Poster Presentation 2024 Australian Marine Sciences Association Annual Meeting combined with NZMSS

Predator-prey interactions: Manta rays and zooplankton inferred from ADCP backscatter (#727)

Hannah M Moloney 1 2 3 4 , Phil J Hosegood 5 , Kathy A Townsend 1 , Asia O Armstrong 1 , Arthur Blanluet 6 , Frank Coman 2 , Julian Uribe-Palomino 2 , Harvey Cairns 5 , Enas (Tonti) M Riyaz 7 , Guy M.W Stevens 3 4 , Anthony Richardson 2 6
  1. School of Science, Technology, and Engineering, University of the Sunshine Coast, Hervey Bay, Queensland, Australia
  2. Environment, CSIRO, Brisbane, Queensland, Australia
  3. Maldives Manta Conservation Programme, Male', North Male' Atoll, Maldives
  4. The Manta Trust, London, UK
  5. University of Plymouth, Plymouth
  6. Maths and Physics, University of Queensland, Brisbane, Queensland, Australia
  7. The Maldives Environmental Protection Authority, Male', North Male' Atoll, Maldives

Zooplankton are important in ocean ecosystems as they link primary productivity to higher trophic levels. Large planktivores such as reef manta rays (Mobula alfredi) often aggregate at predictable locations and rely on zooplankton productivity hotspots to meet their energetic requirements. However, limited high-resolution data of zooplankton concentrations at these predator foraging grounds remains a major obstacle to understanding their feeding environments. Certain acoustic Doppler current profilers (ADCP) have the capacity to undertake sustained (3 months) high vertical resolution (3mm) biological surveys using the integrated wideband echosounder. In this study, predator-prey interactions were investigated using data collected by bed-mounted, upwards-facing Nortek Signature ADCP deployed in Hanifaru Bay, the Maldives. The acoustic data were supported by in situ zooplankton samples and video surveys of M. alfredi behaviour to provide a representative baseline to validate the acoustic backscatter measurements from the ADCP. These localised datasets that link the hydrodynamic mechanisms responsible for plankton accumulation to the foraging landscape of M. alfredi will help to understand the mechanisms that link predator-prey interactions to the properties of their habitat. The novel use of this technology expands the application of ADCP data for taxa that are complex and difficult to observe.