This paper introduces a new method of estimating plant biomass from a series of randomly located quadrats. A mixture of the binomial and lognormal distributions provide a more realistic probability density function than the commonly used normal distribution. Point and interval estimators are derived using the method of Maximum Likelihood (ML). Example calculations illustrate the method. 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.