Predicting the potential invasive distributions of four alien plant species in North America

Weed Science

Volumn 51, Issue 6, 2003, Pages 863-868

  Peterson, A Townsend ^a   Papes, Monica ^a   Kluza, Daniel A ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Ecological niche modeling; Genetic Algorithm for Rule set Prediction; Invasive species; Prediction

Indexed keywords

GEOGRAPHICAL DISTRIBUTION; INTRODUCED SPECIES; NATIVE SPECIES; NICHE; PLANT;

ASIA; EURASIA; EUROPE; NORTH AMERICA;

ALLIARIA PETIOLATA; ALLIUM SATIVUM; BRASSICA; ELAEAGNUS ANGUSTIFOLIA; LESPEDEZA; LESPEDEZA CUNEATA;

EID: 33646367416     PISSN: 00431745     EISSN: None     Source Type: Journal    
DOI: 10.1614/P2002-081     Document Type: Article

References (36)

1. Anderson, R. P., M. Gomez, and A. T. Peterson. 2002a. Geographical distributions of spiny pocket mice in South America: insights from predictive models. Glob. Ecol. Biogeogr. Lett. 11:131-141.
2. Anderson, R. P., M. Laverde, and A. T. Peterson. 2002b. Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice. Oikos 93:3-16.
3. Anderson, R. P., D. Lew, and A. T. Peterson. 2003. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecol. Model. 162:211-232.
4. CONABIO. 2002. Red Mexicana de la Información de la Biodiversidad. www.conabio.gob.mx/.
5. Egbert, S. L., E. Martinez-Meyer, M. A. Ortega-Herta, and A. T. Peterson. 2002. Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributions. Pages 2337-2339 in Proceedings IEEE 2002 International Geoscience and Remote Sensing Symposium (IGARSS). Volume 4. Toronto, Canada.
6. ESRI. 2001. ArcView. Redlands, CA: Environmental Systems Research Institute.
7. Feria, T. P. and A. T. Peterson. 2002. Using point occurrence data and inferential algorithms to predict local communities of birds. Divers. Distrib. 8:49-56.
8. Godown, M. E. and A. T. Peterson. 2000. Preliminary distributional analysis of U.S. endangered bird species. Biodivers. Conserv. 9:1313-1322.
9. Grinnell, J. 1917. Field tests of theories concerning distributional control. Am. Nat. 51:115-128.
10. Higgins, S. I., D. M. Richardson, R. M. Cowling, and T. H. Trinder-Smith. 1999. Predicting the landscape-scale distribution of alien plants and their threat to plant diversity. Conserv. Biol. 13:303-313.
11. Holt, J. S. and A. B. Boose. 2002. Potential for spread of Abutilon theophrasti in California. Weed Sci. 48:43-52.
12. Iguchi, K., K. Matsuura, K. McNyset, A. T. Peterson, R. Scachetti-Pereira, D. A. Vieglais, E. O. Wiley, and T. Yodo. 2003. Predicting invasions of bass in Japan. J. Am. Fish. Soc. In press.
13. IPCC. 2001. Climate Data Archive, www.ipcc.ch/.
14. Jones, P. G. and A. Gladkov. 1999. FloraMap: A Computer Tool for Predicting the Distribution of Plants and Other Organisms in the Wild. Cali, Colombia: Centro Internacional de Agricultura Tropical. 99 p.
15. Joseph, L. and D.R.B. Stockwell. 2000. Temperature-based models of the migration of Swainson's flycatcher (Myiarchus swainsoni) across South America: a new use for museum specimens of migratory birds. Proc. Acad. Nat. Sci. Phila. 150:293-300.
16. Peterson, A. T. 2001. Predicting species' geographic distributions based on ecological niche modeling. Condor 103:599-605.
17. Peterson, A. T., L. G. Ball, and K. C. Cohoon. 2002. Predicting distributions of tropical birds. Ibis 144:e27-e32.
18. Peterson, A. T. and K. C. Cohoon. 1999. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecol. Model. 117: 159-164.
19. Peterson, A. T., S. L. Egbert, V. Sánchez-Cordero, and K. P. Price. 2000. Geographic analysis of conservation priorities using distributional modelling and complementarity: endemic birds and mammals in Veracruz, Mexico. Biol. Conserv. 93:85-94.
20. Peterson, A. T. and C. R. Robins. 2003. When endangered meets invasive: ecological niche modeling predicts double trouble for spotted owls, Strix occidentalis. Conserv. Biol. In press.
21. Peterson, A. T., V. Sánchez-Cordero, J. Soberón, J. Bartley, R. H. Buddemeier, and A. G. Navarro-Siguenza. 2001. Effects of global climate change on geographic distributions of Mexican Cracidae. Ecol. Model. 144:21-30.
22. Peterson, A. T., J. Soberon, and V. Sánchez-Cordero. 1999. Conservatism of ecological niches in evolutionary time. Science 285:1265-1267.
23. Peterson, A. T. and D. A. Vieglais. 2001. Predicting species invasions using ecological niche modeling. Bioscience 51:363-371.
24. Scachetti-Pereira, R. 2001. Desktop GARP. www.lifemapper.org/desktopgarp.
25. Scott, J. M., P. J. Heglund, and M. L. Morrison, eds. 2002. Predicting Species Occurrences: Issues of Accuracy and Scale. Washington, DC: Island. 840 p.
26. Scott, J. M., T. H. Tear, and F. W. Davis, eds. 1996. Gap Analysis: A Landscape Approach to Biodiversity Planning. Bethesda, MD: American Society for Photogrammetry and Remote Sensing. 320 p.
27. Stockwell, D.R.B. 1999. Genetic algorithms II. Pages 123-144 in A. H. Fielding, ed. Machine Learning Methods for Ecological Applications. Boston, MA: Kluwer.
28. Stockwell, D.R.B. and I. R. Noble. 1992. Induction of sets of rules from animal distribution data: a robust and informative method of analysis. Math. Comp. Simul. 33:385-390.
29. Stockwell, D.R.B. and D. P. Peters. 1999. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Informat. Syst. 13:143-158.
30. Stockwell, D.R.B. and A. T. Peterson. 2002. Effects of sample size on accuracy of species distribution models. Ecol. Model. 148:1-13.
31. USDA. 2002. Plants Database. www.plants.usda.gov/.
32. USGS. 2001. HYDRO1k Elevation Derivative Database. www.edcdaac. usgs.gov/gtopo30/hydro/.
33. USGS. 2002. Nonindigenous Aquatic Species. www.nas.er.usgs.gov/.
34. Vieglais, D. A. 2000. The Species Analyst. www.speciesanalyst.net/.
35. Walker, P. A. and K. D. Cocks. 1991. HABITAT: a procedure for modelling a disjoint environmental envelope for a plant or animal species. Glob. Ecol. Biogeogr. Lett. 1:108-118.
36. Zalba, S. M., M. I. Sonaglioni, and C. J. Belenguer. 2000. Using a habitat model to assess the risk of invasion by an exotic plant. Biol. Conserv. 93:203-208.