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  • 1
    Publication Date: 2024-04-20
    Description: Fundamental insight on predator-prey dynamics in the deep sea is hampered by a lack of combined data on hunting behavior and prey spectra. Deep-sea niche segregation may evolve when predators target specific prey communities, but this hypothesis remains untested. We combined environmental DNA (eDNA) metabarcoding with biologging to assess cephalopod community composition in the deep-sea foraging habitat of two top predator cetaceans. Here, we are presenting the eDNA data from seawater samples obtained during a cruise on RV Pelagia in 2018 off Terceira, Azores, sampled directly in the foraging habitats of two cetacean top-predators from the surface to 1600 m. The water was collected using Niskin bottles mounted on a CTD rosette at seven or eight depths in biological triplicates and filtered on sterile Sterivex filter. After DNA extraction and PCR amplification with two universal cephalopod primer (Ceph18S, targeting the nuclear 18S rRNA gene and CephMLS targeting the mitochondrial 16S rRNA gene), the samples were sequenced on an Illumina MiSeq with the MiSeq Reagent kit v3 (600 cycles).
    Keywords: 64PE_NICO_Leg12; 64PE_NICO_Leg12_1; 64PE_NICO_Leg12_2; 64PE_NICO_Leg12_3; 64PE_NICO_Leg12_4; 64PE_NICO_Leg12_6; 64PE_NICO_Leg12_7; Binary Object; Cephalopods; cetaceans; CTD/Rosette; CTD-RO; deep-sea food web; eDNA; File content; niche segregation; optimal foraging theory; Pelagia; predator-prey dynamics; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
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  • 2
    Publication Date: 2022-05-26
    Description: Author Posting. © Company of Biologists, 2019. This article is posted here by permission of Company of Biologists for personal use, not for redistribution. The definitive version was published in Journal of Experimental Biology 223 (2019): jeb.216283, doi: 10.1242/jeb.216283.
    Description: Toothed whales have evolved flexible biosonar systems to find, track and capture prey in diverse habitats. Delphinids, phocoenids and iniids adjust inter-click intervals and source levels gradually while approaching prey. In contrast, deep-diving beaked and sperm whales maintain relatively constant inter-click intervals and apparent output levels during the approach followed by a rapid transition into the foraging buzz, presumably to maintain a long-range acoustic scene in a multi-target environment. However, it remains unknown whether this rapid biosonar adjustment strategy is shared by delphinids foraging in deep waters. To test this, we investigated biosonar adjustments of a deep-diving delphinid, the Risso's dolphin (Grampus griseus). We analyzed inter-click interval and apparent output level adjustments recorded from sound recording tags to quantify in situ sensory adjustment during prey capture attempts. Risso's dolphins did not follow typical (20logR) biosonar adjustment patterns seen in shallow-water species, but instead maintained stable repetition rates and output levels up to the foraging buzz. Our results suggest that maintaining a long-range acoustic scene to exploit complex, multi-target prey layers is a common strategy amongst deep-diving toothed whales. Risso's dolphins transitioned rapidly into the foraging buzz just like beaked whales during most foraging attempts, but employed a more gradual biosonar adjustment in a subset (19%) of prey approaches. These were characterized by higher speeds and minimum specific acceleration, indicating higher prey capture efforts associated with evasive prey. Thus, tracking and capturing evasive prey using biosonar may require a more gradual switch between multi-target echolocation and single-target tracking.
    Description: F.H.J. was supported by an AIAS-COFUND fellowship from Aarhus Institute of Advanced Studies under the FP7 program of the EU Seventh Framework Programme (agreement no. 609033). F.V. was supported by the Office of Naval Research (ONR) (grants N00014-15-1-2341 and N00014-17-1-2715) and the Dutch Research Council (award number 016.Veni.181.086). P.L.T. was supported by ONR (grants N00014-15-1-2553 and N00014-18-1-2062) and acknowledges the support of the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) in the completion of this study. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.
    Description: 2020-12-10
    Keywords: Echolocation ; Sensory ecology ; Mesopelagic foraging ; Deep-water environment ; Biosonar strategies ; Gain control
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2024-04-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2024-02-07
    Type: Article , PeerReviewed
    Format: text
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  • 5
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    ASLO (Association for the Sciences of Limnology and Oceanography) | Wiley
    Publication Date: 2024-05-06
    Description: Scientific Significance Statement Millions of predator–prey interactions between deep-diving toothed whales and cephalopods occur daily in the dark deep sea. While predatory whales developed traits to detect and hunt their prey, cephalopods had to expand their anti-predatory strategies specialized for visual predators, to counteract acoustic predators. Since toothed whale-cephalopod interactions have never been directly observed in the deep sea, it remains unknown what selective pressures and traits evolved from this arms race. Combining current knowledge, we formalize four hypotheses and associated research approaches that will guide future investigation on oceanic predator–prey systems. We identify whale echolocation as an unprecedented armament to hunt distant prey and propose that deep-sea squids avoid acoustic predators by (1) reducing their acoustic cross-section through body shape and posture, (2) deep-sea migration, and (3) not schooling. Toothed whale predation emerges as a potential driver of the cephalopod live-fast-die-young strategy—which may now leave cephalopods at competitive advantage under global change.
    Type: Article , PeerReviewed
    Format: text
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