Krill swarms observed along transects 7 to 11 during the BROKE-West voyage

• Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), COX, MARTIN (collaborator), COX, MARTIN (hasPrincipalInvestigator), COX, MARTIN (author), Cox, M. and Kawaguchi, S. (originator)
• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: biota; oceans; EARTH SCIENCE > OCEANS > AQUATIC SCIENCES > FISHERIES; BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > ARTHROPODS > CRUSTACEANS > EUPHAUSIIDS (KRILL); ECHOVIEW; EK60; ACOUSTICS; HYDROACOUSTICS; ECHO SOUNDERS; R/V AA > R/V Aurora Australis; AMD/AU; AMD; CEOS; GEOGRAPHIC REGION > POLAR; OCEAN > SOUTHERN OCEAN; CONTINENT > ANTARCTICA; Antarc*; Antarctic; Antarctic Krill; Antarctica; aurora australis; East Antarctica; Euphausia superba; Southern Ocean
• Online Access: https://researchdata.edu.au/krill-swarms-observed-west-voyage/2816865

Progress Code: completed Statement: No known data quality issues. Purpose This data set can be used to describe the vertical distribution and internal densities of krill swarms observed along transects 7 to 11 of the 2006 BROKE-West voyage. This is data describing acoustically observed krill swarms that was used in the Bestley et al. (2017) paper 'Predicting krill swarm characteristics important for marine predators foraging off East Antarctica' (http://onlinelibrary.wiley.com/doi/10.1111/ecog.03080/full). Abstract of the paper presented here: Open ocean predator-prey interactions are often difficult to interpret because of a lack of information on prey fields at scales relevant to predator behaviour. Hence, there is strong interest in identifying the biological and physical factors influencing the distribution and abundance of prey species, which may be of broad predictive use for conservation planning and evaluating effects of environmental change. This study focuses on a key Southern Ocean prey species, Antarctic krill Euphausia superba, using acoustic observations of individual swarms (aggregations) from a large-scale survey off East Antarctica. We developed two sets of statistical models describing swarm characteristics, one set using underway survey data for the explanatory variables, and the other using their satellite remotely sensed analogues. While survey data are in situ and contemporaneous with the swarm data, remotely sensed data are all that is available for prediction and inference about prey distribution in other areas or at other times. The fitted models showed that the primary biophysical influences on krill swarm characteristics included daylight (solar elevation/radiation) and proximity to the Antarctic continental slope, but there were also complex relationships with current velocities and gradients. Overall model performance was similar regardless of whether underway or remotely sensed predictors were used. We applied the latter models to generate regional-scale spatial predictions ...