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Contingency and Determinism in Replicated Adaptive Radiations of Island Lizards
Abstract
The vagaries of history lead to the prediction that repeated instances of evolutionary diversification will lead to disparate outcomes even if starting conditions are similar. We tested this proposition by examining the evolutionary radiation of Anolis lizards on the four islands of the Greater Antilles. Morphometric analyses indicate that the same set of habitat specialists, termed ecomorphs, occurs on all four islands. Although these similar assemblages could result from a single evolutionary origin of each ecomorph, followed by dispersal or vicariance, phylogenetic analysis indicates that the ecomorphs originated independently on each island. Thus, adaptive radiation in similar environments can overcome historical contingencies to produce strikingly similar evolutionary outcomes.
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Cavender‐Bares, J., Kozak, K. H., Fine, P. V. A., & Kembel, S. W. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01314.x · Cited by 2,321
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Seehausen, O. (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2004.01.003 · Cited by 1,627
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True, J. R., & Haag, E. S. (2001) · Evolution & Development · doi:10.1046/j.1525-142x.2001.003002109.x · Cited by 678
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Metadata
- Authors
- Losos, J. B., Jackman, T. R., Larson, A., Queiroz, K. D., & Rodrı́guez-Schettino, L.
- Venue
- Science
- Published
- 1998-03-27
- Volume
- 279
- Issue
- 5359
- Pages
- 2115-2118
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2103549209
- Cited by
- 1,124
- References
- 0
- FWCI
- 35.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- Losos, J. B., Jackman, T. R., Larson, A., Queiroz, K. D., & Rodrı́guez-Schettino, L. (1998). Contingency and Determinism in Replicated Adaptive Radiations of Island Lizards. Science. https://doi.org/10.1126/science.279.5359.2115
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.