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EcologybioRxiv
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Fine-scale habitat partitioning of sympatric stingrays revealed by drone-based remote sensing and deep learning

Brian Owain NieuwenhuisiD, Charlotte Turlier, Ioana-Andreea CiocanaruiD, Benja Blaschke, Malika KheireddineiD, Guido LeursiD, Jesse E. M. CochraniD, Laura L. GoversiD, Burton H. JonesiD

Abstract

Habitat partitioning supports the coexistence of sympatric species and shapes their ecological roles across coastal seascapes. Understanding how sympatric species move through and use coastal habitats therefore provides fundamental ecological insight. Aerial drones provide new opportunities to monitor fine-scale movement and habitat utilisation of elasmobranchs in shallow waters. Here, we use drones to investigate fine-scale habitat partitioning and foraging behaviour among stingrays in a coastal lagoon in the central Red Sea. We conducted 30 aerial transect surveys (~17 ha each) and tracked 40 rays and 1 shark (total tracking time > 23 h). Using a double-observer protocol (manual + AI-assisted), 1,468 rays (6 species) and 4 sharks (2 species) were recorded from the transect surveys. Transect detections were dominated by bluespotted ribbontail rays (Taeniura lymma; n = 1,221) and larger-bodied whiprays (predominantly Himantura uarnak; n = 187). AI-assisted image analysis outperformed human analysts detecting 97% of these observations, compared to 76% for human analysts. We found pronounced habitat partitioning at sub-kilometre scales: bluespotted rays occupied the shallowest ( View larger version (63K): org.highwire.dtl.DTLVardef@ceb317org.highwire.dtl.DTLVardef@4fca31org.highwire.dtl.DTLVardef@636a9dorg.highwire.dtl.DTLVardef@ec8a71_HPS_FORMAT_FIGEXP M_FIG C_FIG

02 /Specification & Classification

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