Optimising weed control by considering disturbance


Autoria(s): Firn, Jennifer; Rout, Tracy; Possingham, Hugh; Buckley, Yvonne
Contribuinte(s)

van Klinken, R.D.

Osten, V.A.

Panetta, F.D.

Scanlan, J.C.

Data(s)

2008

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

http://eprints.qut.edu.au/53707/

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