Publication Date
1993
Description
Degradation gradients due to grazing were determined from floristic data collected between January 1990. and November 1991 in the Astrebla correlation between grasslands of Longreach, abundance and Australia. condition A score linear correlation between Astrebla abundance and condition score confirmed strong confirmed linear the presence of gradients. Astrebla Degradation models were further validated by the presence of known grazing gradients. A model constructed from data collected in late to mid summer was then used to illustrate changes in the condition of 4 monitoring sites. A site ;initially in "poorer" condition, and an overgrazed site did not markedly improve in condition. It is suggested that the method could be used to understand better the effects of grazing and climate on floristic composition, thus providing a tool for grassland condition assessment and monitoring.
Citation
Phelps, D G.; Bushell, J J.; Bosch, O.J H.; Kent, D J.; and Beale, I F., "A System for Objective Condition Assessment of Astrebla spp. Pastures at the Paddock Level for Better Grazing Management" (2025). IGC Proceedings (1993-2023). 20.
https://uknowledge.uky.edu/igc/1993/session52/20
Included in
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A System for Objective Condition Assessment of Astrebla spp. Pastures at the Paddock Level for Better Grazing Management
Degradation gradients due to grazing were determined from floristic data collected between January 1990. and November 1991 in the Astrebla correlation between grasslands of Longreach, abundance and Australia. condition A score linear correlation between Astrebla abundance and condition score confirmed strong confirmed linear the presence of gradients. Astrebla Degradation models were further validated by the presence of known grazing gradients. A model constructed from data collected in late to mid summer was then used to illustrate changes in the condition of 4 monitoring sites. A site ;initially in "poorer" condition, and an overgrazed site did not markedly improve in condition. It is suggested that the method could be used to understand better the effects of grazing and climate on floristic composition, thus providing a tool for grassland condition assessment and monitoring.