DOI: 10.1016/j.foreco.2013.12.019
Scopus记录号: 2-s2.0-84891687892
论文题名: Spatial analysis facilitates invasive species risk assessment
作者: Liang L. ; Clark J.T. ; Kong N. ; Rieske L.K. ; Fei S.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 315 起始页码: 22
结束页码: 29
语种: 英语
英文关键词: Hemlock woolly adelgid
; Hotspot analysis
; Risk assessment
; Species distribution modeling
Scopus关键词: Ensemble modeling
; Hemlock woolly adelgid
; Hot spot
; Mahalanobis distances
; Management decision-making
; Prediction uncertainty
; Spatial statistics
; Species distribution modeling
; Decision making
; Maximum entropy methods
; Risk analysis
; Uncertainty analysis
; Risk assessment
; decision making
; entropy
; invasive species
; plant
; probability
; risk assessment
; spatial analysis
英文摘要: Regional scale quantitative invasion risk analyses are needed to allow early detection and rapid response in order to effectively control the spread of exotic invasion. Most of the current invasion risk analyses are qualitative and ad hoc based. In this study, we used a spatial statistics based framework to assess the invasion risks of hemlock woolly adelgid (Adelges tsugae) with the following major steps: (1) invasion probability was first predicted by two widely used spatial statistics tools, maximum entropy (Maxent) and Mahalanobis distance (MD), based on known adelgid infestation locations and a set of environmental and anthropogenic related factors; (2) an ensemble of the above two models and a multi-threshold approach were employed to reduce prediction uncertainties; and (3) a spatial hotspot analysis were applied to enhance invasion prevention and management decision making. Among the factors investigated, variables representing corridors (e.g., trails and railroads) that are inadvertently spreading adelgid were important for the prediction of adelgid invasion. Large portion of the hemlock forests in the study area had a high adelgid invasion probability. The hotspot analysis based on the ensemble model showed three major clustered areas with high adelgid infestation probability. Our study demonstrated the feasibility of regional-scale quantitative invasion risk assessment with the application of a spatial statistics based framework, which can be used for effective and proactive invasion prevention and management. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66118
Appears in Collections: 影响、适应和脆弱性
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作者单位: University of Kentucky, Department of Geography, Lexington, KY 40506, United States; University of Kentucky, Department of Entomology, Lexington, KY 40546, United States; University of Kentucky, Department of Forestry, Lexington, KY 40546, United States; Purdue University Libraries, West Lafayette, IN 47907, United States; Purdue University, Department of Forestry and Natural Resources, West Lafayette, IN 47907, United States
Recommended Citation:
Liang L.,Clark J.T.,Kong N.,et al. Spatial analysis facilitates invasive species risk assessment[J]. Forest Ecology and Management,2014-01-01,315