Academic literature on the topic 'Baleen whales Baleen whales Baleen whales Epidermis'

Baleen whales can be regularly observed in the Celtic Sea; however, little is known about their local foraging behaviour. The study objective was to determine whether or not baleen whales selectively prey upon particular forage fish species or, on the contrary, is predation on the Celtic Sea plateau driven by random encounters between prey and predator? Concurrent sighting surveys for fin (Balaenoptera physalus), minke (Balaenoptera acutorostrata), and humpback (Megaptera novaeangliae) whales were carried out simultaneously from 2007 to 2013 during dedicated fisheries acoustic surveys assessing the abundance and distribution of forage fish. Probabilities of spatial overlap between baleen whales and forage fish were analysed and compared with the probability of a random encounter. For estimations of foraging threshold and prey selectivity, mean fish biomass and fish length were calculated when baleen whales and forage fish co-occurred. Whales were dominantly observed in areas with herring (Clupea harengus) and sprat (Sprattus sprattus), while areas with mackerel (Scomber scombrus) were not targeted. A prey detection range of up to 8 km was found, which enables baleen whales to track their prey to minimize search effort. Fish densities within the defined foraging distance ranged from 0.001 to 3 kg·m−2 and were correlated to total fish abundance. No prey size selectivity according to fish length was found. By linking baleen whale distribution to high-density herring and sprat areas, it was possible to identify the Celtic Sea as a prey hot spot for baleen whales during autumn.

We compiled age estimates and baleen plate δ13C data from 86 bowhead whales ( Balaena mysticetus L., 1758). We used previous whale age estimates based on aspartic acid racemization (AAR) and corpora counts to extend the use of δ13C data for age determination from cycle counting to a modified exponential model using annual baleen growth increments. Our approach used the growth increment data from individual whales in a nonlinear mixed effects model to assess both population-level and whale-specific growth parameters. Although age estimates from baleen-based models become less precise as the whales age, and baleen growth and length near steady state, the growth increment model shows promise in estimating ages of bowhead whales 10–13.5 m long with baleen lengths <250 cm, where other techniques are less precise or the data are scarce. Ages estimated using the growth increment data from such whales ranged from 6.4 to 19.8 years.

We used baleen lengths and age estimates from 175 whales and body lengths and age estimates from 205 whales to test which of several single- and multi-stage growth models best characterized age-specific baleen and body lengths for bowhead whales ( Balaena mysticetus L., 1758) with the goal of determining which would be best for predicting whale age based on baleen or body length. Previous age estimates were compiled from several techniques, each of which is valid over a relatively limited set of physical characteristics. The best fitting single-stage growth model was a variation of the von Bertalanffy growth model for both baleen and body length data. Based on Bayesian information criterion, the two- and three-stage versions of the von Bertalanffy model fit the data better than did the single-stage models for both baleen and body length. The best baleen length models can be used to estimate expected ages for bowhead whales with up to 300–325 cm baleen, depending on sex, which correspond to age estimates approaching 60 years. The best body length models can be used to estimate expected ages for male bowhead whales up to 14 m, and female bowheads up to 15.5 m or ages up to approximately 40 years.

Baleen, an anisotropic oral filtering tissue found only in the mouth of mysticete whales and made solely of alpha-keratin, exhibits markedly differing physical and mechanical properties between dried or (as in life) hydrated states. On average baleen is 32.35% water by weight in North Atlantic right whales ( Eubalaena glacialis ) and 34.37% in bowhead whales ( Balaena mysticetus ). Baleen's wettability measured by water droplet contact angles shows that dried baleen is hydrophobic whereas hydrated baleen is highly hydrophilic. Three-point flexural bending tests of mechanical strength reveal that baleen is strong yet ductile. Dried baleen is brittle and shatters at about 20–30 N mm −2 but hydrated baleen is less stiff; it bends with little force and absorbed water is squeezed out when force is applied. Maximum recorded stress was 4× higher in dried (mean 14.29 N mm −2 ) versus hydrated (mean 3.69 N mm −2 ) baleen, and the flexural stiffness was >10× higher in dried (mean 633N mm −2 ) versus hydrated (mean 58 N mm −2 ) baleen. In addition to documenting hydration's powerful effects on baleen, this study indicates that baleen is far more pliant and malleable than commonly supposed, with implications for studies of baleen's structure and function as well as its susceptibility to oil or other hydrophobic pollutants.

AbstractAs baleen whales recover from severe exploitation, they are probably subject to a wide variety of threats within the Antarctic marine ecosystem, including directed take. Here we review both the management and current status of Antarctic baleen whales and consider those threats likely to impact on them. Threats range from global problems - marine pollution and climate change - to localized issues including shipping, habitat disturbance, unregulated wildlife tourism and fishery activities. We identify the most pressing anthropogenic threats to baleen whales including scientific whaling and climate change. It is unclear whether current management approaches will be able to effectively encompass all these threats while also accounting both for the differing levels of scientific understanding and for the differing recovery rates of the whale species. For management we recommend the following: 1) incorporation of both ecosystem considerations and the suite of identified threats not limited to direct take, 2) identification of measurable indicators of changes in whales that allow more certainty in monitoring of populations and the environment, and 3) recognition of significant relationships between baleen whales and habitat features to provide information on distribution and use.

Here we endeavoured to quantify the filtration mechanics of rorquals and the material properties of baleen “gums” (termed zwischensubstanz) by examining and testing the baleen of a fin whale (Balaenoptera physalus). It was hypothesized that fin whales use cross-flow filtration to filter krill from engulfed seawater such that krill and other debris do not become entangled in the baleen fringes. Cross-flow filtration was proposed as an alternate mechanism to dead-end sieving since it would create a highly concentrated suspension of krill inside the mouth (potentially at the oesophageal opening) and would also not require krill to contact the baleen, eliminating clogging and filtering efficiency losses. We tested filtration mechanisms by placing a sixty-two centimetre section of baleen from a fin whale in a circular water tank and imitating the whale’s environment through various flow scenarios and setups. It was not conclusively determined whether cross-flow filtration is the mechanism used by fin whales, but a new mechanism was proposed called centripetal filtration in which two slugs of water spiral anteriorly on the left and right side of the whale’s oral cavity. Further examination of this proposed mechanism is required. The material properties of the zwischensubstanz that holds baleen plates together and the development of baleen plates through this zwischensubstanz were also examined. Zwischensubstanz exhibits isotropic properties similar to soft rubber in compression with an average Young’s modulus of 2.56 ± 0.60 MPa and 44.4 ± 2.4% hysteresis when compressed at 0.5 Hz, as it appears to space the baleen plates and absorb stresses translated from the plates. Through this rubbery zwischensubstanz, the baleen plates develop from conical papillae to hard, keratinized plates. The zwischensubstanz forms a matrix around the papillae and is calcified and keratinized before exiting the zwischensubstanz as a fully developed plate. The discoveries made here with regard to centripetal filtration and the properties of zwischensubstanz are preliminary attempts at quantifying baleen whale filtration and its associated feeding structures. Such work has been rare in the literature and there are many questions left to be answered by eager scientists with regard to the greatest biomechanical event in the world.

La gestion du milieu marin pour de multiples usages est une problématique de plus en plus en complexe. La création d’aires marines protégées (AMP) a été désignée comme étant une stratégie efficace afin de concilier la conservation avec les autres usages. Cependant, pour atteindre les objectifs de conservation, un plan de gestion bien défini de même qu’un programme de suivi efficace doivent être instaurés. En 1998, le parc marin du Saguenay–Saint-Laurent (PMSSL) a été créé afin de protéger plusieurs écosystèmes important de l’Estuaire du Saint-Laurent. Une industrie d’observation en mer de baleines en pleine croissance était déjà établie dans la région, qui est également traversé par une voie de navigation commerciale importante. Treize espèces de mammifères marins sont présentes dans la région, parmi lesquelles, quatre espèces de rorquals sont le centre d’intérêt du présent travail : le petit rorqual (Balaenoptera acutorostrata), le rorqual commun (Balaenoptera physalus), le rorqual à bosse (Megaptera novaeangliae) et le rorqual bleu (Balaenoptera musculus). La réduction des risques de collision et des perturbations du comportement susceptibles d’entrainer des conséquences physiologiques constitue un des enjeux majeures pour la conservation des baleines dans cette région. Avant de s’intéresser aux impacts du trafic maritime, des questions de base doivent être étudiées: Combien de baleines utilisent le secteur? Où sont les zones de fortes concentrations? Pour répondre à ces questions, des données d’échantillonnage par distance le long de transect linéaire sur une période de quatre ans (2006-2009) ont été utilisées pour estimer la densité et l’abondance et pour construire un modèle spatiale de la densité (MSD). Les espèces les plus abondantes sont le petit rorqual (45, 95% IC = 34-59) et le rorqual commun (24, 95% IC=18-34), suivi du rorqual bleu (3, 95% IC=2-5) et du rorqual à bosse (2, 95% IC=1-4). Les modèles additifs généralisés ont été utilisées afin de modéliser le nombre d’individus observé par espèce en fonction des variables environnementales. Les MSD ont permis l’identification des zones de concentration de chaque espèce à l’intérieur des limites de la portion de l’estuaire maritime du PMSSL et à valider les abondances estimées à partir des recensements systématiques. De plus, ils ont validé la pertinence de la zone de protection marine de l’estuaire du Saint-Laurent proposée (ZPMESL) pour la conservation du rorqual bleu, une espèce en voie de disparition. Un exercice d’extrapolation a également été effectué afin de prédire les habitats du rorqual bleu à l’extérieur de la zone d’échantillonnage. Les résultats ont montré une bonne superposition avec des jeux de données indépendants. Malgré la nature exploratoire de cet exercice et dans l’attente de meilleures informations, il pourrait servir de base de discussion pour l’élaboration de mesures de gestion afin d’augmenter la protection de l’espèce. Ensuite, les systèmes d’informations géographiques ont été utilisés afin de vérifier le degré de chevauchement entre la navigation commerciale et les résultats des MSD de chaque espèce et l’exercice d’extrapolation. Les analyses ont identifiées les zones de forte cooccurrence entre les navires et les rorquals. Ces résultats démontrent la pertinence des mesures de gestion récemment proposées et ont mené à une recommandation d’ajustement de l’actuel corridor de navigation afin de diminuer le risque de collision. Finalement, le chevauchement avec l’industrie d’observation de baleines a été caractérisé avec des données d’un échantillonnage à partir de points terrestres conduit de 2008 à 2010. Bien que toutes les espèces de rorquals aient été suivies, seulement les résultats concernant les rorquals bleus et les rorquals à bosses sont présentés ici. Pour les rorquals bleus, 14 heures de données d’observation ont été analysées. Les rorquals bleus étaient exposés aux bateaux (<1 km), principalement les zodiacs commerciaux, dans 74 % des intervalles de surface (IS) analysés. L’exposition continue était de 2 à 19 IS et le nombre moyen de bateaux à l’intérieur d’un rayon de 1 km était 2.3 (±2.7, max=14). Lorsqu’en observation de l’animal focal, tous les bateaux commerciaux ont utilisé la zone à l’intérieur de 400 m, enfreignant ainsi le règlement qui prescrit une distance de retrait minimale de 400 m dans le cas d’espèces en voie de disparition. De plus, la variance du taux respiratoire de chaque individu était corrélée avec le pourcentage d’exposition au bateaux (0.73, p<0.05) suggérant une modification comportementale susceptible d’entrainer des conséquences physiologiques. Bien que le rorqual à bosse n’ait pas un statut de conservation critique, sont comportements en fait une cible importante de l’industrie d’observation. Un total de 50.4 heures d’observation du rorqual à bosse a été analysé. Les rorquals à bosse étaient exposés aux bateaux, principalement aux zodiacs commerciaux, pendant 78.5% du temps d’observation. Le nombre moyen de bateaux dans un rayon de 1 km était de 1.9 (±2.3, max=22). L’exposition cumulative aux activités d’observation de baleines peut avoir des conséquences à long terme pour les rorquals. L’application du règlement et des mesures pour augmenter la sensibilisation et le respect de la règlementation actuelle sont nécessaires. Des suggestions pour améliorer la règlementation actuelle sont proposées. Ce travail présente pour la première fois des estimés d’abondance pour l’aire d’étude, améliore les informations disponibles sur les zones de fortes concentrations, donne un appui à l’établissement d’un plan de zonage adéquat à l’intérieur des limites du PMSSL et souligne l’importance de l’établissement de la ZPMESL proposée. Par sa revue compréhensive de la question du trafic maritime en lien avec les rorquals présents dans l’estuaire, cette étude fournit des informations précieuses pour la gestion de ce système socio-écologique complexe.<br>Management of the marine environment for multiple usages has become increasingly complex. The creation of Marine Protected Areas (MPAs) has been pointed out as a successful strategy for combining conservation with other uses. However, to attain conservation goals, a well-defined management plan and a robust monitoring program need to be set. In 1998, the Saguenay St. Lawrence Marine Park (SSLMP) was decreed to protect important ecosystems of the St. Lawrence River Estuary. A growing whale watching industry was already established in the area which is also crossed by an important shipping lane. Thirteen marine mammal species occur in the area, among them, four baleen species, which are the focus of the present work: minke whales (Balaenoptera acutorostrata), fin whales (Balaenoptera physalus), humpback whales (Megaptera novaeangliae) and the blue whales (Balaenoptera musculus). Whales’ protection in this area of intensive marine traffic is of concern due to a high collision probability and induced behavioral and physiological changes. Before addressing the effects of the marine traffic, some basic questions needed to be answered: How many baleen whales use the area? Where are their core areas? To answer that, line-transect distance-sampling data collected over four years (2006-2009) were used to estimate density and abundance and to build a spatial density model (SDM). The most abundant species were minke (45, 95% CI=34-59) and fin whales (24, 95% CI=18-34), followed by blue (3, 95% CI=2-5) and humpback whales (2, 95% CI=1-4). Generalized additive models were used to model each species count as a function of space and environmental variables. The SDM allowed the identification of each species core area within the marine portion of the SSLMP, and corroborated the abundance estimates derived from design-based methods. In addition, it corroborated the relevance of the proposed St. Lawrence Estuary Marine Protected (SLEMPA) Area to the conservation of essential habitats of the endangered blue whale. An extrapolation exercise was performed to predict blue whales’ habitats outside the surveyed area. Despite its exploratory nature, the results showed a good match with independent data sets and in the lack of better information could guide the discussion of management measures to enhance species’ protection. Next, Geographic Information System capabilities were used to verify the degree of overlap between the navigation corridor and the resulting SDM of each species and the extrapolation model. The analysis highlighted areas of important co-occurrence of whales and ships, corroborated the adequacy of recently proposed management measures and resulted in a recommendation of adjustment to the current shipping lane in order to decrease collision risk. Finally, the overlap with the whale watching industry was characterized with data from a land-based survey conducted from 2008 to 2010. Although all baleen whale species were tracked, here only results of blue and humpback whales were presented. For blue whales, data from 14 hours of observation were analyzed. Whales were exposed to boats, mainly commercial zodiacs, in 74% of their surface intervals (SI). Continuous exposure ranged from 2 to 19 SI and the mean number of boats within a 1 km radius was 2.3 (±2.7, max=14). A complete lack of compliance with the current whale watching regulations was observed. Additionally, individual blow rate variance was correlated with percentage of exposure to boats (0.73, p<0.05). Although humpback whales do not have a critical conservation status, their intrinsic behaviour makes them a major target to the industry. A total of 50.4 hours of humpback whale observation was analysed. Whales were exposed to boats, mainly commercial zodiacs, during 78.5% of the observation time. The mean number of boats within a 1 km radius was 1.9 (±2.3, max=22). The cumulative exposure to whale watching can have long-term consequences for whales. Law enforcement and measures to raise awareness and compliance to current regulations are urgently needed. Suggestions to improve the current regulation were provided. The present work presents the first abundance estimates for the study area, refines the available information on baleen whales core areas, provides support to the establishment of an adequate zoning plan within the SSLMP and stresses the relevance of the SLEMPA. In addition it provides an in depth overview of the marine traffic issue and provides valuable information to support management of this complex socio-ecological system.<br>Thesis written in co-mentorship with Robert Michaud.