An app as a tool for detecting migrant females of Anguilla anguilla to support the wild population
Keywords:european eel, machine learning, conservation, silver index
The eel (Anguilla anguilla) population in Europe has declined dramatically since the 1980s and shows no signs of recovery. There are several threats to this species: migratory barriers, loss of habitats, hydroelectric dams, overfishing, and illegal trade. As a result, the eel has become part of the ICUN endangered species and is protected by various institutions. Information data on the maturation stage is needed to monitor silver eel escapement and assess population trends. In the sampling activities spanning from 2012 to 2022 silver index was calculated on 1852 eels in the northern Adriatic Sea. With the help of machine learning technology, we trained an algorithm in pupil recognition and the calculation of horizontal eye diameter in eels. This study allowed us: a) to identify a single parameter to discriminate the sexual maturity of the eel and thus to know the female with a migratory instinct; b) to use this parameter as a proxy to develop an easy and user-friendly app for all management operators.
Copyright (c) 2023 Antonio Casalini, Laura Gentile, Pietro Emmanuele, Riccardo Brusa, Chiara Fusaroli, Matteo Lucchi, Tiberio Tonetti, Oliviero Mordenti
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).