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An Ecological Climatic Classification of Michigan: A Quantitative Approach

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Abstract:

An ecological climatic classification method that emphasizes variables important to tree growth and survival was developed for Michigan. Separate classifications of weather station data were made for winter variables, growing season temperature variables, and growing season water balance variables. Each classification was based on the combined results of 6 cluster analysis procedures and principal component analysis. Hierarchical agglomerative average link cluster analysis using a modified Canberra metric as a distance measure (CANA) was generally most effective in reflecting the underlying structure of the climatic data. A single unified classification was then made combining the climatic information with physiographic patterns. Three regions and 20 districts were identified. The final classification was evaluated with canonical discriminant analysis and analyses of variance. The importance of such classifications for forest management and relationships with other climatic classification methods were discussed. For. Sci. 34(1):119-138.

Keywords: Ecological site classification; cluster analysis; discriminant analysis; forest management; quantitative climatic classification

Document Type: Journal Article

Affiliations: Professor, School of Natural Resources, University of Michigan, Ann Arbor, MI 48109-1115

Publication date: 1988-03-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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