Historical Biogeography Using Species Geographical Ranges
Ignacio Quintero1, Petr Keil2, Walter Jetz3
1Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06520-8106, USA; ignacio.quintero@yale.edu.
Systematic Biology
|August 10, 2015
Summary
This study introduces a new phylogeographic method to reconstruct ancestral locations using complex species ranges, improving historical biogeography inference. The method accurately models geographic diversification and migration across irregular areas, unlike older point-based approaches.
Area of Science:
- Evolutionary Biology
- Biogeography
- Computational Biology
Background:
- Biodiversity patterns arise from evolutionary history and ecological interactions.
- Historical biogeography methods often simplify species ranges to single points, limiting accuracy.
- Real species ranges are complex, with irregular shapes and discontinuities.
Purpose of the Study:
- To develop a novel phylogeographic method for inferring ancestral locations using polygonal species ranges.
- To overcome the limitations of point-based range representations in historical biogeography.
- To provide a more realistic and spatially explicit framework for biogeographic analysis.
Main Methods:
- Developed a Bayesian framework integrating geographic diversification and migration models.
- Utilized polygonal species geographic ranges of arbitrary complexity.
- Applied the method to reconstruct ancestral locations for two neotropical bird genera (Psophia and Cinclodes).
Main Results:
- Successfully reconstructed ancestral locations using complex species ranges.
- Demonstrated the method's utility in phylogeographic reconstruction.
- Highlighted the advantages over traditional methods that reduce ranges to single points.
Conclusions:
- The new method (rase) offers a more accurate approach to historical biogeography by incorporating complex species ranges.
- This spatially explicit framework enhances the understanding of evolutionary history and diversification.
- Future extensions can further generalize the method for broader applications in biogeographic research.
Keywords:
Bayesian inferencecontinuous trait evolutiondiversificationhistorical biogeographyphylogeographyspecies distributionsMore Related Videos
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