Patterns and causes of species richness: A general simulation model for macroecology

Ecology Letters

Volumn 12, Issue 9, 2009, Pages 873-886

  Gotelli, Nicholas J ^a   Anderson, Marti J ^b   Arita, Hector T ^c   Chao, Anne ^d   Colwell, Robert K ^e   Connolly, Sean R ^f   Currie, David J ^g   Dunn, Robert R ^h   Graves, Gary R ⁱ   Green, Jessica L ^j   Grytnes, John Arvid ^k   Jiang, Yi Huei ^d   Jetz, Walter ^m   Kathleen Lyons, S ⁱ   McCain, Christy M ⁿ   Magurran, Anne E ^o   Rahbek, Carsten ^p   Rangel, Thiago F L V B ^e   Soberón, Jorge ^q   Webb, Campbell O ^l   Willig, Michael R ^e   more..

^a UNIVERSITY OF VERMONT   (United States)

^b MASSEY UNIVERSITY   (New Zealand)

^c INSTITUTO DE INVESTIGACIONES EN ECOSISTEMAS Y SUSTENTABILIDAD   (Mexico)

^d NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^e UNIVERSITY OF CONNECTICUT   (United States)

^f JAMES COOK UNIVERSITY   (Australia)

^g UNIVERSITY OF OTTAWA   (Canada)

^h NORTH CAROLINA STATE UNIVERSITY   (United States)

ⁱ DEPARTMENT OF PALEOBIOLOGY   (United States)

^j UNIVERSITY OF OREGON   (United States)

^k UNIVERSITY OF BERGEN   (Norway)

^l HARVARD UNIVERSITY   (United States)

^m UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

ⁿ UNIVERSITY OF COLORADO   (United States)

^o UNIVERSITY OF ST ANDREWS   (United Kingdom)

^p UNIVERSITY OF COPENHAGEN   (Denmark)

^q UNIVERSITY OF KANSAS   (United States)

more..

Author keywords

Biogeography; Geographical range; Macroecology; Mechanistic simulation modelling; Mid domain effect; Species richness

Indexed keywords

BIOGEOGRAPHY; CONCEPTUAL FRAMEWORK; ECOLOGICAL MODELING; ENVIRONMENTAL FACTOR; ENVIRONMENTAL GRADIENT; GEOGRAPHICAL REGION; HISTORICAL ECOLOGY; MACROECOLOGY; PHYLOGENY; SPECIES RICHNESS;

ARTICLE; BIODIVERSITY; BIOLOGICAL MODEL; ECOLOGY; METHODOLOGY;

BIODIVERSITY; ECOLOGY; MODELS, BIOLOGICAL;

EID: 68849132448     PISSN: 1461023X     EISSN: 14610248     Source Type: Journal    
DOI: 10.1111/j.1461-0248.2009.01353.x     Document Type: Article

References (113)

1. Allen, A.P. Gillooly, J.F. (2006). Assessing latitudinal gradients in speciation rates and biodiversity at the global scale. Ecol. Lett., 9, 947 954.
2. Allen, A.P., Brown, J.H. Gillooly, J.F. (2002). Global biodiversity, biochemical kinetics, and the energetic-equivalence rule. Science, 297, 1545 1548.
3. Allen, A.P., Gillooly, J.F., Savage, V.M. Brown, J.H. (2006). Kinetic effects of temperature on rates of genetic divergence and speciation. Proc. Natl Acad. Sci. USA, 105, 9130 9135.
4. Alroy, J. (2008). Dynamics of origination and extinction in the marine fossil record. Proc. Natl Acad. Sci. USA, 208, 11536 11542.
5. Anderson, M.J. (2006). Distance-based tests for homogeneity of multivariate dispersions. Biometrics, 62, 245 253.
6. Anderson, M.J., Ellingsen, K.E. McArdle, B.H. (2006). Multivariate dispersion as a measure of beta diversity. Ecol. Lett., 9, 683 693.
7. Araújo, M.B., Pearson, R.G., Thuiller, W. Erhard, M. (2005). Validation of species-climate impact models under climate change. Global Change Biology, 11, 1504 1513.
8. Arita, H.T. Rodriguez, P. (2002). Geographic range, turnover rate and the scaling of species diversity. Ecography, 25, 541 550.
9. Arita, H.T. Vázquez-Dominguez, E. (2008). The tropics: cradle, museum or casino? A dynamic null model for latitudinal gradients of species diversity. Ecol. Lett., 11, 653 663.
10. Arita, H.T., Christen, J.A., Rodriguez, P. Soberon, J. (2008). Species diversity and distribution in presence-absence matrices: mathematical relationships and biological implications. Am. Nat., 172, 519 532.
11. Blomberg, S.P., Garland, T. Ives, A.R. (2003). Testing for phylogenetic signal in comparative data: behavioral traits are more labile. Evolution, 57, 717 745.
12. Bokma, F., Bokma, J. Mönkkönen, M. (2001). Random processes and geographic species richness patterns: why so few species in the north? Ecography, 24, 43 49.
13. Bongard, J. Lipson, H. (2007). Automated reverse engineering of nonlinear dynamical systems. Proc. Natl Acad. Sci. USA, 104, 9943 9948.
14. Brewer, S., Guiot, J. Torre, F. (2007). Mid-Holocene climate change in Europe: a data-model comparison. Climate of the Past, 3, 499 512.
15. Brooks, D.R. (1990). Parsimony analysis in historical biogeography and coevolution: methodological and theoretical update. Syst. Zool., 39, 14 30.
16. Brown, J.H. (1995). Macroecology. University of Chicago Press, Chicago, IL.
17. Brown, J.H., Gillooly, J.F., Allen, A.P., Savage, V.M. West, G.B. (2004). Toward a metabolic theory of ecology. Ecology, 85, 1771 1789.
18. Burnham, K.P. Anderson, D.R. (2002). Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach, 2nd edn. Springer, New York.
19. Chao, A., Jost, L., Chiang, S.C., Jiang, Y.H. Chazdon, R.L. (2008). A two-stage probabilistic approach to multiple-community similarity indices. Biometrics, 64, 1178 1186.
20. Colwell, R.K. Lees, D.C. (2000). The mid-domain effect: geometric constraints on the geography of species richness. Trends Ecol. Evol., 15, 70 76.
21. Colwell, R.K., Gotelli, N.J., Rahbek, C., Entsminger, G.L., Farrell, C. Graves, G.R. (2009). Peaks, plateaus, canyons, and craters: The complex geometry of simple mid-domain effect models. Evol. Ecol. Res., 11, 355 370.
22. Connolly, S.R. (2005). Process-based models of species distributions and the mid-domain effect. Am. Nat., 166, 1 11.
23. Connolly, S.R. (2009). Macroecological theory and the analysis of species richness gradients. In : Marine Macroecology (eds Witman, J. Roy, K.). University of Chicago Press, Chicago, IL, pp. 279 309.
24. Cracraft, J. (1994). Species-diversity, biogeography, and the evolution of biotas. Am. Zool., 34, 33 47.
25. Curnutt, J.L., Pimm, S.L. Maurer, B.A. (1996). Population variability of sparrows in space and time. Oikos, 76, 131 144.
26. Currie, D.J., Kerr, J.T. Francis, A.P. (1999). Some general propositions about the study of spatial patterns of species richness. Ecoscience, 6, 392 399.
27. Currie, D.J., Mittelbach, G.G., Cornell, H.V., Field, R., Guegan, J.F., Hawkins, B.A. et al. (2004). Predictions and tests of climate-based hypotheses of broad-scale variation in taxonomic richness. Ecol. Lett., 7, 1121 1134.
28. Davies, K.F., Chesson, P., Harrison, S., Inouye, B.D., Melbourne, B.A. Rice, K.J. (2005). Spatial heterogeneity explains the scale dependence of the native-exotic diversity relationship. Ecology, 86, 1602 1610.
29. De Marco, P., Diniz-Filho, J.A.F. Bini, L.M. (2008). Spatial analysis improves species distribution modelling during range expansion. Biol. Lett., 4, 577 580.
30. Diamond, J. (1986). Overview: laboratory experiments, field experiments, and natural experiments. In : Community Ecology (eds Case, T.J. Diamond, J.). Harper & Row, New York, pp. 3 22.
31. Dunn, R.R., Colwell, R.K. Nilsson, C. (2006). The river domain: why are there more species halfway up the river? Ecography, 29, 251 259.
32. Efron, B. Tibshirani, R.J. (1993). An Introduction to the Bootstrap. Chapman & Hall, New York.
33. Elith, J., Graham, C.H., Anderson, R.P., Dudik, M., Ferrier, S., Guisan, A. et al. (2006). Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29, 129 151.
34. FAUNMAP (2009). An Electronic Database Documenting Late Quaternary Distributions of Mammal Species. Available at: http://www.museum.state.il.us/ research/faunmap/aboutfaunmap.html. Last accessed on 26 July 2009.
35. Fitzpatrick, M.C., Gove, A.D., Sanders, N.J. Dunn, R.R. (2008). Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia. Global Change Biology, 14, 1337 1352.
36. Forster, J.R. (1778). Observations made during a voyage round the world, on physical geography, natural history, and ethic philosophy. In : Foundations of Biogeography (eds Lomolino, M.V., Sax, D.F. Brown, J.H.). University of Chicago Press, Chicago, IL, pp. 19 27.
37. Gotelli, N.J. (2000). Null model analysis of species co-occurrence patterns. Ecology, 81, 2606 2621.
38. Gotelli, N.J., Entsminger, G.L., Rahbek, C., Colwell, R.K. Graves, G.R. (2007) BioGeoSim. Version 1.0. Acquired Intelligence Inc. & Kesey-Bear. Available at: http://www.garyentsminger.com/biogeosim/biogeosim.htm. Last accessed on 26 July 2009.
39. Graham, C.H. Fine, P.V.A. (2008). Phylogenetic beta diversity: linking ecological and evolutionary processes across space in time. Ecol. Lett., 11, 1265 1277.
40. Graves, G.R. Rahbek, C. (2005). Source pool geometry and the assembly of continental avifaunas. Proc. Natl Acad. Sci. USA, 102, 7871 7876.
41. Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W.M., Railsback, S.F. et al. (2005). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science, 310, 987 991.
42. Grytnes, J.A. (2003). Ecological interpretations of the mid-domain effect. Ecol. Lett., 6, 883 888.
43. Guralnick, R. Van Cleve, J. (2005). Strengths and weaknesses of museum and national survey data sets for predicting regional species richness: comparative and combined approaches. Divers. Distrib., 11, 349 359.
44. Harrison, S. Cornell, H.V. (2007). Introduction: Merging evolutionary and ecological approaches to understanding geographic gradients in species richness. Am. Nat., 170, S1 S4.
45. Hawkins, B.A., Field, R., Cornell, H.V., Currie, D.J., Guegan, J.F., Kaufman, D.M. et al. (2003). Energy, water, and broad-scale geographic patterns of species richness. Ecology, 84, 3105 3117.
46. Hawkins, B.A., Albuquerque, F.S., Araújo, M.B., Beck, J., Bini, L.M., Cabrero-Sanudo, F.J. et al. (2007). A global evaluation of metabolic theory as an explanation for terrestrial species richness gradients. Ecology, 88, 1877 1888.
47. Heard, S.B. Cox, G.H. (2007). The shapes of phylogenetic trees of clades, faunas, and local assemblages: exploring spatial pattern in differential diversification. Am. Nat., 169, E107 E118.
48. Hubbell, S.P. (2001). The Unified Neutral Theory of Biodiversity and Biogeography. Princeton University Press, Princeton, NJ.
49. Hurlbert, A.H. Jetz, W. (2007). Species richness, hotspots, and the scale dependence of range maps in ecology and conservation. Proc. Natl Acad. Sci. USA, 104, 13384 13389.
50. Iverson, L.R., Schwartz, M.W. Prasad, A. (2004). How fast far might tree species migrate in the eastern United States due to climate change. Glob. Ecol. Biogeogr., 13, 209 219.
51. Jablonski, D. (2008). Extinction and the spatial dynamics of biodiversity. Proceedings of the National Academy of Sciences, 105, 11528 11535.
52. Jablonski, D., Roy, K. Valentine, J.M. (2006). Out of the tropics: evolutionary dynamics of the latitudinal diversity gradient. Science, 314, 102 106.
53. Jetz, W. Rahbek, C. (2001). Geometric constraints explain much of the species richness pattern in African birds. Proc. Natl Acad. Sci. USA, 98, 5661 5666.
54. Jetz, W., Rahbek, C. Colwell, R.K. (2004). The coincidence of rarity and richness and the potential signature of history in centres of endemism. Ecol. Lett., 7, 1180 1191.
55. Jost, L. (2007). Partitioning diversity into independent alpha and beta components. Ecology, 88, 2427 2439.
56. Keith, D.A., Akçakaya, H.R., Thuiller, W., Midgley, G.F., Pearson, R.G., Phillips, S.J. et al. (2008). Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biol. Lett., 4, 560 563.
57. Keitt, T.H., Lewis, M.A. Holt, R.D. (2001). Allee effects, invasion pinning, and species' borders. Am. Nat., 157, 203 216.
58. Kelly, C.T. (1999). Iterative Methods for Optimization. SIAM, Philadelphia, PA.
59. Kullback, S. Leibler, R.A. (1951). On information and sufficiency. Ann. Math. Stat., 22, 79 86.
60. Latimer, A.M., Wu, S.S., Gelfand, A.E. Silander, J.A. (2006). Building statistical models to analyze species distributions. Ecol. Appl., 16, 33 50.
61. Lehmann, E.L. Casella, G. (1998). Theory of Point Estimation, 2nd edn. Springer, New York.
62. Levins, R. (1969). Some demographic and genetic consequences of environmental heterogeneity for biological control. Bull. Entomol. Soc. Am., 15, 237 240.
63. Losos, J.B. (2008). Phylogenetic niche conservatism, phylogenetic signal and the relationship between phylogenetic relatedness and ecological similarity among species. Ecol. Lett., 11, 995 1003.
64. Lyons, S.K. Willig, M.R. (2002). Species richness, latitude, and scale-sensitivity. Ecology, 83, 47 58.
65. Mac Nally, R. (2002). Multiple regression and inference in ecology and conservation biology: further comments on identifying important predictor variables. Biodivers. Conserv., 11, 1397 1401.
66. MacArthur, R.H. Wilson, E.O. (1967). The Theory of Island Biogeography. Princeton University Press, Princeton, NJ.
67. Mathias, P.V.C., Mendonca, C.V., Rangel, T. Diniz, J.A.F. (2004). Sensitivity of macroecological patterns of South American parrots to differences in data sources. Glob. Ecol. Biogeogr., 13, 193 198.
68. Maurer, B.A. (1999). Untangling Ecological Complexity: The Macroscopic Perspective. University of Chicago Press, Chicago, IL.
69. McCain, C.M. (2007). Could temperature and water availability drive elevational species richness patterns? A global case study for bats. Glob. Ecol. Biogeogr., 16, 1 13.
70. McPherson, J.M. Jetz, W. (2007). Effects of species' ecology on the accuracy of distribution models. Ecography, 30, 135 151.
71. Mittelbach, G.G., Steiner, C.F., Scheiner, S.M., Gross, K.L., Reynolds, H.L., Waide, R.B. et al. (2001). What is the observed relationship between species richness and productivity? Ecology, 82, 2381 2396.
72. Mittelbach, G.G., Schemske, D.W., Cornell, H.V., Allen, A.P., Brown, J.M., Bush, M.B. et al. (2007). Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography. Ecol. Lett., 10, 315 331.
73. Morrone, J.J. Crisci, J.V. (1995). Historical biogeography: introduction to methods. Annu. Rev. Ecol. Syst., 26, 373 401.
74. Nelson, G. Platnick, N.I. (1980). A vicariance approach to historical biogeography. Bioscience, 30, 339 343.
75. Nogués-Bravo, D., Araújo, M.B., Romdal, T. Rahbek, C. (2008). Scale effects and human impact on the elevational species richness gradients. Nature, 453, 216 220.
76. O'Brien, E.M. (1998). Water-energy dynamics, climate, and prediction of woody plant species richness: an interim general model. J. Biogeogr., 25, 379 398.
77. O'Brien, E.M. (2006). Biological relativity to water-energy dynamics. J. Biogeogr., 33, 1868 1888.
78. Palmer, M.W. (1994). Variation in species richness - towards a unification of hypotheses. Folio Geobot & Phytotx, 29, 511 530.
79. Pearson, R.G. Dawson, T.P. (2003). Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Glob. Ecol. Biogeogr., 12, 361 371.
80. Pennington, R.T. Dick, C.W. (2004). The role of immigrants in the assembly of the South American rainforest tree flora. Philos. Trans. R. Soc. Lond. B, Biol. Sci., 359, 1611 1622.
81. Phillimore, A.B. Price, T.D. (2008). Density-dependent cladogenesis in birds. PLoS Biol., 6, 483 489.
82. Pimm, S.L. Brown, J.H. (2004). Domains of diversity. Science, 304, 831 833.
83. Platnick, N.I. Nelson, G. (1978). A method of analysis for historical biogeography. Syst. Zool., 27, 1 16.
84. Rahbek, C., Gotelli, N.J., Colwell, R.K., Entsminger, G.L., Rangel, T.F.L.V.B. Graves, G.R. (2007). Predicting continental-scale patterns of bird species richness with spatially explicit models. Proc. R. Soc. Lond., B, Biol. Sci., 274, 165 174.
85. Rangel, T.F.L.V.B. Diniz-Filho, J.A.F. (2005a). An evolutionary tolerance model explaining spatial patterns in species richness under environmental gradients and geometric constraints. Ecography, 28, 253 263.
86. Rangel, T.F.L.V.B. Diniz-Filho, J.A.F. (2005b). Neutral community dynamics, the mid-domain effect and spatial patterns in species richness. Ecol. Lett., 8, 783 790.
87. Rangel, T.F.L.V.B., Diniz-Filho, J.A.F. Bini, L.M. (2006). Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Glob. Ecol. Biogeogr., 15, 321 327.
88. Rangel, T.F.L.V.B., Diniz-Filho, J.A.F. Colwell, R.K. (2007). Species richness and evolutionary niche dynamics: a spatial pattern-oriented simulation experiment. Am. Nat., 170, 602 616.
89. Ricklefs, R.E. (2003). A comment on Hubbell's zero-sum ecological drift model. Oikos, 100, 185 192.
90. Rohde, K. (1992). Latitudinal gradients in species diversity: the search for the primary cause. Oikos, 65, 514 527.
91. Rosen, D.E. (1978). Vicariant patterns and historical explanations in biogeography. Syst. Zool., 27, 159 188.
92. Rosenzweig, M.L. (1995). Species Diversity in Space and Time. Cambridge University Press, Cambridge, U.K.
93. Rosenzweig, M.L. Abramsky, Z. (1997). Two gerbils of the Negev: a long-term investigation of optimal habitat selection and its consequences. Evol. Ecol., 11, 733 756.
94. Roy, K. Goldberg, E.E. (2007). Origination, extinction, and dispersal: Integrative models for understanding present-day diversity gradients. Am. Nat., 170, S71 S85.
95. Salzmann, U., Haywood, A.M., Lunt, D.J., Valdes, P.J. Hill, D.J. (2008). A new global biome reconstruction and data-model comparison for the Middle Pliocene. Glob. Ecol. Biogeogr., 17, 432 447.
96. Scott, J.M., Heglund, P.J., Morrison, M.L., Haufler, J.B., Raphael, M.G., Wall, W.A. et al. (eds 2002) Predicting Species Occurrences: Issues of Accuracy and Scale. Island Press, Washington, DC.
97. Shipley, B. (2009). Confirmatory path analysis in a generalized multi-level context. Ecology, 90, 363 368.
98. Storch, D., Davies, R.G., Zajicek, S., Orme, C.D.L., Olson, V., Thomas, G.H. et al. (2006). Energy, range dynamics and global species richness patterns: reconciling mid-domain effects and environmental determinants of avian diversity. Ecol. Lett., 9, 1308 1320.
99. Swenson, N.G. Howard, D.J. (2005). Clustering of contact zones, hybrid zones, and phylogeographic breaks in North America. Am. Nat., 166, 581 591.
100. Thuiller, W. (2003). BIOMOD - optimizing predictions of species distributions and projecting potential future shifts under global change. Glob. Chang. Biol., 9, 1353 1362.
101. Thuiller, W., Albert, C., Araujo, M.B., Berry, P.M., Cabeza, M., Guisan, G. et al. (2008). Predicting global change impacts on plant species distributions: future challenges. Perspect. Plant Ecol. Evol. Syst., 9, 137 152.
102. Tsay, R.S. (1992). Model checking via parametric bootstraps in time series analysis. Appl. Stat., 41, 1 15.
103. Ulrich, W., Almeid-Neto, M. Gotelli, N.J. (2009). A consumer's guide to nestedness analysis. Oikos, 118, 3 17.
104. Vetaas, O.R. (2006). Biological relativity to water-energy dynamics: a potential unifying theory? J. Biogeogr., 33, 1866 1867.
105. Wallace, A.R. (1878). Tropical Nature and Other Essays. Macmillan, London, U.K.
106. Waller, L.A., Smith, D., Childs, J.E. Real, L.A. (2003). Monte Carlo assessments of goodness-of-fit for ecological simulation models. Ecological Modelling, 164, 49 63.
107. Webb, C.O. (2000). Exploring the phylogenetic structure of ecological communities: an example for rain forest trees. Am. Nat., 156, 145 155.
108. White, G.C. (2002). Discussion comments on: the use of auxiliary variables in capture-recapture modelling. An overview. J Appl Stat, 29, 103 106.
109. White, E.P., Adler, P.B., Lauenroth, W.K., Gill, R.A., Greenberg, D., Kaufman, D.M. et al. (2006). A comparison of the species-time relationship across ecosystems and taxonomic groups. Oikos, 112, 185 195.
110. Wiens, J.J. Donoghue, M.J. (2004). Historical biogeography, ecology, and species richness. Trends Ecol. Evol., 19, 639 644.
111. Wiens, J.J. Graham, C.H. (2005). Niche conservatism: integrating evolution, ecology, and conservation biology. Annu. Rev. Ecol. Syst., 36, 519 539.
112. Willig, M.R., Kaufman, D.M. Stevens, R.D. (2003). Latitudinal gradients of biodiversity: pattern, process, scale, and synthesis. Ann. Rev. Ecol. Evol. Syst., 34, 273 309.
113. Wright, D.H. (1983). Species-energy theory - an extension of species-area theory. Oikos, 41, 496 506.