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  • 1
  • 2
    Publication Date: 2024-01-27
    Keywords: Alaska North Slope; Aldan River outcrop Mamontova Gora; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Cape_Anisii_Kotelnii_Island_2002; Cape Mamontov Klyk, Laptev Sea; Central Yakutia; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment of event; Date/Time of event; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvanny Yar, Yakutia; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File size; Identification; Investigator; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Kitluk_River_Seward_Peninsula_2010; Kolyma Lowland, NE Siberia; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Latitude of event; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Location of event; Longitude of event; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Klyk_2003; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; Northern_Bykovsky_Peninsula_2014; NW Chukotka; Oyagoss_Yar_2002; Rauchua_river_bank_2011; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo Sise Island, Lena Delta; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tube_Dispenser_Lake_Cherskii_2007; Uniform resource locator/link to image; Uniform resource locator/link to thumbnail; Ust_Rauchua_coast_2014; Yana-Indigirka Lowland, NE Siberia
    Type: Dataset
    Format: text/tab-separated-values, 259 data points
    Location Call Number Expected Availability
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  • 3
  • 4
    Publication Date: 2024-04-20
    Description: Vast portions of Arctic and sub-Arctic Siberia, Alaska and the Yukon Territory are covered by ice-rich silty to sandy deposits that are containing large ice wedges, resulting from syngenetic sedimentation and freezing. Accompanied by wedge-ice growth in polygonal landscapes, the sedimentation process was driven by cold continental climatic and environmental conditions in unglaciated regions during the late Pleistocene, inducing the accumulation of the unique Yedoma deposits up to 〉50 meters thick. Because of fast incorporation of organic material into syngenetic permafrost during its formation, Yedoma deposits include well-preserved organic matter. Ice-rich deposits like Yedoma are especially prone to degradation triggered by climate changes or human activity. When Yedoma deposits degrade, large amounts of sequestered organic carbon as well as other nutrients are released and become part of active biogeochemical cycling. This could be of global significance for future climate warming as increased permafrost thaw is likely to lead to a positive feedback through enhanced greenhouse gas fluxes. Therefore, a detailed assessment of the current Yedoma deposit coverage and its volume is of importance to estimate its potential response to future climate changes. We synthesized the map of the coverage and thickness estimation, which will provide critical data needed for further research. In particular, this preliminary Yedoma map is a great step forward to understand the spatial heterogeneity of Yedoma deposits and its regional coverage. There will be further applications in the context of reconstructing paleo-environmental dynamics and past ecosystems like the mammoth-steppe-tundra, or ground ice distribution including future thermokarst vulnerability. Moreover, the map will be a crucial improvement of the data basis needed to refine the present-day Yedoma permafrost organic carbon inventory, which is assumed to be between 83±12 (Strauss et al., 2013, doi:10.1002/2013GL058088) and 129±30 (Walter Anthony et al., 2014, doi:10.1038/nature13560) gigatonnes (Gt) of organic carbon in perennially-frozen archives. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. For compiling this map, we used (1) maps of the previous Yedoma coverage estimates, (2) included the digitized areas from Grosse et al. (2013) as well as extracted areas of potential Yedoma distribution from additional surface geological and Quaternary geological maps (1.: 1:500,000: Q-51-V,G; P-51-A,B; P-52-A,B; Q-52-V,G; P-52-V,G; Q-51-A,B; R-51-V,G; R-52-V,G; R-52-A,B; 2.: 1:1,000,000: P-50-51; P-52-53; P-58-59; Q-42-43; Q-44-45; Q-50-51; Q-52-53; Q-54-55; Q-56-57; Q-58-59; Q-60-1; R-(40)-42; R-43-(45); R-(45)-47; R-48-(50); R-51; R-53-(55); R-(55)-57; R-58-(60); S-44-46; S-47-49; S-50-52; S-53-55; 3.: 1:2,500,000: Quaternary map of the territory of Russian Federation, 4.: Alaska Permafrost Map). The digitalization was done using GIS techniques (ArcGIS) and vectorization of raster Images (Adobe Photoshop and Illustrator). Data on Yedoma thickness are obtained from boreholes and exposures reported in the scientific literature. The map and database are still preliminary and will have to undergo a technical and scientific vetting and review process. In their current form, we included a range of attributes for Yedoma area polygons based on lithological and stratigraphical information from the original source maps as well as a confidence level for our classification of an area as Yedoma (3 stages: confirmed, likely, or uncertain). In its current version, our database includes more than 365 boreholes and exposures and more than 2000 digitized Yedoma areas. We expect that the database will continue to grow. In this preliminary stage, we estimate the Northern Hemisphere Yedoma deposit area to cover approximately 625,000 km². We estimate that 53% of the total Yedoma area today is located in the tundra zone, 47% in the taiga zone. Separated from west to east, 29% of the Yedoma area is found in North America and 71 % in North Asia. The latter include 9% in West Siberia, 11% in Central Siberia, 44% in East Siberia and 7% in Far East Russia. Adding the recent maximum Yedoma region (including all Yedoma uplands, thermokarst lakes and basins, and river valleys) of 1.4 million km² (Strauss et al., 2013, doi:10.1002/2013GL058088) and postulating that Yedoma occupied up to 80% of the adjacent formerly exposed and now flooded Beringia shelves (1.9 million km², down to 125 m below modern sea level, between 105°E - 128°W and 〉68°N), we assume that the Last Glacial Maximum Yedoma region likely covered more than 3 million km² of Beringia. Acknowledgements: This project is part of the Action Group "The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness" (funded by the International Permafrost Association (IPA) to J. Strauss) and is embedded into the Permafrost Carbon Network (working group Yedoma Carbon Stocks). We acknowledge the support by the European Research Council (Starting Grant #338335), the German Federal Ministry of Education and Research (Grant 01DM12011 and "CarboPerm" (03G0836A)), the Initiative and Networking Fund of the Helmholtz Association (#ERC-0013) and the German Federal Environment Agency (UBA, project UFOPLAN FKZ 3712 41 106).
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 5
    Publication Date: 2024-04-20
    Description: Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.
    Keywords: Alaska North Slope; Aldan River outcrop Mamontova Gora; Allaikha_Yedoma; Arctic Ocean; Area/locality; AWI_Perma; Ayon; base of ice complex; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Beaver_Creek; Belkovsky; Binary Object; BLOSSOM; Blossom Cape; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Bykovsky_Peninsula; Cape_Anisii_Kotelnii_Island_2002; Cape_Maly_Chukochy; Cape Mamontov Klyk, Laptev Sea; Central_Yakutia; Central Yakutia; Chukotka, Russia; climate feedbacks; Coast_of_the_East-Siberian_Sea; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment; CRREL; DATE/TIME; Dresvyanyi_Island; Duvanny_Yar; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvannyi_Yar; Duvanny Yar, Yakutia; East Siberian Sea; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File type; Geological profile sampling; GEOPRO; Great_Khomus_River; Greenhouse gas source; Identification; Investigator; IPA_Yedoma_Action_Group; Itkillik_River; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Khaptashin_Yar; Khardang; Kitluk_River_Seward_Peninsula_2010; Klondike_area; Kolyma Lowland, NE Siberia; Konstantinovskoye; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Kychchyma; KYT; Kytalyk; Kytalyk, Indigirka lowlands, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Late Pleistocene; LATITUDE; Lena-Amga_Rivers; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Lena Delta, Siberia, Russia; Lesser_Chaun_Strait; LONGITUDE; Maly_Lyakhovsky_Island; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Khayata; Mamontovy_Klyk_2003; Molotlovskiy_Kamen; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; N_Yakutia; Nagym; Nagym_Lena; Northern_Bykovsky_Peninsula_2014; Northern_Seward_Peninsula; NW Chukotka; Old_Allaikha; Oyagoss_Yar_2002; Palisades; Permafrost; Permafrost Research; PETA-CARB; Plakhino; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Rauchua_river_bank_2011; Rauhua_River; Russkoe; Sakha Republic, Russia; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo-Sise_Cliff; Sobo Sise Island, Lena Delta; SSC; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tanda; thermokarst; The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness; Tube_Dispenser_Lake_Cherskii_2007; Tyungyulyu_alas; Ust_Rauchua_coast_2014; Uste-Omolon_Yar; Vankina_River_mouth; Vault_Creek_Tunnel; Vilyui_River; Yana-Indigirka Lowland, NE Siberia; Yedoma; Yedoma_IRYP
    Type: Dataset
    Format: text/tab-separated-values, 1124 data points
    Location Call Number Expected Availability
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  • 6
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The landmass known as Beringia is an extensive region that existed during the Pleistocene epoch and included the land bridge between present-day Siberia and Alaska, now submerged beneath the Bering Strait. It must have been covered with vegetation even during the coldest part of the most recent ...
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1365-3091
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Efforts to map the lithology and geometry of sand and gravel channel-belts and valley-fills are limited by an inability to easily obtain information about the shallow subsurface. Until recently, boreholes were the only method available to obtain this information; however, borehole programmes are costly, time consuming and always leave in doubt the stratigraphic connection between and beyond the boreholes. Although standard shallow geophysical techniques such as ground-penetrating radar (GPR) and shallow seismic can rapidly obtain subsurface data with high horizontal resolution, they only function well under select conditions. Electrical resistivity ground imaging (ERGI) is a recently developed shallow geophysical technique that rapidly produces high-resolution profiles of the shallow subsurface under most field conditions. ERGI uses measurements of the ground's resistance to an electrical current to develop a two-dimensional model of the shallow subsurface (〈200 m) called an ERGI profile. ERGI measurements work equally well in resistive sediments (‘clean’ sand and gravel) and in conductive sediments (silt and clay). This paper tests the effectiveness of ERGI in mapping the lithology and geometry of buried fluvial deposits. ERGI surveys are presented from two channel-fills and two valley-fills. ERGI profiles are compared with lithostratigraphic profiles from borehole logs, sediment cores, wireline logs or GPR. Depth, width and lithology of sand and gravel channel-fills and adjacent sediments can be accurately detected and delineated from the ERGI profiles, even when buried beneath 1–20 m of silt/clay.
    Type of Medium: Electronic Resource
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  • 8
    Publication Date: 2016-07-02
    Description: Vast portions of Arctic and sub-Arctic Siberia, Alaska and the Yukon Territory are covered by ice-rich silty to sandy deposits that are containing large ice wedges, resulting from syngenetic sedimentation and freezing. Accompanied by wedge-ice growth in polygonal landscapes, the sedimentation process was driven by cold continental climatic and environmental conditions in unglaciated regions during the late Pleistocene, inducing the accumulation of the unique Yedoma deposits up to 〉50 meters thick. Because of fast incorporation of organic material into syngenetic permafrost during its formation, Yedoma deposits include well-preserved organic matter. Ice-rich deposits like Yedoma are especially prone to degradation triggered by climate changes or human activity. When Yedoma deposits degrade, large amounts of sequestered organic carbon as well as other nutrients are released and become part of active biogeochemical cycling. This could be of global significance for future climate warming as increased permafrost thaw is likely to lead to a positive feedback through enhanced greenhouse gas fluxes. Therefore, a detailed assessment of the current Yedoma deposit coverage and its volume is of importance to estimate its potential response to future climate changes. We synthesized the map of the coverage (see figure) and thickness estimation, which will provide critical data needed for further research. In particular, this preliminary Yedoma map is a great step forward to understand the spatial heterogeneity of Yedoma deposits and its regional coverage. There will be further applications in the context of reconstructing paleo-environmental dynamics and past ecosystems like the mammoth-steppe-tundra, or ground ice distribution including future thermokarst vulnerability. Moreover, the map will be a crucial improvement of the data basis needed to refine the present-day Yedoma permafrost organic carbon inventory, which is assumed to be between 83±12 (Strauss et al., 2013) and 129±30 (Walter Anthony et al., 2014) gigatonnes (Gt) of organic carbon in perennially-frozen archives. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map (see figure). For compiling this map, we used (1) maps of the previous Yedoma coverage estimates, (2) included the digitized areas from Grosse et al. (2013) as well as extracted areas of potential Yedoma distribution from additional surface geological and Quaternary geological maps (1.: 1:500,000: Q-51-V,G; P-51-A,B; P-52-A,B; Q-52-V,G; P-52-V,G; Q-51-A,B; R-51-V,G; R-52-V,G; R-52-A,B; 2.: 1:1,000,000: P-50-51; P-52-53; P-58-59; Q-42-43; Q-44-45; Q-50-51; Q-52-53; Q-54-55; Q-56-57; Q-58-59; Q-60; R-(40)-42; R-43-(45); R-(45)-47; R-48-(50); R-51; R-53-(55); R-(55)-57; R-58-(60); S-44-46; S-47-49; S-50-52; S-53-55; 3.: 1:2,500,000: Quaternary map of the territory of Russian Federation, 4.: Alaska Permafrost Map). The digitalization was done using GIS techniques (ArcGIS) and vectorization of raster Images (Adobe Photoshop and Illustrator). Data on Yedoma thickness are obtained from boreholes and exposures reported in the scientific literature. The map and database are still preliminary and will have to undergo a technical and scientific vetting and review process. In their current form, we included a range of attributes for Yedoma area polygons based on lithological and stratigraphical information from the original source maps as well as a confidence level for our classification of an area as Yedoma (3 stages: confirmed, likely, or uncertain). In its current version, our database includes more than 365 boreholes and exposures and more than 2000 digitized Yedoma areas. We expect that the database will continue to grow. In this preliminary stage, we estimate the Northern Hemisphere Yedoma deposit area to cover approximately 625,000 km². We estimate that 53% of the total Yedoma area today is located in the tundra zone, 47% in the taiga zone. Separated from west to east, 29% of the Yedoma area is found in North America and 71 % in North Asia. The latter include 9% in West Siberia, 11% in Central Siberia, 44% in East Siberia and 7% in Far East Russia. Adding the recent maximum Yedoma region (including all Yedoma uplands, thermokarst lakes and basins, and river valleys) of 1.4 million km² (see figure and Strauss et al. (2013)) and postulating that Yedoma occupied up to 80% of the adjacent formerly exposed and now flooded Beringia shelves (1.9 million km², down to 125 m below modern sea level, between 105°E – 128°W and 〉68°N), we assume that the Last Glacial Maximum Yedoma region likely covered more than 3 million km² of Beringia. Acknowledgements: This project is part of the Action Group “The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness” (funded by the International Permafrost Association (IPA) to J. Strauss) and is embedded into the Permafrost Carbon Network (working group Yedoma Carbon Stocks). We acknowledge the support by the European Research Council (Starting Grant #338335), the German Federal Ministry of Education and Research (Grant 01DM12011 and “CarboPerm” (03G0836A)), the Initiative and Networking Fund of the Helmholtz Association (#ERC-0013) and the German Federal Environment Agency (UBA, project UFOPLAN FKZ 3712 41 106). References Grosse, G., Robinson, J.E., Bryant, R., Taylor, M.D., Harper, W., DeMasi, A., Kyker-Snowman, E., Veremeeva, A., Schirrmeister, L. and Harden, J., 2013. Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia. US Geological Survey Open File Report, 1078. U.S. Geological Survey Reston, Virginia, 37 pp. Strauss, J., Schirrmeister, L., Grosse, G., Wetterich, S., Ulrich, M., Herzschuh, U. and Hubberten, H.-W., 2013. The Deep Permafrost Carbon Pool of the Yedoma Region in Siberia and Alaska. Geophysical Research Letters, 40: 6165–6170, doi:10.1002/2013GL058088. Walter Anthony, K.M., Zimov, S.A., Grosse, G., Jones, M.C., Anthony, P.M., Chapin III, F.S., Finlay, J.C., Mack, M.C., Davydov, S., Frenzel, P. and Frolking, S., 2014. A shift of thermokarst lakes from carbon sources to sinks during the Holocene epoch. Nature, 511: 452–456, doi:10.1038/nature13560.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 9
    Publication Date: 2017-12-31
    Description: Die Action Group "The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness" der Internationalen Permafrost Assoziation (IPA) hat es zum Ziel die Verbreitung und Mächtigkeit von Yedoma Permafrost, einem spätpleitozänen sehr eisreichem Permafrost, zu quantifizieren. Yedoma ist durch Eisgehalte von bis zu 80vol% sehr anfällig gegenüber Erwärmung. Denn wenn das Bodeneis schmilzt und abgeführt wird sind Absenkungen der Bodenoberflächen von mehr als 30 Metern möglich, was deutliche Auswirkungen hat auf die Landschaft, samt Infrastruktur und menschlicher Landnutzung. Als Produkt dieses Projektes möchten wir hier eine circum-arktische Karte präsentieren. Diese Daten werden als Grundlage dazu dienen, den Kohlenstoffpool von Yedoma Ablagerungen realistisch in computergestützte Modelle zu implementieren und die zukünftigen Auswirkungen von Thermokarst und Thermoerosion auf die Treibhausgasemissionen abzuschätzen.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev , info:eu-repo/semantics/conferenceObject
    Format: application/pdf
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  • 10
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    Laboratoire EDYTEM - Université Savoie Mont Blanc
    In:  EPIC35th European Conference on Permafrost, Chamonix Mont-Blanc, France, 2018-06-23-2018-07-01Le Bourget du Lac cedex, Laboratoire EDYTEM - Université Savoie Mont Blanc
    Publication Date: 2018-07-05
    Description: Yedoma deposits developed from the syngenetic accumulation and freezing of organic-rich and ice-rich sediments during the Late Pleistocene over vast portions of Siberia, Alaska and Yukon Territory. Cryostratigraphic investigations revealed the presence of a yedoma deposit in the Beaver Creek area of south-western Yukon. The Beaver Creek area was not glaciated during the last glacial advance and the cryostratigraphic record comprises Middle Wisconsinian up to Holocene deposits covering the Mirror Creek disintegration moraine. Reworking of glacial deposits by alluvial and solifluction processes and peat accumulation in the depression of the hummocky moraine likely occurred during the Middle Wisconsinian period and was followed during the Late Wisconsinian by the yedoma build-up. A major thaw event interrupted the syngenetic permafrost aggradation which eventually resumed as attested by the upward growth of ice wedges.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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