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Comparison of Methods for Assessing Spatial Distribution of Trees

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Several of the more common nonrandomness measures were applied to crown maps of 48-acre tracts from five forest types of the Pacific Northwest plus four computer-redistributed populations with specified spatial distributions generated from each tract. The nonrandomness measures were compared on the basis of relative accuracy, relative sensitivity, and practicality. Results indicate that Hopkins' coefficient of aggregation was an unsatisfactory measure. The nearest neighbor measure and Holgate's ratio and correlation tests were incapable of detecting clustering characteristics. The remaining three measures studied performed satisfactorily. Of these, the point-to-plant distance measure performed best. Forest Sci. 16:312-317.

Keywords: Quadrat method

Document Type: Journal Article

Affiliations: Research Scientist, Forest Research Laboratory, Dep. of Fisheries and Forestry, Canadian Forestry Serv., Sault Ste. Marie, Ontario

Publication date: September 1, 1970

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