Simple rules to contain an invasive species with a complex life cycle and high dispersal capacity

Journal of Applied Ecology

Volumn 49, Issue 1, 2012, Pages 52-62

  Pichancourt, Jean Baptiste ^a   Chadès, Iadine ^a   Firn, Jennifer ^b   van Klinken, Rieks D ^a   Martin, Tara G ^a  

^a CSIRO   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Cost effective control; Decision theory; Detection; Eradication; Matrix population model; Mesquite; Search; Source sink; Stochastic dynamic programming; Weed

Indexed keywords

COST-BENEFIT ANALYSIS; DECISION ANALYSIS; DICOTYLEDON; EMPIRICAL ANALYSIS; INVASIVE SPECIES; LIFE CYCLE; POPULATION MODELING; RESOURCE ALLOCATION; SEED DISPERSAL; SENSITIVITY ANALYSIS; SOURCE-SINK DYNAMICS; STOCHASTICITY; WEED CONTROL;

AUSTRALIA;

FABACEAE; PROSOPIS;

EID: 84855963291     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/j.1365-2664.2011.02093.x     Document Type: Article

References (46)

1. Bogich, T.L., Liebhold, A.M. & Shea, K. (2008) To sample or eradicate? A cost-minimization model for monitoring and managing an invasive species Journal of Applied Ecology, 45, 1134-1142.
2. Buckley, Y.M., Brockerhoff, E., Langer, L., Ledgard, N., North, H. & Rees, M. (2005) Slowing down a pine invasion despite uncertainty in demography and dispersal. Journal of Applied Ecology, 42, 1020-1030.
3. Buhle, E.R., Margolis, M. & Ruesink, J.L. (2005) Bang-for-buck: cost-effective control of invasive species with different life histories. Ecological Economics, 52, 355-366.
4. Campbell, S.D. & Grice, A.C. (2000) Weed biology - a foundation for weed management. Tropical Grasslands, 34, 271-279.
5. Caswell, H. (2001) Matrix Population Models: Construction, Analysis and Interpretation, 2nd edn. Sinauer Associates, Sunderland, Massachusetts, USA.
6. Chadès, I., McDonald-Madden, E., McCarthy, M.A., Wintle, B., Linkie, M. & Possingham, H.P. (2008) When to stop managing or surveying cryptic threatened species. Proceedings of the National Academy of Sciences of the United States of America, 105, 13936-13940.
7. Chadès, I., Cros, M.-J., Garcia, F. & R., S. (2010) Markov Decision Process (MDP) Toolbox for MATLAB. .
8. Chadès, I., Martin, T.G., Nicol, S., Burgman, M., Possingham, H.P. & Buckley, Y. (2011) General rules for managing and surveying networks of pests, diseases and endangered species. Proceedings of the National Academy of Sciences, 108, 8323-8328.
9. Englund, G. & Hambäck, P.A. (2004a) Scale dependence of emigration rates. Ecology, 85, 320-327.
10. Epanchin-Niell, R.S. & Hastings, A. (2010) Controlling established invaders: integrating economics and spread dynamics to determine optimal management. Ecology Letters, 13, 528-541.
11. Firn, J., Rout, T., Possingham, H. & Buckley, Y.M. (2008) Managing beyond the invader: manipulating disturbance of natives simplifies control efforts. Journal of Applied Ecology, 45, 1143-1151.
12. Fleming, P.J.S. & Tracey, J.P. (2008) Aerial surveys of wildlife: theory and applications - preface. Wildlife Research, 35, iii-iv.
13. Grice, A.C. (2006) The impacts of invasive plant species on the biodiversity of Australian rangelands. Rangeland Journal, 28, 27-35.
14. Hastings, A., Hall, R. & Taylor, C. (2006) A simple approach to optimal control of invasive species. Theoretical Population Biology, 70, 431-435.
15. Hauser, C.E. & McCarthy, M.A. (2009) Streamlining 'search-and-destroy': cost-effective surveillance for invasive species management. Ecology Letters, 12, 683-692.
16. Hauser, C.E., Runge, M.C., Cooch, E.G., Johnson, F.A. & Harvey, W.F. (2007) Optimal control of Atlantic population Canada geese. Ecological Modelling, 201, 27-36.
17. Keith, D.A., Martin, T.G., McDonald-Madden, E. & Walters, C. (2011) Uncertainty and adaptive management for biodiversity conservation. Biological Conservation, 144, 175-178.
18. van Klinken, R. & Campbell, S. (2001) The biology of Australian weeds. 37. Prosopis L. species. Plant Protection Quarterly, 16, 2-20.
19. van Klinken, R.D. & Campbell, S. (2009) Prosopis L. species. The Biology of Australian Weeds, 3, 238-273.
20. van Klinken, R., Graham, J. & Flack, L. (2006) Population ecology of hybrid mesquite (Prosopis Species) in Western Australia: how does it differ from native range invasions and what are the implications for impacts and management? Biological Invasions, 8, 727-741.
21. van Klinken, R., Shepherd, D., Parr, R., Robinson, T. & Anderson, L. (2007) Mapping mesquite (Prosopis) distribution and density using visual aerial surveys. Rangeland Ecology & Management, 60, 408-416.
22. Kotani, K., Ishii, H., Matsuda, H. & Ikeda, T. (2009) Invasive species management in two-patch environments: agricultural damage control in the raccoon (Procyon lotor) problem, Hokkaido, Japan. Population Ecology, 51, 493-504.
23. Lockwood, J.L., Cassey, P. & Blackburn, T. (2005) The role of propagule pressure in explaining species invasions. Trends in Ecology & Evolution, 20, 223-228.
24. Lowe, S., Browne, M., Boudjelas, S. & De Poorter, M. (2000) 100 of the world's worst invasive alien species a selection from the global invasive species database. Published by ISSG, a specialist group of SSC of the IUCN, 12 pp. In Aliens, 12.
25. Martin, T.G., Campbell, S. & Grounds, S. (2006) Weeds of Australian rangelands. Rangeland Journal, 28, 3-26.
26. Martin, T.G. & van Klinken, R. (2006) Value for money? Investment in weed management in Australian rangelands The Rangeland Journal, 28, 63-75.
27. Mehta, S.V., Haight, R.G., Homans, F.R., Polasky, S. & Venette, R.C. (2007) Optimal detection and control strategies for invasive species management. Ecological Economics, 61, 237-245.
28. Mooney, H. & International Council for Science (2005) Invasive Alien Species: A New Synthesis. Island press, Washington, District of Columbia, USA.
29. Moore, J., Hauser, C., Bear, J., Williams, N. & McCarthy, M. (2011) Estimating detection-effort curves for plants using search experiments. Ecological Applications, 21, 601-607.
30. Nathan, R. (2006) Long-distance dispersal of plants. Science, 313, 786.
31. Panetta, F.D. & Brooks, S.J. (2008) Evaluating Progress in Weed Eradication Programs (eds R.D. van Klinken, V.A. Osten, F.D. Panetta & J.C. Scanlan ), pp. 418-420. Queensland Weeds Society, Cairns, Queensland, Australia.
32. Puterman, M. (2005) Markov Decision Processes: Discrete Stochastic Dynamic Programming, 2nd edn. John Wiley & Sons, Inc., New York, New York, USA.
33. Ramula, S., Knight, T.M., Burns, J.H. & Buckley, Y.M. (2008) General guidelines for invasive plant management based on comparative demography of invasive and native plant populations. Journal of Applied Ecology, 45, 1124-1133.
34. Rango, A., Laliberte, A., Steele, C., Herrick, J.E., Bestelmeyer, B., Schmugge, T., Roanhorse, A. & Jenkins, V. (2006) Using unmanned aerial vehicles for rangelands: current applications and future potentials. Environmental Practice, 8, 159-168.
35. Regan, T.J., Chadès, I. & Possingham, H.P. (2011) Optimally managing under imperfect detection: a method for plant invasions. Journal of Applied Ecology, 48, 76-85.
36. 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.
37. Robinson, T.P., van Klinken, R.D. & Metternicht, G. (2008) Spatial and temporal rates and patterns of mesquite (Prosopis species) invasion in Western Australia. Journal of Arid Environments, 72, 175-188.
38. Rout, T.M., Salomon, Y. & McCarthy, M.A. (2009) Using sighting records to declare eradication of an invasive species. Journal of Applied Ecology, 46, 110-117.
39. Shea, K. & Possingham, H.P. (2000) Optimal release strategies for biological control agents: an application of stochastic dynamic programming to population management. Journal of Applied Ecology, 37, 77-86.
40. Shea, K., Sheppard, A. & Woodburn, T. (2006) Seasonal life-history models for the integrated management of the invasive weed nodding thistle Carduus nutans in Australia. Journal of Applied Ecology, 43, 517-526.
41. Shea, K., Jongejans, E., Skarpaas, O., Kelly, D. & Sheppard, A. (2010) Optimal management strategies to control local population growth or population spread may not be the same. Ecological Applications, 20, 1148-1161.
42. Simberloff, D. (2009) We can eliminate invasions or live with them. Successful management projects. Biological Invasions, 11, 149-157.
43. Thorp, J.R. & Lynch, R. (2000) The Determination of Weeds of National Significance. National Weeds Strategy Executive Committee, Launceston, Australia.
44. Travis, J.M.J. & Park, K.J. (2004) Spatial structure and the control of invasive alien species. Animal Conservation, 7, 321-330.
45. Vitelli, J.S. & Madigan, B.A. (2004) Evaluation of a hand-held burner for the control of woody weeds by flaming. Australian Journal of Experimental Agriculture, 44, 75-81.
46. Yokomizo, H., Possingham, H.P., Thomas, M.B. & Buckley, Y.M. (2009) Managing the impact of invasive species: the value of knowing the density-impact curve. Ecological Applications, 19, 376-386.