Predicting the geography of species' invasions via ecological niche modeling

Quarterly Review of Biology

Volumn 78, Issue 4, 2003, Pages 419-433

  Peterson, A Townsend ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Ecological niche models; Geographic information systems; Invasive species; Niche evolution; Predictive modeling

Indexed keywords

FRESH WATER;

ALGORITHM; ANIMAL; BIODIVERSITY; BIOLOGICAL MODEL; CLIMATE; ECOLOGY; ECOSYSTEM; GENETICS; GEOGRAPHY; HUMAN; HYDROCHARITACEAE; POPULATION GENETICS; REVIEW; RISK ASSESSMENT; SPECIES DIFFERENCE;

ALGORITHMS; ANIMALS; BIODIVERSITY; CLIMATE; ECOLOGY; ECOSYSTEM; FRESH WATER; GENETICS, POPULATION; GEOGRAPHY; HUMANS; HYDROCHARITACEAE; MODELS, GENETIC; RISK ASSESSMENT; SPECIES SPECIFICITY;

ANIMALIA; HYDROCHARITACEAE;

EID: 0347033478     PISSN: 00335770     EISSN: None     Source Type: Journal    
DOI: 10.1086/378926     Document Type: Review

References (89)

1. Anderson R P, Gómez-Laverde M, Peterson A T. 2002. Geographical distributions of spiny pocket mice in South America; insights from predictive models. Global Ecology and Biogeography 11:131-141.
2. Anderson R P, Lew D, Peterson A T. 2003. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecological Modelling 162:211-232.
3. Austin M P, Nicholls A O, Margules C R. 1990. Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species. Ecological Monographs 60:161-177.
4. Breininger D R. 1999. Florida scrub-jay demography and dispersal in a fragmented landscape. Auk 116:520-527.
5. Brown J S, Pavlovic N B. 1992. Evolution in heterogeneous environments: effects of migration on habitat specialization. Evolutionary Ecology 6:360-382.
6. Burkey T V. 1995. Extinction rates in archipelagoes: implications for populations in fragmented habitats. Conservation Biology 9:527-541.
7. Carlton J T. 1996. Pattern, process, and prediction in marine invasion ecology. Biological Conservation 78:97-106.
8. Carpenter G, Gillison A N, Winter J. 1993. DOMAIN: a flexible modeling procedure for mapping potential distributions of plants and animals. Biodiversity and Conservation 2:667-680.
9. Chapin F S, III, Zavaleta E S, Eviner V T, Naylor R L, Vitousek P M, Reynolds H L, Hooper D U, Lavorel S, Sala O E, Hobbie S E, Mack M C, Diaz S. 2000. Consequences of changing biodiversity. Nature 405:234-242.
10. Davis A J, Jenkinson L S, Lawton J H, Shorrocks B, Wood S. 1998. Making mistakes when predicting shifts in species range in response to global warming. Nature 391:783-786.
11. Elton C. 1927. Animal Ecology. London: Sidgwich & Jackson.
12. Enserink M. 1999. Biological invaders sweep in. Science 285:1834-1836.
13. Etterson J R, Shaw R G. 2001. Constraint to adaptive evolution in response to global warming. Science 294:151-154.
14. Feria T P, Peterson A T. 2002. Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments. Diversity and Distributions 8:49-56.
15. Fielding A H, Bell J F. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24:38-49.
16. Grinnell J. 1917. Field tests of theories concerning distributional control. American Naturalist 51:115-128.
17. Grinnell J. 1924. Geography and evolution. Ecology 5:225-229.
18. Hargrove W W, Gardner R H, Turner M G, Romme W H, Despain D G. 2000. Simulating fire patterns in heterogeneous landscapes. Ecological Modelling 135:243-263.
19. Hastings A. 1996. Models of spatial spread: is the theory complete? Ecology 77:1675-1679.
20. Higgins S I, Richardson D M, Cowling R M, Trinder-Smith T H. 1999. Predicting the landscape-scale distribution of alien plants and their threat to plant diversity. Conservation Biology 13:303-313.
21. Hobbs R J, Humphries S E. 1995. An integrated approach to the ecology and management of plant invasions. Conservation Biology 9:761-770.
22. Hoffmann M H. 2001. The distribution of Senecio vulgaris: capacity of climatic range models for predicting adventitious ranges. Flora 196:395-403.
23. Holt R D. 1996a. Adaptive evolution in source-sink environments: direct and indirect effects of density-dependence on niche evolution. Oikos 75:182-192.
24. Holt R D. 1996b. Demographic constraints in evolution: towards unifying the evolutionary theories of senescence and niche conservatism. Evolutionary Ecology 10:1-11.
25. Holt R D, Gaines M S. 1992. Analysis of adaptation in heterogeneous landscapes: implications for the evolution of fundamental niches. Evolutionary Ecology 6:433-447.
26. Holt R D, Gomulkiewicz R. 1996. The evolution of species' niches: population dynamic perspectives. Pages 25-50 in Case Studies in Mathematical Modeling: Ecology, Physiology, and Cell Biology, edited by H G Othmer et al. Saddle River (NJ): Prentice Hall.
27. Honig M A, Cowling R M, Richardson D M. 1992. The invasive potential of Australian banksias in South-African fynbos - a comparison of the reproductive potential of Banksia ericifolia and Leucadendron laureolum. Australian Journal of Ecology 17:305-314.
28. Huntley B, Bartlein P J, Prentice I C. 1989. Climatic control of the distribution and abundance of beech (Fagus L.) in Europe and North America. Journal of Biogeography 16:551-560.
29. Hutchinson G E. 1957. Concluding remarks. Pages 415-427 in Population Studies: Animal Ecology and Demography. Cold Spring Harbor Symposia on Quantitative Biology, Volume 22. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press.
30. Inouye D W, Barr B, Armitage K B, Inouye B D. 2000. Climate change is affecting altitudinal migrants and hibernating species. Proceedings of the National Academy of Sciences 97:1630-1633.
31. Kambhampati S, Clark J W, Brock B L. 2002. Evolution of host-and habitat association in a cockroach, Cryptocercus. Biological Journal of the Linnean Society 75:163-172.
32. Kareiva P. 1996. Developing a predictive ecology for non-indigenous species and ecological invasions. Ecology 77:1651-1652.
33. Karl T R, Knight R W, Easterling D R, Quayle R G. 1996. Indices of climate change for the United States. Bulletin of the American Meteorological Society 77:279-292.
34. Kawecki T J. 1995. Demography of source-sink populations and the evolution of ecological niches. Evolutionary Ecology 9:38-44.
35. Kawecki T J, Stearns S C. 1993. The evolution of life histories in spatially heterogeneous environments: optimal reaction norms revisited. Evolutionary Ecology 7:155-174.
36. Kovats R S, Campbell-Lendrum D H, McMichael A J, Woodward A, Cox J St. H. 2001. Early effects of climate change: do they include changes in vector-borne disease? Philosophical Transactions of the Royal Society of London B 356:1057-1068.
37. Langeland K A. 1996. Hydrilla verticillata (L.F.) Royle (Hydrocharitaceae), "The perfect aquatic weed". Castanea 61:293-304.
38. Lonsdale W M. 1994. Inviting trouble: introduced pasture species in northern Australia. Australian Journal of Ecology 19:345-354.
39. MacArthur R H. 1972. Geographical Ecology: Patterns in the Distribution of Species. New York: Harper & Row.
40. Magnuson J. 2000. 150-year global ice record reveals major warming trend. Inter-American Institute of Global Change Research Newsletter 24:22-25.
41. Malanson G P, Westman W E, Yan Y-L. 1992. Realized versus fundamental niche functions in a model of chaparral response to climatic change. Ecological Modelling 64:261-277.
42. Manel S, Dias J M, Buckton S T, Ormerod S J. 1999. Alternative methods for predicting species distribution: an illustration with Himalayan river birds. Journal of Applied Ecology 36:734-747.
43. Martin T E. 2001. Abiotic vs. biotic influences on habitat selection of coexisting species: climate change impacts? Ecology 82:175-188.
44. Martin W K. 1996. The current and potential distribution of the common myna Acridotheres tristis in Australia. Emu 96:166-173.
45. Martínez-Meyer E. 2002. Evolutionary trends in ecological niches of species [PhD dissertation]. Lawrence (KS): University of Kansas.
46. Moyle P B, Light T. 1996. Fish invasions in California: do abiotic factors determine success? Ecology 77:1666-1670.
47. [NAS] National Research Council: Committee on the Scientific Basis for Predicting the Invasive Potential of Nonindigenous Plants and Plant Pests in the United States. 2002. Predicting Invasions of Nonindigenous Plants and Plant Pests. Washington (DC): National Academy of Sciences.
48. Nix H A. 1986. A biogeographic analysis of Australian elapid snakes. Pages 4-15 in Snakes: Atlas of Elapid Snakes of Australia, edited by R Longmore. Canberra (Australia): Australian Government Publishing Service.
49. O'Brien K, Liverman D. 1996. Climate change and variability in Mexico. Pages 55-70 in Climate Variability, Climate Change and Social Vulnerability in the Semi-arid Tropics, edited by J C Ribot et al. Cambridge: Cambridge University Press.
50. Panetta F D, Dodd J. 1987. Bioclimatic prediction of the potential distribution of skeleton weed Chondrilla juncea L. in Western Australia. Journal of the Australian Institute of Agricultural Science 53:11-16.
51. Papes M, Peterson A T. 2003. Predictions of the geographic course of the invasion of Ageratina adenophora in China. Journal of Wuhan Botanical Research 21:137-142.
52. Parmesan C. 1996. Climate and species' range. Nature 382:765-766.
53. Parmesan C, Ryrholm N, Stefanescu C, Hill J K, Thomas C D, Descimon H, Huntley B, Kaila L, Kullberg J, Tammaru T, Tennent W J, Thomas J A, Warren M. 1999. Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature 399:579-583.
54. Perrings C, Williamson M, Barbier E B, Delfino D, Dalmazzone S, Shogren J, Simmons P, Watkinson A. 2002. Biological invasion risks and the public good: an economic perspective. Conservation Ecology Online 6.
55. Perrins J, Williamson M, Fitter A. 1992. Do annual weeds have predictable characters? Acta Oecologica 13:517-533.
56. Peterson A T. 2001. Predicting species' geographic distributions based on ecological niche modeling. Condor 103:599-605.
57. Peterson A T, Ball L G, Cohoon K C. 2002a. Predicting distributions of Mexican birds using ecological niche modelling methods. Ibis Online 144:27-32.
58. Peterson A T, Cohoon K P. 1999. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecological Modelling 117:159-164.
59. Peterson A T, Ortega-Huerta M A, Bartley J, Sánchez-Cordero V, Soberón J, Buddemeier R H, Stockwell D R B. 2002b. Future projections for Mexican faunas under global climate change scenarios. Nature 416:626-629.
60. Peterson A T, Papes M, Kluza D A. 2003. Predicting the potential invasive distributions of four alien plant species in North America. Weed Science. In Press.
61. Peterson A T, Robins C R. 2003. When endangered meets invasive: ecological niche modeling predicts double trouble for spotted owls, Strix occidentalis. Conservation Biology 17:1161-1165.
62. Peterson A T, Sánchez-Cordero V, Soberón J, Bartley J, Buddemeier R W, Navarro-Sigüenza A G. 2001. Effects of global climate change on geographic distributions of Mexican Cracidae. Ecological Modelling 144:21-30.
63. Peterson A T, Soberón J, Sánchez-Cordero V. 1999. Conservatism of ecological niches in evolutionary time. Science 285:1265-1267.
64. Peterson A T, Stockwell D R B, Kluza D A. 2002c. Distributional prediction based on ecological niche modeling of primary occurrence data. Pages 617-623 in Predicting Species Occurrences: Issues of Accuracy and Scale, edited by J M Scott et al. Washington (DC): Island Press.
65. Peterson A T, Vieglais D A. 2001. Predicting species invasions using ecological niche modeling: new approaches from bioinformatics attack a pressing problem. BioScience 51:363-371.
66. Podger F D, Mummery D C, Palzer C R, Brown M J. 1990. Bioclimatic analysis of the distribution of damage to native plants in Tasmania by Phytophthora cinnamomi. Australian Journal of Ecology 15:281-290.
67. Reichard S H, Hamilton C W. 1997. Predicting invasions of woody plants introduced into North America. Conservation Biology 11:193-203.
68. Rejmánek M, Richardson D M. 1996. What attributes make some plant species more invasive? Ecology 77:1655-1661.
69. Ricciardi A, Rasmussen J B. 1998. Predicting the identity and impact of future biological invaders: a priority for aquatic resource management. Canadian Journal of Fisheries and Aquatic Stience 55:1759-1765.
70. Richardson D M, McMahon J P. 1992. A bioclimatic analysis of Eucalyptus nitens to identify potential planting regions in Southern Africa. South African Journal of Science 88:380-387.
71. Ricklefs R E, Latham R E. 1992. Intercontinental correlation of geographical ranges suggests stasis in ecological traits of relict genera of temperate perennial herbs. American Naturalist 139:1305-1321.
72. Root K V. 1998. Evaluating the effects of habitat quality, connectivity, and catastrophes on a threatened species. Ecological Applications 8:854-865.
73. Scott J K, Panetta F D. 1993. Predicting the Australian weed status of southern African plants. Journal of Biogeography 20:87-93.
74. Sindel B M, Michael P W. 1992. Spread and potential distribution of Senecio madagascariensis pior (fireweed) in Australia. Australian Journal of Ecology 17:21-26.
75. Skov F. 2000. Potential plant distribution mapping based on climatic similarity. Taxon 49:503-515.
76. Stockwell D R B. 1999. Genetic algorithms II. Pages 123-144 in Machine Learning Methods for Ecological Applications, edited by A H Fielding. Boston: Kluwer Academic Publishers.
77. Stockwell D R B, Noble I R. 1992. Induction of sets of rules from animal distribution data: a robust and informative method of analysis. Mathematics and Computers in Simulation 33:385-390.
78. Stockwell D R B, Peters D P. 1999. The GARP modelling system: problems and solutions to automated spatial prediction. International Journal of Geographic Information Science 13:143-158.
79. Stockwell D R B, Peterson A T. 2002a. Controlling bias in biodiversity data. Pages 537-546 in Predicting Species Occurrences: Issues of Accuracy and Scale, edited by J M Scott et al. Washington (DC): Island Press.
80. Stockwell D R B, Peterson A T 2002b. Effects of sample size on accuracy of species distribution models. Ecological Modelling 148:1-13.
81. Sutherst R W, Maywald G F, Yonow T, Stevens P M. 1999. CLIMEX User Guide - Predicting the Effects of Climate on Plants and Animals. Victoria (Australia): CSIRO Publishing.
82. Thorp J R, Lynch R. 2000. The Determination of Weeds of National Significance. Launceston (Australia): National Weeds Strategy Executive Committee.
83. Visser M E, van Noordwijk A J, Tinbergen J M, Lessells C M. 1998. Warmer springs lead to mistimed reproduction in great tits (Parus major). Proceedings of the Royal Society B 265:1867-1870.
84. Walther G-R, Post E, Convey P, Menzel A, Parmesan C, Beebee T J C, Fromentin J-M, Hoegh-Guldberg O, Bairlein F. 2002. Ecological responses to recent climate change. Nature 416:389-395.
85. Warwick S I, Thompson B K, Black L D. 1984. Population variation in Sorghum halepense, Johnson grass, at the northern limits of its range. Canadian Journal of Botany 62:1781-1790.
86. Welk E, Schubert K, Hoffmann M H. 2002. Present and potential distribution of invasive garlic mustard (Alliaria petiolata) in North America. Diversity and Distributions 8:219-233.
87. Williamson M. 1996. Biological Invasions. London: Chapman & Hall.
88. Williamson M. 1999. Invasions. Ecography 22:5-12.
89. Williamson M, Fitter A. 1996. The varying success of invaders. Ecology 77:1661-1666.