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dc.contributor.authorOuimette, Charles H.
dc.date.accessioned2020-01-02T21:18:59Z
dc.date.available2020-01-02T21:18:59Z
dc.date.issued1980-03
dc.identifier.urihttp://digital.library.wisc.edu/1793/79548
dc.description.abstractA merchantable tree height regression model has been developed which can predict heights and compute resultant volumes for the northern hardwood species group. Test data was comprised of successional continuous forest inventory files supplied by a northern Wisconsin paper manufacturing company. Percent comparisons between actual (measured) and predicted heights and computed volumes were within acceptable accuracy limits. Model flexibility can accomodate multiple silvicultural consider­ at s including major regional soil groups, stocking levels, and site classifications.en_US
dc.language.isoen_USen_US
dc.publisherUniversity of Wisconsin-Stevens Point, College of Natural Resourcesen_US
dc.titleA Technique for Predicting Merchantable Tree Heights for use in Conjunction with Forest Inventoriesen_US
dc.typeThesisen_US


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