A matrix model developed from actual field data from long-term grazing intensity studies was designed to predict grazing systems dynamics. For a given pasture with acreages in several different soil types and a particular stocking rate, the model predicts plant cover and animal production changes in response to variable weather input. The model system is composed of a set of matrix equations, with specific transition matrices for each combination of soil type, grazing intensity, and weather category. Model validation tests were made. Model predictions were compared statistically with data from pastures which were independent replicates of the pastures providing the data used to derive the transition matrices. Model predictions of plant cover dynamics were consistently within the 95% confidence limits based on field data. 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.