Optimising weed control by considering disturbance
Firn, Jennifer, Rout, Tracy, Possingham, Hugh, & Buckley, Yvonne (2008) Optimising weed control by considering disturbance. In van Klinken, R.D., Osten, V.A., Panetta, F.D., & Scanlan, J.C. (Eds.) Sixteenth Australian Weeds Conference, 18-22 May 2008, Cairns Convention Centre, Cairns, Queensland, Australia.
Mounting scientific evidence suggests newly imposed disturbance and/or alterations to existing disturbances facilitate invasion. Several empirical studies have explored the role of disturbance in invasion, but little work has been done to fit current understanding into a format useful for practical control efforts. We are working towards addressing this shortcoming by developing a metapopulation model couched in a decision theory framework. This approach has allowed us to investigate how incorporating the negative effects of disturbance on native vegetation into decision-making can change optimal control measures. In this paper, we present some preliminary results.
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|Item Type:||Conference Paper|
|Keywords:||Disturbance, Weed control, Seed bank, Stochastic dynamic programming, Mimosa pigra|
|Divisions:||Current > Schools > School of Earth, Environmental & Biological Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2008 Please consult the authors|
|Deposited On:||19 Sep 2012 04:37|
|Last Modified:||21 Aug 2014 00:07|
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