Consistent accuracy of the Australian weed risk assessment system across varied geographies

Diversity and Distributions

Volumn 14, Issue 2, 2008, Pages 234-242

  Gordon, Doria R ^a   Onderdonk, Daphne A ^a   Fox, Alison M ^b   Stocker, Randall K ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

Biological invasions; Invasive alien species; Non native plants; Predictive screening tools

Indexed keywords

ACCURACY ASSESSMENT; BIOLOGICAL INVASION; COMPARATIVE STUDY; GEOGRAPHICAL VARIATION; INTRODUCED SPECIES; INVASIVE SPECIES; RISK ASSESSMENT; WEED;

ASIA; AUSTRALASIA; BONIN ISLANDS; CENTRAL EUROPE; CZECH REPUBLIC; EURASIA; EUROPE; FAR EAST; FLORIDA [UNITED STATES]; HAWAII [UNITED STATES]; HAWAIIAN ISLANDS; HONSHU; JAPAN; KANTO; NEW ZEALAND; NORTH AMERICA; PACIFIC ISLANDS; PACIFIC OCEAN; TOKYO [KANTO]; UNITED STATES;

EID: 38849112004     PISSN: 13669516     EISSN: 14724642     Source Type: Journal    
DOI: 10.1111/j.1472-4642.2007.00460.x     Document Type: Article

References (34)

1. Bewick, V., Cheek, L. Ball, J. (2004) Statistics review 13: receiver operating characteristic curves. Critical Care, 8, 508 512.
2. Caley, P. Kuhnert, P.M. (2006) Application and evaluation of classification trees for screening unwanted plants. Austral Ecology, 31, 647 655.
3. Caley, P., Lonsdale, W.M. Pheloung, P.C. (2006) Quantifying uncertainty in predictions of invasiveness, with emphasis on weed risk assessment. Biological Invasions, 8, 1595 1604.
4. Daehler, C.C. Carino, D.A. (2000) Predicting invasive plants: prospects for a general screening system based on current regional models. Biological Invasions, 2, 93 102.
5. Daehler, C.C., Denslow, J.S., Ansari, S. Kuo, H. (2004) A risk-assessment system for screening out invasive pest plants from Hawaii and other Pacific islands. Conservation Biology, 18, 360 368.
6. DeLong, E.R., DeLong, D.M. Clarke-Pearson, D.L. (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 44, 837 845.
7. Elton, C.S. (1958) The ecology of invasions by animals and plants. Methuen, London.
8. Gordon, D.R., Onderdonk, D.A., Fox, A.M., Stocker, R.K. Gantz, C. (2008) Predicting Invasive Plants in Florida using the Australian Weed Risk Assessment. Invasive Plant Science and Management, 1, in press.
9. Hughes, G. Madden, L.V. (2003) Evaluating predictive models with application in regulatory policy for invasive weeds. Agricultural Systems, 76, 755 774.
10. Jefferson, L., Havens, K. Ault, J. (2004) Implementing invasive screening procedures: the Chicago Botanic Garden model. Weed Technology, 18, 1434 1440.
11. Kato, H., Hata, K., Yamamoto, H. Yoshioka, T. (2006) Effectiveness of the weed risk assessment system for the Bonin Islands. Assessment and control of biological invasion risk (ed. by F. Koike, M.N. Clout, M. Kawamichi, M. De Poorter K. Iwatsuki pp. 65 72. Shoukadoh Book Sellers, Kyoto, Japan and IUCN, Gland, Switzerland.
12. Keller, R.P., Lodge, D.M. Finnoff, D.C. (2007) Risk assessment for invasive species produces net bioeconomic benefits. Proceedings of the National Academy of Sciences USA, 104, 203 207.
13. Křivánek, M. Pyšek, P. (2006) Predicting invasions by woody species in a temperate zone: a test of three risk assessment schemes in the Czech Republic (Central Europe). Diversity and Distributions, 12, 319 327.
14. Lasko, T.A., Bhagwat, J.G., Zou, K.H. Ohno-Machado, L. (2005) The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics, 38, 404 415.
15. Leung, B., Lodge, D.M., Finnoff, D., Shogren, J.F., Lewis, M.A. Lamberti, G. (2002) An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species. Proceedings: Biological Sciences, 269, 2407 2413.
16. Mack, R.N. (1996) Predicting the identity and fate of plant invaders: emergent and emerging approaches. Biological Conservation, 78, 107 121.
17. Mack, R.N. (2005) Predicting the identity of plant invaders: future contributions from horticulture. HortScience, 40, 1168 1174.
18. McNeely, J.A., Mooney, H.A., Neville, L.E., Schei, P. Waage, J.K., eds 2001) Global strategy on invasive alien species. International Union for the Conservation of Nature on behalf of the Global Invasive Species Programme. Gland, Switzerland.
19. National Invasive Species Council (2001) Management plan: meeting the invasive species challenge. Washington, D.C. Available from http://www. invasivespeciesinfo.gov/docs/council/mpfinal.pdf (accessed August 2007).
20. Nishida, T. (2006) Towards a weed risk assessment model for Japan. pp. 73 76. Proceedings of the National Institute for Agro-Environmental Sciences International Symposium 2006. Epochal Tsukuba. NIAES, Japan.
21. Panetta, F.D. (1993) A system for assessing proposed plant introductions for weed potential. Plant Protection Quarterly, 8, 10 14.
22. Perrings, C., Williamson, M., Barbier, E.B., Delfino, D., Dalmazzone, S., Shogren, J., Simmons, P. Watkinson, A. (2002) Biological invasion risks and the public good: an economic perspective. Conservation Ecology, 6 (1), 1 [online] Available from http://www.consecol.org/vol6/iss1/art1.
23. Pheloung, P.C. (1995) Determining the weed potential of new plant introductions to Australia. A report on the development of a Weed Risk Assessment System commissioned by the Australian Weeds Committee and the Plant Industries Committee. Perth, Western Australia.
24. Pheloung, P.C., Williams, P.A. Halloy, S.R. (1999) A weed risk assessment model for use as a biosecurity tool evaluating plant introductions. Journal of Environmental Management, 57, 239 251.
25. Pyšek, P., Richardson, D.M. Williamson, M. (2004) Predicting and explaining plant invasions through analysis of source area floras: some critical considerations. Diversity and Distributions, 10, 179 187.
26. Reichard, S.H. Hamilton, C.W. (1997) Predicting invasions of woody plants introduced into North America. Conservation Biology, 11, 193 203.
27. Rejmánek, M., Richardson, D.M., Higgins, S.I., Pitcairn, M. Grotkopp, E. (2005) Ecology of invasive plants: state of the art. Invasive alien species: a new synthesis (ed. by H.A. Mooney, J.A. McNeely, L. Neville, P.J. Schei J. Waage), pp. 104 161. Island Press, Washington, D.C.
28. Rice, W.R. (1989) Analyzing tables of statistical tests. Evolution, 43, 223 225.
29. Smith, C.S., Lonsdale, W.M. Fortune, J. (1999) When to ignore advice: invasion predictions and decision theory. Biological Invasions, 1, 89 96.
30. Stohlgren, T.J. Schnase, J.L. (2006) Risk analysis for biological hazards: what we need to know about invasive species. Risk Analysis, 26, 163 173.
31. Virtue, J.G., Bennett, S.J. Randall, R.P 2004) Plant introductions in Australia: how can we resolve 'weedy' conflicts of interest? (ed. B.M. Sindel S.B. Johnson pp. 42 48. Proceedings of the 14th Australian Weeds Conference. Weed Society of New South Wales, Sydney, Australia.
32. Widrlechner, M.P., Thompson, J.R., Iles, J.K. Dixon, P.M. (2004) Models for predicting the risk of naturalization of non-native woody plants in Iowa. Journal of Environmental Horticulture, 22, 23 31.
33. Williams, J.A. West, C.J. (2000) Environmental weeds in Australia and New Zealand: issues and approaches to management. Austral Ecology, 25, 425 444.
34. Zhang, Z. Pepe, M.S. (2005) A linear regression framework for receiver operating characteristic (ROC) curve analysis. University of Washington Biostatistics Working Paper Series, paper 253. Available from http://www.bepress.com/uwbiostat/paper253/ (accessed August 2007).