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Spotted! Computer-aided individual photo-identification allows for mark-recapture of invasive spotted lanternfly ( Lycorma delicatula ).

Authors :
Belouard N
Behm JE
Source :
Frontiers in insect science [Front Insect Sci] 2023 Feb 06; Vol. 3, pp. 1112551. Date of Electronic Publication: 2023 Feb 06 (Print Publication: 2023).
Publication Year :
2023

Abstract

The spotted lanternfly is an invasive pest for which we lack individual movement data due in part to the difficulty posed by individual identification. We developed a computer-aided method to identify individual adult spotted lanternfly using wing spot patterns from photos processed in the software I3S and demonstrated the method's accuracy with lab and field validations. Based on 176 individuals in the lab, we showed that digitizing the spots of one wing allowed a 100% reliable individual identification. The errors due to user input and the variation in the angle of the image were largely negligible compared to inter-individual variations. We applied this method in the context of a mark-recapture experiment to assess the feasibility of this method in the field. We initially identified a total of 84 unique spotted lanternflies, 31 of which were recaptured after four hours along with 49 new individuals. We established that the analysis of recaptures can possibly be automated based on scores and may not require systematic visual pairwise comparison. The demonstration of the effectiveness of this method on relatively small sample sizes makes it a promising tool for field experimentation as well as lab manipulations. Once validated on larger datasets and in different contexts, it will provide ample opportunity to collect useful data on spotted lanternfly ecology that can greatly inform management.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2023 Belouard and Behm.)

Details

Language :
English
ISSN :
2673-8600
Volume :
3
Database :
MEDLINE
Journal :
Frontiers in insect science
Publication Type :
Academic Journal
Accession number :
38469539
Full Text :
https://doi.org/10.3389/finsc.2023.1112551