Get reliable rangeland science

Reliable indicators of rangeland condition enable land managers to understand the ecological dynamics surrounding their management activities and predict the consequences of their actions. However, no indicator is perfect; hence there is a need to accommodate uncertainty in the assessment of rangeland condition. This paper describes the development of a rangeland condition assessment tool for the Ironbark-Spotted Gum woodland of the Lockyer Valley, South-East Queensland, that implements both compositional and functional indicators within a Bayesian Belief Network (BBN) to accommodate uncertainty.