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Oceanic hitchhikers: epizoic diatoms as health indicators of sea turtles

CORDIS · observation · Publication date unknown

ill be used to determine diatom species composition based on molecular (metabarcoding) and morphological approaches (WP2). We will develop an automated diatom identification and counting method using deep learning technology to further simplify the morphology-based assessment of diatom community composition. Third, the relative abundance of specialist sea turtle diatoms will be assessed and tested for correlation with standard sea turtle health indices collected for every sampled animal (WP3). Diatom indices of sea turtle health will be designed should such correlation be found. Finally, we will test the newly developed tools in a zoo setting, where they will be used to gain insights into the overall health and wellbeing of captive sea turtles and other aquatic vertebrates (WP4). The proposed studies will develop novel, non-invasive, cost-efficient and straightforward diatom-based tools for sea turtle monitoring and the assessment of marine ecosystem health. automated taxonomic identification, bioindicator, diatom indices, epizoic diatoms, metabarcoding, nature conservation, sea turt

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recordType

award

status

SIGNED

region

EU

value

283438.8

unit

EUR