EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/26/2021 | 8:30 AM - 10:30 AM | CADDISFLY SPECIES IDENTIFICATION USING WING MORPHOMETRICS | Virtual Platform
CADDISFLY SPECIES IDENTIFICATION USING WING MORPHOMETRICS
Species identification is required for biological and conservation applications, but remains challenging in entomology where specimens are small and require expert skills for identification. Geometric morphometrics may be an underexplored method for species identification but has been used in the literature alongside machine learning to identify botanical scans of leaves to species. Using bulk light trap samples from Curry Creek, Northern California, we scanned mounted wings of males and females from the caddisfly families Sericostomatidae and Hydropsychidae, identifying 38 and 45 landmark locations, respectively. Using Generalized Procrustes Analysis (GPA) and Principal Component Analysis (PCA) we determined differences in venation between species and sex. GPA identified the central crossveins in Sericostomatidae as having the most variation throughout all specimens for both fore and hind wings, and PCA highlighted sexual dimorphism, particularly in the central crossveins, where males had more reduced wing venation than females. For Hydropsychidae, tests likewise revealed variation largely in the central crossveins; PCA scores quantified at least 50% variation between wing landmarks, enough to distinguish species into three distinct clusters for the site. Future applications of this method may focus on identification using machine learning.
- Stream
- Conservation
- Habitat
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Presenters/Authors
Stella Li
(), University of California, Berkeley, stella56329@gmail.com;
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Collette Christensen
(), University of California, Berkeley, colletechristensen@berkeley.edu;
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Patina Mendez
(), University of California, Berkeley, patina.mendez@berkeley.edu;
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