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  • 1
    Online Resource
    Online Resource
    BMBF-Verbundprojekt WTZ Russland: Kohlenstoff im Permafrost - KoPf-Synthese : Kohlenstoffumsatz und Treibhaugasfreisetzung aus tauendem Permafrost Nordostsibiriens unter sich ändernden Umwelt- und Klimabedingungen : Verbundabschlussbericht : 01.06.2020-31.12.2021 (2022)
    Hamburg : Universität Hamburg, Institut für Bodenkunde, IfB, Centrum für Erdsystemforschung und Nachhaltigkeit, CEN
    Details Availability
    Keywords: Forschungsbericht ; Sibirien Nordost ; Kohlenstoffkreislauf ; Dauerfrostboden
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (85 Seiten, 5,04 MB) , Illustrationen, Diagramme
    URL: https://doi.org/10.2314/KXP:1850476292
    DOI: 10.2314/KXP:1850476292
    Language: German , English
    Note: Förderkennzeichen BMBF 03 F 0834 A-E , Verbundnummer: 01212002 , Literaturverzeichnis: Seite 14-16 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Kurzfassungen: Deutsch, Englisch
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  • 2
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    Annual dynamics of rapid permafrost disturbances in Northeast Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-19
    Description: Permafrost is warming globally which leads to widespread permafrost thaw. Particularly ice-rich permafrost is vulnerable to rapid thaw and erosion, impacting whole landscapes and ecosystems. Abrupt permafrost disturbances, such as retrogressive thaw slumps (RTS), expand by several meters each year and lead to an increased soil organic carbon release. We applied the disturbance detection algorithm LandTrendr for automated large-scale RTS mapping and high temporal thaw dynamic assessment to Northeast Siberia (8.1 × 10^6km^2). We adapted and parametrised the temporal segmentation algorithm for abrupt disturbance detection to incorporate Landsat+Sentinel-2 mosaics, conducted spectral filtering, spatial masking and filtering, and a binary machine-learning object classification of the disturbance output to separate between RTS and false positives (F1 score: 0.61). Ground truth data for calibration and validation of the workflow was collected from 9 known RTS cluster sites using very high-resolution RapidEye and PlanetScope imagery. The data set presents the results of the first automated detection and assessment of RTS and their temporal dynamics at large-scale for 2001–2019. We identified 50,895 RTS and a steady increase in RTS-affected area from 2001 to 2019 across Northeast Siberia, with a more abrupt increase from 2016 onward. Overall the RTS-affected area increased by 331% compared to 2000 (2000: 20,158 ha, 2001-2019: 66,699 ha). Contrary to this, focus sites show spatio-temporal variability in their annual RTS dynamics, with alternating periods of increased and decreased RTS development, indicating a close relationship to thaw drivers. The detected increase in RTS dynamics suggests advancing permafrost thaw and underlines the importance of assessing abrupt permafrost disturbances with high spatial and temporal resolution at large-scales. This consistenly obtained disturbance product will help to parametrise regional and global climate change models.
    Keywords: Area in hectare; Carbon in Permafrost / Kohlenstoff im Permafrost; CCI Permafrost; Description; ESA_CCI_Permafrost_CCN2; ESA Data User Element - GlobPermafrost; ESA-DUE-GlobPermafrost; Identification; KoPF; LAND; Landsat; LATITUDE; LONGITUDE; NE_Siberia; Number of pixels; Number of years; ORDINAL NUMBER; Permafrost; Permafrost area, retrogressive thaw slump affected; permafrost disturbance; permafrost thaw; Retrogressive Thaw Slumps; Sampling/measurement on land; Sentinel-2; Siberia; Time coverage; Time series
    Type: Dataset
    Format: text/tab-separated-values, 1373288 data points
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    DATA PANGAEA
  • 3
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    Vector dataset of manually mapped retrogressive thaw slumps from very high-resolution multispectral imagery in the Russian High Arctic between 2011 and 2020 (2023)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: We present a comprehensive inventory of retrogressive thaw slumps (RTS) for six study sites in the Russian High Arctic covering an area of more than 600 km². The sites are located on the Novaya Zemlya Archipelago, Kolguev Island, Bol'shoy Lyakhovsky Island, and Taymyr Peninsula in ice-rich permafrost characterized by either buried glacial ice or syngenetically formed Yedoma permafrost deposits. This data publication contains geospatial polygon vector files of the individual mapped slumps across multiple time slices. The mapping was performed on multispectral imagery of very high-resolution satellite sensors, including PlanetScope (3m ground resolution), RapidEye (5m), Pléiades (0.5m), and SPOT (1.5m). Cloud free images were acquired between 2011 and 2020 and exist for annual or close-to-annual time steps depending on their availability. Additional data sets such as the ArcticDEM, the Esri Satellite base map, and Tasseled Cap Landsat Trends were used to support the mapping process. The identification and digitization of thaw slumps as polygons (in UTM coordinate reference system) was performed in QGIS 10.3. A total number of 3466 individual RTS were mapped between 2011 or 2013 and 2020. In addition, for the coastal slumps, change distances from headwalls and bluff bases were calculated in ArcMap 10.5 using the Digital Shoreline Analysis System (DSAS) tool version 5 over the study period (2011/2013-2020). Very high-resolution imagery for this study was kindly provided by ESA through Third Party Mission proposal TPM4-ID-54054. We recieved access to the RapidEye imagery via the RapidEye Science Archive (RESA) initiative in the scope of our project 'Thaw Dynamics of Retrogressive Thaw Slumps from High Resolution Images in Siberia (RTStrendr )'. The PlanetScope imagery was recieved in the scope of our project ' Artificial Intelligence for Cold Regions (AI-CORE)'.
    Keywords: AWI_Perma; Climate change; DATE/TIME; Eastern Taymyr Peninsula; Event label; Geospatial vector, shapefiles; Geospatial vector, shapefiles (File Size); High Arctic; ice-rich Permafrost; landslide; LATITUDE; Location; LONGITUDE; mapping; Novaya Zemlya Archipelago; Permafrost; Permafrost coasts; Permafrost Research; permafrost thaw; Retrogressive Thaw Slumps; RTS_BL; RTS_ET; RTS_NK; RTS_NZ; RTS_SK; RTS_WT; Russia; Russian Arctic; Satellite imagery; SATI; Siberia; South Coast of Bol’shoy Lyakhovsky Island; thermokarst; West Coast of Kolguev Island; Western Taymyr Peninsula
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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    DATA PANGAEA
  • 4
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    Backpack LiDAR-based digital elevation models from the Perma-X expedition in West Alaska (2022) (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-29
    Description: During the Arctic Land Expedition Perma-X in West Alaska (2022-07-28 -- 2022-08-21), several LiDAR scans were acquired using a backpack laser scanning system (GreenValley LiBackpack DGC50). The surveys were carried out on the Baldwin Peninsula and on the Seward Peninsula. The goal of the campaign was to quantify permafrost landscape change by mapping various permafrost thaw features such as thaw slumps, gullies, and degraded ice wedge polygons. These features are predominantly less than 1 km2 in size. The 3D point cloud data from the LiDAR backpack were used to generate Digital Elevation Models (DEMs) of the thaw features. The point cloud processing workflow for these DEMs included point cloud georeferencing, filtering, and ground classification. In total, 15 DEMs were derived at different locations during this campaign. In addition to change detection, the accurate field data are suitable for model parameterization and validation from Earth observation data.
    Keywords: AK-Land_2022_NWAlaska; AK-Land_2022_NWAlaska_BAP22A_01; AK-Land_2022_NWAlaska_BAP22A_02; AK-Land_2022_NWAlaska_BAP22B_01; AK-Land_2022_NWAlaska_BAP22B_03; AK-Land_2022_NWAlaska_BAP22B_04; AK-Land_2022_NWAlaska_BAP22C_01; AK-Land_2022_NWAlaska_BAP22C_02; AK-Land_2022_NWAlaska_BAP22D_01; AK-Land_2022_NWAlaska_BAP22D_02; AK-Land_2022_NWAlaska_BAP22H_01; AK-Land_2022_NWAlaska_BAP22H_02; AK-Land_2022_NWAlaska_CSP22F_01; AK-Land_2022_NWAlaska_CSP22F_02; AK-Land_2022_NWAlaska_CSP22F_03; AK-Land_2022_NWAlaska_CSP22F_04; AWI Arctic Land Expedition; BAP22A; BAP22B; BAP22C; BAP22D; BAP22H; Coordinate reference system; CSP22F; Data type; DATE/TIME; DEM; Event label; Feature; Gear; Ice-wedge Polygons; Identification; LATITUDE; Latitude, northbound; Latitude, southbound; LONGITUDE; Longitude, eastbound; Longitude, westbound; permafrost thaw features; Perma-X; Perma-X Scan Alaska 2022; point clouds; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Resolution; Site; Terrestrial laser scanning (TLS); thaw slump; thermo-erosion gullies; Wearable LiDAR Scanning System, GreenValley, LiBackpack DGC50; West Alaska
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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    DATA PANGAEA
  • 5
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    Ground layer above-ground biomass of 25 sites central Lena Delta from 2018 - Raw data of dry weight for each sub-ground vegetation type sampling plot (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Description: Field investigations were performed in the central Lena Delta. In total, 25 sites were investigated. The sites were chosen to represent a variety of vegetation communities of the investigated region. 30 m² sample plots (sites) were demarcated in the most homogeneous locations. Heterogeneity was accommodated by roughly assorting vegetation into two to three vegetation types per sampling plot. Within each area of roughly estimated vegetation types we selected one 0.5 x 0.5 m subplot for representative ground-layer above-ground biomass (ABG) harvesting (major taxa and other). For moss and lichen AGB harvesting inside 0.5 x 0.5 m subplots representative 0.1 x 0.1 m subplots were chosen. All harvested AGB samples were weighed fresh in the field. In general, AGB samples with a weight of more than 15 g were subsampled. All samples were oven dried (60 °C, 24 h and weighed again). All ground-layer vegetation AGB assessments were calculated for the fifteen-meter radius plot in g/m² for each sample plot, see https://doi.pangaea.de/10.1594/PANGAEA.935923. All data was collected by scientists from Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research and University of Potsdam, Germany.
    Keywords: above ground biomass; Arctous alpina, biomass, dry mass; Area; AWI Arctic Land Expedition; Betula exilis, biomass, dry mass; Carbon in Permafrost / Kohlenstoff im Permafrost; central Lena Delta; Comarum palustre, biomass, dry mass; Comment; Date/Time of event; Dryas punctata, biomass, dry mass; Equisetum arvense, biomass, dry mass; Eriophorum spp., biomass, dry mass; Event label; Field observation; Identification; KoPF; Latitude of event; LD18VP001; LD18VP002; LD18VP003; LD18VP004; LD18VP005; LD18VP006; LD18VP007; LD18VP008; LD18VP009; LD18VP010; LD18VP011; LD18VP013; LD18VP014; LD18VP015; LD18VP016; LD18VP017; LD18VP018; LD18VP019; LD18VP020; LD18VP021; LD18VP022; LD18VP023; LD18VP025; LD18VP026; LD18VP027; Lena 2018; Lena Delta; Litter, aboveground, biomass, dry mass; Longitude of event; Moss and lichen, biomass, dry mass; Plants, other, biomass, dry mass; RU-Land_2018_Lena; Salix spp., biomass, dry mass; Sample area; Tofieldia coccinea, biomass, dry mass; Vaccinium vitis-idaea, biomass, dry mass; Vegetation, area; Vegetation, cover; Vegetation survey; VEGSUR
    Type: Dataset
    Format: text/tab-separated-values, 1511 data points
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    DATA PANGAEA
  • 6
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    Plot details for hyperspectral field measurements in the Lena Delta in 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Keywords: Air temperature at 2 m height; AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; Carbon in Permafrost / Kohlenstoff im Permafrost; DATE/TIME; ELEVATION; Event label; field spectrometry; hyperspectral; Identification; KoPF; KUR18-SP-003; KUR18-SP-004; KUR18-SP-005; KUR18-SP-006; KUR18-SP-007; KUR18-SP-008; KUR18-SP-009; KUR18-SP-010; KUR18-SP-011; KUR18-SP-012; KUR18-SP-013; KUR18-SP-014; KUR18-SP-015; KUR18-SP-016; KUR18-SP-017; KUR18-SP-022; KUR18-SP-023; KUR18-SP-024; KUR18-SP-025; KUR18-SP-026; KUR18-SP-027; KUR18-SP-028; Kurungnakh; LAND; LATITUDE; Lena 2018; Lena Delta; LONGITUDE; Number of observations; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; RU-Land_2018_Lena; SAM18-SP-001; SAM18-SP-002; SAM18-SP-018; SAM18-SP-019; SAM18-SP-020; SAM18-SP-021; Samoylov; Sampling/measurement on land; Site; spectral evolution; Vegetation
    Type: Dataset
    Format: text/tab-separated-values, 110 data points
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    DATA PANGAEA
  • 7
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    Anaerobic incubation measurements (CH4+CO2) from samples of Lena Delta collected in 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Description: The data sets were made during the summer 2021, with samples collected from three cores, at two depths (active and permafrost layers). In total, six samples (3 replicates by samples) were incubated for 67 days at two temperatures (4°C and 20°C). Core sampling were performed during the joint Russian-German LENA 2018 expedition. This data set compiles methane (CH4) and carbone dioxyde (CO2) fluxes throughout 67 days of incubation under anoxic conditions. Gas production were measured with a gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID), and productions were calculated per gram carbon and per gram soil according to the method of Robertson., et al. (1999). Glucose treatment was performed after 60 days of incubation until the end. During this time, gas fluxes were measured every day. The data set was collected at Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research and GeoForschungsZentrum Helmholtz-Zentrum, Potsdam, Germany.
    Keywords: Anaerobic incubation; AWI Arctic Land Expedition; Carbon, organic, total; Carbon, total; Carbon/Nitrogen ratio; Carbon dioxide, production rate, CO2-C per mass carbon; Carbon dioxide, production rate, CO2-C per mass soil; central Lena Delta; CH4; CO2; Comment; Country; Density, bulk, permafrost; Depth, bottom/max; Depth, description; DEPTH, sediment/rock; Depth, top/min; Ecosystem; Event label; Experimental treatment; Fixed volume cylinder (250 cm3); FluxWIN; Gas chromatograph (7890A, Agilent Technologies, USA) with flame ionization detection (FID); Incubation duration; Incubation temperature; KUR18-P15-YED-4; KUR18-P15-YED-7; KUR18-P16-SLO-3; KUR18-P16-SLO-7; KUR18-P17-FLO-2; KUR18-P17-FLO-7; Laboratory experiment; Lena 2018; Lena Delta; Measurement conducted; Methane, production rate, CH4-C per mass carbon; Methane, production rate, CH4-C per mass soil; methanogens; methanotrophs; Nitrogen, total; P15-A; P15-F; P16-A; P16-F; P17-A; P17-F; Permafrost; pH; qPCR; RU-Land_2018_Lena; SA; Sample code/label; Sample position; Sample type; SIPRE Auger; Site; Soil classification system; Soil type; State of permafrost; Thaw depth of active layer; The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems; Time, incubation; Vegetation, cover; Vegetation type; Water content, volumetric
    Type: Dataset
    Format: text/tab-separated-values, 13166 data points
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    DATA PANGAEA
  • 8
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    Microbe quantification during short term anaerobic incubation measurements (CH4+CO2) from samples of Lena Delta collected in 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Description: The data sets were made during the summer 2021, with samples collected from three cores, at two depths (active and permafrost layers). In total, six samples (3 replicates by samples) were incubated for 67 days at two temperatures (4°C and 20°C). Core sampling were performed during the joint Russian-German LENA 2018 expedition. This data set compiles microbial quantification (DNA extraction + qPCR) for methanotrophs and methanogenic archaea. Key genes coding for the enzyme methyl coenzyme-M reductase (mcrA) (Thauer 1998) and for the enzyme particulate methane monooxygenase (pmoA) (Theisen et Murrell 2005) were examined to identify methanogens and methanotrophs, respectively. Microbial quantification was monitored at 3 different times during the incubation. Samples were collected before the incubation, after 60 days of incubation and after glucose addition. Due to the pandemic, it has not been possible to perform microbial quantification for all the samples after the glucose treatment. DNA extractions were performed with a GeneMATRIX Soil DNA purification kit according to the manufacturer's protocol. Quantification of gene copy numbers was done with a SYBRGreen quantitative PCR (qPCR) assay using the KAPA SYBRFAST qPCR Master Mix (Sigma-Aldrich, Germany) on a CFX96 real-time thermal cycler (Bio-Rad Laboratories Inc., United States). The data was collected at Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research and GeoForschungsZentrum Helmholtz-Zentrum, Potsdam, Germany.
    Keywords: Anaerobic incubation; AWI Arctic Land Expedition; central Lena Delta; CH4; CO2; Country; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dilution factor; DNA concentration; Ecosystem; Event label; Experimental treatment; Fixed volume cylinder (250 cm3); FluxWIN; Incubation duration; Incubation temperature; KUR18-P15-YED-4; KUR18-P15-YED-7; KUR18-P16-SLO-3; KUR18-P16-SLO-7; KUR18-P17-FLO-2; KUR18-P17-FLO-7; Laboratory experiment; Latitude of event; Lena 2018; Lena Delta; Location of event; Longitude of event; Methane oxygenase, pmoA gene, abundance; methanogens; methanotrophs; Methyl coenzyme M reductase, mcrA gene, abundance; P15-A; P15-F; P16-A; P16-F; P17-A; P17-F; Permafrost; qPCR; Replicates; RU-Land_2018_Lena; SA; Sample code/label; Sample position; Sample type; SIPRE Auger; Site; Soil type; State of permafrost; SYBRGreen quantitative PCR (qPCR) assay using the KAPA SYBRFAST qPCR Master Mix (Sigma-Aldrich, Germany) on CFX96 real-time thermal cycler (Bio-Rad Laboratories Inc., United States); The role of non-growing season processes in the methane and nitrous oxide budgets in pristine northern ecosystems; Time, incubation; Vegetation type; Volume
    Type: Dataset
    Format: text/tab-separated-values, 617 data points
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    DATA PANGAEA
  • 9
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    Hyperspectral field measurements of plot SP-001 referenced with the Diffuse Reflectance Target of 50% reflectivity (grey reference) measurements taken at the beginning and end of the plot acquisition (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Keywords: AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; Carbon in Permafrost / Kohlenstoff im Permafrost; DATE/TIME; field spectrometry; hyperspectral; KoPF; Kurungnakh; LAND; Lena 2018; Lena Delta; Number of observations; ORDINAL NUMBER; Parameter; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; Reference sample; Reflectance; Region of interest; RU-Land_2018_Lena; SAM18-SP-001; Samoylov; Sampling/measurement on land; Site; spectral evolution; Target value; Vegetation; Wavelength
    Type: Dataset
    Format: text/tab-separated-values, 3799260 data points
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    DATA PANGAEA
  • 10
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    Hyperspectral field measurements of plot SP-002 referenced with the Diffuse Reflectance Target of 50% reflectivity (grey reference) measurements taken at the beginning and end of the plot acquisition (2022)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Keywords: AWI_Envi; AWI_Perma; AWI Arctic Land Expedition; Carbon in Permafrost / Kohlenstoff im Permafrost; DATE/TIME; field spectrometry; hyperspectral; KoPF; Kurungnakh; LAND; Lena 2018; Lena Delta; Number of observations; ORDINAL NUMBER; Parameter; Permafrost Research; Polar Terrestrial Environmental Systems @ AWI; Reference sample; Reflectance; Region of interest; RU-Land_2018_Lena; SAM18-SP-002; Samoylov; Sampling/measurement on land; Site; spectral evolution; Target value; Vegetation; Wavelength
    Type: Dataset
    Format: text/tab-separated-values, 3292692 data points
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    DATA PANGAEA
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