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Lumping and Splitting of Distribution Models Across a Biogeographic Divide Informs the Conservation of an Imperiled
Briant D Nguyen1, Jenna Messick1, Anthony W Rodger2
1Department of Biology University of Central Oklahoma Edmond Oklahoma USA.
Ecology and Evolution
|April 28, 2025
Summary
Species distribution models reveal fragmented Bluntface Shiner (Cyprinella camura) populations. Environmental conditions differ east and west of the Mississippi River, impacting conservation strategies for this threatened minnow.
Area of Science:
- Ecology
- Conservation Biology
- Ichthyology
Background:
- Freshwater fishes are highly threatened globally.
- Limited life history and habitat data hinder conservation of declining species.
- Species distribution models (SDMs) are valuable tools for assessing distribution patterns and conservation needs.
Purpose of the Study:
- To understand large-scale distribution patterns of the Bluntface Shiner (Cyprinella camura; BFS).
- To identify landscape-scale abiotic factors influencing BFS distribution.
- To compare environmental conditions between BFS populations east and west of the Mississippi River and assess model transferability.
Main Methods:
- Utilized species distribution models (SDMs) incorporating occurrence records and geospatial data.
- Modeled potential BFS distribution based on abiotic factors.
- Compared environmental niches across the Mississippi River biogeographic divide and tested model transferability.
Main Results:
- Identified naturally fragmented distribution patterns for BFS east and west of the Mississippi River.
- BFS populations east of the Mississippi River occupy streams with distinct broadscale environmental conditions compared to western populations.
- SDMs projected across the Mississippi River did not accurately reflect contemporary BFS ranges, indicating differing occupied niches.
Conclusions:
- The study provides a baseline for assessing range loss in Bluntface Shiner.
- Identified areas of high habitat suitability for targeted conservation efforts.
- Highlights the need for caution when projecting SDMs across biogeographic barriers due to niche divergence.
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