scholarly journals Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing in the ‘New Digital Arctic’

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Diana Solovyeva ◽  
Inga Bysykatova-Harmey ◽  
Sergey L. Vartanyan ◽  
Alexander Kondratyev ◽  
Falk Huettmann
Keyword(s):  
Open Access ◽  
Ecological Niche ◽  
Global Climate ◽  
High Arctic ◽  
Fine Tuning ◽  
The Arctic ◽  
Relative Index ◽  
Polar Species ◽  
Bean Goose ◽  
Anser Fabalis

AbstractMany polar species and habitats are now affected by man-made global climate change and underlying infrastructure. These anthropogenic forces have resulted in clear implications and many significant changes in the arctic, leading to the emergence of new climate, habitats and other issues including digital online infrastructure representing a ‘New Artic’. Arctic grazers, like Eastern Russian migratory populations of Tundra Bean Goose Anser fabalis and Greater White-fronted Goose A. albifrons, are representative examples and they are affected along the entire flyway in East Asia, namely China, Japan and Korea. Here we present the best publicly-available long-term (24 years) digitized geographic information system (GIS) data for the breeding study area (East Yakutia and Chukotka) and its habitats with ISO-compliant metadata. Further, we used seven publicly available compiled Open Access GIS predictor layers to predict the distribution for these two species within the tundra habitats. Using BIG DATA we are able to improve on the ecological niche prediction inference for both species by focusing for the first time specifically on biological relevant population cohorts: post-breeding moulting non-breeders, as well as post-breeding parent birds with broods. To assure inference with certainty, we assessed it with 4 lines of evidence including alternative best-available open access field data from GBIF.org as well as occurrence data compiled from the literature. Despite incomplete data, we found a good model accuracy in support of our evidence for a robust inference of the species distributions. Our predictions indicate a strong publicly best-available relative index of occurrence (RIO). These results are based on the quantified ecological niche showing more realistic gradual occurrence patterns but which are not fully in agreement with the current strictly applied parsimonious flyway and species delineations. While our predictions are to be improved further, e.g. when synergetic data are made freely available, here we offer within data caveats the first open access model platform for fine-tuning and future predictions for this otherwise poorly represented region in times of a rapid changing industrialized ‘New Arctic’ with global repercussions.

scholarly journals Modeling Eastern Russian High Arctic Geese (Anser fabalis, A. albifrons) during moult and brood rearing with Machine Learning, Open Access GIS and 24 years-long Big Data: Good Evidence for the New Digital Arctic of 2021

2021 ◽  
Author(s):  
Diana Solovyeva ◽  
Inga Bysykatova-Harmey ◽  
Sergey L. Vartanyan ◽  
Alexander Kondratyev ◽  
Falk Huettmann
Keyword(s):  
Open Access ◽  
Ecological Niche ◽  
Global Climate ◽  
High Arctic ◽  
Good Evidence ◽  
Fine Tuning ◽  
Relative Index ◽  
New Findings ◽  
Bean Goose ◽  
Anser Fabalis

Abstract Many polar species and habitats are now affected by man-made global climate change and underlying infrastructure; it makes for a New Arctic. Arctic grazers, like Eastern Russian migratory populations of Tundra Bean Goose Anser fabalis and Greater White-fronted Goose A. albifrons, are affected along the entire flyway in East Asia, namely China, Japan and Korea. Here we present the best-available long-term 24 years digitized GIS data for the breeding study area (East Yakutia and Chukotka) and its habitats with ISO-compliant metadata. Further, we used seven publically available GIS predictor layers to predict the distribution for these two species within the tundra habitats. We are able to improve on the ecological niche prediction inference for both species by focusing for the first time specifically on biological relevant aspects: post-breeding moulting non-breeders, as well as post-breeding parent birds with broods. We then assessed it with 4 lines of evidence including alternative best-available open access field data from GBIF.org as well as compiled literature and found a good model accuracy in support of our evidence for a robust inference of these new findings. Our predictions indicate a relative index of occurrence (RIO) based on the quantified ecological niche showing more realistic gradual occurrence patterns and that are not fully in agreement with the current strictly applied parsimonious flyway and species delineations. While our predictions are to be improved further, e.g. when synergetic data are made freely available, here we offer the first open access model platform for fine-tuning and future predictions for this otherwise poorly represented region in times of a highly changing industrialized ‘new’ arctic with global repercussions.

scholarly journals A Remotely Operated Lidar for Aerosol, Temperature, and Water Vapor Profiling in the High Arctic

2012 ◽  
Vol 29 (2) ◽  
pp. 221-234 ◽  
Author(s):  
G. J. Nott ◽  
T. J. Duck ◽  
J. G. Doyle ◽  
M. E. W. Coffin ◽  
C. Perro ◽  
...  
Keyword(s):  
Water Vapor ◽  
Measurement Techniques ◽  
High Arctic ◽  
Interference Filter ◽  
Fine Tuning ◽  
The Arctic ◽  
Tropospheric Temperature ◽  
Mixing Ratio ◽  
Atmospheric Conditions ◽  
Water Vapor Mixing Ratio

Abstract A Rayleigh–Mie–Raman lidar has been installed and is operating in the Polar Environment Atmospheric Research Laboratory at Eureka in the High Arctic (79°59′N, 85°56′W) as part of the Canadian Network for the Detection of Atmospheric Change. The lidar operates in both the visible and ultraviolet and measures aerosol backscatter and extinction coefficients, depolarization ratio, tropospheric temperature, and water vapor mixing ratio. Variable field of view, aperture, and filtering allow fine-tuning of the instrument for different atmospheric conditions. Because of the remote location, operations are carried out via a satellite link. The instrument is introduced along with the measurement techniques utilized and interference filter specifications. The temperature dependence of the water vapor signal depends on the filter specifications, and this is discussed in terms of minimizing the uncertainty of the water vapor mixing ratio product. Finally, an example measurement is presented to illustrate the potential of this instrument for studying the Arctic atmosphere.

scholarly journals Birds of three worlds: moult migration to high Arctic expands a boreal-temperate flyway to a third biome

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Antti Piironen ◽  
Antti Paasivaara ◽  
Toni Laaksonen
Keyword(s):  
Bird Migration ◽  
High Arctic ◽  
The Arctic ◽  
Migratory Connectivity ◽  
Migration Routes ◽  
Arctic Ecosystems ◽  
Long Distance ◽  
Novaya Zemlya ◽  
Bean Goose ◽  
Moult Migration

Abstract Background Knowledge on migration patterns and flyways is a key for understanding the dynamics of migratory populations and evolution of migratory behaviour. Bird migration is usually considered to be movements between breeding and wintering areas, while less attention has been paid to other long-distance movements such as moult migration. Methods We use high-resolution satellite-tracking data from 58 taiga bean geese Anser fabalis fabalis from the years 2019–2020, to study their moult migration during breeding season. We show the moulting sites, estimate the migratory connectivity between the breeding and the moulting sites, and estimate the utilization distributions during moult. We reveal migration routes and compare the length and timing of migration between moult migrants and successful breeders. Results All satellite-tracked non-breeding and unsuccessfully breeding taiga bean geese migrated annually to the island of Novaya Zemlya in the high Arctic for wing moult, meaning that a large part of the population gathers at the moulting sites outside the breeding range annually for approximately three months. Migratory connectivity between breeding and moulting sites was very low (rm =  − 0.001, 95% CI − 0.1562–0.2897), indicating that individuals from different breeding grounds mix with each other on the moulting sites. Moult migrants began fall migration later in autumn than successful breeders, and their overall annual migration distance was over twofold compared to the successful breeders. Conclusions Regular moult migration makes the Arctic an equally relevant habitat for the taiga bean goose population as their boreal breeding and temperate wintering grounds, and links ecological communities in these biomes. Moult migration plays an important role in the movement patterns and spatio-temporal distribution of the population. Low migratory connectivity between breeding and moulting sites can potentially contribute to the gene flow within the population. Moult migration to the high Arctic exposes the population to the rapid impacts of global warming to Arctic ecosystems. Additionally, Novaya Zemlya holds radioactive contaminants from various sources, which might still pose a threat to moult migrants. Generally, these results show that moult migration may essentially contribute to the way we should consider bird migration and migratory flyways.

scholarly journals Seasonal and diel activity patterns of the endangered taiga bean goose (Anser fabalis fabalis) during the breeding season, monitored with camera traps

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254254
Author(s):  
Milaja Nykänen ◽  
Hannu Pöysä ◽  
Sari Hakkarainen ◽  
Tuomas Rajala ◽  
Juho Matala ◽  
...  
Keyword(s):  
Breeding Season ◽  
Activity Patterns ◽  
Time Of Day ◽  
Camera Traps ◽  
The Arctic ◽  
Diel Activity ◽  
Ecological Knowledge ◽  
Bean Goose ◽  
Diel Activity Patterns ◽  
Anser Fabalis

Taiga bean goose (Anser fabalis fabalis) is an endangered subspecies that breeds sporadically in remote habitats in the arctic and boreal zones. Due to its elusive behaviour, there is a paucity of knowledge on the behaviour of taiga bean goose during the breeding season, and survey methods for monitoring numbers in the breeding areas are lacking. Camera traps are a useful tool for wildlife monitoring, particularly when there is a need for non-invasive methods due to the shy nature of the species. In this study, we tested the use of camera traps to investigate seasonal and diel activity patterns of taiga bean goose in Finland over two successive breeding seasons, 2018 and 2019. We did this by modelling counts of geese from images with generalized linear and additive mixed models. The camera type (cameras placed by experts specialized in bean goose ecology vs randomly placed cameras) did not influence the count of taiga bean goose (p = 0.386). However, the activity varied significantly by region, Julian day, time of day and temperature, with the study site (individual peatland) and year adding substantial random variation and uncertainty in the counts. Altogether, the best fitting model explained nearly 70% of the variation in taiga bean goose activity. The peak in activity occurred about a month later in the southernmost region compared to the more northern regions, which may indicate behaviours related to migration rather than breeding and moulting. Our results show that long-term monitoring with game camera traps provide a potential unobtrusive approach for studying the behavioural patterns of taiga bean goose and can increase our ecological knowledge of this little-known subspecies. The results can be applied to planning of the annual censuses and finding the optimal time frame for their execution.

scholarly journals Mantoniella Beaufortii and Mantoniella Baffinensis sp. nov. (Mamiellales, Mamiellophyceae), Two New Green Algal Species from the High Arctic

2018 ◽  
Author(s):  
Sheree Yau ◽  
Adriana Lopes dos Santos ◽  
Wenche Eikrem ◽  
Catherine Gérikas Ribero ◽  
Priscilla Gourvil ◽  
...  
Keyword(s):  
New Species ◽  
Algal Species ◽  
High Arctic ◽  
The Arctic ◽  
Temperate Species ◽  
Polar Species ◽  
Molecular Features ◽  
Green Algal ◽  
The Family ◽  
Polar Distribution

AbstractMembers of the class Mamiellophyceae comprise species that can dominate picophytoplankton diversity in polar waters. Yet polar species are often morphologically indistinguishable from temperate species, although clearly separated by molecular features. Here we examine four Mamiellophyceae strains from the Canadian Arctic. The 18S rRNA and Internal Transcribed Spacer 2 (ITS2) gene phylogeny place these strains within the family Mamiellaceae (Mamiellales, Mamiellophyceae) in two separate clades of the genus Mantoniella. ITS2 synapomorphies support their placement as two new species, Mantoniella beaufortii and Mantoniella baffinensis. Both species have round green cells with diameter between 3–5 μm, one long flagellum and a short reduced flagellum (~1 μm) and are covered by spiderweb-like scales, making both species similar to other Mantoniella species. Morphologically, M. beaufortii and M. baffinensis are most similar to the cosmopolitan M. squamata with only minor differences in scale structure distinguishing them. Screening of global marine metabarcoding datasets indicates M. beaufortii has only been recorded in seawater and sea ice samples from the Arctic while no environmental barcode matches M. baffinensis. Like other Mamiellophyceae genera that have distinct polar and temperate species, the polar distribution of these new species suggests they are cold or ice-adapted Mantoniella species.

Effects of Permafrost Disturbance on Trace Gas Flux in a High Arctic Ecosystem

2016 ◽  
Author(s):  
Alison Beamish
Keyword(s):  
Active Layer ◽  
Global Climate ◽  
High Arctic ◽  
Co2 Exchange ◽  
The Arctic ◽  
Trace Gas ◽  
Arctic Ecosystems ◽  
Gas Flux ◽  
Temperature And Precipitation ◽  
The Impact

High Arctic ecosystems are likely to experience some of the earliest and most extreme changes in climate as a result of future global climate change. These changes will likely include both increases in temperature and precipitation. High-Arctic ecosystems are very sensitive to climatic disruption, and the response of these ecosystems to changes in climate could have a strong influence on future climate. In particular, changes in temperature and moisture will cause the active layer to deepen as a result of enhanced permafrost melting. This deepening will decrease stability in shallow slopes leading to soil disturbances known as active layer detachments.. We are exploring the impact of active layer detachments on net ecosystem trace gas (CH4, N2O and CO2) exchange at the Cape Bounty Arctic Watershed Observatory on Melville Island. Eight plots were established in four different detachments, covering a range of disturbance intensities (control, disturbed and highly disturbed). Based on collected and analysed gas samples, it appears disturbance has an effect on trace gas exchange. Initial results show a distinct difference across the disturbance gradient. These findings have important implications if summer temperatures are to rise and disturbance frequency increases. Continued monitoring of these sites is important to assess the changes in trace gas flux over time since disturbance. Quantifying the impact of active layer detachments is crucial to furthering our understanding of the arctic carbon and trace gas cycles.

scholarly journals Pacific Salmon in the Rapidly Changing Arctic: Exploring Local Knowledge and Emerging Fisheries in Utqiaġvik and Nuiqsut, Alaska

ARCTIC ◽  
2019 ◽  
Vol 72 (3) ◽  
pp. 273-288 ◽  
Author(s):  
Courtney Carothers ◽  
Todd L. Sformo ◽  
Shelley Cotton ◽  
John C. George ◽  
Peter A.H. Westley
Keyword(s):  
Local Knowledge ◽  
Oil And Gas ◽  
Pacific Salmon ◽  
Global Climate ◽  
High Arctic ◽  
Current Data ◽  
The Arctic ◽  
Oil And Gas Development ◽  
Salmon Fisheries ◽  
Over Time

One of the most pervasive signals of global climate change is altered patterns of distribution with trends towards poleward shifts of species. While habitat loss and destruction has severed connections between people and salmon in many locales, salmon fisheries in the high Arctic are just beginning to develop. To explore these emergent connections, we gathered local knowledge about Pacific salmon and emerging subsistence salmon fisheries in the Beaufort Sea region through ethnographic research in Utqiaġvik (formerly Barrow) and Nuiqsut, Alaska. Between 2010 and 2013, we interviewed 41 active fishermen and Elders who generally agreed that harvests of Pacific salmon species have been increasing in recent years, beginning in the 1990s and early 2000s. About 46% of active fishermen and Elders who discussed salmon abundance perceived an increasing trend over time. Another 43% characterized salmon abundance as cyclical or perceived no directional trend over time. The remaining fishermen (all from Nuiqsut) expressed their perception of decreasing salmon and fish abundance overall related to oil and gas development impacts to their local lands and waters. Given these mixed perceptions and harvests being an imperfect proxy for abundance, it remains unclear whether salmon populations are expanding in Arctic river systems. However, research participants have identified new stream systems not currently documented in the scientific literature where salmon are present and thought to be spawning. In both communities, we found that many fishermen and Elders often do not differentiate Pacific salmon species. Fishermen in both communities are developing new knowledge of salmon and increasing their use of salmon as a subsistence resource, yet uncertainties in the current data and local knowledge combine to generate equivocal evidence that salmon abundance is increasing. This lack of a clear increase in salmon abundance provides nuance to a simple story that warming has led to the increases of salmon in the Arctic. Despite the uncertainty regarding abundance, it is clear we are witnessing an emergence of new salmon fisheries in the high Arctic, perceived to be one among a suite of environmental and social changes currently being experienced in this region.

Summer phytoplankton of the northern Barents Sea (75–80º N)

2019 ◽  
pp. 8-19
Author(s):  
Larisa A. Pautova ◽  
Vladimir A. Silkin ◽  
Marina D. Kravchishina ◽  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Weighted Average ◽  
Arctic Basin ◽  
High Arctic ◽  
Alexandrium Tamarense ◽  
Warm Water ◽  
The Arctic ◽  
Absolute Maximum ◽  
Deep Trench ◽  
Maximum Biomass

The structure of the summer planktonic communities of the Northern part of the Barents sea in the first half of August 2017 were studied. In the sea-ice melting area, the average phytoplankton biomass producing upper 50-meter layer of water reached values levels of eutrophic waters (up to 2.1 g/m3). Phytoplankton was presented by diatoms of the genera Thalassiosira and Eucampia. Maximum biomass recorded at depths of 22–52 m, the absolute maximum biomass community (5,0 g/m3) marked on the horizon of 45 m (station 5558), located at the outlet of the deep trench Franz Victoria near the West coast of the archipelago Franz Josef Land. In ice-free waters, phytoplankton abundance was low, and the weighted average biomass (8.0 mg/m3 – 123.1 mg/m3) corresponded to oligotrophic waters and lower mesotrophic waters. In the upper layers of the water population abundance was dominated by small flagellates and picoplankton from, biomass – Arctic dinoflagellates (Gymnodinium spp.) and cold Atlantic complexes (Gyrodinium lachryma, Alexandrium tamarense, Dinophysis norvegica). The proportion of Atlantic species in phytoplankton reached 75%. The representatives of warm-water Atlantic complex (Emiliania huxleyi, Rhizosolenia hebetata f. semispina, Ceratium horridum) were recorded up to 80º N, as indicators of the penetration of warm Atlantic waters into the Arctic basin. The presence of oceanic Atlantic species as warm-water and cold systems in the high Arctic indicates the strengthening of processes of “atlantificacion” in the region.

scholarly journals Observation-based selection of climate models projects Arctic ice-free summers around 2035

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
David Docquier ◽  
Torben Koenigk
Keyword(s):  
Model Selection ◽  
Sea Ice ◽  
Climate Models ◽  
Global Climate ◽  
Coupled Model ◽  
Arctic Sea Ice ◽  
Global Climate Models ◽  
The Arctic ◽  
Arctic Sea ◽  
Area And Volume

AbstractArctic sea ice has been retreating at an accelerating pace over the past decades. Model projections show that the Arctic Ocean could be almost ice free in summer by the middle of this century. However, the uncertainties related to these projections are relatively large. Here we use 33 global climate models from the Coupled Model Intercomparison Project 6 (CMIP6) and select models that best capture the observed Arctic sea-ice area and volume and northward ocean heat transport to refine model projections of Arctic sea ice. This model selection leads to lower Arctic sea-ice area and volume relative to the multi-model mean without model selection and summer ice-free conditions could occur as early as around 2035. These results highlight a potential underestimation of future Arctic sea-ice loss when including all CMIP6 models.

scholarly journals Societal implications of a changing Arctic Ocean

AMBIO ◽  
2021 ◽  
Author(s):  
Henry P. Huntington ◽  
Andrey Zagorsky ◽  
Bjørn P. Kaltenborn ◽  
Hyoung Chul Shin ◽  
Jackie Dawson ◽  
...  
Keyword(s):  
Sea Ice ◽  
Arctic Ocean ◽  
Indigenous Peoples ◽  
Global Climate ◽  
Rapid Change ◽  
The Arctic ◽  
Cultural Continuity ◽  
Societal Implications ◽  
Arctic Ecosystems ◽  
The Many

AbstractThe Arctic Ocean is undergoing rapid change: sea ice is being lost, waters are warming, coastlines are eroding, species are moving into new areas, and more. This paper explores the many ways that a changing Arctic Ocean affects societies in the Arctic and around the world. In the Arctic, Indigenous Peoples are again seeing their food security threatened and cultural continuity in danger of disruption. Resource development is increasing as is interest in tourism and possibilities for trans-Arctic maritime trade, creating new opportunities and also new stresses. Beyond the Arctic, changes in sea ice affect mid-latitude weather, and Arctic economic opportunities may re-shape commodities and transportation markets. Rising interest in the Arctic is also raising geopolitical tensions about the region. What happens next depends in large part on the choices made within and beyond the Arctic concerning global climate change and industrial policies and Arctic ecosystems and cultures.

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