DOI: 10.1016/j.jag.2017.04.004
Scopus记录号: 2-s2.0-85026224747
论文题名: Remote sensing of forest insect disturbances: Current state and future directions
作者: Senf C ; , Seidl R ; , Hostert P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 60 起始页码: 49
结束页码: 60
语种: 英语
英文关键词: Bark beetle
; Biotic disturbance
; Defoliation
; Forest health
; Insect disturbance
; Insect outbreak
Scopus关键词: beetle
; biotic factor
; defoliation
; environmental disturbance
; pest outbreak
; remote sensing
; Hexapoda
; Scolytinae
英文摘要: Insect disturbance are important agents of change in forest ecosystems around the globe, yet their spatial and temporal distribution and dynamics are not well understood. Remote sensing has gained much attention in mapping and understanding insect outbreak dynamics. Consequently, we here review the current literature on the remote sensing of insect disturbances. We suggest to group studies into three insect types: bark beetles, broadleaved defoliators, and coniferous defoliators. By so doing, we systematically compare the sensors and methods used for mapping insect disturbances within and across insect types. Results suggest that there are substantial differences between methods used for mapping bark beetles and defoliators, and between methods used for mapping broadleaved and coniferous defoliators. Following from this, we highlight approaches that are particularly suited for each insect type. Finally, we conclude by highlighting future research directions for remote sensing of insect disturbances. In particular, we suggest to: 1) Separate insect disturbances from other agents; 2) Extend the spatial and temporal domain of analysis; 3) Make use of dense time series; 4) Operationalize near-real time monitoring of insect disturbances; 5) Identify insect disturbances in the context of coupled human-natural systems; and 6) Improve reference data for assessing insect disturbances. Since the remote sensing of insect disturbances has gained much interest beyond the remote sensing community recently, the future developments identified here will help integrating remote sensing products into operational forest management. Furthermore, an improved spatiotemporal quantification of insect disturbances will support an inclusion of these processes into regional to global ecosystem models. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79958
Appears in Collections: 气候变化事实与影响
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作者单位: Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin, Germany; Institute for Silviculture, University of Natural Resources and Life Sciences (BOKU) Vienna, Peter-Jordan-Str. 82, Vienna, Austria; Integrative Research Institute on Transformation of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin, Germany
Recommended Citation:
Senf C,, Seidl R,, Hostert P. Remote sensing of forest insect disturbances: Current state and future directions[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,60