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  • 2020-2024  (19)
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Year
  • 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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    Eddy covariance carbon dioxide and methane fluxes from mined and recently rewetted sections in a NW German cutover bog (2020)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: With respect to their role in the global carbon cycle, natural peatlands are characterized by their ability to sequester atmospheric carbon. This trait is strongly connected to the water regime of these ecosystems. Large parts of the soil profile in natural peatlands are water-saturated, leading to anoxic conditions and to a diminished decomposition of plant litter. In functioning peatlands, the rate of carbon fixation by plant photosynthesis is larger than the decomposition rate of dead organic material. Over time, the amount of carbon that remains in the soil and is not converted back to carbon dioxide grows. Land use of peatlands often goes along with water level manipulations and thereby with alterations of carbon flux dynamics. In this study, carbon dioxide (CO2) and methane (CH4) flux measurements from a bog site in NW Germany that has been heavily degraded by peat mining are presented. Two contrasting types of management have been implemented at the site: (1) drainage during ongoing peat-harvesting on one half of the central bog area and (2) rewetting on the other half that had been taken out of use shortly before measurements commenced. The submitted two-year data set was collected with an eddy covariance (EC) system set up on a central railroad dam that divides the two halves of the (former) peat harvesting area. The data set contains the relative contributions of the surface classes "drained", "rewetted" and "vegetated" to the EC footprint.
    Keywords: Carbon dioxide, flux; cutover bog; DATE/TIME; EC; Eddy covariance; Eddy covariance footprint, contribution of surface class; Eddy covariance system; Germany, Schleswig-Holstein; Greenhouse gases; Himmelmoor_EC; land-use change; Methane, flux; Peatland; peat-mining
    Type: Dataset
    Format: text/tab-separated-values, 109231 data points
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  • 3
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    Carbon dioxide fluxes from treatment and control plots of a passive warming experiment at a cushion bog on Tierra del Fuego, Argentina (2021)
    PANGAEA
    Details
    Publication Date: 2023-08-22
    Description: We conducted our study in a cushion bog dominated by Astelia pumila on Tierra del Fuego, Argentina (54.972°S, 66.734°W). We experimentally investigated how a cushion bog plant community responded to elevated surface temperature conditions. We installed a year-round passive warming experiment using semicircular plastic walls that raised average near-surface air temperatures between 0.4°C and 0.7°C (at the three of ten treatment plots which were equipped with temperature sensors). We conducted chamber gas flux measurements to characterize differences in carbon dioxide exchange dynamics between the treatment and control plots.
    Keywords: Argentina; Calculated; CANDYbog; Carbon, water and nutrient dynamics in vascular plant- vs. Sphagnum-dominated bog ecosystems in southern Patagonia; Carbon dioxide, flux; Carbon dioxide, flux, standard error; CO2 flux; cushion bogs; DATE/TIME; Field estimated; Field experiment; passive warming experiment; Plot; PYRA; Pyranometer; Radiation, photosynthetically active; Radiation, photosynthetically active, standard deviation; Tierra_del_Fuego_cushion_bog; Tierra_del_Fuego_cushion_bog_l; Tierra del Fuego; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 1404 data points
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  • 4
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    Temperature measurements from treatment and control plots of a passive warming experiment at a cushion bog on Tierra del Fuego, Argentina (2021)
    PANGAEA
    Details
    Publication Date: 2023-08-22
    Description: We conducted our study in a cushion bog dominated by Astelia pumila on Tierra del Fuego, Argentina (54.972° S, 66.734° W). We experimentally investigated how a cushion bog plant community responded to elevated surface temperature conditions. We installed a year-round passive warming experiment using semicircular plastic walls that raised average near-surface air temperatures between 0.4°C and 0.7°C (at the three of ten treatment plots which were equipped with temperature sensors). We conducted chamber gas flux measurements to characterize differences in carbon dioxide exchange dynamics between the treatment and control plots.
    Keywords: Argentina; CANDYbog; Carbon, water and nutrient dynamics in vascular plant- vs. Sphagnum-dominated bog ecosystems in southern Patagonia; cushion bog; DATE/TIME; Field experiment; Temperature, air; Temperature, soil; Thermometer; Tierra_del_Fuego_cushion_bog; Tierra_del_Fuego_cushion_bog_ll; Tierra del Fuego; warming experiment
    Type: Dataset
    Format: text/tab-separated-values, 110124 data points
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  • 5
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    Chamber methane fluxes and active layer depths from a polygon in northeastern Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-11-16
    Description: This dataset contains in situ CH4 fluxes measured through the chamber technique over the growing season of 2015 (from July to September) at a wet polygon center and a dry polygon rim in Samoylov Island, Lena River Delta, Northeastern Siberia. A clipping experiment was conducted, resulting in vegetated plots with intact tundra vegetation and clipped and trenched plots where the vegetation was removed. Active layer depths are also presented.
    Keywords: 2015; Active layer depth; CLICCS; Clipping experiment; CliSAP; Cluster of Excellence: Climate, Climatic Change, and Society; DATE/TIME; Date/Time local; dry tundra; growing season; Integrated Climate System Analysis and Prediction; Lena-2015; Lena Delta; Lena River Delta; Methane, flux; Physical measurement; polygonal tundra; polygon center; polygon rim; Portable gas analyzer (UGGA 30-p; Los Gatos Research, USA); Samoylov Island; Site; summer; Treatment; UGGA 30-p; wet tundra
    Type: Dataset
    Format: text/tab-separated-values, 7560 data points
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  • 6
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    In situ CO2/CH4 production ratios from a polygon in northeastern Siberia (2022)
    PANGAEA
    Details
    Publication Date: 2023-11-16
    Description: This dataset contains in situ CH4 fluxes measured through the chamber technique over the growing season of 2015 (from July to September) at a wet polygon center and a dry polygon rim in Samoylov Island, Lena River Delta, Northeastern Siberia. A clipping experiment was conducted, resulting in vegetated plots with intact tundra vegetation and clipped and trenched plots where the vegetation was removed. The CO2:CH4 ratios were calculated from the CH4 fluxes of the vegetated plots and the CO2 fluxes of the clipped plots.
    Keywords: 2015; Carbon dioxide/Methane ratio; Carbon dioxide/Methane ratio, standard deviation; CLICCS; Clipping experiment; CliSAP; Cluster of Excellence: Climate, Climatic Change, and Society; DATE/TIME; dry tundra; growing season; Integrated Climate System Analysis and Prediction; Lena-2015; Lena Delta; Lena River Delta; polygonal tundra; polygon center; polygon rim; Samoylov Island; summer; wet tundra
    Type: Dataset
    Format: text/tab-separated-values, 176 data points
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    DATA PANGAEA
  • 7
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    Lateral and vertical carbon fluxes from the polygonal tundra in the Lena River Delta, Siberia (summer 2014) (2022)
    PANGAEA
    Details
    Publication Date: 2023-11-16
    Description: This dataset contains observations of water discharge rates and concentrations of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) from a polygonal tundra site in the Lena River Delta, Russia. This dataset also contains lateral carbon fluxes of DOC and DIC that were estimated from these observations. Additionally, this dataset contains vertical fluxes of carbon dioxide and methane from the same study site. All observations were recorded on Samoylov Island (N 72.377188, E 126.495144) in the summer of 2014. The abbreviations A1, A2 and B refer to three outflows on the island where the hydrological parameters were observed (A1: N 72.379991, E 126.480886; A2: N 72.380134, E 126.481433; B: N 72.381348, E 126.483482). All outflows were approximately 10 meters. More information can be found in https://doi.org/10.5194/bg-19-3863-2022.
    Keywords: AWI Arctic Land Expedition; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, flux; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, dissolved, standard deviation; Carbon dioxide, flux; Carbon dioxide, flux, standard deviation; Carbon in Permafrost / Kohlenstoff im Permafrost; CARBOPERM; CH4 flux; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; CO2 flux; DATE/TIME; Date/Time local; DIC; DIC flux; Discharge; DOC; DOC flux; Formation, turnover and release of carbon in Siberian permafrost landscapes; KoPF; Lena River Delta; Methane, flux; Methane, flux, standard deviation; Mini-Diver and RBC flume; Mini-Diver and V-notch weir; MULT; Multiple investigations; Multi-Sensor-Module MSM-S2, UIT Germany; polygon tundra; Quality flag, carbon dioxide, flux; Quality flag, methane, flux; Quality flag according to Mauder and Foken, 2004; RU-Land_2014_Lena; RU-Land_2014_Lena-Discharge; Samoylov Island, Lena Delta, Siberia; TOC analyzer (Shimadzu)
    Type: Dataset
    Format: text/tab-separated-values, 254196 data points
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    DATA PANGAEA
  • 8
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    Land cover and polygonal pond classification of the Holocene Terrace on Samoylov Island (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset contains two sub-datasets: 1) A land cover classification for the Holocene terrace on Samoylov island. The land cover classification is based on a high-resolution near-infrared (NIR) orthomosaic of Samoylov Island, Siberia from summer 2008 (Boike et al., 2012) as well as an existing land cover classification of part of the Holocene terrace by Muster et al. (2012). 2) A shapefile containing all waterbodies on the Holocene terrace on Samoylov island. Here, we applied minimum bounding geometry to each individual pond in order to calculate its compactness, i.e. the extent to which the ponds approximate a circular shape. The extended land cover classification was produced using ArcMap 10.8 (ESRI Inc., USA). As training data, we used a subset of the existing land cover classification by Muster et al. (2012), and applied a maximum likelihood algorithm to the near-infrared (NIR) orthomosaic of Samoylov island. The land cover classes are: wet tundra, dry tundra, open water, and overgrown water. For the water body classification, we applied a majority filter to the new classification and extracted all waterbodies, regardless of whether they were classified as open or overgrown water. After extraction, the minimum bounding distance of the smallest circle was calculated for each waterbody. In order to determine the compactness of each water body, the area of the smallest bounding circle was then divided by the area of the corresponding pond using the field calculator in ArcMap 10.8. Ponds which more closely resemble a circle have a lower measure of compactness. The pond classification was validated using the ponds classified by Rehder et al. (2020). In the data, we used the flag ‚1' for polygonal-center ponds, ‚2' signifies ice-wedge ponds and larger ponds made up of several submerged polygons (merged polygonal ponds) are indicated by the flag ‚3'. Waterbodies which do not fall into any of the three categories were excluded from the classification (‚-1').
    Keywords: Binary Object; Binary Object (File Size); CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; File content; Land cover classification; Lena River Delta; MULT; Multiple investigations; polygonal tundra; ponds; Samoylov_Island; Samoylov Island; Samoylov Island, Lena Delta, Siberia; thermokarst
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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    DATA PANGAEA
  • 9
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    Dissolved-gas concentrations, physical and chemical properties of 41 ponds as well as key meteorological parameters in the Lena River Delta, Siberia (2020)
    PANGAEA
    Details
    Publication Date: 2024-05-07
    Description: Ponds emit more methane per area than larger lakes. However, methane concentrations in and methane emissions from ponds show more spatial variability than larger waterbodies. A better understanding of this variability is needed to improve upscaling estimates of freshwater methane emissions. To this end, we studied 41 polygonal-tundra ponds on the islands Samoylov and Kurungakh in the Lena River Delta, northeast Siberia. The ponds fall into three geomorphological types with distinct differences in drivers of methane concentrations: polygonal-center ponds, ice-wedge ponds and larger merged-polygonal ponds. We collected water samples at different locations and depths in each pond and determined methane concentrations using gas chromatography. Additionally, we collected information on the geomorphology, vegetation cover as well as on key physical and chemical properties of the ponds and combined them with meteorological data to identify drivers of surface-water methane concentrations.
    Keywords: 3D-UA; 3D ultrasonic anemometer; Arctic peatlands; Area; AWI Arctic Land Expedition; Calculated based on geographical coordinates; Campbell Scientific NR-LITE2 Net Radiometer; Carbon, organic; Carbon dioxide, dissolved; CLICCS; Cluster of Excellence: Climate, Climatic Change, and Society; Date; DEPTH, water; Event label; Handheld GPS, Garmin; Headspace gas chromatography; Lake/Pond; LATITUDE; Lena 2019; Lena-2019_1; Lena-2019_10; Lena-2019_11; Lena-2019_12; Lena-2019_13; Lena-2019_14; Lena-2019_15; Lena-2019_16; Lena-2019_17; Lena-2019_19; Lena-2019_2; Lena-2019_20; Lena-2019_21; Lena-2019_22; Lena-2019_24; Lena-2019_25; Lena-2019_26; Lena-2019_27; Lena-2019_28; Lena-2019_29; Lena-2019_3; Lena-2019_30; Lena-2019_31; Lena-2019_32; Lena-2019_33; Lena-2019_34; Lena-2019_35; Lena-2019_36; Lena-2019_37; Lena-2019_38; Lena-2019_39; Lena-2019_4; Lena-2019_40; Lena-2019_41; Lena-2019_5; Lena-2019_61; Lena-2019_62; Lena-2019_7; Lena-2019_8; Lena-2019_9; Lena Delta; Lena River Delta; LONGITUDE; Metal rod; Methane; Methane, dissolved; Methane, standard deviation; Mini-Diver DI501, Schlumberger Water Services, NL; Moss, cover; Muffel furnace, 550 °C, LOI; MULT; Multimeter with CellOx325 sensor, WTW; Multiple investigations; Optional event label; Oxygen, dissolved; permafrost; Permafrost; Pond_1; Pond_10; Pond_11; Pond_12; Pond_13; Pond_14; Pond_15; Pond_16; Pond_17; Pond_19; Pond_2; Pond_20; Pond_21; Pond_22; Pond_24; Pond_25; Pond_26; Pond_27; Pond_28; Pond_29; Pond_3; Pond_30; Pond_31; Pond_32; Pond_33; Pond_34; Pond_35; Pond_36; Pond_37; Pond_38; Pond_39; Pond_4; Pond_40; Pond_41; Pond_5; Pond_61; Pond_62; Pond_7; Pond_8; Pond_9; ponds; RU-Land_2019_Lena; Short-wave radiation; Temperature, water; Thaw depth of active layer; Type; Vegetation, cover; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 820 data points
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  • 10
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    Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Metadata (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-08
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset contains metadata information about surface energy budget components measured at 64 tundra and glacier sites 〉60° N across the Arctic. This information was taken from the open-access repositories FLUXNET, Ameriflux, AON, GC-Net and PROMICE. The contained datasets are associated with the publication vegetation type as an important predictor of the Arctic Summer Land Surface Energy Budget by Oehri et al. 2022, and intended to support research of surface energy budgets and their relationship with environmental conditions, in particular vegetation characteristics across the terrestrial Arctic.
    Keywords: Aggregation type; Arctic; Arctic_SEB_CA-SCB; Arctic_SEB_CP1; Arctic_SEB_Dye-2; Arctic_SEB_EGP; Arctic_SEB_FI-Lom; Arctic_SEB_GL-NuF; Arctic_SEB_GL-ZaF; Arctic_SEB_GL-ZaH; Arctic_SEB_KAN_B; Arctic_SEB_KAN_L; Arctic_SEB_KAN_M; Arctic_SEB_KAN_U; Arctic_SEB_KPC_L; Arctic_SEB_KPC_U; Arctic_SEB_MIT; Arctic_SEB_NASA-E; Arctic_SEB_NASA-SE; Arctic_SEB_NASA-U; Arctic_SEB_NUK_K; Arctic_SEB_NUK_L; Arctic_SEB_NUK_N; Arctic_SEB_NUK_U; Arctic_SEB_QAS_A; Arctic_SEB_QAS_L; Arctic_SEB_QAS_M; Arctic_SEB_QAS_U; Arctic_SEB_RU-Che; Arctic_SEB_RU-Cok; Arctic_SEB_RU-Sam; Arctic_SEB_RU-Tks; Arctic_SEB_RU-Vrk; Arctic_SEB_Saddle; Arctic_SEB_SCO_L; Arctic_SEB_SCO_U; Arctic_SEB_SE-St1; Arctic_SEB_SJ-Adv; Arctic_SEB_SJ-Blv; Arctic_SEB_SouthDome; Arctic_SEB_Summit; Arctic_SEB_TAS_A; Arctic_SEB_TAS_L; Arctic_SEB_TAS_U; Arctic_SEB_THU_L; Arctic_SEB_THU_U; Arctic_SEB_Tunu-N; Arctic_SEB_UPE_L; Arctic_SEB_UPE_U; Arctic_SEB_US-A03; Arctic_SEB_US-A10; Arctic_SEB_US-An1; Arctic_SEB_US-An2; Arctic_SEB_US-An3; Arctic_SEB_US-Atq; Arctic_SEB_US-Brw; Arctic_SEB_US-EML; Arctic_SEB_US-HVa; Arctic_SEB_US-ICh; Arctic_SEB_US-ICs; Arctic_SEB_US-ICt; Arctic_SEB_US-Ivo; Arctic_SEB_US-NGB; Arctic_SEB_US-Upa; Arctic_SEB_US-xHE; Arctic_SEB_US-xTL; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; Author(s); Data source; Date/Time of event; Day of the year; Description; dry tundra; Eddy covariance; eddy heat flux; Event label; Field observation; First year of observation; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Institution; Instrument; Land-Atmosphere; Land-cover; Last year of observation; latent and sensible heat; latent heat flux; LATITUDE; Location ID; LONGITUDE; longwave radiation; meteorological data; Method comment; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; Sample height; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; Type of study; Unit; Variable; wetland
    Type: Dataset
    Format: text/tab-separated-values, 20562 data points
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