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The success of ETV in our series could have been predicted by ETVSS. Predictability could help establish stricter surgical selection criteria, thereby obtaining higher success rates, as well as preparing the patients and their families for expected outcomes.

Macaronesia, an oceanic area located in the Northeast Atlantic, exhibits a high topographic and oceanographic complexity that enables a rich biodiversity. So far, seven species of baleen whales have been recorded in the area. These are migratory animals that travel long distances between feeding grounds at high latitudes in summer and tropical areas for mating and breeding in winter. As baleen whales are such mobile animals, the conservation and management of their habitat is highly challenging. Hence, knowing and understanding the patterns of their distribution is fundamental. Despite the many records of baleen whales in Macaronesia, heterogeneity in research effort has resulted in scattered occurrence data that leads to an incomplete picture of their distribution in the area. We aim to increase knowledge of distribution patterns of baleen whales, and identify research effort gaps in Macaronesia. From a total of 14 peer‐reviewed publications, four public reports, two poster presentations, and four data bases, we gathered 1798 records in Macaronesia since 1990 for four species of baleen whale: minke whale Balaenoptera acutorostrata, fin whale Balaenoptera physalus, blue whale Balaenoptera musculus, and humpback whale Megaptera novaeangliae. Spatio‐temporal descriptive analyses and ecological modelling were carried out in order to understand occurrence patterns. The results show a big lack of research effort and occurrence data in offshore areas and in some coastal waters, namely off the West African coast. Moreover, blue, fin, and humpback whales are sighted mainly in spring in the north of Macaronesia, while minke whale distribution is clearly different: they have a stronger presence in summer. This study highlights areas in urgent need of research effort in order to inform decision‐makers and support effective measures for the protection and conservation of baleen whales in Macaronesia.

Blue whales are sighted every year around the Azores islands, which apparently provide an important seasonal foraging area. In this paper we aim to characterize habitat preferences and analyze the temporal distribution of blue whales around São Miguel Island. To do so, we applied Generalized Additive Models to an opportunistic cetacean occurrence dataset and remotely sensed environmental data on bathymetry, sea surface temperature, chlorophyll concentration and altimetry. We provide a brief description of the oceanography of the area, emphasizing its high spatio-temporal variability. In order to capture this dynamism, we used environmental data with two different spatial resolutions (low and high) and three different temporal resolutions (daily, weekly and monthly), thus accounting for both long-term oceanographic events such as the spring bloom, and shorter-term features such as eddies or fronts. Our results show that blue whales have a well-defined ecological niche around the Azores. They usually cross the archipelago from March to June and habitat suitability is highest in dynamic areas (with high Eddy Kinetic Energy) characterized by convergence or aggregation zones where productivity is enhanced. Multi-scale studies are useful to understand the ecological niche and habitat requirements of highly mobile species that can easily react to short-term changes in the environment.

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