Claims of potential expansion throughout the U.S. by invasive python species are contradicted by ecological niche models

PLoS ONE

Volumn 3, Issue 8, 2008, Pages

  Pyron, R Alexander ^a,b   Burbrink, Frank T ^b   Guiher, Timothy J ^a,b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLIMATE CHANGE; CONTROLLED STUDY; ECOLOGICAL NICHE; FORECASTING; GEOGRAPHIC DISTRIBUTION; GLOBAL CLIMATE; GREENHOUSE EFFECT; NATIVE SPECIES; NONHUMAN; PREDICTION; SNAKE; SPECIES DISTRIBUTION; SPECIES HABITAT; UNITED STATES; ANIMAL; BIOLOGICAL MODEL; ECOLOGY; ECOSYSTEM; ENVIRONMENT; POPULATION DYNAMICS; POPULATION GROWTH;

PYTHONIDAE; SERPENTES;

SNAKE VENOM;

ANIMALS; BOIDAE; ECOLOGY; ECOSYSTEM; ENVIRONMENT; MODELS, BIOLOGICAL; POPULATION DYNAMICS; POPULATION GROWTH; SNAKE VENOMS; UNITED STATES;

EID: 51449117847     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0002931     Document Type: Article

References (13)

1. Hijmans RJ, Graham CH (2006) The ability of climate envelope models to predict the effect of climate change on species distributions. Global Change Biol. 12: 1-10.
2. Rodda GH, Jarnevich CS, Reed RN (2008) What parts of the US mainland are climatically suitable for invasive alien pythons spreading from Everglades National Park? Biol Inv. In Press: doi: 10.1007/ s10530-008-9228-z.
3. Snow RW, Krysko KL, Enge KM, Oberhofer L, Warren-Bradley A, et al. (2007) Introduced Populations of Boa constrictor (Boidae) and Python molurus bivitattus (Pythonidae) in Southern Florida. In: Henderson RW, Powell R, eds (2007) The Biology of Boas and Pythons. Eagle Mountain, UT: Eagle Mountain Pub. pp 417-438.
4. McDiarmid RW, Campbell JA, Touré TA (1999) Snake Species ofthe World: A Taxonomic and Geographic Reference. Washington: Herpetologists' League. pp 511.
5. Rodda GH, Reed RN, Snow RW (2008) USGS Maps Show Potential Non-Native Python Habitat Along Three U.S. Coasts. USGS Press Release 1875. Available: http://www.usgs.gov/newsroom/article.wp?ID=1875. Accessed 31 March 2008.
6. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol. Mod. 190: 231-259.
7. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29: 129-151.
8. Raxworthy CJ, Ingram CM, Rabibisoa N, Pearson RG (2007) Applications of Ecological Niche Modeling for Species Delimitation: A Review and Empirical Evaluation Using Day Geckos (Phelsuma) from Madagascar. Syst. Biol. 56: 907-923.
9. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Intl. J. Clim. 25: 1965-1978.
10. Govindasamy B, Duffy PB, Coquard J (2003) High-resolution simulations of global climate, part 2: effects of increased greenhouse gases. Clim. Dyn. 21: 391-404.
11. Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species' distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J. Biogeo. 34: 102-117.
12. Grinnell J (1917) The niche-relationships of the California Thrasher. Auk 34: 427-433.
13. Hutchinson GE (1957) Concluding remarks. Cold Spring Harbor Symposia on Quant. Biol. 22: 415-427.