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Issue 121212 - Volume 212132, 2025
Machine Learning Classification of Morphological Signatures in Bat Species a Comparative Analysis of Trait Variability across Microbat and Megabat Lineages
Understanding morphological diversity in bats is central to ecological classification, evolutionary interpretation, and conservation planning. This study analyzed key morphological, ecological, and genetic traits to distinguish microbat and megabat lineages using an integrated set of computational tools. Kernel Density Estimation (KDE) was first applied to determine dominant morphological signatures, revealing …
morphometrics with machine learning to enhance taxonomic resolution
Understanding morphological diversity in bats is central to ecological classification, evolutionary interpretation, and conservation planning. This study analyzed key morphological, ecological, and genetic traits to distinguish microbat and megabat lineages using an integrated set of computational tools. Kernel Density Estimation (KDE) was first applied to determine dominant morphological signatures, revealing …