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13 results for “beluga whale”
Data from: Assessing cetacean populations using integrated population models: an example with Cook Inlet beluga whales
<p>Effective conservation and management of animal populations requires knowledge of abundance and trends. For many species, these quantities are estimated using systematic visual surveys. Additional individual-level data are available for some species. Integrated population modelling (IPM) offers a mechanism for leveraging these datasets into a single estimation framework. IPMs that incorporate both population- and individual-level data have previously been developed for birds, but have rarely been applied to cetaceans. Here, we explore how IPMs can be used to improve the assessment of cetacean populations. We combined three types of data that are typically available for cetaceans of conservation concern: population-level visual survey data, individual-level capture-recapture data, and data on anthropogenic mortality. We used this IPM to estimate the population dynamics of the Cook Inlet population of beluga whales (CIBW; <i>Delphinapterus leucas</i>) as a case study. Our state-space IPM included a population process model and three observational submodels: 1) a group detection model to describe group size estimates from aerial survey data; 2) a capture-recapture model to describe individual photographic capture-recapture data; and 3) a Poisson regression model to describe historical hunting data. The IPM produces biologically plausible estimates of population trajectories consistent with all three datasets. The estimated population growth rate since 2000 is less than expected for a recovering population. The estimated juvenile/adult survival rate is also low compared to other cetacean populations, indicating that low survival may be impeding recovery. This work demonstrates the value of integrating various data sources to assess cetacean populations and serves as an example of how multiple, imperfect datasets can be combined to improve our understanding of a population of interest. The model framework is applicable to other cetacean populations and to other taxa for which similar data types are available.</p>
Data from: Assessing cetacean populations using integrated population models: an example with Cook Inlet beluga whales
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Conservation energetics of beluga whales: Rates of energy consumption during submerged swimming in beluga whales
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Data from: Seasonal flexibility in energy stores of Hudson Bay beluga whales: Insights from blubber lipid analysis
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Data from: Genetic profiling links changing sea-ice to shifting beluga whale migration patterns
There is increasing concern over how Arctic fauna will adapt to climate related changes in sea-ice. We used long-term sighting and genetic data on beluga whales (Delphinapterus leucas) in conjunction with multi-decadal patterns of sea-ice in the Pacific Arctic to investigate the influence of sea-ice on spring migration and summer residency patterns. Substantial variations in sea-ice conditions were detected across seasons, years and sub-regions, revealing ice–ocean dynamics more complex than Arctic-wide trends suggest. This variation contrasted with a highly consistent pattern of migration and residency by several populations, indicating that belugas can accommodate widely varying sea-ice conditions to perpetuate philopatry to coastal migration destinations. However, a number of anomalous migration and residency events were detected and coincided with anomalous ice years, and in one case with an increase in killer whale (Orcinus orca) sightings and reported predation on beluga whales. The behavioural shifts were likely driven by changing sea-ice and associated changes in resource dispersion and predation risk. Continued reductions in sea-ice may result in increased predation at key aggregation areas and shifts in beluga whale behaviour with implications for population viability, ecosystem structure and the subsistence cultures that rely on them.
Larger body size leads to greater female beluga whale ovarian reproductive activity at the southern periphery of their range
<p>Identification of phenotypic characteristics in reproductively successful individuals provides important insights into the evolutionary processes that cause range shifts due to environmental change. Female beluga whales (Delphinapterus leucas) from the Baffin Bay region (BB) of the Canadian Arctic in the core area of the species' geographic range have larger body size than their conspecifics at the southern range periphery in Hudson Bay (HB). We investigated the mechanism for this north and south divergence as it relates to ovarian reproductive activity (ORA = total corpora) that combines morphometric data with ovarian corpora counted from female reproductive tracts. Our study aim was to assess the relative influence of age and body size of female beluga whale on ovarian reproductive activity in the two populations. Female beluga whale ORA increased more quickly with age (63% partial variation explained) in BB than in HB (41%). In contrast, body length in HB female beluga whales accounted for considerably more of the total variation (12 vs 1%) in ORA compared to BB whales. We speculate that female HB beluga whale ORA was more strongly linked with body length due to higher population density resulting in food competition that favors the energetic advantages of larger body size during seasonal food limitations. Understanding the evolutionary mechanism of how ORA varies across a species' range will assist conservation efforts in anticipating and mitigating future challenges associated with a warming planet.</p>
Imitation of novel intransitive body actions in a Beluga whale (Delphinapterus leucas): A "do as other does" study
<p>Video S1 Training Session; Video S2 Dance DA; Video S3 Squirt SQ; Video S4 Ventral Leap VL; Video S5 Fluke Present FP; Video S6 Tail Splash TS; Video S7 Fluke Present FP 0,5 and FP correct; Video S8 Lateral Splash LS; Video S9 Pec Mimic PM; Video S10 Back Leap BL.</p>
Data from: Migratory culture, population structure and stock identity in North Pacific beluga whales (Delphinapterus leucas)
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Data from: Genetic profiling links changing sea-ice to shifting beluga whale migration patterns
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Larger body size leads to greater female beluga whale ovarian reproductive activity at the southern periphery of their range
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RNA-seq analysis of blood transcriptomes from beluga whales in Bristol Bay, Alaska, USA
GEO Series GSE98735. Delphinapterus leucas. 24 samples. Type: Expression profiling by high throughput sequencing.
Genome Methylation in Wild Beluga Whales
GEO Series GSE164465. Balaenoptera musculus; Megaptera novaeangliae; Delphinapterus leucas; Mus musculus; Rattus norvegicus; Cephalorhynchus hectori maui; Homo sapiens; Physeter macrocephalus. 143 samples. Type: Methylation profiling by genome tiling array.
SWCoV1 series; viral detection in Beluga whale liver
GEO Series GSE9238. Delphinapterus leucas; Viruses. 3 samples. Type: Expression profiling by array.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.