Population distribution models: Species distributions are better modeled using biologically relevant data partitions

BMC Ecology

Volumn 11, Issue , 2011, Pages

  Gonzalez, Sergio C ^a,c   Soto Centeno, J Angel ^a,b   Reed, David L ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGICAL MODELING; ERROR ANALYSIS; GEOGRAPHICAL DISTRIBUTION; PERFORMANCE ASSESSMENT; POPULATION DISTRIBUTION; RODENT; SPATIAL VARIATION; SPECIES DIVERSITY;

PEROMYSCUS; PEROMYSCUS POLIONOTUS;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; GENETICS; GEOGRAPHIC INFORMATION SYSTEM; MOUSE; PHYSIOLOGY; POPULATION DYNAMICS; RECEIVER OPERATING CHARACTERISTIC; STATISTICS; UNITED STATES;

ANIMALS; GEOGRAPHIC INFORMATION SYSTEMS; MICE; MODELS, BIOLOGICAL; POPULATION DYNAMICS; ROC CURVE; SOUTHEASTERN UNITED STATES; STATISTICS AS TOPIC;

EID: 80052849534     PISSN: None     EISSN: 14726785     Source Type: Journal    
DOI: 10.1186/1472-6785-11-20     Document Type: Article

References (40)

1. Peterson AT, Sánchez-Cordero V, Beard CB, Ramsey JM. Ecologic niche modeling and potential reservoirs for Chagas disease, Mexico. Emerging Infectious Diseases 2002, 8:662-667. 2730326, 12095431.
2. Guisan A, Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecology Letters 2005, 8:993-1009.
3. Wiens JJ, Graham CH. Niche conservatism: Integrating evolution, ecology, and conservation biology. Annual Review of Ecology, Evolution, and Systematics 2005, 36:519-539.
4. VanDerWal J, Shoo LP, Johnson CN, Williams SE. Abundance and the environmental niche: environmental suitability estimated from niche models predicts the upper limit of local abundance. The American Naturalist 2009, 174:282-291. 10.1086/600087, 19519279.
5. Allen CR, Pearlstine LG, Kitchens WM. Modeling viable mammal populations in gap analyses. Biological Conservation 2001, 99:135-144.
6. Scoble J, Lowe AJ. A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning. Diversity and Distributions 2010, 16:343-353.
7. Peterson AT. Predicting the geography of species' invasions via ecological niche modeling. The Quarterly Review of Biology 2003, 78:419-433. 10.1086/378926, 14737826.
8. Peterson AT, Robins CR. Using ecological-niche modeling to predict barred owl invasions with implications for spotted owl conservation. Conservation Biology 2003, 17:1161-1165.
9. Rödder D, Weinsheimer F, Lötters S. Molecules meet macroecology: Combining species distribution models and phylogeographic studies. Zootaxa 2010, 60:54-60.
10. Rehfeldt GE, Crookston NL, Warwell MV, Evans JS. Empirical analyses of plant-climate relationships for the western united states. International Journal of Plant Sciences 2006, 167:1123-1150.
11. Peterson AT. Conservatism of ecological niches in evolutionary time. Science 1999, 285:1265-1267. 10.1126/science.285.5431.1265, 10455053.
12. Pearson RG, Dawson TP, Liu C. Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data. Ecography 2004, 27:285-298.
13. Bentlage B, Peterson AT, Cartwright P. Inferring distributions of chirodropid box-jellyfishes (Cnidaria: Cubozoa) in geographic and ecological space using ecological niche modeling. Marine Ecology Progress Series 2009, 384:121-133.
14. Guisan A, Broennimann O, Engler R, Vust M, Yoccoz NG, Lehmann A, Zimmermann NE. Using niche-based models to improve the sampling of rare species. Conservation Biology 2006, 20:501-511. 10.1111/j.1523-1739.2006.00354.x, 16903111.
15. Raxworthy CJ, Martinez-Meyer E, Horning N, Nussbaum RA, Schneider GE, Ortega-Huerta MA, Townsend Peterson A. Predicting distributions of known and unknown reptile species in Madagascar. Nature 2003, 426:837-841. 10.1038/nature02205, 14685238.
16. Rissler LJ, Apodaca JJ. Adding more ecology into species delimitation: ecological niche models and phylogeography help define cryptic species in the black salamander (Aneides flavipunctatus). Systematic Biology 2007, 56:924-942. 10.1080/10635150701703063, 18066928.
17. Osborne P, Suarez-Seoane S. Should data be partitioned spatially before building large-scale distribution models?. Ecological Modelling 2002, 157:249-259.
18. Hernandez PA, Graham CH, Master LL, Albert DL. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
19. Blair F. Ecological factors in speciation of peromyscus. Evolution 1950, 4:253-275.
20. Hall ER. The Mammals of North America 1981, 980. John Wiley and Sons, 2.
21. Degner JF, Stout IJ, Roth JD, Parkinson CL. Population genetics and conservation of the threatened southeastern beach mouse (Peromyscus polionotus niveiventris): subspecies and evolutionary units. Conservation Genetics 2007, 8:1441-1452.
22. Vignieri SN, Larson JG, Hoekstra HE. The selevive advantage of cripsis in mice. Evolution 2010, 64:2153-2158.
23. Mullen LM, Hoekstra HE. Natural selection along an environmental gradient: a classic cline in mouse pigmentation. Evolution 2008, 62:1555-1570. 10.1111/j.1558-5646.2008.00425.x, 18489719.
24. Steiner CC, Römpler H, Boettger LM, Schöneberg T, Hoekstra HE. The genetic basis of phenotypic convergence in beach mice: similar pigment patterns but different genes. Molecular Biology and Evolution 2009, 26:35-45.
25. Mullen LM, Vignieri SN, Gore JJA, Hoekstra HE. Adaptive basis of geographic variation: genetic, phenotypic and environmental differences among beach mouse populations. Proceedings of the Royal Society B 2009, 276:3809-3818. 10.1098/rspb.2009.1146, 2817293, 19656790.
26. Humphrey SR, Barbour DB. Status and habitat of three subspecies of peromyscus polionotus in florida. Jounal of Mammalogy 1981, 62:840-844.
27. Fielding AH, Bell JF. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 1997, 24:38-49.
28. Guisan A, Zimmermann NE. Predictive habitat distribution models in ecology. Ecological Modelling 2000, 135:147-186.
29. Lobo JM, Jiménez-Valverde A, Real R. AUC: A misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography 2008, 17:145-151.
30. Elith J, Leathwick JR. Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics 2009, 40:677-697.
31. Veloz SD. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models. Journal of Biogeography 2009, 36:2290-2299.
32. Segurado P, Araujo MB, Kunin WE. Consequences of spatial autocorrelation for niche-based models. Journal of Applied Ecology 2006, 43:433-444.
33. Phillips S, Anderson R, Schapire R. Maximum entropy modeling of species geographic distributions. Ecological Modelling 2006, 190:231-259.
34. Phillips SJ, Dudík M. Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography 2008, 31:161-175.
35. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton J, Townsend Peterson A, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
36. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 2005, 25:1965-1978.
37. Mammal Network Information System. , http://manisnet.org
38. Global Biodiversity Information System. , http://www.gbif.org
39. US Board on Geographic Names: Geographic Names Information System. , http://geonames.usgs.gov/pls/gnispublic
40. Araújo MB, Pearson RG, Thuiller W, Erhard M. Validation of species-climate impact models under climate change. Global Change Biology 2005, 11:1504-1513.