DOI: 10.1016/j.foreco.2016.01.013
Scopus记录号: 2-s2.0-84957557959
论文题名: Scale effects in survey estimates of proportions and quantiles of per unit area attributes
作者: Magnussen S. ; Mandallaz D. ; Lanz A. ; Ginzler C. ; Næsset E. ; Gobakken T.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 364 起始页码: 122
结束页码: 129
语种: 英语
英文关键词: Area proportions
; Quantiles
; Scaled area proportions
; Scaled quantiles
; Spatial autocorrelation
; Spatial support
Scopus关键词: Autocorrelation
; Forestry
; Area proportions
; Auxiliary variables
; Forest inventory
; Policy developers
; Quantiles
; Sampling distribution
; Scaled quantiles
; Spatial autocorrelations
; Surveys
英文摘要: Quantiles and proportions in a sampling distribution of a per unit area attribute (Y) depend on the spatial support (area) of employed survey plots. This is a nuisance for managers, and policy developers; in particular when the underlying data have been collected with different spatial supports. Users of these statistics may wish to calibrate their estimates to a common scale of spatial support. The easiest way to do this is through scaling to a common plot size. We demonstrate a statistical method for upscaling. The method is illustrated in the context of a design-based forest inventory of a target attribute Y with a census of a co-located vector of auxiliary variables (X) correlated with Y. Two case studies from Norway and Switzerland confirmed significant and practically important scale effects in quantiles and proportions of above ground live tree biomass (Mg ha-1) and stem volume (m3 ha-1). Upscaling requires an estimate of the spatial autocorrelation of Y given X at the scale of the original spatial support. We present an expedient method to this end. Our method affords estimation of scaled quantiles and proportions and assures consistency of sampling distribution across scales. © 2016 Published by Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65051
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Natural Resources Canada, Canadian Forest Service, 506 West Burnside Road, Victoria, BC, Canada; Chair of Land Use Engineering, ETH Zurich, Zurich, Switzerland; Swiss Federal Research Institute, WSL, Zürcherstrasse 111, Birmensdorf ZH, Switzerland; Norwegian University of Life Sciences, P.O. Box 5003, Ås, Norway
Recommended Citation:
Magnussen S.,Mandallaz D.,Lanz A.,et al. Scale effects in survey estimates of proportions and quantiles of per unit area attributes[J]. Forest Ecology and Management,2016-01-01,364