Economics of controlling a spreading environmental weed
Weeds can cause significant problems to natural ecosystems. Although there have been numerous studies on the economics of weed control, relatively few of these studies have focused on natural ecosystems. This paper addresses this gap in the literature by assessing the cost-effectiveness of a comprehensive range of control strategies for blackberry (Rubus anglocandicans) in natural environments in Australia. We developed a stochastic dynamic simulation model and a deterministic dynamic optimisation model. The stochastic model calculates the expected net present value (NPV) of a range of control strategies, including any combination of treatment options. The optimisation model identifies the treatment combination that maximises NPV. Both models represent the costs and efficacies of control options over 25 years. The results indicate that using rust (Phragmidium violaceum) as a biological control agent only marginally increases NPV and excluding rust does not affect the optimal choice of other control options. The results also show for a wide range of parameter values that a strategy which combines the herbicide grazon (Triclopyre and picloram) and mowing is optimal. If chemical efficacy decreases by 20 percent it becomes optimal to include grazing blackberry by goats in the control strategy.
|Date of creation:||26 Jun 2011|
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- Higgins, Steven I. & Turpie, Jane K. & Costanza, Robert & Cowling, Richard M. & Le Maitre, Dave C. & Marais, Christo & Midgley, Guy F., 1997. "An ecological economic simulation model of mountain fynbos ecosystems: Dynamics, valuation and management," Ecological Economics, Elsevier, vol. 22(2), pages 155-169, August.
- Mark Morrison & Jeff Bennett, 2004.
"Valuing New South Wales rivers for use in benefit transfer,"
Australian Journal of Agricultural and Resource Economics,
Australian Agricultural and Resource Economics Society, vol. 48(4), pages 591-611, December.
- Morrison, Mark & Bennett, Jeffrey W., 2004. "Valuing New South Wales rivers for use in benefit transfer," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(4), December.
- Pannell, David J. & Stewart, Vanessa & Bennett, Anne & Monjardino, Marta & Schmidt, Carmel & Powles, Stephen B., 2004. "RIM: a bioeconomic model for integrated weed management of Lolium rigidum in Western Australia," Agricultural Systems, Elsevier, vol. 79(3), pages 305-325, March.
- Odom, Doreen I. S. & Cacho, Oscar J. & Sinden, J. A. & Griffith, Garry R., 2003. "Policies for the management of weeds in natural ecosystems: the case of scotch broom (Cytisus scoparius, L.) in an Australian national park," Ecological Economics, Elsevier, vol. 44(1), pages 119-135, February.
- C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
- Bulte, Erwin H. & van Kooten, G. Cornelis, 1999. "Metapopulation dynamics and stochastic bioeconomic modeling," Ecological Economics, Elsevier, vol. 30(2), pages 293-299, August. Full references (including those not matched with items on IDEAS)
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