气候变化领域集成服务门户(CCPortal): Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires

CCPortal

DOI	10.1088/1748-9326/ab9be5
	Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires
	Miranda A.; Carrasco J.; González M.; Pais C.; Lara A.; Altamirano A.; Weintraub A.; Syphard A.D.
发表日期	2020
ISSN	17489318
卷号	15 期号:9
英文摘要	The wildland-urban interface (WUI) is the spatial manifestation of human communities coupled with vegetated ecosystems. Spatial delineation of the WUI is important for wildfire policy and management, but is typically defined according to spatial relationships between housing development and wildland vegetation without explicit consideration of fire risk. A fire risk-based definition of WUI can enable a better distribution of management investment so as to maximize social return. We present a novel methodological approach to delineate the WUI based on a fire risk assessment. The approach establishes a geographical framework to model fire risk via machine learning and generate multi-scale, variable-specific spatial thresholds for translating fire probabilities into mapped output. To determine whether fire-based WUI mapping better captures the spatial congruence of houses and wildfires than conventional methods, we compared national and subnational fire-based WUI maps for Chile to WUI maps generated only with housing and vegetation thresholds. The two mapping approaches exhibited broadly similar spatial patterns, the WUI definitions covering almost the same area and containing similar proportions of the housing units in the area under study (17.1% vs. 17.9%), but the fire-based WUI accounted for 13.8% more spatial congruence of fires and people (47.1% vs. 33.2% of ignitions). Substantial regional variability was found in fire risk drivers and the corresponding spatial mapping thresholds, suggesting there are benefits to developing different WUI maps for different scales of application. We conclude that a dynamic, multi-scale, fire-based WUI mapping approach should provide more targeted and effective support for decision making than conventional approaches. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	artificial intelligence; Chile; fire ignitions; landscape planning; machine learning; rural-urban interface
语种	英语
scopus关键词	Behavioral research; Decision making; Housing; Mapping; Risk assessment; Vegetation; Conventional approach; Conventional methods; Fire risk assessment; Methodological approach; Regional variability; Spatial relationships; Vegetated ecosystems; Wildland urban interface; Fires; decision making; machine learning; mapping; spatial analysis; threshold; wildfire; wildlife management; Chile
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153732
作者单位	Center for Climate and Resilience Research (CR2), University of Chile, Santiago, Chile; Landscape Ecology and Conservation Lab, Facultad de Ciencias Agropecuarias y Forestales, Universidad de la Frontera, Temuco, Chile; Industrial Engineering Department, University of Chile, Santiago, Chile; Complex Engineering System Institute - ISCI, Santiago, Chile; Instituto de Conservación, Biodiversidad y Territorio, Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, Valdivia, Chile; Industrial Engineering and Operations Research Department, University of California, Berkeley, CA 94720, United States; Fundación Centro de Los Bosques Nativos FORECOS, Valdivia, Chile; Butamallin Research Center for Global Change, Facultad de Ciencias Agropecuarias y Forestales, Universidad de la Frontera, Temuco, Chile; Sage Insurance Holdings, LLC, La Mesa, CA, United States
推荐引用方式 GB/T 7714	Miranda A.,Carrasco J.,González M.,et al. Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires[J],2020,15(9).
APA	Miranda A..,Carrasco J..,González M..,Pais C..,Lara A..,...&Syphard A.D..(2020).Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires.Environmental Research Letters,15(9).
MLA	Miranda A.,et al."Evidence-based mapping of the wildland-urban interface to better identify human communities threatened by wildfires".Environmental Research Letters 15.9(2020).