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  • 1
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    PANGAEA
    In:  Supplement to: Hugelius, Gustaf; Kuhry, Peter; Tarnocai, Charles; Virtanen, Tarmo A (2010): Soil organic carbon pools in a periglacial landscape: a case study from the central Canadian Arctic. Permafrost and Periglacial Processes, 21(1), 16-29, https://doi.org/10.1002/ppp.677
    Publication Date: 2024-01-27
    Description: We investigated total storage and landscape partitioning of soil organic carbon (SOC) in continuous permafrost terrain, central Canadian Arctic. The study is based on soil chemical analyses of pedons sampled to 1 m depth at 35 individual sites along three transects. Radiocarbon dating of cryoturbated soil pockets, basal peat and fossil wood shows that cryoturbation processes have been occurring since the Middle Holocene and that peat deposits started to accumulate in a forest-tundra environment where spruce was present (~6000 cal yrs BP). Detailed partitioning of SOC into surface organic horizons, cryoturbated soil pockets and non-cryoturbated mineral soil horizons is calculated (with storage in active layer and permafrost calculated separately) and explored using principal component analysis. The detailed partitioning and mean storage of SOC in the landscape are estimated from transect vegetation inventories and a land cover classification based on a Landsat satellite image. Mean SOC storage in the 0-100 cm depth interval is 33.8 kg C/m**2, of which 11.8 kg C/m**2 is in permafrost. Fifty-six per cent of the total SOC mass is stored in peatlands (mainly bogs), but cryoturbated soil pockets in Turbic Cryosols also contribute significantly (17%). Elemental C/N ratios indicate that this cryoturbated soil organic matter (SOM) decomposes more slowly than SOM in surface O-horizons.
    Keywords: International Polar Year (2007-2008); ipy; IPY; Tulemalu; Tulemalu Lake, Canada
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Hugelius, Gustaf; Virtanen, Tarmo A; Kaverin, Dmitry; Pastukhov, Alexander; Rivkin, Felix; Marchenko, Sergey; Romanovsky, Vladimir E; Kuhry, Peter (2011): High-resolution mapping of ecosystem carbon storage and potential effects of permafrost thaw in periglacial terrain, European Russian Arctic. Journal of Geophysical Research, 116(G3), G03024, https://doi.org/10.1029/2010JG001606
    Publication Date: 2024-01-27
    Description: This study describes detailed partitioning of phytomass carbon (C) and soil organic carbon (SOC) for four study areas in discontinuous permafrost terrain, Northeast European Russia. The mean aboveground phytomass C storage is 0.7 kg C/m**2. Estimated landscape SOC storage in the four areas varies between 34.5 and 47.0 kg C/m**2 with LCC (land cover classification) upscaling and 32.5-49.0 kg C/m**2 with soil map upscaling. A nested upscaling approach using a Landsat thematic mapper land cover classification for the surrounding region provides estimates within 5 ± 5% of the local high-resolution estimates. Permafrost peat plateaus hold the majority of total and frozen SOC, especially in the more southern study areas. Burying of SOC through cryoturbation of O- or A-horizons contributes between 1% and 16% (mean 5%) of total landscape SOC. The effect of active layer deepening and thermokarst expansion on SOC remobilization is modeled for one of the four areas. The active layer thickness dynamics from 1980 to 2099 is modeled using a transient spatially distributed permafrost model and lateral expansion of peat plateau thermokarst lakes is simulated using geographic information system analyses. Active layer deepening is expected to increase the proportion of SOC affected by seasonal thawing from 29% to 58%. A lateral expansion of 30 m would increase the amount of SOC stored in thermokarst lakes/fens from 2% to 22% of all SOC. By the end of this century, active layer deepening will likely affect more SOC than thermokarst expansion, but the SOC stores vulnerable to thermokarst are less decomposed.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
    Publication Date: 2024-01-27
    Keywords: Calculated via upscaling; Carbon, organic, mass per area; Event label; Latitude of event; Longitude of event; Method comment; MULT; Multiple investigations; Phytomass, carbon storage per area; Rogovaya_1; Rogovaya_2; Rogovaya_3; Seida; Usa_river_basin; Usa River basin, Northeast European Russia
    Type: Dataset
    Format: text/tab-separated-values, 104 data points
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  • 4
    Publication Date: 2024-01-27
    Keywords: Active layer depth; Carbon, organic, mass per area; Carbon, organic, standard deviation; Category; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; Organic matter, layer thickness; Organic matter, standard deviation; Permafrost; Phytomass, carbon storage per area; Rogovaya_1; Rogovaya_2; Rogovaya_3; Sample amount; Sample comment; Seida; Standard deviation; Usa_river_basin; Usa River basin, Northeast European Russia
    Type: Dataset
    Format: text/tab-separated-values, 461 data points
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Muster, Sina; Roth, Kurt; Langer, Moritz; Lange, Stephan; Cresto-Aleina, Fabio; Bartsch, Annett; Morgenstern, Anne; Grosse, Guido; Jones, Benjamin M; Sannel, A Britta K; Sjöberg, Ylva; Günther, Frank; Andresen, Christian; Veremeeva, Alexandra; Lindgren, Prajna R; Bouchard, Frédéric; Lara, Mark J; Fortier, Daniel; Charbonneau, Simon; Virtanen, Tarmo A; Hugelius, Gustaf; Palmtag, Juri; Siewert, Matthias Benjamin; Riley, William J; Koven, Charles D; Boike, Julia (2017): PeRL: a circum-Arctic Permafrost Region Pond and Lake database. Earth System Science Data, 9(1), 317-348, https://doi.org/10.5194/essd-9-317-2017
    Publication Date: 2024-01-27
    Description: Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1.0 × 10**4 m**2, have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002-2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of 1.4 × 10**6 km**2 across the Arctic, about 17 % of the Arctic lowland ( 〈 300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1.0 × 10**6 m**2 down to 1.0 × 10**2 m**2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1.0 × 10 to 9.4 × 10**1/km². Ponds are the dominant waterbody type by number in all landscapes representing 45-99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands.
    Keywords: Arctic; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; File format; File name; File size; PAGE21; pan-Arctic; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 6
    Publication Date: 2024-01-27
    Keywords: Age, 14C AMS; Age, 14C calibrated, OxCal 3; Age, dated; Age, dated standard deviation; Calendar age; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Description; Sample ID; Site; Tulemalu; Tulemalu Lake, Canada; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 124 data points
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  • 7
    Publication Date: 2024-01-27
    Keywords: Comment; Layer thickness; Sample comment; Sediment type; Site; Soil properties; Soil type; Thaw depth of active layer; Tulemalu; Tulemalu Lake, Canada; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 160 data points
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  • 8
    Publication Date: 2024-01-27
    Keywords: Calculated; Carbon, organic, mass per area; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Standard deviation; Tulemalu; Tulemalu Lake, Canada; Vegetation type
    Type: Dataset
    Format: text/tab-separated-values, 155 data points
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