Scientific Literature: Searchable Database

Surfacing characteristics and diving behaviour of blue whales in Sri Lankan waters

Authors

de Vos, Asha; Christiansen, Fredrik; Harcourt, Robert G.; Pattiaratchi, Charitha B.

Year

2013

Journal

Journal of Experimental Marine Biology and Ecology

Volume

449

Issue

76

Pages

149-153

ISBN

0022-0981

Keywords

Arabian Sea, availability bias, balaenoptera musculus, blue whale, Markov chains, Monte Carlo, Northern Indian Ocean, ship strike, Surfacing behaviour, whale watching

Abstract

Surfacing behaviour and dive characteristics were quantified from focal follows of individual blue whales between January–March 2012 and 2013. During this period individual whales were followed from small boats to observe their surfacing patterns and breathing behaviour. Data on time at first surface, length of surface interval, number of blows, final dive time and whether or not the whale ‘fluked up’ before a deep dive were recorded. A step-wise modelling approach was used to estimate a number of surfacing characteristics: mean Inter-Breath Interval (IBI), bout duration and the number of surfacings in a bout. First, dives were classified as either surface dives or deep dives based on the occurrence of arching or fluking behaviour at the surface prior to a deep dive. The mean IBI of surface dives was 17.6s (SD=26.14) and for deep dives, 640.3s (SD=214.38). To account for temporal dependence between dive types, a first-order Markov chain was used to estimate the transition probability between dive types. Time series of dive types were then simulated, using Monte Carlo methods, while accounting for heterogeneity in IBI of the different dive types. The mean IBI of blue whales in Sri Lanka, obtained from the Monte Carlo methods, was 84.7s (SD=11.17). The mean bout duration was 145s (SD=28.31), with the mean number of breaths per surface bout being 9.3 (SD=1.43). Whales also lifted their tail flukes out of the water on 55% of terminal dives, which is considerably more frequent than elsewhere in the world. These results significantly advance our understanding of blue whales in Sri Lankan waters. More specifically, this information is essential for the calculation of precise abundance estimates as it informs the detection probability parameters for line transect surveys. In this way it will help formulate better management decisions related to the conservation of this population.
← Back to Resources

Share this page!

X

Share this page with your friends on Social Media: