Blue whale - Trajectories and locations of Area-Restricted Search

The blue whale (Balaenopterus musculus) is a wide-ranging cetacean that can be found in all oceans, inhabiting coastal and oceanic habitats. In the North Atlantic, little is known about blue whale distribution and genetic structure, and if whether animals found in Icelandic waters, the Azores, or Northwest Africa are part of the same population as those from the Northwest Atlantic. In the Northwest Atlantic, seasonal movements of blue whales and habitat use, including the location of breeding and wintering areas, are poorly understood.

The behaviour of remotely-monitored animals can be inferred from a time series of location data. This is because animals tend to demonstrate stochasticity in their movement paths as a result of spatial variation in environmental characteristics, such as topography or prey density (Curio 1976; Gardner et al. 1989; Turchin 1991; Wiens et al. 1993). Predators are expected to decrease travel speed and/or increase turning frequency and turning angle when a suitable resource, e.g., food patch, is encountered (Turchin 1991), otherwise known as area-restricted search (ARS). In contrast, animals in transit or travelling tend to move at faster and more regular speeds, with infrequent and smaller turning angles (Kareiva and Odell 1987; Turchin 1998).

Based on satellite telemetry to track the seasonal movements of 24 blue whales from eastern Canada in 2002 and from 2010 to 2015, it was possible to estimate trajectories and locations where ARS behaviour of blue whales was inferred at a 4h time interval.

To assess blue whale movements and behavior, a Bayesian switching statespace model (SSSM) was applied to Argos-derived telemetry data (Jonsen et al. 2005; Jonsen et al. 2013). An SSSM essentially estimates animal location at fixed time intervals, movement parameters and behavioral patterns.

Two important sources of uncertainty can be measured separately: estimation error resulting from inaccurate observations (Argos location error) and process variability linked to the stochasticity of the movement process (behavior mode estimation) (Jonsen et al. 2003; Patterson et al. 2008).

The points visible on land are the result of errors in the Argos geographic position calculation. They have been deliberately left unchanged to assess the performance of the model, which was able to clean up some positions, but not all.

Lesage, V., Gavrilchuk, K., Andrews, R.D., and Sears, R. 2016. Wintering areas, fall movements and foraging sites of blue whales satellite-tracked in the Western North Atlantic. DFO Can. Sci. Advis. Sec. Res. Doc. 2016/078. v + 38 p.

Data and Resources

Additional Info

Field Value
Last Updated April 17, 2026, 21:05 (UTC)
Created April 17, 2026, 21:05 (UTC)
contact_email Oceans-QC@dfo-mpo.gc.ca
contact_person {"en": "Government of Canada; Fisheries and Oceans Canada; Regional Ecosystems Management Branch, Marine Planning and Conservation", "fr": "Gouvernement du Canada; Pêches et Océans Canada; Direction régionale de la gestion des écosystèmes, Planification et conservation marines"}
criticality_level []
data_dictionary EPSG:4269,https://epsg.io,
geographic_scope []
open_canada_collection fgp
open_canada_date_published 2016-09-01 00:00:00
open_canada_keywords {"en": ["Blue Whale", "Seasonal Movements Feeding Areas", "Environment", "Marine biology", "Oceans"], "fr": ["Rorqual bleu", "Mouvements saisonniers Sites d'alimentation", "Environnement", "Biologie marine", "Océan"]}
open_canada_subject ["nature_and_environment", "science_and_technology"]
sensitivity_level unrestricted
title_fr Rorqual bleu - Trajectoires et localisation des aires restreintes de recherche
update_frequency not_planned