Economic aspects of post-border weed risk management

Diversity and Distributions

Volumn 19, Issue 5-6, 2013, Pages 580-589

  Hester, Susan M ^a   Cacho, Oscar J ^a   Dane Panetta, F ^b   Hauser, Cindy E ^c  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

^b DEPARTMENT OF AGRICULTURE AND FISHERIES   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Biological invasions; Economics; Eradication; Simulation model; Weed

Indexed keywords

DECISION MAKING; ECONOMIC ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; RISK ASSESSMENT; SIMULATION; STRATEGIC APPROACH; SURVEYING; UNCERTAINTY ANALYSIS; WEED CONTROL;

AUSTRALIA;

EID: 84877332056     PISSN: 13669516     EISSN: 14724642     Source Type: Journal    
DOI: 10.1111/ddi.12053     Document Type: Article

References (35)

1. Baxter, P.W.J. & Possingham, H.P. (2011) Optimising search strategies for invasive pests: learn before you leap. Journal of Applied Ecology, 48, 86-95.
2. Blackwood, J., Hastings, A. & Costello, C. (2010) Cost-effective management of invasive species using linear-quadratic control. Ecological Economics, 69, 519-527.
3. Bogich, T. & Shea, K. (2008) A state-dependent model for the optimal management of an invasive metapopulation. Ecological Applications, 18, 748-761.
4. Burgman, M.A., McCarthy, M.A., Robinson, A., Hester, S.M., McBride, M.F., Elith, J. & Panetta, F.D. (2013) Improving decisions for invasive species management: reformulation and extensions of the Panetta-Lawes eradication graph. Diversity and Distributions, 19, 603-607.
5. Cacho, O.J. & Hester, S.M. (2011) Deriving efficient frontiers for effort allocation in the management of invasive species. Australian Journal of Agricultural and Resource Economics, 55, 72-89.
6. Cacho, O.J., Spring, D., Pheloung, P. & Hester, S. (2006) Evaluating the feasibility of eradicating an invasion. Biological Invasions, 8, 903-917.
7. Cacho, O.J., Hester, S.M. & Spring, D. (2007) Applying search theory to determine the feasibility of eradicating an invasive population in natural environments. Australian Journal of Agricultural and Resource Economics, 51, 425-433.
8. Cacho, O.J., Wise, R., Hester, S. & Sinden, J. (2008) Bioeconomic modeling for control of weeds in natural environments. Ecological Economics, 65, 559-568.
9. Cacho, O.J., Hester, S., Spring, D. & Mac Nally, R. (2010) Allocating surveillance effort in the management of invasive species: a spatially-explicit model. Environmental Modelling and Software, 25, 444-454.
10. Chadès, I., Martin, T.G., Nicol, S., Burgman, M.A., Possingham, H.P. & Buckley, Y.M. (2011) General rules for managing and surveying networks of pests, diseases and endangered species. Proceedings of the National Academy of Sciences, 108, 8323-8328.
11. Conran, J.M. & Clark, C.W. (1987) Natural resource economics: notes and problems. Cambridge University Press, Cambridge, UK.
12. Dodd, J. (1990). The role of ecological studies in assessing weed eradication programmes. Proceedings of the ninth Australian Weeds Conference (ed. by J.W. Heap), pp. 416-426. Crop Science Society of South Australia Inc, Adelaide, Australia.
13. Epanchin-Neill, R.S. & Hastings, A. (2010) Controlling established invaders: integrating economics and spread dynamics to determine optimal management. Ecology Letters, 13, 528-541.
14. Fox, J.C., Buckley, Y.M., Panetta, F.D., Bourgoin, J. & Pullar, D. (2009) Surveillance protocols for management of invasive plants: modelling Chilean needle grass (Nassella neesiana) in Australia. Diversity & Distributions, 15, 577-589.
15. Gupta, A.K. & Nadarajah, S. (2004) Handbook of beta distribution and its applications. Marcel Dekker, Inc, NY, USA.
16. Harris, S. & Timmins, S.M. (2009) Estimating the benefit of early control of all newly naturalised plants. Science for Conservation, 292, 25pp.
17. Hauser, C.E. & McCarthy, M.A. (2009) Streamlining 'search and destroy': cost-effective surveillance for invasive species management. Ecology Letters, 12, 683-692.
18. Hester, S.M., Brooks, S.J., Cacho, O.J. & Panetta, F.D. (2010) Applying a simulation model to the management of an infestation of Miconia (Miconia calvescens) in the wet tropics of Australia. Weed Research, 50, 269-279.
19. Kompas, T., Che, N. & Ha, P.V. (2009) An optimal surveillance measure against foot-and-mouth disease in the United States. Australian Centre for Biosecurity and Environmental Economics, Australian National University, Canberra.
20. Leung, B., Cacho, O. & Spring, D. (2010) Searching for non-indigenous species: rapidly delimiting the invasion boundary. Diversity and Distributions, 16, 451-460.
21. Moore, J.L., Runge, M.C., Webber, B.L. & Wilson, J.R.U. (2011a) Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty. Diversity and Distributions, 17, 1047-1059.
22. Moore, J.L., Hauser, C.E., Bear, J.L., Williams, S.G. & McCarthy, M.A. (2011b) Estimating detection-effort curves for plants using search experiments. Ecological Applications, 21, 601-607.
23. Panetta, F.D. (2009) Weed eradication - an economic perspective. Invasive Plant Science and Management, 2, 360-368.
24. Panetta, F.D. & Cacho, O.J. (2012) Beyond fecundity control: which weeds are most containable? Journal of Applied Ecology, 49, 311-321.
25. Panetta, F.D. & Lawes, R. (2005) Evaluation of weed eradication programs: the delimitation of extent. Diversity and Distributions, 11, 435-442.
26. Panetta, F.D., Cacho, O.J., Hester, S. & Sims-Chilton, N. (2011a) Estimating and influencing the duration of weed eradication programmes. Journal of Applied Ecology, 48, 980-988.
27. Panetta, F.D., Cacho, O.J., Hester, S.M. & Sims-Chilton, N.M. (2011b) Estimating the duration and cost of weed eradication programs. Island Invasives: Eradication and Management. Proceedings of the international conference on island invasives (ed. by C.R. Veitch, M.N. Clout and D.R. Towns). IUCN (International Union for Conservation of Nature), Gland, Switzerland and CBB (Centre for Biodiversity and Biosecurity), Auckland, New Zealand.
28. Potts, J.M., Cox, M.J., Barkley, P., Christian, R., Telford, G. & Burgman, M.A. (2013) Model-based search strategies for plant diseases: a case-study using citrus canker (Xanthomonas citri). Diversity and Distributions, 19, 590-602.
29. Regan, T.J., McCarthy, M.A., Baxter, P.W.J., Panetta, F.D. & Possingham, H.P. (2006) Optimal eradication: when to stop looking for an invasive plant. Ecology Letters, 9, 759-766.
30. Rout, T.M., Salomon, Y. & McCarthy, M.A. (2009a) Using sighting records to declare eradication of an invasive species. Journal of Applied Ecology, 46, 110-117.
31. Rout, T.M., Thompson, C.J. & McCarthy, M.A. (2009b) Robust decisions for declaring eradication of invasive species. Journal of Applied Ecology, 46, 782-786.
32. Sadler, R.J., Florec, V., White, B. & Dominiak, B.C. (2011) Calibrating a jump-diffusion model of an endemic invasive: Metamodels, statistics and Qfly. MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, Perth Australia, pp. 2549-2555.
33. Sharov, A.A. & Liebhold, A.M. (1998) Bioeconomics of managing the spread of exotic pests species with barrier zones. Ecological Applications, 8, 833-845.
34. Sinden, J.A. & Thampapillai, D.J. (1995) Introduction to benefit-cost analysis. Longman, Melbourne.
35. Yokomizo, H., Possingham, H.P., Thomas, M.B. & Buckley, Y. (2009) Managing the impact of invasive species: the value of knowing the density-impact curve. Ecological Applications, 19, 376-386.