Applying search theory to determine the feasibility of eradicating an invasive population in natural environments
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- Oscar J. Cacho & Susan Hester & Daniel Spring, 2007. "Applying search theory to determine the feasibility of eradicating an invasive population in natural environments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 425-443, December.
References listed on IDEAS
- 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.
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- Cacho, Oscar J. & Hester, Susan M., 2011. "Deriving efficient frontiers for effort allocation in the management of invasive species," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), March.
- Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.
- Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
- Chalak, Morteza & Pannell, David J., 2012. "Optimal control of a stochastic biological invasion," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124373, Agricultural and Applied Economics Association.
- Florec, Veronique & Sadler, Rohan J. & White, Ben & Dominiak, Bernie C., 2013. "Choosing the battles: The economics of area wide pest management for Queensland fruit fly," Food Policy, Elsevier, vol. 38(C), pages 203-213.
More about this item
Keywordsbioeconomics; invasive species; operations research; population dynamics; weed control; Resource /Energy Economics and Policy;
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