Can the invaded range of a species be predicted sufficiently using only native-range data? Lehmann lovegrass (Eragrostis lehmanniana) in the southwestern United States

Ecological Modelling

Volumn 193, Issue 3-4, 2006, Pages 736-746

  Mau Crimmins, Theresa M ^a,c   Schussman, Heather R ^b   Geiger, Erika L ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b THE NATURE CONSERVANCY   (United States)

^c NONE   (United States)

Author keywords

Distribution modeling; Eragrostis lehmanniana; Genetic algorithm for rule set prediction; Invaded range models; Invasive plants

Indexed keywords

DATA ACQUISITION; ECOLOGY; LANDSLIDES; MATHEMATICAL MODELS;

DISTRIBUTION MODELING; INVASIVE PLANTS;

BIODIVERSITY;

BIOLOGICAL INVASION; PREDICTION; RANGE SIZE;

NORTH AMERICA; UNITED STATES;

ERAGROSTIS; ERAGROSTIS LEHMANNIANA;

EID: 32644489677     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.09.002     Document Type: Article

References (50)

1. R.P. Anderson, D. Lew, and A.T. Peterson Evaluating predictive models of species' distributions: criteria for selecting optimal models Ecol. Model. 162 2003 211 232
2. L. Arriaga, A.E. Castellanos, E. Moreno, and J. Alarcón Potential ecological distribution of alien invasive species and risk assessment: a case study of buffel grass in arid regions of Mexico Conserv. Biol. 18 2004 1504 1514
3. Barkworth, M.E., Capels, K.M., 2004. Intermountain Herbarium. Available on-line: http://herbarium.usu.edu/webmanual (accessed August 2004).
4. B.L. Burson, and P.W. Voigt Cytogenetic relationships between the Eragrostis curvula and Eragrostis lehmanniana complexes Int. J. Plant Sci. 157 1996 632 637
5. J.R. Cox, and G.B. Ruyle Influence of climatic and edaphic factors on the distribution of Eragrostis lehmanniana Nees in Arizona, USA J. Grassld. Soc. S. Afr. 3 1986 25 29
6. J.R. Cox, G.B. Ruyle, J.H. Fourie, and C. Donaldson Lehmann lovegrass - central South Africa and Arizona, USA Rangelands 10 1988 53 55
7. J.R. Cox, M.H. Martin-R., F.A. Ibarra-F., J.H. Fourie, N.F.G. Rethman, and D.G. Wilcox The influence of climate and soils on the distribution of four African grasses J. Range Manage. 41 1988 127 139
8. Crider, F.J., 1945. Three introduced lovegrasses for soil conservation. United States Department of Agriculture Circular No. 730.
9. J.M. Drake, and J.M. Bossenbroek The potential distribution of zebra mussels in the United States BioScience 54 2004 931 941
10. T.P. Feria, and A.T. Peterson Using point occurrence data and inferential algorithms to predict local communities of birds Divers. Distrib. 8 2002 49 56
11. M.E. Godown, and A.T. Peterson Preliminary distributional analysis of U.S. endangered bird species Biodivers. Conserv. 9 2000 1313 1322
12. J. Grinnell Field tests of theories concerning distributional control Am. Nat. 51 1917 115 128
13. J.L. Hierro, J.L. Maron, and R.M. Callaway A biogeograhical approach to plant invasions: the importance of studying exotics in their introduced and native range J. Ecol. 93 2005 5 15
14. S.I. Higgins, D.M. Richardson, and R.M. Cowling Validation of a spatial simulation model of a spreading alien plant population J. Appl. Ecol. 38 2001 571 584
15. M.H. Hoffman The distribution of Senecio vulgaris, capacity of climatic range models for predicting adventitious ranges Flora 196 2001 395 403
16. K. Iguchi, K. Matsurra, K.M. McNyset, A.T. Peterson, R. Scachetti-Periera, K.A. Powers, D.A. Vieglais, E.O. Wiley, and T. Yodo Predicting invasions of North American basses in Japan using native range data and a genetic algorithm T. Am. Fish. Soc. 133 2004 845 854
17. Intergovernmental Panel on Climate Change, 2004. Climate data archive. IPCC, Geneva, Switzerland. Available on-line: http://www.ipcc.ch/ (accessed June 2004).
18. D.J. Kriticos, and R.P. Randall A comparison of systems to analyze potential weed distributions R.H. Groves F.D. Panetta J.G. Virtue Weed Risk Assessment 2001 CSIRO Publishing, Collingwood Victoria, Australia 61 79
19. G.P. Malanson, W.E. Westman, and Y.L. Yan Realized versus fundamental niche functions in a model of chaparral response to climatic change Ecol. Model. 64 1992 261 277
20. D.W. McKenny, A.A. Hopkin, K.L. Campbell, B.G. Mackey, and R. Foottit Opportunities for improved risk assessments of exotic species using bioclimatic modeling Environ. Monit. Assess. 88 2003 445 461
21. R.G. Pearson, and T.P. Dawson Predicting the impacts of climate change on the distribution of species: are bioclimatic envelope models useful? Global Ecol. Biogeogr. 12 2003 361 371
22. A.T. Peterson Predicting species' geographic distributions based on ecological niche modeling Condor 103 2001 599 605
23. A.T. Peterson Predicting the geography of species' invasions via ecological niche modeling Q. Rev. Biol. 78 2003 419 433
24. A.T. Peterson, and K.P. Cohoon Sensitivity of distributional prediction algorithms to geographic data completeness Ecol. Model. 117 1999 159 164
25. A.T. Peterson, and C.R. Robins Using ecological-niche modeling to predict barred owl invasions with implications for spotted owl conservation Conserv. Biol. 17 2003 1161 1165
26. A.T. Peterson, and J. Shaw Lutzomyia vectors for cutaneous leighmaniasis in Southern Brazil: ecological niche models, predicted geographic distributions, and climate change effects Int. J. Parasitol. 33 2003 919 931
27. A.T. Peterson, and D.A. Vieglais Predicting species invasions using ecological niche modeling: new approaches from bioinformatics attack a pressing problem Bioscience 2001 363 371
28. A.T. Peterson, L.G. Ball, and K.P. Cohoon Predicting distributions of tropical birds Ibis 144 2002 E27 E32
29. A.T. Peterson, M. Papes, and D.A. Kluza Predicting the potential invasive distributions of four alien plant species in North America Weed Sci. 51 2003 863 868
30. A.T. Peterson, R. Scachetti-Pereira, and W.W. Hargrove Potential geographic distribution of Anoplophora glabripennis (Coleoptera: Cerambycidae) in North America Am. Midl. Nat. 151 2004 170 178
31. A.T. Peterson, J. Soberòn, and V. Sánchez-Cordero Conservatism of ecological niches in evolutionary time Science 285 1999 1265 1267
32. A.T. Peterson, D.R.B. Stockwell, and D.A. Kluza Distributional prediction based on ecological niche modeling of primary occurrence data J.M. Scott P.J. Heglund M.L. Morrison J.B. Haufler M.G. Raphael W.A. Wall F.B. Samson Predicting Species Occurrences: Issues of Accuracy and Scale 2002 Island Press Washington, DC 617 623
33. A.T. Peterson, V. Sánchez-Cordero, J. Soberòn, J. Bartley, R.W. Buddemeier, and A.G. Navarro-Sighenza Effects of global climate change on geographic distributions of Mexican Cracidae Ecol. Model. 144 2001 21 30
34. A.T. Peterson, M.A. Ortega-Huerta, J. Bartley, V. Sánchez-Cordero, J. Soberòn, R.H. Buddemeier, and D.R.B. Stockwell Future projections for Mexican faunas under global climate change scenarios Nature 416 2002 626 629
35. Pimentel, D., Lach, L., Zuniga, R., Morrison, D., 1999. Environmental and Economic Costs Associated with Non-indigenous species in the United States. Available on-line: http://www.news.cornell.edu/releases/Jan99/species_costs.html (accessed August 2004).
36. Post, W. M., Zobler, L., 2000. Global Soil Types, 0.5-Degree Grid (Modified Zobler). Data set. Available on-line: http://www.daac.ornl.gov from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA (accessed June 2004).
37. V. Sánchez-Cordero, and E. Martinez-Meyer Museum specimen data predict crop damage by tropical rodents Proc. Nat. Acad. Sci. U.S.A. 97 2000 7074 7077
38. J.L. Schnase, J.A. Smith, T.J. Stohlgren, S. Graves, and C. Trees Biological invasions: a challenge in ecological forecasting IEEE International Geoscience and Remote Sensing Symposium, 24th Canadian Symposium 2002 122 124
39. Schussman, H.R., 2002. Genetic variation in the introduced apomictic grass, Eragrostis lehmanniana Nees, on the Santa Rita Experimental Range in southeastern Arizona, USA. M.S. Thesis. University of Arizona, Tucson.
40. K. Shea, and P. Chesson Community ecology theory as a framework for biological invasions Trends Ecol. Evol. 17 2002 170 176
41. J. Soberón, and A.T. Peterson Interpretation of models of fundamental ecological niche and species' distributional areas Biodiv. Informatics 2 2005 1 10
42. D.R.B. Stockwell, and I.R. Noble Induction of sets of rules from animal distribution data: a robust and informative method of data analysis Math. Comput. Simul. 33 1992 385 390
43. D.R.B. Stockwell, and D. Peters The GARP modeling system: problems and solutions to automated spatial prediction Int. J. Geog. Inf. Sys. 13 1999 143 158
44. D.R.B. Stockwell, and A.T. Peterson Controlling bias in biodiversity data J.M. Scott P.J. Heglund M.L. Morrison J.B. Haufler M.G. Raphael W.A. Wall F.B. Samson Predicting Species Occurrences: Issues of Accuracy and Scale 2002 Island Press Washington, DC 537 546
45. D.R.B. Stockwell, and A.T. Peterson Effects of sample size on accuracy of species distribution models Ecol. Model. 148 2002 1 13
46. E.C. Underwood, R. Klinger, and P.E. Moore Predicting patterns of non-native plant invasions in Yosemite National Park, California, USA Divers. Distrib. 10 2004 447 459
47. U.S. Geological Survey, 2001. HYDRO1k elevation derivative database. USGS, Washington, DC Available on-line: http://edcdaac.usgs.gov/gtopo30/hydro/ (accessed January 2004).
48. E. Welk Constraints in range predictions of invasive plant species due to non-equilibrium distribution patterns: purple loosestrife (Lythrum salicaria) in North America Ecol. Model. 179 2004 551 567
49. E. Welk, K. Schubert, and M.H. Hoffman Present and potential distribution of invasive garlic mustard (Alliaria petiolata) in North America Divers. Distrib. 8 2002 219 233
50. S.M. Zalba, M.I. Sonaglioni, and C.J. Belenguer Using a habitat model to assess the risk of invasion by an exotic plant Biol. Conserv. 93 2000 203 208