Regression models were developed to predict relative abundance of annual broomweeds on a Texas rangeland as a function of selected climatic factors. Based on 16 years' data, above-average precipitation in May and below-average daily maximum temperatures in April were the principal climatic factors most closely associated with heavy infestations of annual broomweeds for any given year (R2 = 0.902). Similar models developed from bimonthly and trimonthly averages were less precise than monthly averages for predicting relative abundance of annual broomweed. 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.