Estimating whale density from their whistling activity: Example with St. Lawrence beluga
Introduction
The mouth of Saguenay Fjord at Tadoussac, Québec, Canada (Fig. 1) is frequently visited by belugas from the St. Lawrence population. This area forms a small cusp-like basin about 3.5 km in diameter and 150 m deep, which is isolated from the adjacent St. Lawrence estuary by a shallow (<20-m deep) sill. Belugas can be visually localized over the whole basin from elevated points on both shores. Because of the small size and the simple topography of the basin, belugas calling in the area have a high probability of being detected from the recordings of a hydrophone deployed in the basin. The shallow sill tends to isolate the basin from possible distant calling sources from the St. Lawrence. Therefore, detected calls must come from belugas that are present in the fjord. Systematic observations carried out by Parks Canada during summer months since 2003 (Saguenay St. Lawrence Marine Park, Parks Canada, unpublished data) show that the most occupied zone corresponds to the basin as delimited in Fig. 1 for the visual scanning area. With these particular conditions, the probability that beluga calls recorded in the basin come from the same beluga groups seen by coastal observers is very high. These characteristics make this area a quasi ideal location for comparing visual and acoustic observations, and exploring the possibility of using passive acoustics to monitor local beluga density.
However, local shipping noise from the car ferry line connecting the main road on both sides of the fjord (Fig. 1) and from the whale watching fleet operating in this area complicates the situation. Two ferries cross the fjord from both sides simultaneously every 20 min during daytime (8:00–21:00). During night, one ferry serves both sides and crosses every 20 or 30 min. A third ferry is added during the busiest traffic season, from June 9th to September 7th, and operates from 10:30 to 16:30, which increases the crossing pace to one ferry per 13 min. During that period, one ferry is always transiting when the other two are loading and unloading at the two docks. Besides the usual shipping noise from the transits and docking manoeuvres, impulsive noise is generated when the ferries are docked from load transfers over the gangway by transiting trucks and cars. Noise from boats and ships from the whale watching fleet, yachting, and merchant ships adds to the whole picture. This traffic peaks in mid-July during the tourist season (June to October) and varies daily from 6:00 to 21:00 with a maximum after lunch. Besides the ferries, the number of boats present in the study area during the visual observations in September 2008 averaged 1.4 (SD = 1.5) for a maximum of 8, with 3 or more cruising boats 20% of the time (Saguenay St. Lawrence Marine Park, Parks Canada, unpublished data).
The first attempt to measure whale sounds in their natural environment was carried out on belugas frequenting the same study area at the mouth of the Saguenay fjord by Schevill and Lawrence [1]. In this pioneering bioacoustics work, the authors highlight the loquacious behavior of belugas and underline the good correspondence between the visual and acoustic occurrences by reporting “…we never sighted them without hearing them and rarely heard them without seeing them, except after dark”. In this paper, we want to see if this acoustical behavior of belugas can be quantitatively exploited to count them. The objectives of the present study were to determine if beluga communication activity measured by coastal hydrophones deployed in this regularly frequented but often noisy habitat of the mouth of the Saguenay fjord was (1) correlated with the number of visually estimated individuals, and (2) if so, whether an estimator of beluga density based on a statistical model of the observed visual counts vs passive acoustic metrics could be developed.
Section snippets
Materials and methods
In September 2008, a coastal array of four hydrophones (HTI 96-min, High Tech Inc., Gulport, Ms, USA) was deployed from Pointe Noire (Fig. 1). Hydrophones Nos. 1 and 4, located at depths of ∼75 and 100 m, were used in the present study. The hydrophones were maintained at ∼4 m above bottom with a small float and a wooden stick attached to the cable. On the shore, the cables were connected to a low-noise custom amplifier (+25 dB) before feeding a data acquisition board (IOtech DaqBoard 3000/USB,
Results
During the observation period in September 2008, belugas were present 64.1% of the time. When present, the number of counts (uncorrected for the diving proportion) averaged 18.5 ind. ± 1.8 (95% C.I.) and the maximum was 81 ind. The proportion of juveniles was 23.3 ± 2.1% (95% C.I.) and that of young calves was 4.2 ± 1.0% (95% C.I.). The overall beluga distribution indicates that they tended to occupy the center of the basin, delineated by the 100-m contour, with more individuals in the North-East
Discussion
Results of this experiment comparing visual and acoustical indices of beluga densities in a relatively closed small-scale basin clearly indicate a strong correlation between the two types of data, when their inherent small-scale variability is damped by averaging over sufficiently long integration times. The interference of dive patterns with the visual scans of animals blowing at the surface makes the visual estimates very noisy since a high proportion of the individuals (∼50%) are expected to
Conclusion
In conclusion, an algorithm has been developed and tested experimentally to estimate the beluga density in a small basin from passive acoustic metrics, with a 95% confidence limit of ±14%, taking into account frequent masking by shipping noise. The algorithm could be used to track beluga densities over ranges of at least 3 km in usual noise conditions at crossing points along the coast, and over smaller ranges of 1–2 km when noise conditions are severely affected by frequent anthropogenic noise
Acknowledgements
We specially thank Catherine Bédard and Élisabeth Leblanc who have contributed to the development of earlier versions of the beluga calling activity algorithm, the crews of Canadian Coast Guard Ship Cap D’Espoir and Parcs Canada Research Vessel Alliance for their help in deployment and retrieval of the hydrophone array, and the personnel from Parks Canada, ISMER-UQAR and Fisheries and Oceans Canada who have contributed to the success of the field work and data analysis. This research was
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