Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data
文献类型：期刊论文
| 作者 | Chen, Gang1; He, Yinan1; De Santis, Angela2; Li, Guosheng3 ; Cobb, Richard4; Meentemeyer, Ross K.5,6
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| 刊名 | REMOTE SENSING OF ENVIRONMENT
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| 出版日期 | 2017-06-15 |
| 卷号 | 195页码:218-229 |
| 关键词 | Forest disease Burn severity Object-based filter Landsat KOMPSAT-2 Interacting disturbances |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2017.04.005 |
| 通讯作者 | Chen, Gang(gang.chen@uncc.edu) |
| 英文摘要 | Environmental 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. |
| WOS关键词 | SUDDEN OAK DEATH ; BEETLE OUTBREAKS CHANGE ; LODGEPOLE PINE FORESTS ; REMOTELY-SENSED DATA ; ACTIVE CROWN FIRE ; BURN SEVERITY ; PHYTOPHTHORA-RAMORUM ; LANDSCAPE DYNAMICS ; QUICKBIRD IMAGERY ; TREE MORTALITY |
| 资助项目 | National 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 |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000402355700017 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63544]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Gang |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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