Optimising weed control by considering disturbance
Contribuinte(s) |
van Klinken, R.D. Osten, V.A. Panetta, F.D. Scanlan, J.C. |
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Data(s) |
2008
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland Weeds Society |
Relação |
http://eprints.qut.edu.au/53707/2/53707.pdf http://www.caws.org.au/awc/2008/awc200813791.pdf 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. |
Direitos |
Copyright 2008 Please consult the authors |
Fonte |
School of Earth, Environmental & Biological Sciences; Science & Engineering Faculty |
Palavras-Chave | #Disturbance #Weed control #Seed bank #Stochastic dynamic programming #Mimosa pigra |
Tipo |
Conference Paper |