Comparison of Methods for Assessing Spatial Distribution of Trees
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.
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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: 1970-09-01
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- 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.
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