Geographic analysis of forest health indicators using spatial scan statistics

被引：47

作者：

Coulston, JW

Riitters, KH

机构：

[1] US Forest Serv, Forestry Sci Lab, So Res Stn, Res Triangle Pk, NC 27709 USA

[2] N Carolina State Univ, Dept Forestry, So Res Stn, Forestry Sci Lab, Res Triangle Pk, NC 27709 USA

来源：

ENVIRONMENTAL MANAGEMENT | 2003年 / 31卷 / 06期

关键词：

monitoring; spatial analysis; spatial clusters; forest fragmentation; forest insect; forest disease; hotspots;

D O I：

10.1007/s00267-002-0023-9

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Geographically explicit analysis tools are needed to assess forest health indicators that are measured over large regions. Spatial scan statistics can be used to detect spatial or spatiotemporal clusters of forests representing hotspots of extreme indicator values. This paper demonstrates the approach through analyses of forest fragmentation indicators in the southeastern United States and insect and pathogen indicators in the Pacific Northwest United States. The scan statistic detected four spatial clusters of fragmented forest including a hotspot in the Piedmont and Coastal Plain region. Three recurring clusters of insect and pathogen occurrence were found in the Pacific Northwest. Spatial scan statistics are a powerful new tool that can be used to identify potential forest health problems.

引用

页码：764 / 773

页数：10

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