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  • AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI  (2)
  • AKS_lakes; Alaska North Slope; AWI_PerDyn; Central Yakutia; CYA_lakes; Elevation of event; Event label; File size; Kobuk-Selawik-Lowlands; KOL_lakes; Kolyma Lowland; Latitude of event; Longitude of event; NSL_lakes; Permafrost Research (Periglacial Dynamics) @ AWI; Uniform resource locator/link to file  (1)
  • Alaska_Seward_Peninsula_2009; AWI_PerDyn; Calcium carbonate; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Conductivity, electrolytic; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Deuterium excess; Nitrogen, total; Permafrost Research (Periglacial Dynamics) @ AWI; PG-Kit-43; pH; Salinity; SIPREC; SIPRE corer; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; Water content, wet mass; δ13C; δ18O, water; δ Deuterium  (1)
  • 2015-2019  (4)
Document type
Keywords
Publisher
Years
  • 2015-2019  (4)
Year
  • 1
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    PANGAEA
    In:  Supplement to: Lenz, Josefine; Jones, Benjamin M; Wetterich, Sebastian; Tjallingii, Rik; Fritz, Michael; Arp, Chistopher D; Rudaya, Natalia; Grosse, Guido (2016): Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain. arktos - The Journal of Arctic Geosciences, https://doi.org/10.1007/s41063-016-0025-0
    Publication Date: 2023-06-30
    Description: Arctic lowland landscapes have been modified by thermokarst lake processes throughout the Holocene. Thermokarst lakes form as a result of ice-rich permafrost degradation and they may expand over time through thermal and mechanical shoreline erosion. We studied proximal and distal sedimentary records from a thermokarst lake located on the Arctic Coastal Plain of northern Alaska to reconstruct the impact of catchment dynamics and morphology on the lacustrine depositional environment and to quantify carbon accumulation in thermokarst lake sediments. Short cores were collected for analysis of pollen, sedimentological and geochemical proxies. Radiocarbon and Pb/Cs dating, as well as extrapolation of measured historic lake expansion rates, were applied to estimate a minimum lake age of ~ 1,400 calendar years BP. The pollen record is in agreement with the young lake age as it does not include evidence of the "alder high" that occurred in the region ~ 4.0 cal ka BP. The lake most likely initiated from a remnant pond in a drained thermokarst lake basin (DTLB) and deepened rapidly as evidenced by accumulation of laminated sediments. Increasing oxygenation of the water column as shown by higher Fe/Ti and Fe/S ratios in the sediment indicate shifts in ice regime with increasing water depth. More recently, the sediment source changed as the thermokarst lake expanded through lateral permafrost degradation, alternating from redeposited DTLB sediments, to increased amounts of sediment from eroding, older upland deposits, followed by a more balanced combination of both DTLB and upland sources. The characterizing shifts in sediment sources and depositional regimes in expanding thermokarst lakes were therefore archived in the thermokarst lake sedimentary record. This study also highlights the potential for Arctic lakes to recycle old carbon from thawing permafrost and thermokarst processes.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Nitze, Ingmar; Grosse, Guido; Jones, Benjamin M; Arp, Chistopher D; Ulrich, Mathias; Fedorov, Alexander N; Veremeeva, Alexandra (2017): Landsat-Based Trend Analysis of Lake Dynamics across Northern Permafrost Regions. Remote Sensing, 9(7), 640, https://doi.org/10.3390/rs9070640
    Publication Date: 2023-06-30
    Description: Lakes are a ubiquitous landscape feature in northern permafrost regions. They have a strong impact on carbon, energy and water fluxes and can be quite responsive to climate change. The monitoring of lake change in northern high latitudes, at a sufficiently accurate spatial and temporal resolution, is crucial for understanding the underlying processes driving lake change. To date, lake change studies in permafrost regions were based on a variety of different sources, image acquisition periods and single snapshots, and localized analysis, which hinders the comparison of different regions. Here we present, a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and object-based lake detection, to analyze and compare the individual, local and regional lake dynamics of four different study sites (Alaska North Slope, Western Alaska, Central Yakutia, Kolyma Lowland) in the northern permafrost zone from 1999 to 2014. Regional patterns of lake area change on the Alaska North Slope (-0.69%), Western Alaska (-2.82%), and Kolyma Lowland (-0.51%) largely include increases due to thermokarst lake expansion, but more dominant lake area losses due to catastrophic lake drainage events. In contrast, Central Yakutia showed a remarkable increase in lake area of 48.48%, likely resulting from warmer and wetter climate conditions over the latter half of the study period. Within all study regions, variability in lake dynamics was associated with differences in permafrost characteristics, landscape position (i.e. upland vs. lowland), and surface geology. With the global availability of Landsat data and a consistent methodology for processing the input data derived from robust trends of multi-spectral indices, we demonstrate a transferability, scalability and consistency of lake change analysis within the northern permafrost region.
    Keywords: AKS_lakes; Alaska North Slope; AWI_PerDyn; Central Yakutia; CYA_lakes; Elevation of event; Event label; File size; Kobuk-Selawik-Lowlands; KOL_lakes; Kolyma Lowland; Latitude of event; Longitude of event; NSL_lakes; Permafrost Research (Periglacial Dynamics) @ AWI; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Lenz, Josefine; Grosse, Guido; Jones, Benjamin M; Walter Anthony, Katey M; Bobrov, Anatoly A; Wulf, Sabine; Wetterich, Sebastian (2015): Mid-Wisconsin to Holocene permafrost and landscape dynamics based on a drained lake basin core from the northern Seward Peninsula, Northwest Alaska. Permafrost and Periglacial Processes, https://doi.org/10.1002/ppp.1848
    Publication Date: 2024-02-06
    Description: Permafrost-related processes drive regional landscape dynamics in the Arctic terrestrial system. A better understanding of past periods indicative of permafrost degradation and aggradation is important for predicting the future response of Arctic landscapes to climate change. Here, we used a multi-proxy approach to analyze a ~4 m long sediment core from a drained thermokarst lake basin on the northern Seward Peninsula in western Arctic Alaska (USA). Sedimentological, biogeochemistical, geochronological, micropaleontological (ostracoda, testate amoeba) and tephra analyses were used to determine the long-term environmental Early-Wisconsin to Holocene history preserved in our core for Central Beringia. Yedoma accumulation dominated throughout the Early to Late-Wisconsin but was interrupted by wetland formation from 44.5 to 41.5 ka BP. The latter was terminated by deposition of 1 m of volcanic tephra, most likely originating from the South Killeak Maar eruption at about 42 ka BP. Yedoma deposition continued until 22.5 ka BP and was followed by a depositional hiatus in the sediment core between 22.5 and 0.23 ka BP. We interpret this hiatus as due to intense thermokarst activity in the areas surrounding the site, which served as a sediment source during the Late-Wisconsin to Holocene climate transition. The lake forming the modern basin on the upland initiated around 0.23 ka BP, which drained catastrophically in spring 2005. The present study emphasizes that Arctic lake systems and periglacial landscapes are highly dynamic and permafrost formation as well as degradation in Central Beringia was controlled by regional to global climate patterns and as well as by local disturbances.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 6 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-02-06
    Keywords: Alaska_Seward_Peninsula_2009; AWI_PerDyn; Calcium carbonate; Carbon, inorganic, total; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Conductivity, electrolytic; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Deuterium excess; Nitrogen, total; Permafrost Research (Periglacial Dynamics) @ AWI; PG-Kit-43; pH; Salinity; SIPREC; SIPRE corer; Size fraction 〈 0.002 mm, clay; Size fraction 〉 2 mm, gravel; Size fraction 0.063-0.002 mm, silt, mud; Size fraction 2.000-0.063 mm, sand; Water content, wet mass; δ13C; δ18O, water; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 1198 data points
    Location Call Number Limitation Availability
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