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Population variability across geographical ranges: perspectives and challenges.
Cleber Ten Caten1, Tad Dallas1
1Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA.
Proceedings. Biological Sciences
|January 29, 2025
Summary
Population variability is not linked to geographical range edges as expected. Instead, performance curves reveal that populations fluctuate more where environmental conditions lead to lower growth rates.
Area of Science:
- Ecology
- Population Dynamics
- Biogeography
Background:
- Understanding population variability across geographical space is crucial in population ecology.
- Species' geographical range edges are often assumed to exhibit higher population variability due to environmental unsuitability.
- However, empirical evidence frequently contradicts this assumption, indicating no clear relationship between variability and range position.
Purpose of the Study:
- To investigate geographical patterns of population variability.
- To propose and utilize performance curves to better understand these patterns.
- To identify populations vulnerable to environmental changes.
Main Methods:
- Analyzing population variability in relation to geographical range position.
- Employing species performance curves, which link population growth rates to environmental conditions.
- Comparing geographical range edges with environmental edges.
Main Results:
- Population variability is not consistently higher at geographical range edges.
- Performance curves demonstrate that population fluctuations are more pronounced in areas with lower population growth rates due to environmental factors.
- Geographical and environmental edges do not always align.
Conclusions:
- Population variability patterns are better explained by species' performance curves than by simple geographical range limits.
- This approach helps identify populations at higher risk from future environmental changes.
- Considering performance curves offers a more nuanced understanding of population dynamics across landscapes.
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