Challenges in identifying sites climatically matched to the native ranges of animal invaders

PLoS ONE

Volumn 6, Issue 2, 2011, Pages

  Rodda, Gordon H ^a   Jarnevich, Catherine S ^a   Reed, Robert N ^a  

^a FORT COLLINS SCIENCE CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLIMATE; CLIMATE MATCHING; CONTROLLED STUDY; ECOLOGICAL NICHE; ECOLOGICAL PHENOMENA AND FUNCTIONS; PHYTON MOLURUS; PREDICTION; SNAKE; SPECIES DISTRIBUTION; SPECIES INVASION; STATISTICAL MODEL; UNITED STATES; ANIMAL; ECOSYSTEM; INTERNATIONAL COOPERATION; INTRODUCED SPECIES; PHYSIOLOGY; STATISTICS; THEORETICAL MODEL;

ANIMALIA; PYTHON MOLURUS; VERTEBRATA;

ANIMALS; BOIDAE; CLIMATE; ECOSYSTEM; INTERNATIONALITY; INTRODUCED SPECIES; MODELS, THEORETICAL;

EID: 79951786602     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0014670     Document Type: Article

References (69)

1. US Fish and Wildlife Service (2008) Injurious wildlife species; review of information concerning constrictor snakes from Python, Boa, and Eunectes genera. Federal Register 73: 5784-5785.
2. Rodda GH, Jarnevich CS, Reed RN, (2009, online 2008) What parts of the US mainland are climatically suitable for invasive alien pythons spreading from Everglades National Park? Biol Invasions 11: 241-252 10.1007/s10530-008-9228-z.
3. Pyron RA, Burbrink FT, Guiher TJ, (2008) Claims of potential expansion throughout the U.S. by invasive python species are contradicted by ecological niche models. PLoS ONE 3: e2931 10.1371/journal.pone.0002931.
4. USARK (US Association of Reptile Keepers) (2009) Testimony on H.R. 2811, to amend Title 18, U.S. Code, to include constrictor snakes of the species Python genera as an injurious animal. U.S. House of Representatives, Committee on Natural Resources.
5. Phillips SJ, Dudlik M, Schapire RE, (2004) A maximum entropy approach to species distribution modeling. Proc 21st Intl Conf Machine Learning 21: unpag. reprint.
6. Phillips SJ, Anderson RP, Schapire RE, (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190: 231-259.
7. Guisan A, Zimmermann NE, Elith J, Graham CH, Phillips SJ, et al. (2007) What matters for predicting the occurrence of trees: techniques, data, or species' characteristics? Ecol Monogr 77: 615-630.
8. Broennimann O, Treier UA, Müller-Schärer H, Thuiller W, Peterson AT, et al. (2007) Evidence of climatic niche shift during biological invasion. Ecological Letters 10: 701-709.
9. Giovanelli JGR, Haddad CFB, Alexandrino J, (2008) Predicting the potential distribution of the alien invasive American Bullfrog (Lithobates catesbeianus) in Brazil. Biol Invasions 2007 pp. 585-590.
10. Broennimann O, Guisan A, (2008) Predicting current and future biological invasions: both native and invaded ranges matter. Biol Lett 4: 585-589.
11. Rödder D, Lötters S, (2009) Niche shift versus niche conservatism? Climatic characteristics of the native and invasive ranges of the Mediterranean House Gecko (Hemidactylus turcicus). Global Ecol Biogeogr 18: 674-687 10.1111/j.1466-8238.2009.00477.x.
12. Peterson AT, (2006) Uses and requirements of ecological niche models and related distributional models. Biodiversity Informatics 3: 59-72.
13. Phillips BL, Chipperfield JD, Kearney MR, (2008) The toad ahead: challenges of modelling the range and spread of an invasive species. Wildl Res 35: 222-234.
14. Elith J, Kearney M, Phillips SJ, (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution online 10.1111/j.2041-210X.2010.00036.x.
15. Kearney M, (2006) Habitat, environment and niche: what are we modelling? Oikos 115: 186-191.
16. Kearney M, Phillips BL, Tracy CR, Christian KA, Betts G, et al. (2008) Modelling species distributions without using species distributions: the Cane Toad in Australia under current and future climates. Ecography 31: 423-434.
17. Soberón J, Peterson AT, (2005) Interpretation of models of fundamental ecological niches and species' distributional areas. Biodiversity Informatics 2: 1-10.
18. Soberón J, Nakamura M, (2009) Niches and distributional areas: concepts, methods, and assumptions. Proc Natl Acad Sci USA 106: 19644-19650 10.1073/pnas.0901637106.
19. Araújo MB, Pearson RG, (2005) Equilibrium of species' distributions with climate. Ecography 28: 693-695.
20. Darwin C, (1859) The origin of species. New York, New York (reprinted 1958) Mentor Books.
21. Soberón J, (2007) Grinnellian and Eltonian niches and geographic distribution of species. Ecol Lett 10: 1115-1123.
22. Hutchinson GE, (1957) Concluding remarks. Cold Spring Harbor Symp Quant Biol 22: 145-159.
23. Peterson AT, Soberón J, Sánchez-Cordero V, (1999) Conservatism of ecological niches in evolutionary time. Science 285: 1265-1267.
24. Jimenez-Valverde A, Lobo JM, Hortal J, (2008) Not as good as they seem: the importance of concepts in species distribution modeling. Divers Distrib 14: 885-890.
25. Jeschke JM, Strayer DL, (2008) Usefulness of bioclimatic models for studying climate change and invasive species. Ann N Y Acad Sci 1134: 1-24.
26. Colautti RI, Ricciardi A, Grigorovich IA, MacIsaac HJ, (2004) Is invasion success explained by the enemy release hypothesis? Ecol Lett 7: 721-733.
27. Duncan RP, Cassey P, Blackburn TM, (2009) Do climate envelope models transfer? A manipulative test using dung beetle introductions. Proc Roy Soc Lond B 267: 1449-1457.
28. Randin CF, Dirnböck T, Dullinger S, Zimmermann NE, Zappa M, et al. (2006) Are niche-based species distribution models transferable in space? J Biogeogr 33: 1689-1703 10.1111/j.1365-2699.2006.01466.x.
29. Peterson AT, Papes M, Eaton M, (2007) Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 30: 550-560 10.1111/j.2007.0906-7590.05102.x.
30. Phillips SJ, (2008) Transferability, sample selection bias and background data in presence-only modelling: a response to Petersonet al. (2007). Ecography 31: 272-78.
31. Beaumont LJ, Gallagher RV, Thuiller W, Downey PO, Leishman MR, et al. (2009) Different climatic envelopes among invasive populations may lead to understimations of current and future biological invasions. Divers Dist 15: 409-420.
32. Peterson AT, Vieglais DA, (2001) Predicting species invasions using ecological niche modeling: new approaches from bioinformatics attack a pressing problem. Bioscience 51: 363-371.
33. Fitzpatrick MC, Weltzin JF, Sanders NJ, Dunn RR, (2007) The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? Global Ecol Biogeogr 16: 24-33.
34. Loo SE, Mac Nally RC, Lake PS, (2007) Forecasting New Zealand mudsnail invasion range: model comparisons using native and invaded ranges. Ecol Appl 17: 181-189.
35. Lobo JM, Jimenez-Valverde A, Real R, (2008) AUC: a misleading measure of the performance of predictive distribution models. Glob Ecol Biogeog 17: 145-151.
36. Beaumont LJ, Hughes L, Poulsen M, (2005) Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions. Ecol Model 186: 250-269.
37. Heikkinen RK, Luoto M, Araújo MB, Virkkala R, Thuiller W, et al. (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography 30: 751-777.
38. Phillips SJ, Dudík M, (2008) Modeling of species distributions with Maxent: new extensions and comprehensive evaluation. Ecography 31: 161-175 10.1111/j.2007.0906-7590.05203.x.
39. Warren DL, Seifert SN, (2010) Environmental niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecol Appl in press.
40. VanDerWal J, Shoo LP, Graham C, Williams SE, (2009) Selecting pseudo-absence data for presence-only distribution modeling: how far should you stray from what you know? Ecol Model 220: 589-594.
41. Nabhitabhata J, Chan-ard T, (2005) Status of mammals, reptiles and amphibians in Thailand. Bangkok Ofc. Of Natur. Res. and Env. Policy and Planning.
42. Lobo JM, (2008) More complex distribution models or more representative data? Biodiversity Informatics 5: 14-19.
43. Lobo JM, Jimenez-Valverde A, Hortal J, (2010) The uncertain nature of absences and their importance in species distribution modelling. Ecography 33: 103-114 10.1111/j.1600-0587.2009.06039.x.
44. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A, (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
45. Deyang L, (1986) Python molurus bivittatus occurred in Qingchuan County of Sichuan Province [in Chinese]. Acta Herpetologica Sinica 5: 198.
46. Khan MS, (2002) A guide to the snakes of Pakistan. Frankfurt am Main Edition Chimaira.
47. Khan MS, (2006) Amphibians and reptiles of Pakistan. Melbourne, FL Krieger Pub. Co.
48. Mertens R, (1969) Die Amphibien und Reptilien West-Pakistans. Stuttgarter Beiträge zur Naturkunde aus dem Staatlichen Museum für Naturkunde in Stuttgart 197: 1-96.
49. Minton SA Jr, (1966) A contribution to the herpetology of West Pakistan. Bull Amer Mus Natur Hist 134: 29-184.
50. Brown JH, Stevens GC, Kaufman DM, (1996) The geographic range: size, shape, boundaries, and internal structure. Annu Rev Ecol Syst 27: 597-623.
51. Araújo MB, Guisan A, (2006) Five (or so) challenges for species distribution modelling. J Biogeogr 33: 1677-1688.
52. Rödder D, Lötters S, (2010) Potential distribution of the alien invasive Brown Tree Snake, Boiga irregularis (Reptilia: Colubridae). Pac Sci 64: 11-22.
53. Rödder D, Solé M, Böhme W, (2008) Predicting the potential distribution of two alien invasive housegeckos (Gekkonidae: Hemidactylus frenatus, Hemidactylus mabouia). North-West J Zool 4: 236-246.
54. Martin WK, (1996) The current and potential distribution of the Common Myna Acridotheres tristis in Australia. Emu 96: 166-173.
55. Zambrano L, Martínez-Meyer E, Menezes N, Peterson AT, (2006) Invasive potential of common carp (Cyprinus carpio) and Nile tilapia (Oreochromis niloticus) in American freshwater systems. Can J Fish Aquat Sci 63: 1903-1910.
56. Rodda GH, Reed RN, Jarnevich CS, (2007) Climate matching as a tool for predicting potential North American spread of Brown Treesnakes. In: Witmer GW, Pitt WC, Fagerstone KA, editors. Managing Vertebrate Invasive Species: proceedings of an international symposium Fort Collins CO USDA-APHIS National Wildlife Research Center pp. 138-145.
57. Veloz SD, (2009) Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only nich models. J Biogeogr 36: 2290-2299.
58. Phillips SJ, Dudìk M, Elith J, Graham CH, Lehmann A, et al. (2009) Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol Appl 19: 181-197.
59. Reed RN, Rodda GH, (2009) Giant constrictors: biological and management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the Boa Constrictor. US Geological Survey Open File Report 2009-1202: 1-315.
60. Freedman DA, (1983) A note on screening regression equations. American Statistician 37: 152-155.
61. Rexstad EA, Miller DD, Flather CH, Anderson EM, Hupp JW, et al. (1988) Questionable multivariate statistical inference in wildlife habitat and community studies. J Wildl Manage 52: 794-798.
62. Burnham KP, Anderson DR, (2002) Model selection and multimodel inference; a practical information-theoretic approach, 2nd edn. New York, New York Springer.
63. Anderson DR, Burnham KP, Gould WR, Cherry S, (2001) Concerns about finding effects that are actually spurious. Wildl Soc Bull 29: 311-316.
64. Wisz MS, Guisan A, (2009) Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data. BioMed Central Ecology 9: early online. 10.1186/1472-6785-9-8.
65. Guisan A, Zimmermann NE, (2000) Predictive habitat distribution models in ecology. Ecol Model 135: 147-186.
66. Segurado P, Araújo MB, Kunin WE, (2006) Consequences of spatial autocorrelation for niche-based models. J Appl Ecol 43: 433-444.
67. Dormann CF, McPherson JM, Araújo MB, Bivand R, Bolliger J, et al. (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30: 609-628.
68. Pyron RA, Burbrink FT, (2009) Lineage diversification in a widespread species: roles for niche divergence and conservatism in the common kingsnake, Lampropeltis getula. Mol Ecol 18: 3443-3457.
69. Thorton PE, Running SW, White MA, (1997) Generating surfaces of daily meteorology variables over large regions of complex terrain. J Hydrol 190: 214-251.