DOI: 10.1016/j.foreco.2016.11.004
Scopus记录号: 2-s2.0-85002153480
论文题名: Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce
作者: Foster A.C. ; Walter J.A. ; Shugart H.H. ; Sibold J. ; Negron J.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 384 起始页码: 347
结束页码: 357
语种: 英语
英文关键词: Bark beetle
; Hyperspectral
; Insect infestation
; Landsat
; Shortwave infrared
; Vegetation stress
Scopus关键词: Decision trees
; Ecosystems
; Managers
; Reflection
; Satellite imagery
; Vegetation
; Bark beetle
; HyperSpectral
; Insect infestations
; LANDSAT
; Short wave infrared
; Vegetation stress
; Forestry
; beetle
; ecosystem service
; evergreen tree
; foliage
; infrared radiation
; Landsat thematic mapper
; mortality
; parasite infestation
; pest outbreak
; satellite imagery
; shortwave radiation
; spectral analysis
; spectral reflectance
; subalpine environment
; vegetation index
; Colorado
; United States
; Wyoming
; Coleoptera
; Dendroctonus rufipennis
; Hexapoda
; Picea
; Picea engelmannii
; Scolytinae
英文摘要: Spruce beetle (Dendroctonus rufipennis (Kirby)) outbreaks cause widespread mortality of Engelmann spruce (Picea engelmannii (Parry ex Engelm)) within the subalpine forests of the western United States. Early detection of infestations could allow forest managers to mitigate outbreaks or anticipate a response to tree mortality and the potential effects on ecosystem services of interest. However, the subtle changes in the foliage of infested spruce make early detection difficult. An experiment was conducted in southern Colorado to determine important wavelengths for detecting early-stage (i.e. recently infested) spruce beetle infestation in Engelmann spruce. Spectral reflectance from non-infested and recently infested spruce needles were obtained using the ASDi Field-Spec Pro spectroradiometer. After pre-processing, random forest analysis was used to identify hyperspectral bands and aggregations of hyperspectral bands corresponding to Landsat TM bands and vegetation indices that effectively discriminated between non-infested and infested trees. Results show that the shortwave infrared region of the electromagnetic spectrum was a key area for detecting early stages of spruce beetle infestation, likely due to the effects of beetle infestation on water transport within Engelmann spruce. The strong discriminability of bands in the shortwave infrared region indicates a potential for this spectral region to be used to detect early-stage spruce beetle infestation over larger areas using multispectral satellite imagery. In a preliminary trial, we found that a time series of reflectance in Landsat TM band 7 (shortwave infrared) was strongly correlated with the progression through time of a spruce beetle outbreak in southern Wyoming. These findings suggest that multispectral indicators of early-stage spruce beetle outbreak can be developed. These indicators are needed to better understand spatiotemporal dynamics of spruce beetle outbreaks, and can be used by forest managers to detect early stages of spruce beetle infestation and to potentially mitigate some spruce mortality. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64564
Appears in Collections: 影响、适应和脆弱性
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作者单位: University of Virginia, 296 Clark Hall, 291 McCormick Rd., Charlottesville, VA, United States; Virginia Commonwealth University, 1000 W. Cary Street, Richmond, VA, United States; University of Kansas, 2101 Constant Ave., Lawrence, KS, United States; University of Virginia, 376 Clark Hall, 291 McCormick Rd, Charlottesville, VA, United States; Colorado State University, 1787 Campus Delivery, CSU, Fort CollinsCO, United States; USDA Forest Service, Rocky Mountain Research Station, 240 West Prospect, Fort CollinsCO, United States
Recommended Citation:
Foster A.C.,Walter J.A.,Shugart H.H.,et al. Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce[J]. Forest Ecology and Management,2017-01-01,384