Abstract
Cetaceans are iconic predators that serve as important indicators of
marine ecosystem health. The Bremer Sub-Basin, south-western Australia,
supports a diverse cetacean community including the largest documented
aggregation of killer whales (Orcinus orca) in Australian waters.
Knowledge of cetacean distributions is critical for managing the area’s
thriving ecotourism industry, yet is largely sporadic. Here we combined
aerial with opportunistic ship-borne surveys during 2015–2017 to
describe the occurrence of multiple cetacean species on a regional
scale. We used generalised estimating equations to model variation in
killer whale relative density as a function of both static and dynamic
covariates, including seabed depth, slope, and chlorophyll a concentration, while accounting for autocorrelation. Encountered cetacean groups included: killer (n = 177), sperm (n = 69), long-finned pilot (n = 29), false killer (n = 2), and strap-toothed beaked (n = 1) whales, as well as bottlenose (n = 12) and common (n = 5)
dolphins. Killer whale numbers peaked in areas of low temperatures and
high primary productivity, likely due to seasonal upwelling of
nutrient-rich waters supporting high prey biomass. The best predictive
model highlighted potential killer whale ‘hotspots’ in the Henry, Hood,
Pallinup and Bremer Canyons. This study demonstrates the value of
abundance data from platforms of opportunity for marine planning and
wildlife management in the open ocean.
Original language | English |
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Number of pages | 11 |
Journal | Australian Mammalogy |
Volume | Early Online |
Early online date | 25 Jun 2020 |
DOIs | |
Publication status | E-pub ahead of print - 25 Jun 2020 |
Keywords
- Generalised estimating equations
- Habitat modelling
- Submarine canyons
- Temporal autocorrelation
- Whale watching
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Seasonal productivity drives aggregations of killer whales and other cetaceans over submarine canyons of the Bremer Sub-Basin, south-western Australia (dataset)
Bouchet, P. (Creator), Research Data Australia portal, 2020
https://researchdata.ands.org.au/aerial-visual-survey-project-ep2/1098271
Dataset