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.

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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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ID Code: 53707
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Disturbance, Weed control, Seed bank, Stochastic dynamic programming, Mimosa pigra
ISBN: 9780646515434
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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