Biophysical correlates of relative abundances of marine megafauna at Ningaloo Reef, Western Australia
Jai C. Sleeman A G , Mark G. Meekan B , Steven G. Wilson C , Curt K. S. Jenner D , Micheline N. Jenner D , Guy S. Boggs A , Craig C. Steinberg E and Corey J. A. Bradshaw FA GIS and Remote Sensing Group, Charles Darwin University, Darwin, NT 0909, Australia.
B Australian Institute of Marine Science, P.O. Box 40197, Casuarina MC, NT 0811, Australia.
C Hubbs–SeaWorld Research Institute, 2595 Ingraham Street, San Diego, CA 92109, USA.
D Centre for Whale Research (Western Australia) Inc., P.O. Box 1622, Fremantle, WA 6160, Australia.
E Australian Institute of Marine Science, PMB No. 3, Townsville, Qld 4810, Australia.
F School for Environmental Research, Institute of Advanced Studies, Charles Darwin University, Darwin, NT 0909, Australia.
G Corresponding author. Email: jai.sleeman@cdu.edu.au
Marine and Freshwater Research 58(7) 608-623 https://doi.org/10.1071/MF06213
Submitted: 8 November 2006 Accepted: 28 May 2007 Published: 27 July 2007
Abstract
Changes in the relative abundance of marine megafauna (whales, dolphins, sharks, turtles, manta rays, dugongs) from aerial survey sightings in the waters adjacent to Ningaloo Reef between June 2000 and April 2002 are described. Generalised linear models were used to explore relationships between different trophic guilds of animals (based on animal sighting biomass estimates) and biophysical features of the oceanscape that were likely to indicate foraging habitats (regions of primary/secondary production) including sea surface temperature (SST), SST gradient, chlorophyll-a (Chl-a), bathymetry (BTH) and bathymetry gradient (BTHg). Relative biomass of krill feeders (i.e. minke whales, whale sharks, manta rays) were related to SST, Chl-a and bathymetry (model [AICc] weight = 0.45) and the model combining these variables explained a relatively large amount (32.3%) of the variation in relative biomass. Relative biomass of fish/cephalopod feeders (dolphins, sharks) were weakly correlated with changes in SST, whereas that of other invertebrate/macroalgal feeders (turtles, dugong) was weakly correlated with changes in steepness of the shelf (bathymetry gradient). Our results indicate that biophysical variables describe only a small proportion of the variance in the relative abundance and biomass of marine megafauna at Ningaloo reef.
Additional keywords: aerial surveys, chlorophyll-a, marine megafauna, Ningaloo Reef, sea surface temperature.
Acknowledgements
We are grateful to Woodside Energy Ltd, for authorising the use of the aerial survey data originally collected for the WA-271-P Field Development Environmental Impact Statement. We thank the Australian Institute of Marine Science for providing the Milyering weather station data, NASA Goddard Space Flight Center for the remotely sensed ocean colour and SST data, AVISO for altimetry data and National Oceans Office of Australia for bathymetry data. We thank three anonymous reviewers for helpful comments to improve the manuscript.
Agenbag, J. J. , Richardson, A. J. , Demarcq, H. , Freon, P. , Weeks, S. , and Shillington, F. A. (2003). Estimating environmental preferences of South African pelagic fish species using catch size and remote sensing data. Progress in Oceanography 59, 275–300.
| Crossref | GoogleScholarGoogle Scholar |
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716–723.
| Crossref | GoogleScholarGoogle Scholar |
Caputi, N. , Fletcher, W. J. , Pearce, A. F. , and Chubb, L. J. V. (1996). Effects of the Leeuwin Current on the recruitment of fish and invertebrates along the Western Australian coast. Marine and Freshwater Research 47, 147–155.
| Crossref | GoogleScholarGoogle Scholar |
Godfrey, J. S. , and Ridgeway, K. R. (1985). The large-scale environment of the poleward-flowing Leeuwin Current, Western Australia: longshore steric height gradients, wind stresses and geostrophic flow. Journal of Physical Oceanography 15, 481–495.
| Crossref | GoogleScholarGoogle Scholar |
Jenner, K. C. S. , Jenner, M.-N. M. , and McCabe, K. A. (2001). Geographic and temporal movements of humpback whales in Western Australian waters. Australian Petroleum Production and Exploration Association (APPEA) Journal 41, 749–765.
Lanyon, J. M. , and Marsh, H. (1995). Digesta passage times in the dugong. Australian Journal of Zoology 43, 119–127.
| Crossref | GoogleScholarGoogle Scholar |
Mennis, J. , Tomlin, C. D. , and Viger, R. (2005). Cubic map algebra functions for spatio-temporal analysis. Cartography and Geographic Information Science 32, 17–32.
| Crossref | GoogleScholarGoogle Scholar |
Polovina, J. J. , Balazs, G. H. , Howell, E. A. , Parker, D. M. , Seki, M. P. , and Dutton, P. H. (2004). Forage and migration habitat of loggerhead (Caretta caretta) and olive ridley (Lepidochelys olivacea) sea turtles in the central North Pacific Ocean. Fisheries Oceanography 13, 36–51.
| Crossref | GoogleScholarGoogle Scholar |
Schick, R. S. , Goldstein, J. , and Lutcavage, M. E. (2004). Bluefin tuna (Thunnus thynnus) distribution in relation to sea surface temperature fronts in the Gulf of Maine (1994–96). Fisheries Oceanography 13, 225–238.
| Crossref | GoogleScholarGoogle Scholar |
Stevens, J. D. , and Lyle, J. M. (1989). Biology of three Hammerhead sharks (Eusphyra blochii, Sphyrna mokarran and S. lewini) from Northern Australia. Australian Journal of Marine and Freshwater Research 40, 129–146.
| Crossref | GoogleScholarGoogle Scholar |
Taylor, J. G. , and Pearce, A. F. (1999). Ningaloo Reef currents: implications for coral spawn dispersal, zooplankton and whale shark abundance. Journal of the Royal Society of Western Australia 82, 57–65.
Wilson, S. G. , Meekan, M. G. , Carleton, J. H. , Stewart, T. C. , and Knott, B. (2003). Distribution, abundance and reproductive biology of Pseudeuphausia latifrons and other euphausiids on the southern North West Shelf, Western Australia. Marine Biology 142, 369–379.