Assessing the impact of emerging forest disease on wildfire using Landsat and KOMPSAT-2 data

被引:25
|
作者
Chen, Gang [1 ]
He, Yinan [1 ]
De Santis, Angela [2 ]
Li, Guosheng [3 ]
Cobb, Richard [4 ]
Meentemeyer, Ross K. [5 ,6 ]
机构
[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 Arenas, 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
基金
美国国家科学基金会;
关键词
Forest disease; Burn severity; Object-based filter; Landsat; KOMPSAT-2; Interacting disturbances; BEETLE OUTBREAKS CHANGE; ACTIVE CROWN FIRE; SUDDEN OAK DEATH; BURN SEVERITY; PHYTOPHTHORA-RAMORUM; LANDSCAPE DYNAMICS; TREE MORTALITY; PATTERN; IMAGES; LIDAR;
D O I
10.1016/j.rse.2017.04.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:218 / 229
页数:12
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