Articles | Volume 23, issue 8
https://doi.org/10.5194/bg-23-2761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-2761-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2026
Research article |
| 22 Apr 2026
| 22 Apr 2026
Spatial heterogeneity of soil organic matter and microbial community composition across ice-wedge polygons and soil layers in Arctic lowland tundra
Victoria Martin
CORRESPONDING AUTHOR
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
APRI, Austrian Polar Research Institute, Vienna, Austria
Doctoral School in Microbiology and Environmental Science, University of Vienna, Vienna, Austria
Cornelia Rottensteiner
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
APRI, Austrian Polar Research Institute, Vienna, Austria
Doctoral School in Microbiology and Environmental Science, University of Vienna, Vienna, Austria
Hannes Schmidt
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
Moritz Mohrlok
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
Doctoral School in Microbiology and Environmental Science, University of Vienna, Vienna, Austria
Julia Horak
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
Carolina Urbina-Malo
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
Julia Wagner
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Department of Ecology, Environment and Geoscience, Umeå University, Umeå, Sweden
Willeke A'Campo
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Luca Durstewitz
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Niek Jesse Speetjens
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
School of Environmental Science, University of Victoria, Victoria, Canada
Rachele Lodi
Institute of Polar Science, National Research Council, Venezia Mestre, Venice, Italy
Bela Hausmann
Joint Microbiome Facility of the Medical University of Vienna and the University of Vienna, Vienna, Austria
Department of Laboratory Medicine, Division of Clinical Microbiology, Medical University of Vienna, Vienna, Austria
Michael Fritz
Department of Permafrost Research, Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, AWI, Potsdam, Germany
Gustaf Hugelius
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Andreas Richter
Centre for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria
APRI, Austrian Polar Research Institute, Vienna, Austria
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Niek Jesse Speetjens, George Tanski, Victoria Martin, Julia Wagner, Andreas Richter, Gustaf Hugelius, Chris Boucher, Rachele Lodi, Christian Knoblauch, Boris P. Koch, Urban Wünsch, Hugues Lantuit, and Jorien E. Vonk
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Geosci. Model Dev., 15, 1289–1316, https://doi.org/10.5194/gmd-15-1289-2022, https://doi.org/10.5194/gmd-15-1289-2022, 2022
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The second phase of the Regional Carbon Cycle Assessment and Processes (RECCAP) will provide updated quantification and process understanding of CO2, CH4, and N2O emissions and sinks for ten regions of the globe. In this paper, we give definitions, review different methods, and make recommendations for estimating different components of the total land–atmosphere carbon exchange for each region in a consistent and complete approach.
Michael Fritz, Sebastian Wetterich, Joel McAlister, and Hanno Meyer
Earth Syst. Sci. Data, 14, 57–63, https://doi.org/10.5194/essd-14-57-2022, https://doi.org/10.5194/essd-14-57-2022, 2022
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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
Earth Syst. Sci. Data, 13, 5127–5149, https://doi.org/10.5194/essd-13-5127-2021, https://doi.org/10.5194/essd-13-5127-2021, 2021
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Federico Dallo, Daniele Zannoni, Jacopo Gabrieli, Paolo Cristofanelli, Francescopiero Calzolari, Fabrizio de Blasi, Andrea Spolaor, Dario Battistel, Rachele Lodi, Warren Raymond Lee Cairns, Ann Mari Fjæraa, Paolo Bonasoni, and Carlo Barbante
Atmos. Meas. Tech., 14, 6005–6021, https://doi.org/10.5194/amt-14-6005-2021, https://doi.org/10.5194/amt-14-6005-2021, 2021
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Our work showed how the adoption of low-cost technology could be useful in environmental research and monitoring. We focused our work on tropospheric ozone, but we also showed how to make a general purpose low-cost sensing system which may be adapted and optimised to be used in many other case studies. Given the importance of providing quality data, we put a lot of effort in the sensor's calibration, and we believe that our results show how to exploit the potential of the low-cost technology.
Lydia Stolpmann, Caroline Coch, Anne Morgenstern, Julia Boike, Michael Fritz, Ulrike Herzschuh, Kathleen Stoof-Leichsenring, Yury Dvornikov, Birgit Heim, Josefine Lenz, Amy Larsen, Katey Walter Anthony, Benjamin Jones, Karen Frey, and Guido Grosse
Biogeosciences, 18, 3917–3936, https://doi.org/10.5194/bg-18-3917-2021, https://doi.org/10.5194/bg-18-3917-2021, 2021
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Our new database summarizes DOC concentrations of 2167 water samples from 1833 lakes in permafrost regions across the Arctic to provide insights into linkages between DOC and environment. We found increasing lake DOC concentration with decreasing permafrost extent and higher DOC concentrations in boreal permafrost sites compared to tundra sites. Our study shows that DOC concentration depends on the environmental properties of a lake, especially permafrost extent, ecoregion, and vegetation.
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.
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Short summary
We asked how organic matter pools and microbial communities vary across polygon types and soil layers in Arctic lowland tundra. Low-center polygons had lower microbial abundance, enzyme potential, and organic matter bioavailability. Organic topsoils were microbial hotspots, but thaw may also rapidly mobilize carbon from upper permafrost. Patterns consistently followed gradients in organic matter and redox conditions, offering a practical framework for scaling landscape-scale soil carbon changes.
We asked how organic matter pools and microbial communities vary across polygon types and soil...
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