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Abstract
Understanding patterns of differentiation at microgeographic scales can enhance our understanding of evolutionary dynamics and lead to the development of effective conservation strategies. In particular, high levels of landscape heterogeneity can strongly influence species abundances, genetic structure, and demographic trends. The bearded anole, Anolis pogus, is endemic to the topographically complex island of St. Martin and of conservation concern. Here, we examined genetic diversity and inbreeding, assessed which features of the landscape influence population abundances, tested for population genetic structure across St. Martin, and inferred historical demographic trends. We found no evidence of inbreeding or low genetic diversity in A. pogus. We found that suitable habitat occurs broadly across the island and that population abundances were largely predicted by canopy cover. However, there was no signature of population genetic structure across the distribution, in contrast to the co-distributed anole species (Anolis gingivinus). Historical demographic trends in A. pogus were in sharp contrast to A. gingivinus, with effective population sizes of A. pogus increasing in the recent past while A. gingivinus population sizes have declined. We posit that declines in a competitor species allowed for population size expansion in A. pogus. Overall, these analyses suggest that A. pogus, despite being restricted to a single island in the Lesser Antilles, is both demographically and genetically healthy. Further, we highlight the role of demographic history and ecological interactions in shaping population structure.
DOI
https://doi.org/10.32942/X29326
Subjects
Biodiversity, Ecology and Evolutionary Biology, Evolution, Genomics, Population Biology, Zoology
Keywords
Lesser Antilles, Caribbean, fossils, abundance modeling, conservation genomics, Anolis gingivinus
Dates
Published: 2024-09-20 00:01
License
CC-BY Attribution-NonCommercial 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
None
Data and Code Availability Statement:
Open data/code are not available. All data/code will be made available when the manuscript is accepted by a peer-reviewed journal.
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