TY - GEN A1 - Nitze, Ingmar A1 - Grosse, Guido A1 - Jones, B. M. A1 - Romanovsky, Vladimir E. A1 - Boike, Julia T1 - Author Correction: Nitze, I; Grosse, G; Jones, B.M.; Romanovsky, V.E.; Boike, J.: Remote sensing quantifies widespread abundance of permafrost region disturbances across the Arctic and Subarctic. - Nature Communications. - 9 (2018), 5423 T2 - Nature Communications Y1 - 2019 U6 - https://doi.org/10.1038/s41467-019-08375-y SN - 2041-1723 VL - 10 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Treat, Claire C. A1 - Kleinen, Thomas A1 - Broothaerts, Nils A1 - Dalton, April S. A1 - Dommain, Rene A1 - Douglas, Thomas A. A1 - Drexler, Judith Z. A1 - Finkelstein, Sarah A. A1 - Grosse, Guido A1 - Hope, Geoffrey A1 - Hutchings, Jack A1 - Jones, Miriam C. A1 - Kuhry, Peter A1 - Lacourse, Terri A1 - Lahteenoja, Outi A1 - Loisel, Julie A1 - Notebaert, Bastiaan A1 - Payne, Richard J. A1 - Peteet, Dorothy M. A1 - Sannel, A. Britta K. A1 - Stelling, Jonathan M. A1 - Strauss, Jens A1 - Swindles, Graeme T. A1 - Talbot, Julie A1 - Tarnocai, Charles A1 - Verstraeten, Gert A1 - Williams, Christopher J. A1 - Xia, Zhengyu A1 - Yu, Zicheng A1 - Valiranta, Minna A1 - Hattestrand, Martina A1 - Alexanderson, Helena A1 - Brovkin, Victor T1 - Widespread global peatland establishment and persistence over the last 130,000 y JF - Proceedings of the National Academy of Sciences of the United States of America N2 - Glacial-interglacial variations in CO2 and methane in polar ice cores have been attributed, in part, to changes in global wetland extent, but the wetland distribution before the Last Glacial Maximum (LGM, 21 ka to 18 ka) remains virtually unknown. We present a study of global peatland extent and carbon (C) stocks through the last glacial cycle (130 ka to present) using a newly compiled database of 1,063 detailed stratigraphic records of peat deposits buried by mineral sediments, as well as a global peatland model. Quantitative agreement between modeling and observations shows extensive peat accumulation before the LGM in northern latitudes (> 40 degrees N), particularly during warmer periods including the last interglacial (130 ka to 116 ka, MIS 5e) and the interstadial (57 ka to 29 ka, MIS 3). During cooling periods of glacial advance and permafrost formation, the burial of northern peatlands by glaciers and mineral sediments decreased active peatland extent, thickness, and modeled C stocks by 70 to 90% from warmer times. Tropical peatland extent and C stocks show little temporal variation throughout the study period. While the increased burial of northern peats was correlated with cooling periods, the burial of tropical peat was predominately driven by changes in sea level and regional hydrology. Peat burial by mineral sediments represents a mechanism for long-term terrestrial C storage in the Earth system. These results show that northern peatlands accumulate significant C stocks during warmer times, indicating their potential for C sequestration during the warming Anthropocene. KW - peatlands KW - carbon KW - methane KW - carbon burial KW - Quaternary Y1 - 2019 U6 - https://doi.org/10.1073/pnas.1813305116 SN - 0027-8424 VL - 116 IS - 11 SP - 4822 EP - 4827 PB - National Acad. of Sciences CY - Washington ER - TY - JOUR A1 - Angelopoulos, Michael A1 - Westermann, Sebastian A1 - Overduin, Pier Paul A1 - Faguet, Alexey A1 - Olenchenko, Vladimir A1 - Grosse, Guido A1 - Grigoriev, Mikhail N. T1 - Heat and salt flow in subsea permafrost modeled with CryoGRID2 JF - Journal of geophysical research : Earth surface N2 - Thawing of subsea permafrost can impact offshore infrastructure, affect coastal erosion, and release permafrost organic matter. Thawing is usually modeled as the result of heat transfer, although salt diffusion may play an important role in marine settings. To better quantify nearshore subsea permafrost thawing, we applied the CryoGRID2 heat diffusion model and coupled it to a salt diffusion model. We simulated coastline retreat and subsea permafrost evolution as it develops through successive stages of a thawing sequence at the Bykovsky Peninsula, Siberia. Sensitivity analyses for seawater salinity were performed to compare the results for the Bykovsky Peninsula with those of typical Arctic seawater. For the Bykovsky Peninsula, the modeled ice-bearing permafrost table (IBPT) for ice-rich sand and an erosion rate of 0.25m/year was 16.7 m below the seabed 350m offshore. The model outputs were compared to the IBPT depth estimated from coastline retreat and electrical resistivity surveys perpendicular to and crossing the shoreline of the Bykovsky Peninsula. The interpreted geoelectric data suggest that the IBPT dipped to 15-20m below the seabed at 350m offshore. Both results suggest that cold saline water forms beneath grounded ice and floating sea ice in shallow water, causing cryotic benthic temperatures. The freezing point depression produced by salt diffusion can delay or prevent ice formation in the sediment and enhance the IBPT degradation rate. Therefore, salt diffusion may facilitate the release of greenhouse gasses to the atmosphere and considerably affect the design of offshore and coastal infrastructure in subsea permafrost areas. KW - subsea permafrost KW - salt diffusion KW - CryoGRID KW - Lena Delta KW - Bykovsky Peninsula KW - electrical resistivity Y1 - 2019 U6 - https://doi.org/10.1029/2018JF004823 SN - 2169-9003 SN - 2169-9011 VL - 124 IS - 4 SP - 920 EP - 937 PB - American Geophysical Union CY - Hoboken ER - TY - JOUR A1 - Fuchs, Matthias A1 - Lenz, Josefine A1 - Jock, Suzanne A1 - Nitze, Ingmar A1 - Jones, Benjamin M. A1 - Strauss, Jens A1 - Günther, Frank A1 - Grosse, Guido T1 - Organic carbon and nitrogen stocks along a thermokarst lake sequence in Arctic Alaska JF - Journal of geophysical research : Biogeosciences N2 - Thermokarst lake landscapes are permafrost regions, which are prone to rapid (on seasonal to decadal time scales) changes, affecting carbon and nitrogen cycles. However, there is a high degree of uncertainty related to the balance between carbon and nitrogen cycling and storage. We collected 12 permafrost soil cores from six drained thermokarst lake basins (DTLBs) along a chronosequence north of Teshekpuk Lake in northern Alaska and analyzed them for carbon and nitrogen contents. For comparison, we included three lacustrine cores from an adjacent thermokarst lake and one soil core from a non thermokarst affected remnant upland. This allowed to calculate the carbon and nitrogen stocks of the three primary landscape units (DTLB, lake, and upland), to reconstruct the landscape history, and to analyze the effect of thermokarst lake formation and drainage on carbon and nitrogen stocks. We show that carbon and nitrogen contents and the carbon-nitrogen ratio are considerably lower in sediments of extant lakes than in the DTLB or upland cores indicating degradation of carbon during thermokarst lake formation. However, we found similar amounts of total carbon and nitrogen stocks due to the higher density of lacustrine sediments caused by the lack of ground ice compared to DTLB sediments. In addition, the radiocarbon-based landscape chronology for the past 7,000years reveals five successive lake stages of partially, spatially overlapping DTLBs in the study region, reflecting the dynamic nature of ice-rich permafrost deposits. With this study, we highlight the importance to include these dynamic landscapes in future permafrost carbon feedback models. Plain Language Summary When permanently frozen soils (permafrost) contain ice-rich sediments, the thawing of this permafrost causes the surface to sink, which may result in lake formation. This process, the thaw of ice-rich permafrost and melting of ground ice leads to characteristic landforms-known as thermokarst. Once such a thaw process is initiated in ice-rich sediments, a thaw lake forms and grows by shoreline erosion, eventually expanding until a drainage pathway is encountered and the lake eventually drains, resulting in a drained thermokarst lake basin. In our study, we show that such a thermokarst-affected landscape north of Teshekpuk Lake in northern Alaska is shaped by repeated thaw lake formation and lake drainage events during the past 7,000years, highlighting the dynamic nature of these landscapes. These landscape-scale processes have a big effect on the carbon and nitrogen stored in permafrost soils. We show that large amounts of carbon (>45kg C/m(2)) and nitrogen (>2.6kg N/m(2)) are stored in unfrozen lake sediments and in frozen soil sediments. The findings are important when considering the potential effect that permafrost thaw has for the global climate through releasing carbon and nitrogen, which was frozen and therefore locked away for millennia, from the active carbon cycle. Y1 - 2019 U6 - https://doi.org/10.1029/2018JG004591 SN - 2169-8953 SN - 2169-8961 VL - 124 IS - 5 SP - 1230 EP - 1247 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Heslop, J. K. A1 - Anthony, K. M. Walter A1 - Grosse, Guido A1 - Liebner, Susanne A1 - Winkel, Matthias T1 - Century-scale time since permafrost thaw affects temperature sensitivity of net methane production in thermokarst-lake and talik sediments JF - The science of the total environment : an international journal for scientific research into the environment and its relationship with man N2 - Permafrost thaw subjects previously frozen soil organic carbon (SOC) to microbial degradation to the greenhouse gases carbon dioxide (CO2) and methane (CH4). Emission of these gases constitutes a positive feedback to climate warming. Among numerous uncertainties in estimating the strength of this permafrost carbon feedback (PCF), two are: (i) how mineralization of permafrost SOC thawed in saturated anaerobic conditions responds to changes in temperature and (ii) how microbial communities and temperature sensitivities change over time since thaw. To address these uncertainties, we utilized a thermokarst-lake sediment core as a natural chronosequence where SOC thawed and incubated in situ under saturated anaerobic conditions for up to 400 years following permafrost thaw. Initial microbial communities were characterized, and sediments were anaerobically incubated in the lab at four temperatures (0 °C, 3 °C, 10 °C, and 25 °C) bracketing those observed in the lake's talik. Net CH4 production in freshly-thawed sediments near the downward-expanding thaw boundary at the base of the talik were most sensitive to warming at the lower incubation temperatures (0 °C to 3 °C), while the overlying sediments which had been thawed for centuries had initial low abundant methanogenic communities (< 0.02%) and did not experience statistically significant increases in net CH4 production potentials until higher incubation temperatures (10 °C to 25 °C). We propose these observed differences in temperature sensitivities are due to differences in SOM quality and functional microbial community composition that evolve over time; however further research is necessary to better constrain the roles of these factors in determining temperature controls on anaerobic C mineralization. KW - Carbon KW - Lake sediments KW - Methane KW - Permafrost KW - Talik KW - Temperature sensitivity Y1 - 2019 U6 - https://doi.org/10.1016/j.scitotenv.2019.06.402 SN - 0048-9697 SN - 1879-1026 VL - 691 SP - 124 EP - 134 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Runge, Alexandra A1 - Grosse, Guido T1 - Comparing Spectral Characteristics of Landsat-8 and Sentinel-2 Same-Day Data for Arctic-Boreal Regions T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - The Arctic-Boreal regions experience strong changes of air temperature and precipitation regimes, which affect the thermal state of the permafrost. This results in widespread permafrost-thaw disturbances, some unfolding slowly and over long periods, others occurring rapidly and abruptly. Despite optical remote sensing offering a variety of techniques to assess and monitor landscape changes, a persistent cloud cover decreases the amount of usable images considerably. However, combining data from multiple platforms promises to increase the number of images drastically. We therefore assess the comparability of Landsat-8 and Sentinel-2 imagery and the possibility to use both Landsat and Sentinel-2 images together in time series analyses, achieving a temporally-dense data coverage in Arctic-Boreal regions. We determined overlapping same-day acquisitions of Landsat-8 and Sentinel-2 images for three representative study sites in Eastern Siberia. We then compared the Landsat-8 and Sentinel-2 pixel-pairs, downscaled to 60 m, of corresponding bands and derived the ordinary least squares regression for every band combination. The acquired coefficients were used for spectral bandpass adjustment between the two sensors. The spectral band comparisons showed an overall good fit between Landsat-8 and Sentinel-2 images already. The ordinary least squares regression analyses underline the generally good spectral fit with intercept values between 0.0031 and 0.056 and slope values between 0.531 and 0.877. A spectral comparison after spectral bandpass adjustment of Sentinel-2 values to Landsat-8 shows a nearly perfect alignment between the same-day images. The spectral band adjustment succeeds in adjusting Sentinel-2 spectral values to Landsat-8 very well in Eastern Siberian Arctic-Boreal landscapes. After spectral adjustment, Landsat and Sentinel-2 data can be used to create temporally-dense time series and be applied to assess permafrost landscape changes in Eastern Siberia. Remaining differences between the sensors can be attributed to several factors including heterogeneous terrain, poor cloud and cloud shadow masking, and mixed pixels. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 767 KW - spectral adjustment KW - northern high latitudes KW - permafrost KW - time series KW - optical data KW - surface reflectance KW - correlation KW - permafrost disturbances KW - land cover change Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-438660 SN - 1866-8372 IS - 767 ER - TY - JOUR A1 - Runge, Alexandra A1 - Grosse, Guido T1 - Comparing Spectral Characteristics of Landsat-8 and Sentinel-2 Same-Day Data for Arctic-Boreal Regions JF - Remote Sensing N2 - The Arctic-Boreal regions experience strong changes of air temperature and precipitation regimes, which affect the thermal state of the permafrost. This results in widespread permafrost-thaw disturbances, some unfolding slowly and over long periods, others occurring rapidly and abruptly. Despite optical remote sensing offering a variety of techniques to assess and monitor landscape changes, a persistent cloud cover decreases the amount of usable images considerably. However, combining data from multiple platforms promises to increase the number of images drastically. We therefore assess the comparability of Landsat-8 and Sentinel-2 imagery and the possibility to use both Landsat and Sentinel-2 images together in time series analyses, achieving a temporally-dense data coverage in Arctic-Boreal regions. We determined overlapping same-day acquisitions of Landsat-8 and Sentinel-2 images for three representative study sites in Eastern Siberia. We then compared the Landsat-8 and Sentinel-2 pixel-pairs, downscaled to 60 m, of corresponding bands and derived the ordinary least squares regression for every band combination. The acquired coefficients were used for spectral bandpass adjustment between the two sensors. The spectral band comparisons showed an overall good fit between Landsat-8 and Sentinel-2 images already. The ordinary least squares regression analyses underline the generally good spectral fit with intercept values between 0.0031 and 0.056 and slope values between 0.531 and 0.877. A spectral comparison after spectral bandpass adjustment of Sentinel-2 values to Landsat-8 shows a nearly perfect alignment between the same-day images. The spectral band adjustment succeeds in adjusting Sentinel-2 spectral values to Landsat-8 very well in Eastern Siberian Arctic-Boreal landscapes. After spectral adjustment, Landsat and Sentinel-2 data can be used to create temporally-dense time series and be applied to assess permafrost landscape changes in Eastern Siberia. Remaining differences between the sensors can be attributed to several factors including heterogeneous terrain, poor cloud and cloud shadow masking, and mixed pixels. KW - spectral adjustment KW - northern high latitudes KW - permafrost KW - time series KW - optical data KW - surface reflectance KW - correlation KW - permafrost disturbances KW - land cover change Y1 - 2019 U6 - https://doi.org/10.3390/rs11141730 SN - 2072-4292 VL - 11 PB - MDPI CY - Basel ER -