The basic functional relation between foliage dry weight of big sagebrush plants and the independent variables, circumference and height of plant, was developed into a dry-weight prediction from prior knowledge and supporting information from a pertinent data set. Assuming the shape of the predictor's response surface is representative of similar plant populations elsewhere, scaler adjustment of the predictor to data from different locations, years, or subspecies would provide easy-to-use, unbiased estimators for these alternative applications. Also, the predictor can be used to improve consistency of the large-base estimates in double sampling with regression. 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
Scholarly peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol. 1, 1948 up to 5 years from the current year. Formerly Journal of Range Management (JRM). More recent content is available by subscription from SRM.