Environmental change and increasing levels of human activity are threats to marine mammals in the Arctic. Identifying marine mammal hotspots and areas of high species richness are essential to help guide management and conservation efforts. Herein, space use based on biotelemetric tracking devices deployed on 13 species (ringed seal Pusa hispida, bearded seal Erignathus barbatus, harbour seal Phoca vitulina, walrus Odobenus rosmarus, harp seal Pagophilus groenlandicus, hooded seal Cystophora cristata, polar bear Ursus maritimus, bowhead whale Balaena mysticetus, narwhal Monodon monoceros, white whale Delphinapterus leucas, blue whale Balaenoptera musculus, fin whale Balaenoptera physalus and humpback whale Megaptera novaeangliae; total = 585 individuals) in the Greenland and northern Barents Seas between 2005 and 2018 is reported. Getis-Ord Gi* hotspots were calculated for each species as well as all species combined, and areas of high species richness were identified for summer/autumn (Jun-Dec), winter/spring (Jan-May) and the entire year. The marginal ice zone (MIZ) of the Greenland Sea and northern Barents Sea, the waters surrounding the Svalbard Archipelago and a few Northeast Greenland coastal sites were identified as key marine mammal hotspots and areas of high species richness in this region. Individual hotspots identified areas important for most of the tagged animals, such as common resting, nursing, moulting and foraging areas. Location hotspots identified areas heavily used by segments of the tagged populations, including denning areas for polar bears and foraging areas. The hotspots identified herein are also important habitats for seabirds and fishes, and thus conservation and management measures targeting these regions would benefit multiple groups of Arctic animals.

Identifying genetically different groups of animals, occupying specific geographical areas, is a prerequisite for conservation and management priorities. In the present study, the genetic structure of Atlantic walruses (Odobenus rosmarus rosmarus) occupying the Pechora Sea (PEC) in the western Russian Arctic, including walruses from Svalbard-Franz Josef Land (SVA-FJL) and East Greenland (EGR) regions, was investigated using 14 microsatellites (N = 159) and mtDNA sequences (N = 212). Bayesian-based clustering analysis identified two clusters: EGR and the other Northeast Atlantic areas. Pairwise F ST analyses based on microsatellites revealed low but significant genetic differences between walruses from the PEC and SVA-FJL groups, which was supported by mtDNA analysis. F ST was not significant for all sampling years, indicating a temporal effect or male-biased gene flow. Extended Bayesian Skyline Plots suggested a constant female subpopulation size (N ef) for EGR and an increase for the SVA-FJL and PEC groups that commenced around 40-30 Kyr ago, indicating different demographic histories for walruses in the EGR. Further, the evolutionary phylogenetic relationship between Atlantic and Pacific walruses (O. r. divergence), based on mtDNA sequences, showed a monophyletic Atlantic clade, suggesting that Atlantic and Pacific walruses diverged ~949 Kyr. The principal finding suggests that PEC walruses show low, but significant genetic distinction from walruses in SVA-FJL and should be managed conservatively, as a separate, small population.

The Pechora Sea in the western Russian Arctic is inhabited by Atlantic walrus (Odobenus rosmarus rosmarus). Until recently, walruses in this region remained the least-studied stock within the Atlantic subspecies. This benthic feeding pinniped requires careful management in this area because of the rapid industrial development that has taken place in the last decade in the region. In this study, 35 adult male Atlantic walruses were tagged with platform terminal transmitters (PTTs) on the western coast of Vaygach Island in the Pechora Sea in July-August 2012-2017. For the 30 PTTs that functioned, the average duration of the tracking records was 47 ± SE 6 days (maximum: 155 days). Most of the tagged animals (83%) stayed in the eastern part of the Pechora Sea between Pechora Bay, the southern tip of Novaya Zemlya and the western coast of Vaygach Island. The identified core range (4000 km 2) was located between Vaygach Island and Matveev and Dolgiy islands; including a series of coastal haul-outs and a marine area which is likely an important feeding ground. Five of the tagged walruses left the Pechora Sea and moved to areas up to 1500 km away (maximum 2115 km by track distance) from the tagging location, including the northern part of Novaya Zemlya, the central Kara Sea and the northern part of the Severnaya Zemlya Archipelago. This is the first evidence that walruses from the southeastern Barents Sea occupy the Kara Sea. Eight terrestrial haul-outs in the Kara Sea were identified.

The Atlantic walrus, Odobenus rosmarus rosmarus, forms a herd of nearly 4,000 heads in the Pechora Sea (south‐eastern Barents Sea). The Near Threatened status of O. rosmarus rosmarus and the relative isolation of the Pechora Sea population, as well as the potential impacts of human activities in the area, make it important to characterize key habitats, including feeding grounds, in order to protect the species. The aim of the present study was to integrate multiple sources of environmental and biological data collected by satellite telemetry, remotely operated vehicle (ROV), and benthic grab sampling to examine the distribution and diversity of benthic foraging resources used by walrus in the Pechora Sea. Analysis of satellite telemetry data from seven males tagged on Vaigach Island helped to identify areas of high use by walruses near haulout sites on Matveev and Vaigach islands, and in between. Field data were collected from those feeding grounds in July 2016 using ROV video recordings and bottom grab sampling. Analysis of 19 grab stations revealed a heterogeneous macrobenthic community of 133 taxa with a mean biomass of 147.11 ± 7.35 g/m2. Bivalve molluscs, particularly Astarte borealis, Astarte montagui, and Ciliatocardium ciliatum, dominated the overall macrobenthic biomass, making up two‐thirds of the total. Analysis of 16 ROV video transects showed high occurrences of mobile benthic decapods (3.03 ± 2.74 ind./min) and provided the first direct evidence that areas actively used by walrus in the Pechora Sea overlap with the distribution of the non‐native omnivorous snow crab, Chionoecetes opilio. Integrating multiple data sources provides an early foundation for the kinds of ecosystem‐based approaches needed to improve Pechora Sea resource management and to underpin Russia’s nascent marine spatial planning initiatives. Factors that need to be considered in marine spatial planning include impacts on benthic feeding grounds from offshore oil and gas development and the spread of the snow crab.

Aim: Identify hotspots and areas of high species richness for Arctic marine mammals.Location: Circumpolar Arctic.Methods: A total of 2115 biologging devices were deployed on marine mammals from 13 species in the Arctic from 2005 to 2019. Getis-Ord G i * hotspots were calculated based on the number of individuals in grid cells for each species and for phylogenetic groups (nine pinnipeds, three cetaceans, all species) and areas with high species richness were identified for summer (Jun-Nov), winter (Dec-May) and the entire year. Seasonal habitat differences among species' hotspots were investigated using Principal Component Analysis.Results: Hotspots and areas with high species richness occurred within the Arctic continental-shelf seas and within the marginal ice zone, particularly in the "Arctic gateways" of the north Atlantic and Pacific oceans. Summer hotspots were generally found further north than winter hotspots, but there were exceptions to this pattern, including bowhead whales in the Greenland-Barents Seas and species with coastal distributions in Svalbard, Norway and East Greenland. Areas with high species richness generally overlapped high-density hotspots. Large regional and seasonal differences in habitat features of hotspots were found among species but also within species from different regions. Gap analysis (discrepancy between hotspots and IUCN ranges) identified species and regions where more research is required. Main conclusions:This study identified important areas (and habitat types) for Arctic marine mammals using available biotelemetry data. The results herein serve as a benchmark to measure future distributional shifts. Expanded monitoring and telemetry studies are needed on Arctic species to understand the impacts of climate change and concomitant ecosystem changes (synergistic effects of multiple stressors). While efforts should be made to fill knowledge gaps, including regional gaps and more complete sex and age coverage, hotspots identified herein can inform management efforts to mitigate the impacts of human activities and ecological changes, including creation of protected areas.