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Long-term strategy for the statistical design of a forest health monitoring systemAuthor(s): Hans T. Schreuder; Raymond L. Czaplewski
Source: Environmental Monitoring and Assessment. 27: 81-94.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionA conceptual framework is given for a broad-scale survey of forest health that accomplishes three objectives: generate descriptive statistics; detect changes in such statistics; and simplify analytical inferences that identify, and possibly establish cause-effect relationships. Our paper discusses the development of sampling schemes to satisfy these three objectives, but without any design restrictions implied by existing sample surveys. A general vision of a desirable future system will increase chances that short-term decisions will lead to better environmental monitoring systems in the long term.
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CitationSchreuder, Hans T.; Czaplewski, Raymond L. 1993. Long-term strategy for the statistical design of a forest health monitoring system. Environmental Monitoring and Assessment. 27: 81-94.
Keywordsforest health monitoring, descriptive statistics, cause-effect relationships
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