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Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data
Chen, Gang1; He, Yinan1; De Santis, Angela2; Li, Guosheng3; Cobb, Richard4; Meentemeyer, Ross K.5,6
2017-06-15
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume195Pages:218-229
Corresponding AuthorChen, Gang(gang.chen@uncc.edu)
AbstractEnvironmental disturbance regimes are more frequently being altered by historically novel events and disturbance interactions, which may trigger reorganizations of new ecosystem states and processes. Here we examine synergies between emerging forest disease and wildfire to determine whether disease outbreak changes environmental drivers of burn severity using sudden oak death and the basin complex fire in California as a case study of novel disturbance interaction. We mapped the spatial distribution of sudden oak death tree mortality using a new object-based filter with 1.0 m resolution KOMPSAT-2 images. We integrated these data with a physical simulation model of burn severity informed by post-fire Landsat data. Model performance varied across stages of disease establishment (early, middle and late) with stronger relationships occurring during later stages of disease progression. Multiscale statistical analysis of environmental drivers of burn severity in diseased compared to healthy forests showed that sudden oak death tree mortality altered relationships between burn severity and the biophysical environment. Specifically, compared to the healthy forests, those affected by disease exhibited higher landscape heterogeneity at smaller spatial scales (e.g., 25 and 50 m), which has been associated with decreased burn severity in the literature. Our results showed the opposite pattern. That is, a disease-affected landscape comprising less connected patches and higher patch shape complexity was more likely to experience greater burn severity. This suggests that disease-caused increases in surface fuels may have reduced the landscape's resistance to fire and in turn increased burn severity in forest patches neighboring disease-impacted forests. (C) 2017 Elsevier Inc. All rights reserved.
KeywordForest disease Burn severity Object-based filter Landsat KOMPSAT-2 Interacting disturbances
DOI10.1016/j.rse.2017.04.005
WOS KeywordSUDDEN OAK DEATH ; BEETLE OUTBREAKS CHANGE ; LODGEPOLE PINE FORESTS ; REMOTELY-SENSED DATA ; ACTIVE CROWN FIRE ; BURN SEVERITY ; PHYTOPHTHORA-RAMORUM ; LANDSCAPE DYNAMICS ; QUICKBIRD IMAGERY ; TREE MORTALITY
Indexed BySCI
Language英语
Funding ProjectNational Science Foundation[EF-0622770] ; North Carolina Space Grant ; University of North Carolina at Charlotte CLAS Junior Faculty Development Award ; USDA Forest Service - Pacific Southwest Research Station ; Gordon & Betty Moore Foundation
Funding OrganizationNational Science Foundation ; North Carolina Space Grant ; University of North Carolina at Charlotte CLAS Junior Faculty Development Award ; USDA Forest Service - Pacific Southwest Research Station ; Gordon & Betty Moore Foundation
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000402355700017
PublisherELSEVIER SCIENCE INC
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63545
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Gang
Affiliation1.Univ North Carolina Charlotte, Dept Geog & Earth Sci, LRSEC, 9201 Univ City Blvd, Charlotte, NC 28223 USA
2.Ctr Reg Fdn CEQUA, 21 Mayo 1690, Punta Arena, Chile
3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources, 11A Datun Rd, Beijing 100101, Peoples R China
4.Univ Calif Davis, Dept Plant Pathol, 1 Shields Ave, Davis, CA 95616 USA
5.North Carolina State Univ, Ctr Geospatial Analyt, 3120 Jordan Hall, Raleigh, NC 27695 USA
6.North Carolina State Univ, Dept Forestry & Environm Resources, 3120 Jordan Hall, Raleigh, NC 27695 USA
Recommended Citation
GB/T 7714
Chen, Gang,He, Yinan,De Santis, Angela,et al. Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data[J]. REMOTE SENSING OF ENVIRONMENT,2017,195:218-229.
APA Chen, Gang,He, Yinan,De Santis, Angela,Li, Guosheng,Cobb, Richard,&Meentemeyer, Ross K..(2017).Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data.REMOTE SENSING OF ENVIRONMENT,195,218-229.
MLA Chen, Gang,et al."Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data".REMOTE SENSING OF ENVIRONMENT 195(2017):218-229.
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