urban Forest: I. Effects on Southeastern United States Coastal Plain Tree Species , 2007 .

[30]  A. Bachu Current Population Reports , 1999 .

[31]  M. Ridd Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities , 1995 .

[32]  M. Duggin,et al.  A temporal analysis of urban forest carbon storage using remote sensing , 2006 .

[33]  M. D. Nelson,et al.  Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information , 2008 .