Niches and distributional areas: Concepts, methods, and assumptions

Proceedings of the National Academy of Sciences of the United States of America

Volumn 106, Issue SUPPL. 2, 2009, Pages 19644-19650

  Soberón, Jorge ^a   Nakamura, Miguel ^b  

^a UNIVERSITY OF KANSAS   (United States)

^b CENTRO DE INVESTIGACIÓN EN MATEMÁTICAS   (Mexico)

Author keywords

Distributions modeling; Grinnellian niches; Niche modeling; Scenopoetic variables

Indexed keywords

ALGORITHM; CONFERENCE PAPER; CONSERVATION BIOLOGY; ECOLOGICAL NICHE; HYPOTHESIS; MODEL; MOLECULAR EVOLUTION; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; SPECIES DISTRIBUTION; ARTICLE; BIOLOGICAL MODEL; ECOSYSTEM;

GRINNELLIA;

ALGORITHMS; ECOSYSTEM; MODELS, BIOLOGICAL;

EID: 73949110621     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0901637106     Document Type: Article

References (78)

1. Grinnell J (1914) Barriers to distribution as regards birds and mammals. Am Nat 48:248-254.
2. Grinnell J (1917) The niche-relationships of the California Thrasher. Auk 34:427-433.
3. Grinnell J (1917) Field tests of theories concerning distributional control. Am Nat 51:115-128.
4. Hutchinson GE (1957) Concluding remarks. Cold Spring Harbor Symp Quant Biol 22:415-427.
5. Hutchinson GE (1978) An Introduction to Population Ecology (Yale Univ Press, New Haven, CT).
6. Pearce J, Boyce MS (2006) Modeling distribution and abundance with presence-only data. J Appl Ecol 43:405-412.
7. Guisan A, ZimmermannN(2000) Predictive habitat distribution models in ecology. Ecol Model 135:147-186.
8. Hirzel AH, Le Lay G (2008) Habitat suitability modeling and niche theory. J Appl Ecol 45:1372-1381.
9. Peterson AT (2001) Predicting species' geographic distributions based on ecological niche modeling. Condor 103:599-605.
10. Kearney M (2006) Habitat, environment, and niche: What are we modeling? Oikos 115:186-191.
11. Jiménez-Valverde A, Lobo JM, Hortal J (2008) Not as good as they seem: The importance of concept in species distribution modeling. Diversity Distributions 14:885-890.
12. Wisz MS, et al. (2008) Effects of sample size on the performance of species distribution models. Diversity Distributions 14:763-773.
13. Jiménez-Valverde A, Lobo JM (2006) The ghost of unbalanced species distribution data in geographical model predictions. Diversity Distributions 12:521-524.
14. Araújo MB, Thuiller W, Williams PH, Reginster I (2005) Downscaling European species atlas distributions to a finer resolution: Implications for conservation planning. Global Ecol Biogeogr 14:17-30.
15. Brotons L, Thuiller W, AraújoM, HirzelA(2004) Presence-absence versus presence-only modeling methods for predicting bird habitat suitability. Ecography 27:437-448.
16. Peterson AT, Papes M, Soberón J (2008) Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol Model 213:63-72.
17. Araújo MB, Guisan A (2006) Five (or so) challenges for species distribution modelling. Global Ecol Biogeogr 33:1677-1688.
18. Austin M (1996) An ecological perspective on biodiversity investigations: Examples from Australian eucalypt forests. Ann Mo Bot Gard 85:2-17.
19. Soberón J, Peterson AT (2005) Interpretation of models of fundamental ecological niches and species' distributional areas. Biodiversity Informatics 2:1-10.
20. Pulliam HR (2000) On the relationship between niche and distribution. Ecol Lett 3:349-361.
21. Chase JM, Leibold M (2003) Ecological Niches: Linking Classical and Contemporary Approaches (Univ Chicago Press, Chicago).
22. Leibold M (1996) The niche concept revisited: Mechanistic models and community context. Ecology 76:1371-1382.
23. Jackson ST, Overpeck JT (2000) Responses of plant populations and communities to environmental changes of the late Quaternary. Paleobiology 26(Suppl):194-220.
24. Soberón J (2007) Grinnellian and Eltonian niches and geographic distributions of species. Ecol Lett 10:1115-1123.
25. James FC, Johnston RF, Warner NO, Niemi G, BoecklenW(1984) The Grinnellian niche of the Wood Thrush. Am Nat 124:17-47.
26. Colwell RK, Fuentes E (1975) Experimental studies of the niche. Annu Rev Ecol Syst 6:281-310.
27. Hijmans RJ, Cameron S, Parra J, Jones PG, Jarvis A (2005) Very high-resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965-1978.
28. Kearney M, Porter WP (2009) Mechanistic niche modeling: Combining physiological and spatial data to predict species' ranges. Ecol Lett 12:334-350.
29. Pulliam R (2000) On the relationship between niche and distribution. Ecol Lett 3:349-361.
30. Guisan A, ThuillerW(2005) Predicting species distribution: Offering more than simple habitat models. Ecol Lett 8:993-1009.
31. Openshaw S, Taylor PJ (1981) The modifiable areal unit problem. Quantitative Geography: A British View, eds Wrigley N, Bennet RJ (Routledge, London).
32. Fotheringham SA, Brundson C, Charlton M (2000) Quantitative Geography (SAGE, London).
33. Broennimann O, et al. (2007) Evidence of climatic niche shift during biological invasion. Ecol Lett 10:701-709.
34. Huntley B, Bartlein PJ, Prentice IC (1989) Climatic control of the distribution and abundance of beech (Fagus L.) in Europe and North America. J Biogeogr 16:551-560.
35. Holt RD, Gaines MS (1992) Analysis of adaptation in heterogeneous landscapes: Implications for the evolution of fundamental niches. Evol Ecol 6:433-447.
36. Holt RD, Gomulkiewicz R (1997) in Case Studies in Mathematical Modeling: Ecology, Physiology, and Cell Biology, eds Othmer HG, Adler F, Lewis M, Dillon JM (Prentice-Hall, Englewood Cliffs, NJ), pp 25-50.
37. Peterson AT (2003) Predicting the geography of species' invasions via ecological niche modeling. Q Rev Biol 78:419-433.
38. Peterson AT, Soberón J, Sánchez-Cordero V (1999) Conservatism of ecological niches in evolutionary time. Science 285:1265-1267.
39. Losos JB (2008) Phylogenetic niche conservatism, phylogenetic signal, and the relationship between phylogenetic relatedness and ecological similarity among species. Ecol Lett 11:995-1007.
40. Pearman PB, Guisan A, Broennimann O, Randin C (2007) Niche dynamics in space and time. Trends Ecol Evol 23:149-158.
41. Wiens J, Graham C (2005) Niche conservatism: Integrating evolution, ecology, and conservation biology. Annu Rev Ecol Syst 36:519-539.
42. AckerlyDD(2003) Community assembly, niche conservatism, and adaptive evolution in changing environments. Int J Plant Sci 164:S165-S184.
43. Colwell RK, Futuyma D (1971) On the measurement of niche breadth and overlap. Ecology 52:567-576.
44. Haldane JBS (1949) Suggestions as to a quantitaive measurment of rates of evolution. Evolution (Lawrence, Kans) 3:51-56.
45. Hight SD, et al. (2002) Expanding geographical range of Cactoblastis cactorum (Lepidoptera: Pyralidae) in North America. Florida Entomol 85:527-529.
46. Randin CF, et al. (2006) Are niche-based models transferable in space? J Biogeogr 33:1689-1703.
47. McGill BJ, Enquist BJ, Weiher E, WestobyM(2006) Rebuilding community ecology from functional traits. Trends Ecol Evol 21:179-185.
48. Thompson JN (2005) The Geographic Mosaic of Coevolution (Univ Chicago Press, Chicago).
49. Davis AJ, Jenkinson LS, Lawton JH, Shorrocks B, Wood S (1998) Making mistakes when predicting shifts in species range in response to global warming. Nature 391:783-786.
50. Heikkinen RK, Luoto M, Virkkala R, Pearson RG, Korber J-H (2007) Biotic interactions improve prediction of boreal bird distributions at macro scales. Global Ecol Biogeogr 16:754-763.
51. Feria P, Peterson AT (2002) Prediction of bird community composition based on point-occurrence data and inferential algorithms: A valuable tool in biodiversity assessments. Diversity Distributions 8:49-56.
52. Raxworthy CJ, et al. (2003) Predicting distributions of known and unknown reptile species in Madagascar. Nature 426:837-841.
53. Sanchez-Cordero V, Martínez-Meyer E (2000) Museum specimen data predict crop damage by tropical rodents. Proc Natl Acad Sci USA 97:7074-7077.
54. Brewer A, Gaston KJ (2003) The geographical range structure of the holly leaf-miner. II. Demographic rates. J Anim Ecol 72:82-93.
55. Prinzing A, DurkaW,Klotz S, BrandlR(2002) Geographic variability of ecological niches of plant species: Are competition and stress relevant? Ecography 25:721-729.
56. Pearson RG, Dawson TP (2003) Predicting the impacts of climate change on the distribution of species: Are bioclimatic envelopes useful? Global Ecol Biogeogr 12:361-371.
57. Leathwick JR, Austin M (2001) Competitive interactions between tree species in New Zealand's old-growth indigenous forest. Ecology 82:2560-2573.
58. Bullock JM, Edwards RJ, Carey PD, Rose RJ (2000) Geographical separation of two Ulex species at three spatial scales: Does competition limit species' ranges? Ecography 23:257-271.
59. Lawler JJ, White D, Neilson RP, Blaustein AR (2006) Predicting climate-induced range shifts: Model differences and model reliability. Global Change Biol 12:1568-1584.
60. Elith J, Burgman M (2002) in Predicting Species Occurrences: Issues of Scale and Accuracy, eds Scott JM, Heglund PJ, Morrison ML (Island, Washington, DC), pp 303-313.
61. Elith J, et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129-151.
62. Sagarin R, Gaines S, Gaylord B (2006) Moving beyond assumptions to understand abundance distributions across ranges of species. Trends Ecol Evol 21:524-530.
63. Phillips S, et al. (2009) Sample selection bias and presence-only distribution models: Implications for background and pseudo-absence data. Ecol Appl 19:181-197.
64. Phillips S, Dudík M (2008) Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography 31:161-175.
65. Ward G, Hastie T, Barry S, Elith J, Leathwick JR (2009) Presence-only data and the EM algorithm. Biometrics 65:554-563.
66. Graham C, Ferrier S, Huettman F, Moritz C, Peterson AT (2004) New developments in museum-based informatics and applications in biodiversity analysis. Trends Ecol Evol 19:497-503.
67. Bojórquez-Tapia LA, Balvanera P, Cuaron AD (1994) Biological inventories and computer databases: Their role in environmental assessments. Environ Manage 18:775-785.
68. Argaez J, Christen A, Nakamura M, Soberón J (2005) Prediction of potential areas of species distributions based on presence-only data. Environ Ecol Stat 12:27-44.
69. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231-259.
70. Stockwell DRB, Peters DP (1999) The GARP modeling system: Problems and solutions to automated spatial prediction. Int J Geogr Information Syst 13:143-158.
71. Anderson RP, Lew D, Peterson AT (2003) Evaluating predictive models of species' distributions: Criteria for selecting optimal models. Ecol Model 162:211-232.
72. Papes M, Gaubert P (2007) Modelling ecological niches from low numbers of occurrences: Assessment of the conservation status of poorly known viverrids. Diversity Distributions 13:890-902.
73. Busby JR, Margules CR, Austin MP (1991) in Nature Conservation: Cost Effective Biological Surveys and Data Analysis, eds Margules CR, Austin MP (CSIRO, Melbourne, Australia), p 64.
74. Guo Q, Kelly M, Graham CH (2005) Support vector machines for predicting distribution of Sudden Oak Death in California. Ecol Model 182:75-90.
75. Farber O,KadmonR(2003) Assessment of alternative approaches for bioclimaticmodeling with special emphasis on the Mahalanobis distance. Ecol Model 160:115-130.
76. Austin MP (2002) Spatial prediction of species distribution: An interface between ecological theory and statistical modeling. Ecol Model 157:101-118.
77. Colwell R, Rangel T (2009) Hutchinson's duality: The once and future niche. Proc Natl Acad Sci USA 106:19651-19658.
78. Ackerley D (2009) Conservatism and diversification of plant functional traits: Evolutionary rates versus phylogenetic signal. Proc Natl Acad Sci USA 106:19699-19706.