Articles | Volume 12, issue 5
https://doi.org/10.5194/tc-12-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-12-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Landform partitioning and estimates of deep storage of soil organic matter in Zackenberg, Greenland
Department of Physical Geography, Stockholm University, 106 91
Stockholm, Sweden
Stefanie Cable
Center for Permafrost (CENPERM), Department of Geosciences and
Natural Resource Management, University of Copenhagen, 1350 Copenhagen,
Denmark
Arctic Geology Department, The University Centre in Svalbard (UNIS),
9170 Longyearbyen, Norway
Hanne H. Christiansen
Center for Permafrost (CENPERM), Department of Geosciences and
Natural Resource Management, University of Copenhagen, 1350 Copenhagen,
Denmark
Arctic Geology Department, The University Centre in Svalbard (UNIS),
9170 Longyearbyen, Norway
Gustaf Hugelius
Department of Physical Geography, Stockholm University, 106 91
Stockholm, Sweden
Peter Kuhry
Department of Physical Geography, Stockholm University, 106 91
Stockholm, Sweden
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Climate change and warming in the Arctic exceed global averages. As a result, permanently frozen soils (permafrost) which store vast quantities of carbon in the form of dead plant material (organic matter) are thawing. Our study shows that as permafrost landscapes degrade, high concentrations of organic matter are released. Partly, this organic matter is degraded rapidly upon release, while another significant fraction enters stream networks and enters the Arctic Ocean.
Matthias Fuchs, Juri Palmtag, Bennet Juhls, Pier Paul Overduin, Guido Grosse, Ahmed Abdelwahab, Michael Bedington, Tina Sanders, Olga Ogneva, Irina V. Fedorova, Nikita S. Zimov, Paul J. Mann, and Jens Strauss
Earth Syst. Sci. Data, 14, 2279–2301, https://doi.org/10.5194/essd-14-2279-2022, https://doi.org/10.5194/essd-14-2279-2022, 2022
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We created digital, high-resolution bathymetry data sets for the Lena Delta and Kolyma Gulf regions in northeastern Siberia. Based on nautical charts, we digitized depth points and isobath lines, which serve as an input for a 50 m bathymetry model. The benefit of this data set is the accurate mapping of near-shore areas as well as the offshore continuation of the main deep river channels. This will improve the estimation of river outflow and the nutrient flux output into the coastal zone.
Charlotte Haugk, Loeka L. Jongejans, Kai Mangelsdorf, Matthias Fuchs, Olga Ogneva, Juri Palmtag, Gesine Mollenhauer, Paul J. Mann, P. Paul Overduin, Guido Grosse, Tina Sanders, Robyn E. Tuerena, Lutz Schirrmeister, Sebastian Wetterich, Alexander Kizyakov, Cornelia Karger, and Jens Strauss
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Earth Syst. Dynam., 13, 457–593, https://doi.org/10.5194/esd-13-457-2022, https://doi.org/10.5194/esd-13-457-2022, 2022
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Philippe Ciais, Ana Bastos, Frédéric Chevallier, Ronny Lauerwald, Ben Poulter, Josep G. Canadell, Gustaf Hugelius, Robert B. Jackson, Atul Jain, Matthew Jones, Masayuki Kondo, Ingrid T. Luijkx, Prabir K. Patra, Wouter Peters, Julia Pongratz, Ana Maria Roxana Petrescu, Shilong Piao, Chunjing Qiu, Celso Von Randow, Pierre Regnier, Marielle Saunois, Robert Scholes, Anatoly Shvidenko, Hanqin Tian, Hui Yang, Xuhui Wang, and Bo Zheng
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David Olefeldt, Mikael Hovemyr, McKenzie A. Kuhn, David Bastviken, Theodore J. Bohn, John Connolly, Patrick Crill, Eugénie S. Euskirchen, Sarah A. Finkelstein, Hélène Genet, Guido Grosse, Lorna I. Harris, Liam Heffernan, Manuel Helbig, Gustaf Hugelius, Ryan Hutchins, Sari Juutinen, Mark J. Lara, Avni Malhotra, Kristen Manies, A. David McGuire, Susan M. Natali, Jonathan A. O'Donnell, Frans-Jan W. Parmentier, Aleksi Räsänen, Christina Schädel, Oliver Sonnentag, Maria Strack, Suzanne E. Tank, Claire Treat, Ruth K. Varner, Tarmo Virtanen, Rebecca K. Warren, and Jennifer D. Watts
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Zhen Zhang, Etienne Fluet-Chouinard, Katherine Jensen, Kyle McDonald, Gustaf Hugelius, Thomas Gumbricht, Mark Carroll, Catherine Prigent, Annett Bartsch, and Benjamin Poulter
Earth Syst. Sci. Data, 13, 2001–2023, https://doi.org/10.5194/essd-13-2001-2021, https://doi.org/10.5194/essd-13-2001-2021, 2021
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The spatiotemporal distribution of wetlands is one of the important and yet uncertain factors determining the time and locations of methane fluxes. The Wetland Area and Dynamics for Methane Modeling (WAD2M) dataset describes the global data product used to quantify the areal dynamics of natural wetlands and how global wetlands are changing in response to climate.
Arthur Monhonval, Sophie Opfergelt, Elisabeth Mauclet, Benoît Pereira, Aubry Vandeuren, Guido Grosse, Lutz Schirrmeister, Matthias Fuchs, Peter Kuhry, and Jens Strauss
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-359, https://doi.org/10.5194/essd-2020-359, 2020
Preprint withdrawn
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With global warming, ice-rich permafrost soils expose organic carbon to microbial degradation and unlock mineral elements as well. Interactions between mineral elements and organic carbon may enhance or mitigate microbial degradation. Here, we provide a large scale ice-rich permafrost mineral concentrations assessment and estimates of mineral element stocks in those deposits. Si is the most abundant mineral element and Fe and Al are present in the same order of magnitude as organic carbon.
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Short summary
This study aims to improve the previous soil organic carbon and total nitrogen storage estimates for the Zackenberg area (NE Greenland) that were based on a land cover classification approach, by using geomorphological upscaling. The landform-based approach more correctly constrains the depositional areas in alluvial fans and deltas with high SOC and TN storage. This research emphasises the need to consider geomorphology when assessing SOC pools in mountain permafrost landscapes.
This study aims to improve the previous soil organic carbon and total nitrogen storage estimates...