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A Method for Mapping Vegetation Utilizing Multivariate Statistical Techniques
Author
McLendon, T.
Dahl, D. E.
Publisher
Society for Range Management
Publication Year
1983-07-01
Body

Principal component analysis and stepwise discriminant analysis were used to map the vegetation of the Pat Welder Ranch on the Texas Coastal Plains into 5 vegetation types based on relative frequency data of the major plant species. These 5 types were shown to be subdivisions of 2 plant communities previously reported for the area by researchers utilizing conventional mapping techniques. In addition to separating the 5 types and classifying the 140 sample points into their respective types, the technique provided a key for field separation of the types based on 3 vegetative variables, and provided indicator species values for rapid field identification of the types. The technique is presented as a means of mapping vegetation with a minimum of human bias, a maximum of repeatability and information content, and maximum applicability. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/3897940
Additional Information
McLendon, T., & Dahl, B. E. (1983). A method for mapping vegetation utilizing multivariate statistical techniques. Journal of Range Management, 36(4), 457-462.
ISSN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/645821
Journal Volume
36
Journal Number
4
Journal Pages
457-462
Collection
Rangeland Ecology & Management (REM)
Journal Name
Journal of Range Management