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Updated: Jul 4, 2025

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
Published on: March 19, 2017
Sample Size and Geometric Morphometrics Methodology Impact the Evaluation of Morphological Variation
A D Rummel1, E T Sheehy2, E R Schachner3
1Department of BioSciences, Rice University, Houston, TX 77005, USA.
Sample size and view selection significantly impact two-dimensional geometric morphometric (2DGM) analyses of bat skull shape. Preliminary analyses using multiple views, elements, and sample sizes ensure robust conclusions in morphological evolution studies.
Area of Science:
- Evolutionary biology
- Comparative anatomy
- Morphological evolution
Background:
- Two-dimensional geometric morphometrics (2DGM) is crucial for studying morphological evolution.
- 2DGM outcomes can be influenced by sample size, selected views, and elements, often due to practical constraints.
- Understanding these influences is vital for reliable evolutionary and taxonomic studies.
Purpose of the Study:
- To evaluate the impact of sample size on 2DGM analyses of bat skull shape.
- To assess the concordance of different skull views and elements in 2DGM.
- To determine if 2DGM can differentiate morphologically cryptic bat species.
Main Methods:
- Utilized large intraspecific sample sizes (>70) for two bat species: Lasiurus borealis and Nycticeius humeralis.
- Performed 2DGM analyses on multiple skull views and elements.
- Assessed shape variation, variance, and centroid size, and compared results across different sample sizes and views.
Main Results:
- Reduced sample size altered mean shape and increased shape variance.
- Shape differences were inconsistent across skull views and elements.
- 2DGM successfully differentiated the cryptic species Lasiurus borealis and Lasiurus seminolus across all views and elements.
Conclusions:
- Sample size and the choice of 2D views/elements critically affect 2DGM results.
- No single sample size or view is universally optimal; selection must align with research questions.
- Preliminary analyses with varied parameters are recommended for robust 2DGM conclusions.
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