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Evolutionary dynamics on graphs




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Received 24 September; accepted 16 November 2004; doi:10.1038/nature03211. 1. MacArthur, R. H. & Wilson, E. O. The Theory of Island Biogeography (Princeton Univ. Press, Princeton, 1969). 2. Fisher, R. A., Corbet, A. S. & Williams, C. B. The relation between the number of species and the number of individuals in a random sample of an animal population. J. Anim. Ecol. 12, 42–58 (1943). 3. Preston, F. W. The commonness, and rarity, of species. Ecology 41, 611–627 (1948). 4. Brown, J. H. Macroecology (Univ. Chicago Press, Chicago, 1995). 5. Hubbell, S. P. A unified theory of biogeography and relative species abundance and its application to tropical rain forests and coral reefs. Coral Reefs 16, S9–S21 (1997). 6. Hubbell, S. P. The Unified Theory of Biodiversity and Biogeography (Princeton Univ. Press, Princeton, 2001). 7. Caswell, H. Community structure: a neutral model analysis. Ecol. Monogr. 46, 327–354 (1976). 8. Bell, G. Neutral macroecology. Science 293, 2413–2418 (2001). 9. Elton, C. S. Animal Ecology (Sidgwick and Jackson, London, 1927). 10. Gause, G. F. The Struggle for Existence (Hafner, New York, 1934). 11. Hutchinson, G. E. Homage to Santa Rosalia or why are there so many kinds of animals? Am. Nat. 93, 145–159 (1959). 12. Huffaker, C. B. Experimental studies on predation: dispersion factors and predator-prey oscillations. Hilgardia 27, 343–383 (1958). 13. Paine, R. T. Food web complexity and species diversity. Am. Nat. 100, 65–75 (1966). 14. MacArthur, R. H. Geographical Ecology (Harper & Row, New York, 1972). 15. Laska, M. S. & Wootton, J. T. Theoretical concepts and empirical approaches to measuring interaction strength. Ecology 79, 461–476 (1998). 16. McGill, B. J. Strong and weak tests of macroecological theory. Oikos 102, 679–685 (2003). 17. Adler, P. B. Neutral models fail to reproduce observed species-area and species-time relationships in Kansas grasslands. Ecology 85, 1265–1272 (2004). 18. Connell, J. H. The influence of interspecific competition and other factors on the distribution of the barnacle Chthamalus stellatus. Ecology 42, 710–723 (1961). 19. Paine, R. T. Ecological determinism in the competition for space. Ecology 65, 1339–1348 (1984). 20. Wootton, J. T. Prediction in complex communities: analysis of empirically-derived Markov models. Ecology 82, 580–598 (2001). 21. Wootton, J. T. Markov chain models predict the consequences of experimental extinctions. Ecol. Lett. 7, 653–660 (2004). 22. Paine, R. T. Food-web analysis through field measurements of per capita interaction strength. Nature 355, 73–75 (1992). 23. Moore, J. C., de Ruiter, P. C. & Hunt, H. W. The influence of productivity on the stability of real and model ecosystems. Science 261, 906–908 (1993). 24. Rafaelli, D. G. & Hall, S. J. in Food Webs: Integration of Pattern and Dynamics (eds Polis, G. & Winemiller, K.) 185–191 (Chapman and Hall, New York, 1996). 25. Wootton, J. T. Estimates and tests of per-capita interaction strength: diet, abundance, and impact of intertidally foraging birds. Ecol. Monogr. 67, 45–64 (1997). 26. Kokkoris, G. D., Troumbis, A. Y. & Lawton, J. H. Patterns of species interaction strength in assembled theoretical competition communities. Ecol. Lett. 2, 70–74 (1999). 27. ...





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