Title: Applying a simulation model to the management of an infestation of Miconia calvescens in the wet tropics of Australia
Abstract: A simulation model that combines biological, search and economic components is applied to the eradication of a Miconia calvescens infestation at El Arish in tropical Queensland, Australia. Information on the year M. calvescens was introduced to the site, the number of plants controlled and the timing of control, is used to show that currently there could be M. calvescens plants remaining undetected at the site, including some mature plants. Modelling results indicate that the eradication programme has had a significant impact on the population of M. calvescens, as shown by simulated results for uncontrolled and controlled populations. The model was also used to investigate the effect of changing search effort on the cost of and time to eradication. Control costs were found to be negligible over all levels of search effort tested. Importantly, results suggest eradication may be achieved within several decades, if resources are increased slightly from their current levels and if there is a long-term commitment to funding the eradication programme. [Hester SM, Brooks SJ, Cacho OJ & Panetta FD (2010). Applying a simulation model to the management of an infestation of Miconia calvescens in the wet tropics of Australia. Weed Research 50, 269 -279.
Keywords: invasive species eradication cost economics search theory predictive modelling matrix model
Article: WeedsNews1391 (permalink) Date: 25 November 2010; 10:32:34 AM AEDT