Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2016.11.004 |
Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce | |
Foster, Adrianna C.1; Walter, Jonathan A.2,3; Shugart, Herman H.4; Sibold, Jason5; Negron, Jose6 | |
2017-01-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT
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ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 384 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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. (C) 2016 Elsevier B.V. All rights reserved. |
英文关键词 | Bark beetle Hyperspectral Insect infestation Landsat Shortwave infrared Vegetation stress |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000390727600036 |
WOS关键词 | MOUNTAIN PINE-BEETLE ; RED-ATTACK DAMAGE ; RESOLUTION SATELLITE IMAGERY ; INDUCED TREE MORTALITY ; WESTERN UNITED-STATES ; LANDSAT-TM DATA ; HYPERSPECTRAL IMAGERY ; BRITISH-COLUMBIA ; CLIMATE-CHANGE ; PLANT STRESS |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22145 |
专题 | 气候变化 |
作者单位 | 1.Univ Virginia, 296 Clark Hall,291 McCormick Rd, Charlottesville, VA 22904 USA; 2.Virginia Commonwealth Univ, 1000 Cary St, Richmond, VA 23284 USA; 3.Univ Kansas, 2101 Constant Ave, Lawrence, KS 66047 USA; 4.Univ Virginia, 376 Clark Hall,291 McCormick Rd, Charlottesville, VA 22904 USA; 5.Colorado State Univ, 1787 Campus Delivery, Ft Collins, CO 80526 USA; 6.USDA Forest Serv, Rocky Mt Forest & Range Expt Stn, 240 West Prospect, Ft Collins, CO 80526 USA |
推荐引用方式 GB/T 7714 | Foster, Adrianna C.,Walter, Jonathan A.,Shugart, Herman H.,et al. Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce[J]. FOREST ECOLOGY AND MANAGEMENT,2017,384. |
APA | Foster, Adrianna C.,Walter, Jonathan A.,Shugart, Herman H.,Sibold, Jason,&Negron, Jose.(2017).Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce.FOREST ECOLOGY AND MANAGEMENT,384. |
MLA | Foster, Adrianna C.,et al."Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce".FOREST ECOLOGY AND MANAGEMENT 384(2017). |
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