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    Description

    A 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.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Schreuder, 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.

    Keywords

    forest health monitoring, descriptive statistics, cause-effect relationships

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https://www.fs.usda.gov/treesearch/pubs/34352