Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach

Gaither, Cassandra Johnson; Poudyal, Neelam C.; Goodrick, Scott L.; Bowker, J.M.; Malone, Sparkle L.; Gan, Jianbang

doi:10.1016/j.forpol.2010.07.009

Cited by 87 publications

(70 citation statements)

References 18 publications

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“…Based on prior work involving social vulnerability and wildfire risk [17,19], we created a social vulnerability index comprised of eight socio-demographic variables from the 2010 U.S. Census of Population and Housing and the 2006-2010 American Community Survey [32,33]. Variables from the 2010 decadal census include the proportion of population at the CBG scale: greater than 65 years old; less than 15 years old; American Indian/Alaskan Native; African American; Hispanic; and renters.…”

Section: Social Vulnerabilitymentioning

confidence: 99%

“…This topic is also of considerable concern in the southeastern U.S. given the proximity of human populations in rural and Wildland Urban Interface areas to forests and other wooded areas and the higher likelihood of wildfire and prescribed fire activities on those lands [16][17][18][19]. Indeed, there have been substantial increases in the number of people relocating to the Wildland Urban Interface across the South over the past 30 years [16,[20][21][22].…”

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confidence: 99%

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An Exploratory Spatial Analysis of Social Vulnerability and Smoke Plume Dispersion in the U.S. South

Gaither

Goodrick

Murphy

et al. 2015

Forests

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This study explores the spatial association between social vulnerability and smoke plume dispersion at the census block group level for the 13 southern states in the USDA Forest Service's Region 8. Using environmental justice as a conceptual basis, we use Exploratory Spatial Data Analysis to identify clusters or "hot spots" for the incidence of both higher than average socially marginal populations and plume dispersion. The larger health disparities and environmental justice literature suggests that lower income and minority populations in the U.S. face greater exposure than middle/upper income, non-minority populations to environmental pollutants; however, we are aware of only a few studies examining this relationship in the context of population exposure to wildfires or prescribed fires in the U.S. South, despite the high occurrence of wildfires in the region. Analyses were conducted across five ecoregions in the South and for winter and spring/summer seasons. Results by ecoregion show significant spatial clustering of high social vulnerability block groups in the vicinity of block groups with a high number of smoke plumes (i.e., "hot spots"). Overall, however, socially vulnerable communities are not exposed to more smoke than non-socially vulnerable communities. Data limitations and suggestions for further research are discussed. OPEN ACCESSForests 2015, 6 1398

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Section: Social Vulnerabilitymentioning

confidence: 99%

mentioning

confidence: 99%

An Exploratory Spatial Analysis of Social Vulnerability and Smoke Plume Dispersion in the U.S. South

Gaither

Goodrick

Murphy

et al. 2015

Forests

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“…On the other hand, garnering sufficient community participation in urban tree management is challenging due to changing socio-demographics and ethnic heterogeneity in major metropolitan areas. Residents living in a heterogeneous community usually show varying levels of interest towards the maintenance and management of community resources like urban trees, which makes planning and implementation complicated (Gaither et al 2011). Another big challenge facing urban forestry right now is insufficient funding.…”

Section: Statementioning

confidence: 99%

Market-Based Approaches Toward the Development of Urban Forest Carbon Projects in the United States

Poudyal¹,

Siry²,

Bowker³

2012

Sustainable Forest Management - Current Research

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“…A lot of research efforts have been devoted to investigating the behaviour, spatial or spatial-temporal patterns, risks and underlying driving factors of wildfire/forest fires (Cova et al, 2005;Yassemi et al, 2008;Gaither et al, 2011). Comparatively, less attention has been paid to urban fires.…”

Section: Introductionmentioning

confidence: 99%

“…Compared to wildfire, urban fire is virtually a both physical and social process (Jennings, 2013), in the sense that it occurs in built environment and affects individuals and socioeconomic activities in the surrounding neighborhood or communities, usually involving both individual causalities and economic losses. Meanwhile, most of the existing work on urban fires has focused on the cases in developed countries, such as the US (Gaither et al, 2011), the UK (Corcoran et al, 2007a(Corcoran et al, , 2007b(Corcoran et al, , 2011a(Corcoran et al, , 2011bHiggins et al, 2013), Canada (Asgary et al, 2010) and Australia (Corcoran et al, 2011a). So far, few studies have been carried out in developing countries and regions.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Dynamics of Urban Fire Incidents: A Case Study of Nanjing, China

Yao

Zhang

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Fire and rescue service is one of the fundamental public services provided by government in order to protect people, properties and environment from fires and other disasters, and thus promote a safer living environment. Well understanding spatial-temporal dynamics of fire incidents can offer insights for potential determinants of various fire events and enable better fire risk estimation, assisting future allocation of prevention resources and strategic planning of mitigation programs. Using a 12-year (2002-2013) dataset containing the urban fire events in Nanjing, China, this research explores the spatial-temporal dynamics of urban fire incidents. A range of exploratory spatial data analysis (ESDA) approaches and tools, such as spatial kernel density and co-maps, are employed to examine the spatial, temporal and spatial-temporal variations of the fire events. Particular attention has been paid to two types of fire incidents: residential properties and local facilities, due to their relatively higher occurrence frequencies. The results demonstrated that the amount of urban fire has greatly increased in the last decade and spatial-temporal distribution of fire events vary among different incident types, which implies varying impact of potential influencing factors for further investigation.

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Wildland fire risk and social vulnerability in the Southeastern United States: An exploratory spatial data analysis approach

Cited by 87 publications

References 18 publications

An Exploratory Spatial Analysis of Social Vulnerability and Smoke Plume Dispersion in the U.S. South

An Exploratory Spatial Analysis of Social Vulnerability and Smoke Plume Dispersion in the U.S. South

Market-Based Approaches Toward the Development of Urban Forest Carbon Projects in the United States

Spatial-Temporal Dynamics of Urban Fire Incidents: A Case Study of Nanjing, China

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