Articles | Volume 23, issue 12
https://doi.org/10.5194/bg-23-4011-2026
© 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-23-4011-2026
© 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 Jun 2026
Research article |
| 22 Jun 2026
| 22 Jun 2026
Winter fluxes determine the annual carbon balance of an unmanaged subarctic drained peatland
Asra Salimi
CORRESPONDING AUTHOR
Faculty of Environmental and Agricultural Sciences, Agricultural University of Iceland, Hvanneyri, 311 Borgarnes, Iceland
Svarmi, Data Company Specialized in Remote Sensing and Drones, Hlíðasmári 8, 201 Kópavogur, Iceland
Bjarni D. Sigurdsson
Faculty of Environmental and Agricultural Sciences, Agricultural University of Iceland, Hvanneyri, 311 Borgarnes, Iceland
Brynhildur Bjarnadottir
Department of Education, University of Akureyri, 600 Akureyri, Iceland
Chenxin Feng
Faculty of Environmental and Agricultural Sciences, Agricultural University of Iceland, Hvanneyri, 311 Borgarnes, Iceland
Hlynur Óskarsson
Faculty of Environmental and Agricultural Sciences, Agricultural University of Iceland, Hvanneyri, 311 Borgarnes, Iceland
Ivan Mammarella
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, 00014 University of Helsinki, Helsinki, Finland
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Sparkle L. Malone, Jaclyn H. Matthes, Cove S. Sturtevant, Angel Chen, Roisin Commane, Kyle B. Delwiche, Ankur R. Desai, Christopher R. Florian, Jonathan D. Gewirtzman, Samuel A. Jurado, David E. Reed, Jinshu Chi, Hiroki Iwata, Erik J. Lundin, Ivan Mammarella, Matthias Peichl, Masahito Ueyama, and Camilo Rey-Sanchez
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-413, https://doi.org/10.5194/essd-2026-413, 2026
Preprint under review for ESSD
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We created the first continent-wide dataset to test the gradient flux method, which estimates how gases move between ecosystems and the atmosphere. This approach can provide reliable results when sensors are placed under favorable conditions, especially for shorter, less complex vegetation. The dataset will help improve future monitoring and support a better understanding of ecosystem responses to environmental change.
Sarah Schwieger, Jan Dietrich, Mats P. Björkman, Judith M. Sarneel, Bowen Li, Joel White, Inge H. J. Althuizen, Christina Biasi, Robert G. Björk, Hanna Böhner, Brage Bremset Hansen, Michele Carbognani, Giorgio Chiari, Casper T. Christiansen, Elisabeth J. Cooper, Hans Cornelissen, Ludovica D'Imperio, Ellen Dorrepaal, Bo Elberling, Patrick Faubert, Ned Fetcher, T'ai G. W. Forte, Joseph Gaudard, Konstantin Gavazov, Zhen-Huan Guan, Jón Guðmundsson, Siri V. Haugum, Jin-Sheng He, Caitlin Hicks Pries, Mark Hovenden, Simone I. Lang, Gus Jespersen, Ingibjörg S. Jónsdóttir, Ji Young Jung, Olga Khitun, Birgitte Kortegaard Danielsen, Richard Lamprecht, Mathilde Le Moullec, Hanna Lee, Maija E. Marushchak, Anders Michelsen, Tariq Munir, Eero Myrsky, Kevin K. Newsham, Marion Nyberg, Steven F. Oberbauer, Paulo Olivas, Johan Olofsson, Hlynur Óskarsson, Thomas C. Parker, Matteo Petit Bon, Alessandro Petraglia, Emily Pickering Pedersen, Katrine Raundrup, Nynne R. Ravn, Riikka Rinnan, Heidi Rodenhizer, Ingvild Ryde, Alejandro Salazar, Niels M. Schmidt, Ted Schuur, Sofie Sjögersten, Cecilie Skov Nielsen, Sari Stark, Maria Strack, Jianwu Tang, Sylvia Toet, Anne Tolvanen, Maria Väisänen, Richard Van Logtestijn, Vigdis Vandvik, Carolina Voigt, Josefine Walz, Jeffrey M. Welker, Yuanhe Yang, Henni Ylänne, and Sybryn L. Maes
Earth Syst. Sci. Data, 18, 4965–4982, https://doi.org/10.5194/essd-18-4965-2026, https://doi.org/10.5194/essd-18-4965-2026, 2026
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Arctic and alpine tundra ecosystems are warming rapidly, yet measurements of ecosystem CO₂ respiration remain limited. We compile in situ respiration measurements from warming experiments across 64 Arctic and alpine tundra sites. By integrating fluxes with climate, vegetation, and soil data, this database improves understanding and prediction of how tundra carbon cycling responds to climate warming and feeds back to the climate system.
Aki Vähä, Joachim Jansen, Kurt Spence, Joanna Norkko, Alf Norkko, and Ivan Mammarella
EGUsphere, https://doi.org/10.5194/egusphere-2026-3945, https://doi.org/10.5194/egusphere-2026-3945, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
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Coasts are globally identified as sinks of carbon. We found that a coastal site in northern Baltic Sea acted as a small source of carbon dioxide into the atmosphere during 2022–2024. There was a seasonal pattern of carbon dioxide exchange: a sink during spring, a variable sink and source during summer, and a source during autumn and winter. Our gap-filling model identified wind speed and sea salinity as the most important environmental co-variates of the carbon dioxide exchange.
Eyrún Gyða Gunnlaugsdóttir, Angelika Kübert, Xuefei Li, Timo Vesala, Aino Korrensalo, Elisa Männistö, Eeva-Stiina Tuittila, Pavel Alekseychik, and Ivan Mammarella
EGUsphere, https://doi.org/10.5194/egusphere-2026-3323, https://doi.org/10.5194/egusphere-2026-3323, 2026
This preprint is open for discussion and under review for Biogeosciences (BG).
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We studied how two nearby peatland types exchange carbon with the atmosphere using long-term field measurements. We found that the fen absorbed more carbon dioxide but also released more methane than the bog, mainly due to differences in vegetation rather than climate. This suggests that plant communities strongly influence how peatlands affect climate and should be considered in future predictions, especially under changing environmental conditions and ecosystem shifts.
Judith Vogt, Joonatan Ala-Könni, Clara Mendoza-Lera, Taija Saarela, Niko Kinnunen, Wasi Hashmi, Ivan Mammarella, Anne Ojala, Carlos Palacin-Lizarbe, Jukka Pumpanen, Janne Rinne, Huizhong Zhang-Turpeinen, and Mathias Göckede
EGUsphere, https://doi.org/10.5194/egusphere-2026-1260, https://doi.org/10.5194/egusphere-2026-1260, 2026
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To understand how northern rivers move carbon between land, water, and air, we measured greenhouse gases in Teno river. Using different methods on the water and the neighboring land, we found that this natural ecosystem released low levels of carbon. Mostly carbon dioxide was released to the air and the ocean, while methane was negligible. This study provides baseline data for healthy, northern rivers, helps address scientific biases, and can be used to improve the accuracy of climate models.
Üllar Rannik, Ivan Mammarella, Timo Vesala, Pirkko Väkimies, Hilkka Heiskari-Tuohiniemi, and Mika Korkiakoski
EGUsphere, https://doi.org/10.5194/egusphere-2026-144, https://doi.org/10.5194/egusphere-2026-144, 2026
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We present a case study where Vaisala company and the University of Helsinki joined their competencies to create an inexpensive yet precise fast-response carbon dioxide and water vapour sensor. A working prototype was developed and field-tested against a scientific eddy covariance setup. Attention was paid to internal auto-calibration procedure such that signal drifting was avoided and the instrument was capable of measuring fluxes with high correlation relative to the reference setup.
Asta Laasonen, Alexander Buzacott, Kukka-Maaria Kohonen, Erik Lundin, Alexander Meire, Mari Pihlatie, and Ivan Mammarella
Biogeosciences, 22, 7505–7518, https://doi.org/10.5194/bg-22-7505-2025, https://doi.org/10.5194/bg-22-7505-2025, 2025
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Carbon monoxide (CO) is an important indirect greenhouse gas, but its terrestrial sinks and sources are poorly understood. We present the first CO flux measurements using the eddy covariance method in an Arctic peatland. Our results show that CO fluxes are dominated by two processes: radiation-driven emissions and soil uptake. Dry peatland areas acted as CO sinks, while wetter areas were CO sources. Our findings suggest that current global models may underestimate Arctic CO emissions.
Anna-Maria Virkkala, Isabel Wargowsky, Judith Vogt, McKenzie A. Kuhn, Simran Madaan, Richard O'Keefe, Tiffany Windholz, Kyle A. Arndt, Brendan M. Rogers, Jennifer D. Watts, Kelcy Kent, Mathias Göckede, David Olefeldt, Gerard Rocher-Ros, Edward A. G. Schuur, David Bastviken, Kristoffer Aalstad, Kelly Aho, Joonatan Ala-Könni, Haley Alcock, Inge Althuizen, Christopher D. Arp, Jun Asanuma, Katrin Attermeyer, Mika Aurela, Sivakiruthika Balathandayuthabani, Alan Barr, Maialen Barret, Ochirbat Batkhishig, Christina Biasi, Mats P. Björkman, Andrew Black, Elena Blanc-Betes, Pascal Bodmer, Julia Boike, Abdullah Bolek, Frédéric Bouchard, Ingeborg Bussmann, Lea Cabrol, Eleonora Canfora, Sean Carey, Karel Castro-Morales, Namyi Chae, Andres Christen, Torben R. Christensen, Casper T. Christiansen, Housen Chu, Graham Clark, Francois Clayer, Patrick Crill, Christopher Cunada, Scott J. Davidson, Joshua F. Dean, Sigrid Dengel, Matteo Detto, Catherine Dieleman, Florent Domine, Egor Dyukarev, Colin Edgar, Bo Elberling, Craig A. Emmerton, Eugenie Euskirchen, Grant Falvo, Thomas Friborg, Michelle Garneau, Mariasilvia Giamberini, Mikhail V. Glagolev, Miquel A. Gonzalez-Meler, Gustaf Granath, Jón Guðmundsson, Konsta Happonen, Yoshinobu Harazono, Lorna Harris, Josh Hashemi, Nicholas Hasson, Janna Heerah, Liam Heffernan, Manuel Helbig, Warren Helgason, Michal Heliasz, Greg Henry, Geert Hensgens, Tetsuya Hiyama, Macall Hock, David Holl, Beth Holmes, Jutta Holst, Thomas Holst, Gabriel Hould-Gosselin, Elyn Humphreys, Jacqueline Hung, Jussi Huotari, Hiroki Ikawa, Danil V. Ilyasov, Mamoru Ishikawa, Go Iwahana, Hiroki Iwata, Marcin Antoni Jackowicz-Korczynski, Joachim Jansen, Järvi Järveoja, Vincent E. J. Jassey, Rasmus Jensen, Katharina Jentzsch, Robert G. Jespersen, Carl-Fredrik Johannesson, Chersity P. Jones, Anders Jonsson, Ji Young Jung, Sari Juutinen, Evan Kane, Jan Karlsson, Sergey Karsanaev, Kuno Kasak, Julia Kelly, Kasha Kempton, Marcus Klaus, George W. Kling, Natacha Kljun, Jacqueline Knutson, Hideki Kobayashi, John Kochendorfer, Kukka-Maaria Kohonen, Pasi Kolari, Mika Korkiakoski, Aino Korrensalo, Pirkko Kortelainen, Egle Koster, Kajar Koster, Ayumi Kotani, Praveena Krishnan, Juliya Kurbatova, Lars Kutzbach, Min Jung Kwon, Ethan D. Kyzivat, Jessica Lagroix, Theodore Langhorst, Elena Lapshina, Tuula Larmola, Klaus S. Larsen, Isabelle Laurion, Justin Ledman, Hanna Lee, A. Joshua Leffler, Lance Lesack, Anders Lindroth, David Lipson, Annalea Lohila, Efrén López-Blanco, Vincent L. St. Louis, Erik Lundin, Misha Luoto, Takashi Machimura, Marta Magnani, Avni Malhotra, Marja Maljanen, Ivan Mammarella, Elisa Männistö, Luca Belelli Marchesini, Phil Marsh, Pertti J. Martkainen, Maija E. Marushchak, Mikhail Mastepanov, Alex Mavrovic, Trofim Maximov, Christina Minions, Marco Montemayor, Tomoaki Morishita, Patrick Murphy, Daniel F. Nadeau, Erin Nicholls, Mats B. Nilsson, Anastasia Niyazova, Jenni Nordén, Koffi Dodji Noumonvi, Hannu Nykanen, Walter Oechel, Anne Ojala, Tomohiro Okadera, Sujan Pal, Alexey V. Panov, Tim Papakyriakou, Dario Papale, Sang-Jong Park, Frans-Jan W. Parmentier, Gilberto Pastorello, Mike Peacock, Matthias Peichl, Roman Petrov, Kyra St. Pierre, Norbert Pirk, Jessica Plein, Vilmantas Preskienis, Anatoly Prokushkin, Jukka Pumpanen, Hilary A. Rains, Niklas Rakos, Aleski Räsänen, Helena Rautakoski, Riika Rinnan, Janne Rinne, Adrian Rocha, Nigel Roulet, Alexandre Roy, Anna Rutgersson, Aleksandr F. Sabrekov, Torsten Sachs, Erik Sahlée, Alejandro Salazar, Henrique Oliveira Sawakuchi, Christopher Schulze, Roger Seco, Armando Sepulveda-Jauregui, Svetlana Serikova, Abbey Serrone, Hanna M. Silvennoinen, Sofie Sjogersten, June Skeeter, Jo Snöälv, Sebastian Sobek, Oliver Sonnentag, Emily H. Stanley, Maria Strack, Lena Strom, Patrick Sullivan, Ryan Sullivan, Anna Sytiuk, Torbern Tagesson, Pierre Taillardat, Julie Talbot, Suzanne E. Tank, Mario Tenuta, Irina Terenteva, Frederic Thalasso, Antoine Thiboult, Halldor Thorgeirsson, Fenix Garcia Tigreros, Margaret Torn, Amy Townsend-Small, Claire Treat, Alain Tremblay, Carlo Trotta, Eeva-Stiina Tuittila, Merritt Turetsky, Masahito Ueyama, Muhammad Umair, Aki Vähä, Lona van Delden, Maarten van Hardenbroek, Andrej Varlagin, Ruth K. Varner, Elena Veretennikova, Timo Vesala, Tarmo Virtanen, Carolina Voigt, Jorien E. Vonk, Robert Wagner, Katey Walter Anthony, Qinxue Wang, Masataka Watanabe, Hailey Webb, Jeffrey M. Welker, Andreas Westergaard-Nielsen, Sebastian Westermann, Jeffrey R. White, Christian Wille, Scott N. Williamson, Scott Zolkos, Donatella Zona, and Susan M. Natali
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-585, https://doi.org/10.5194/essd-2025-585, 2025
Revised manuscript accepted for ESSD
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This dataset includes monthly measurements of carbon dioxide and methane exchange between land, water, and the atmosphere from over 1,000 sites in Arctic and boreal regions. It combines measurements from a variety of ecosystems, including wetlands, forests, tundra, lakes, and rivers, gathered by over 260 researchers from 1984–2024. This dataset can be used to improve and reduce uncertainty in carbon budgets in order to strengthen our understanding of climate feedbacks in a warming world.
José Ángel Callejas-Rodelas, Alexander Knohl, Ivan Mammarella, Timo Vesala, Olli Peltola, and Christian Markwitz
Biogeosciences, 22, 4507–4529, https://doi.org/10.5194/bg-22-4507-2025, https://doi.org/10.5194/bg-22-4507-2025, 2025
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The spatial variability of CO2 and water vapour exchanges with the atmosphere was quantified above an agroforestry system and further compared to a monocropping system using a total of four eddy covariance stations. The variability of fluxes within the agroforestry site was found to be as large as the variability between agroforestry and monocropping site, induced by the heterogeneity of the site, which highlights the need for replicated measurements above such ecosystems.
Anam M. Khan, Olivia E. Clifton, Jesse O. Bash, Sam Bland, Nathan Booth, Philip Cheung, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christian Hogrefe, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Donna Schwede, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, Leiming Zhang, and Paul C. Stoy
Atmos. Chem. Phys., 25, 8613–8635, https://doi.org/10.5194/acp-25-8613-2025, https://doi.org/10.5194/acp-25-8613-2025, 2025
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Vegetation removes tropospheric ozone through stomatal uptake, and accurately modeling the stomatal uptake of ozone is important for modeling dry deposition and air quality. We evaluated the stomatal component of ozone dry deposition modeled by atmospheric chemistry models at six sites. We find that models and observation-based estimates agree at times during the growing season at all sites, but some models overestimated the stomatal component during the dry summers at a seasonally dry site.
Piaopiao Ke, Anna Lintunen, Pasi Kolari, Annalea Lohila, Santeri Tuovinen, Janne Lampilahti, Roseline Thakur, Maija Peltola, Otso Peräkylä, Tuomo Nieminen, Ekaterina Ezhova, Mari Pihlatie, Asta Laasonen, Markku Koskinen, Helena Rautakoski, Laura Heimsch, Tom Kokkonen, Aki Vähä, Ivan Mammarella, Steffen Noe, Jaana Bäck, Veli-Matti Kerminen, and Markku Kulmala
Biogeosciences, 22, 3235–3251, https://doi.org/10.5194/bg-22-3235-2025, https://doi.org/10.5194/bg-22-3235-2025, 2025
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Our research explores diverse ecosystems’ roles in climate cooling via the concept of CarbonSink+ potential. We measured CO2 uptake and local aerosol production in forests, farms, peatlands, urban gardens, and coastal areas across Finland and Estonia. The long-term data reveal that, while forests are vital with regard to CarbonSink+ potential, farms and urban gardens also play significant roles. These insights can help optimize management policy of natural resources to mitigate global warming.
Aki Vähä, Timo Vesala, Sofya Guseva, Anders Lindroth, Andreas Lorke, Sally MacIntyre, and Ivan Mammarella
Biogeosciences, 22, 1651–1671, https://doi.org/10.5194/bg-22-1651-2025, https://doi.org/10.5194/bg-22-1651-2025, 2025
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Boreal rivers are significant sources of carbon dioxide (CO2) and methane (CH4) for the atmosphere, but the controls of these emissions are uncertain. We measured 4 months of CO2 and CH4 exchanges between a regulated boreal river and the atmosphere with eddy covariance. We found statistical relationships between the gas exchange and several environmental variables, the most important of which were dissolved CO2 partial pressure in water, wind speed and water temperature.
Ekaterina Ezhova, Topi Laanti, Anna Lintunen, Pasi Kolari, Tuomo Nieminen, Ivan Mammarella, Keijo Heljanko, and Markku Kulmala
Biogeosciences, 22, 257–288, https://doi.org/10.5194/bg-22-257-2025, https://doi.org/10.5194/bg-22-257-2025, 2025
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Machine learning (ML) models are gaining popularity in biogeosciences. They are applied as gap-filling methods and used to upscale carbon fluxes to larger areas. Here we use explainable artificial intelligence (XAI) methods to elucidate the performance of machine learning models for carbon dioxide fluxes in boreal forests. We show that statistically equal models treat input variables differently. XAI methods can help scientists make informed decisions when applying ML models in their research.
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Jiří Dušek, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo A. Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Mana Gharun, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, https://doi.org/10.5194/bg-21-5079-2024, 2024
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The movement of water, carbon, and energy from the Earth's surface to the atmosphere, or flux, is an important process to understand because it impacts our lives. Here, we outline a method called FLUXCOM-X to estimate global water and CO2 fluxes based on direct measurements from sites around the world. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Kim A. P. Faassen, Jordi Vilà-Guerau de Arellano, Raquel González-Armas, Bert G. Heusinkveld, Ivan Mammarella, Wouter Peters, and Ingrid T. Luijkx
Biogeosciences, 21, 3015–3039, https://doi.org/10.5194/bg-21-3015-2024, https://doi.org/10.5194/bg-21-3015-2024, 2024
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The ratio between atmospheric O2 and CO2 can be used to characterize the carbon balance at the surface. By combining a model and observations from the Hyytiälä forest (Finland), we show that using atmospheric O2 and CO2 measurements from a single height provides a weak constraint on the surface CO2 exchange because large-scale processes such as entrainment confound this signal. We therefore recommend always using multiple heights of O2 and CO2 measurements to study surface CO2 exchange.
Jyrki Jauhiainen, Juha Heikkinen, Nicholas Clarke, Hongxing He, Lise Dalsgaard, Kari Minkkinen, Paavo Ojanen, Lars Vesterdal, Jukka Alm, Aldis Butlers, Ingeborg Callesen, Sabine Jordan, Annalea Lohila, Ülo Mander, Hlynur Óskarsson, Bjarni D. Sigurdsson, Gunnhild Søgaard, Kaido Soosaar, Åsa Kasimir, Brynhildur Bjarnadottir, Andis Lazdins, and Raija Laiho
Biogeosciences, 20, 4819–4839, https://doi.org/10.5194/bg-20-4819-2023, https://doi.org/10.5194/bg-20-4819-2023, 2023
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The study looked at published data on drained organic forest soils in boreal and temperate zones to revisit current Tier 1 default emission factors (EFs) provided by the IPCC Wetlands Supplement. We examined the possibilities of forming more site-type specific EFs and inspected the potential relevance of environmental variables for predicting annual soil greenhouse gas balances by statistical models. The results have important implications for EF revisions and national emission reporting.
Olivia E. Clifton, Donna Schwede, Christian Hogrefe, Jesse O. Bash, Sam Bland, Philip Cheung, Mhairi Coyle, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, and Leiming Zhang
Atmos. Chem. Phys., 23, 9911–9961, https://doi.org/10.5194/acp-23-9911-2023, https://doi.org/10.5194/acp-23-9911-2023, 2023
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A primary sink of air pollutants is dry deposition. Dry deposition estimates differ across the models used to simulate atmospheric chemistry. Here, we introduce an effort to examine dry deposition schemes from atmospheric chemistry models. We provide our approach’s rationale, document the schemes, and describe datasets used to drive and evaluate the schemes. We also launch the analysis of results by evaluating against observations and identifying the processes leading to model–model differences.
Alessandro Zanchetta, Linda M. J. Kooijmans, Steven van Heuven, Andrea Scifo, Hubertus A. Scheeren, Ivan Mammarella, Ute Karstens, Jin Ma, Maarten Krol, and Huilin Chen
Biogeosciences, 20, 3539–3553, https://doi.org/10.5194/bg-20-3539-2023, https://doi.org/10.5194/bg-20-3539-2023, 2023
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Carbonyl sulfide (COS) has been suggested as a tool to estimate carbon dioxide (CO2) uptake by plants during photosynthesis. However, understanding its sources and sinks is critical to preventing biases in this estimate. Combining observations and models, this study proves that regional sources occasionally influence the measurements at the 60 m tall Lutjewad tower (1 m a.s.l.; 53°24′ N, 6°21′ E) in the Netherlands. Moreover, it estimates nighttime COS fluxes to be −3.0 ± 2.6 pmol m−2 s−1.
Matti Kämäräinen, Juha-Pekka Tuovinen, Markku Kulmala, Ivan Mammarella, Juha Aalto, Henriikka Vekuri, Annalea Lohila, and Anna Lintunen
Biogeosciences, 20, 897–909, https://doi.org/10.5194/bg-20-897-2023, https://doi.org/10.5194/bg-20-897-2023, 2023
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In this study, we introduce a new method for modeling the exchange of carbon between the atmosphere and a study site located in a boreal forest in southern Finland. Our method yields more accurate results than previous approaches in this context. Accurately estimating carbon exchange is crucial for gaining a better understanding of the role of forests in regulating atmospheric carbon and addressing climate change.
Kim A. P. Faassen, Linh N. T. Nguyen, Eadin R. Broekema, Bert A. M. Kers, Ivan Mammarella, Timo Vesala, Penelope A. Pickers, Andrew C. Manning, Jordi Vilà-Guerau de Arellano, Harro A. J. Meijer, Wouter Peters, and Ingrid T. Luijkx
Atmos. Chem. Phys., 23, 851–876, https://doi.org/10.5194/acp-23-851-2023, https://doi.org/10.5194/acp-23-851-2023, 2023
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The exchange ratio (ER) between atmospheric O2 and CO2 provides a useful tracer for separately estimating photosynthesis and respiration processes in the forest carbon balance. This is highly relevant to better understand the expected biosphere sink, which determines future atmospheric CO2 levels. We therefore measured O2, CO2, and their ER above a boreal forest in Finland and investigated their diurnal behaviour for a representative day, and we show the most suitable way to determine the ER.
Kukka-Maaria Kohonen, Roderick Dewar, Gianluca Tramontana, Aleksanteri Mauranen, Pasi Kolari, Linda M. J. Kooijmans, Dario Papale, Timo Vesala, and Ivan Mammarella
Biogeosciences, 19, 4067–4088, https://doi.org/10.5194/bg-19-4067-2022, https://doi.org/10.5194/bg-19-4067-2022, 2022
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Four different methods for quantifying photosynthesis (GPP) at ecosystem scale were tested, of which two are based on carbon dioxide (CO2) and two on carbonyl sulfide (COS) flux measurements. CO2-based methods are traditional partitioning, and a new method uses machine learning. We introduce a novel method for calculating GPP from COS fluxes, with potentially better applicability than the former methods. Both COS-based methods gave on average higher GPP estimates than the CO2-based estimates.
Niel Verbrigghe, Niki I. W. Leblans, Bjarni D. Sigurdsson, Sara Vicca, Chao Fang, Lucia Fuchslueger, Jennifer L. Soong, James T. Weedon, Christopher Poeplau, Cristina Ariza-Carricondo, Michael Bahn, Bertrand Guenet, Per Gundersen, Gunnhildur E. Gunnarsdóttir, Thomas Kätterer, Zhanfeng Liu, Marja Maljanen, Sara Marañón-Jiménez, Kathiravan Meeran, Edda S. Oddsdóttir, Ivika Ostonen, Josep Peñuelas, Andreas Richter, Jordi Sardans, Páll Sigurðsson, Margaret S. Torn, Peter M. Van Bodegom, Erik Verbruggen, Tom W. N. Walker, Håkan Wallander, and Ivan A. Janssens
Biogeosciences, 19, 3381–3393, https://doi.org/10.5194/bg-19-3381-2022, https://doi.org/10.5194/bg-19-3381-2022, 2022
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In subarctic grassland on a geothermal warming gradient, we found large reductions in topsoil carbon stocks, with carbon stocks linearly declining with warming intensity. Most importantly, however, we observed that soil carbon stocks stabilised within 5 years of warming and remained unaffected by warming thereafter, even after > 50 years of warming. Moreover, in contrast to the large topsoil carbon losses, subsoil carbon stocks remained unaffected after > 50 years of soil warming.
Joonatan Ala-Könni, Kukka-Maaria Kohonen, Matti Leppäranta, and Ivan Mammarella
Geosci. Model Dev., 15, 4739–4755, https://doi.org/10.5194/gmd-15-4739-2022, https://doi.org/10.5194/gmd-15-4739-2022, 2022
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Properties of seasonally ice-covered lakes are not currently sufficiently included in global climate models. To fill this gap, this study evaluates three models that could be used to quantify the amount of heat that moves from and into the lake by the air above it and through evaporation of the ice cover. The results show that the complex nature of the surrounding environment as well as difficulties in accurately measuring the surface temperature of ice introduce errors to these models.
Malgorzata Golub, Wim Thiery, Rafael Marcé, Don Pierson, Inne Vanderkelen, Daniel Mercado-Bettin, R. Iestyn Woolway, Luke Grant, Eleanor Jennings, Benjamin M. Kraemer, Jacob Schewe, Fang Zhao, Katja Frieler, Matthias Mengel, Vasiliy Y. Bogomolov, Damien Bouffard, Marianne Côté, Raoul-Marie Couture, Andrey V. Debolskiy, Bram Droppers, Gideon Gal, Mingyang Guo, Annette B. G. Janssen, Georgiy Kirillin, Robert Ladwig, Madeline Magee, Tadhg Moore, Marjorie Perroud, Sebastiano Piccolroaz, Love Raaman Vinnaa, Martin Schmid, Tom Shatwell, Victor M. Stepanenko, Zeli Tan, Bronwyn Woodward, Huaxia Yao, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Karen Atkins, Leon Boegman, Cayelan Carey, Kyle Christianson, Elvira de Eyto, Curtis DeGasperi, Maria Grechushnikova, Josef Hejzlar, Klaus Joehnk, Ian D. Jones, Alo Laas, Eleanor B. Mackay, Ivan Mammarella, Hampus Markensten, Chris McBride, Deniz Özkundakci, Miguel Potes, Karsten Rinke, Dale Robertson, James A. Rusak, Rui Salgado, Leon van der Linden, Piet Verburg, Danielle Wain, Nicole K. Ward, Sabine Wollrab, and Galina Zdorovennova
Geosci. Model Dev., 15, 4597–4623, https://doi.org/10.5194/gmd-15-4597-2022, https://doi.org/10.5194/gmd-15-4597-2022, 2022
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Lakes and reservoirs are warming across the globe. To better understand how lakes are changing and to project their future behavior amidst various sources of uncertainty, simulations with a range of lake models are required. This in turn requires international coordination across different lake modelling teams worldwide. Here we present a protocol for and results from coordinated simulations of climate change impacts on lakes worldwide.
Jarmo Mäkelä, Laila Melkas, Ivan Mammarella, Tuomo Nieminen, Suyog Chandramouli, Rafael Savvides, and Kai Puolamäki
Biogeosciences, 19, 2095–2099, https://doi.org/10.5194/bg-19-2095-2022, https://doi.org/10.5194/bg-19-2095-2022, 2022
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Causal structure discovery algorithms have been making headway into Earth system sciences, and they can be used to increase our understanding on biosphere–atmosphere interactions. In this paper we present a procedure on how to utilize prior knowledge of the domain experts together with these algorithms in order to find more robust causal structure models. We also demonstrate how to avoid pitfalls such as over-fitting and concept drift during this process.
Hanna K. Lappalainen, Tuukka Petäjä, Timo Vihma, Jouni Räisänen, Alexander Baklanov, Sergey Chalov, Igor Esau, Ekaterina Ezhova, Matti Leppäranta, Dmitry Pozdnyakov, Jukka Pumpanen, Meinrat O. Andreae, Mikhail Arshinov, Eija Asmi, Jianhui Bai, Igor Bashmachnikov, Boris Belan, Federico Bianchi, Boris Biskaborn, Michael Boy, Jaana Bäck, Bin Cheng, Natalia Chubarova, Jonathan Duplissy, Egor Dyukarev, Konstantinos Eleftheriadis, Martin Forsius, Martin Heimann, Sirkku Juhola, Vladimir Konovalov, Igor Konovalov, Pavel Konstantinov, Kajar Köster, Elena Lapshina, Anna Lintunen, Alexander Mahura, Risto Makkonen, Svetlana Malkhazova, Ivan Mammarella, Stefano Mammola, Stephany Buenrostro Mazon, Outi Meinander, Eugene Mikhailov, Victoria Miles, Stanislav Myslenkov, Dmitry Orlov, Jean-Daniel Paris, Roberta Pirazzini, Olga Popovicheva, Jouni Pulliainen, Kimmo Rautiainen, Torsten Sachs, Vladimir Shevchenko, Andrey Skorokhod, Andreas Stohl, Elli Suhonen, Erik S. Thomson, Marina Tsidilina, Veli-Pekka Tynkkynen, Petteri Uotila, Aki Virkkula, Nadezhda Voropay, Tobias Wolf, Sayaka Yasunaka, Jiahua Zhang, Yubao Qiu, Aijun Ding, Huadong Guo, Valery Bondur, Nikolay Kasimov, Sergej Zilitinkevich, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
Timo Vesala, Kukka-Maaria Kohonen, Linda M. J. Kooijmans, Arnaud P. Praplan, Lenka Foltýnová, Pasi Kolari, Markku Kulmala, Jaana Bäck, David Nelson, Dan Yakir, Mark Zahniser, and Ivan Mammarella
Atmos. Chem. Phys., 22, 2569–2584, https://doi.org/10.5194/acp-22-2569-2022, https://doi.org/10.5194/acp-22-2569-2022, 2022
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Carbonyl sulfide (COS) provides new insights into carbon cycle research. We present an easy-to-use flux parameterization and the longest existing time series of forest–atmosphere COS exchange measurements, which allow us to study both seasonal and interannual variability. We observed only uptake of COS by the forest on an annual basis, with 37 % variability between years. Upscaling the boreal COS uptake using a biosphere model indicates a significant missing COS sink at high latitudes.
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
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The effects of climate warming on carbon cycling across the Arctic–boreal zone (ABZ) remain poorly understood due to the relatively limited distribution of ABZ flux sites. Fortunately, this flux network is constantly increasing, but new measurements are published in various platforms, making it challenging to understand the ABZ carbon cycle as a whole. Here, we compiled a new database of Arctic–boreal CO2 fluxes to help facilitate large-scale assessments of the ABZ carbon cycle.
Linda M. J. Kooijmans, Ara Cho, Jin Ma, Aleya Kaushik, Katherine D. Haynes, Ian Baker, Ingrid T. Luijkx, Mathijs Groenink, Wouter Peters, John B. Miller, Joseph A. Berry, Jerome Ogée, Laura K. Meredith, Wu Sun, Kukka-Maaria Kohonen, Timo Vesala, Ivan Mammarella, Huilin Chen, Felix M. Spielmann, Georg Wohlfahrt, Max Berkelhammer, Mary E. Whelan, Kadmiel Maseyk, Ulli Seibt, Roisin Commane, Richard Wehr, and Maarten Krol
Biogeosciences, 18, 6547–6565, https://doi.org/10.5194/bg-18-6547-2021, https://doi.org/10.5194/bg-18-6547-2021, 2021
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The gas carbonyl sulfide (COS) can be used to estimate photosynthesis. To adopt this approach on regional and global scales, we need biosphere models that can simulate COS exchange. So far, such models have not been evaluated against observations. We evaluate the COS biosphere exchange of the SiB4 model against COS flux observations. We find that the model is capable of simulating key processes in COS biosphere exchange. Still, we give recommendations for further improvement of the model.
Auke J. Visser, Laurens N. Ganzeveld, Ignacio Goded, Maarten C. Krol, Ivan Mammarella, Giovanni Manca, and K. Folkert Boersma
Atmos. Chem. Phys., 21, 18393–18411, https://doi.org/10.5194/acp-21-18393-2021, https://doi.org/10.5194/acp-21-18393-2021, 2021
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Dry deposition is an important sink for tropospheric ozone that affects ecosystem carbon uptake, but process understanding remains incomplete. We apply a common deposition representation in atmospheric chemistry models and a multi-layer canopy model to multi-year ozone deposition observations. The multi-layer canopy model performs better on diurnal timescales compared to the common approach, leading to a substantially improved simulation of ozone deposition and vegetation ozone impact metrics.
Alex Resovsky, Michel Ramonet, Leonard Rivier, Jerome Tarniewicz, Philippe Ciais, Martin Steinbacher, Ivan Mammarella, Meelis Mölder, Michal Heliasz, Dagmar Kubistin, Matthias Lindauer, Jennifer Müller-Williams, Sebastien Conil, and Richard Engelen
Atmos. Meas. Tech., 14, 6119–6135, https://doi.org/10.5194/amt-14-6119-2021, https://doi.org/10.5194/amt-14-6119-2021, 2021
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We present a technical description of a statistical methodology for extracting synoptic- and seasonal-length anomalies from greenhouse gas time series. The definition of what represents an anomalous signal is somewhat subjective, which we touch on throughout the paper. We show, however, that the method performs reasonably well in extracting portions of time series influenced by significant North Atlantic Oscillation weather episodes and continent-wide terrestrial biospheric aberrations.
Pavel Alekseychik, Aino Korrensalo, Ivan Mammarella, Samuli Launiainen, Eeva-Stiina Tuittila, Ilkka Korpela, and Timo Vesala
Biogeosciences, 18, 4681–4704, https://doi.org/10.5194/bg-18-4681-2021, https://doi.org/10.5194/bg-18-4681-2021, 2021
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Bogs of northern Eurasia represent a major type of peatland ecosystem and contain vast amounts of carbon, but carbon balance monitoring studies on bogs are scarce. The current project explores 6 years of carbon balance data obtained using the state-of-the-art eddy-covariance technique at a Finnish bog Siikaneva. The results reveal relatively low interannual variability indicative of ecosystem resilience to both cool and hot summers and provide new insights into the seasonal course of C fluxes.
Cited articles
Alm, J., Saarnio, S., Nykänen, H., Silvola, J., and Martikainen, P.: Winter CO2, CH4 and N2O fluxes on some natural and drained boreal peatlands, Biogeochemistry, 44, 163–186, https://doi.org/10.1007/BF00992977, 1999.
Alm, J., Wall, A., Myllykangas, J.-P., Ojanen, P., Heikkinen, J., Henttonen, H. M., Laiho, R., Minkkinen, K., Tuomainen, T., and Mikola, J.: A new method for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland, Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, 2023.
Arnalds, O.: The Volcanic Aeolian Environments of Iceland, in: The Soils of Iceland, edited by: Arnalds, O., Springer Netherlands, Dordrecht, 139–152, https://doi.org/10.1007/978-94-017-9621-7_11, 2015.
Arnalds, O., Gudmundsson, J., Oskarsson, H., Brink, S. H., and Gisladottir, F. O.: Icelandic Inland Wetlands: Characteristics and Extent of Draining, Wetlands, 36, 759–769, https://doi.org/10.1007/s13157-016-0784-1, 2016a.
Arnalds, O., Dagsson-Waldhauserova, P., and Olafsson, H.: The Icelandic volcanic aeolian environment: Processes and impacts — A review, Aeolian Res., 20, 176–195, https://doi.org/10.1016/j.aeolia.2016.01.004, 2016b.
Aubinet, M., Chermanne, B., Vandenhaute, M., Longdoz, B., Yernaux, M., and Laitat, E.: Long term carbon dioxide exchange above a mixed forest in the Belgian Ardennes, Agr. Forest Meteorol., 108, 293–315, https://doi.org/10.1016/S0168-1923(01)00244-1, 2001.
Aubinet, M., Vesala, T., and Papale, D.: Eddy Covariance: A Practical Guide to Measurement and Data Analysis, Springer Science & Business Media, 451 pp., https://doi.org/10.1007/978-94-007-2351-1, 2012.
Aurela, M., Laurila, T., and Tuovinen, J.-P.: Annual CO2 balance of a subarctic fen in northern Europe: Importance of the wintertime efflux, J. Geophys. Res.-Atmos., 107, ACH 17-1–ACH 17-12, https://doi.org/10.1029/2002JD002055, 2002.
Aurela, M., Laurila, T., and Tuovinen, J.-P.: The timing of snow melt controls the annual CO2 balance in a subarctic fen, Geophys. Res. Lett., 31, https://doi.org/10.1029/2004GL020315, 2004.
Bjarnadottir, B., Aslan Sungur, G., Sigurdsson, B. D., Kjartansson, B. T., Oskarsson, H., Oddsdottir, E. S., Gunnarsdottir, G. E., and Black, A.: Carbon and water balance of an afforested shallow drained peatland in Iceland, Forest Ecol. Manag., 482, 118861, https://doi.org/10.1016/j.foreco.2020.118861, 2021.
Bjornsson, H., Jonsson, T., Gylfadottir, S. S., and Olason, E. O.: Mapping the annual cycle of temperature in Iceland, Meteorol. Z., 16, 45–56, https://doi.org/10.1127/0941-2948/2007/0175, 2007.
Bubier, J., Crill, P., Mosedale, A., Frolking, S., and Linder, E.: Peatland responses to varying interannual moisture conditions as measured by automatic CO2 chambers, Global Biogeochem. Cy., 17, https://doi.org/10.1029/2002GB001946, 2003.
Burba, G. G., McDERMITT, D. K., Grelle, A., Anderson, D. J., and Xu, L.: Addressing the influence of instrument surface heat exchange on the measurements of CO2 flux from open-path gas analyzers, Glob. Change Biol., 14, 1854–1876, https://doi.org/10.1111/j.1365-2486.2008.01606.x, 2008.
Carter, T. R.: Changes in the thermal growing season in Nordic countries during the past century and prospects for the future, Agr. Food Sci., 7, 161–179, https://doi.org/10.23986/afsci.72857, 1998.
Chen, T. and Guestrin, C.: XGBoost: A Scalable Tree Boosting System, in: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '16, 785–794, https://doi.org/10.1145/2939672.2939785, 2016.
Dagsson-Waldhauserova, P., Arnalds, O., and Olafsson, H.: Long-term variability of dust events in Iceland (1949–2011), Atmos. Chem. Phys., 14, 13411–13422, https://doi.org/10.5194/acp-14-13411-2014, 2014.
Dandois, J. P. and Ellis, E. C.: High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision, Remote Sens. Environ., 136, 259–276, https://doi.org/10.1016/j.rse.2013.04.005, 2013.
Einarsson, M. Á.: Climate of Iceland, in: Climates of the Oceans (World Survey of Climatology, Vol. 15), edited by: van Loon, H., Elsevier, Amsterdam, The Netherlands, 673–697, ISBN 978-0444413376, 1984.
Elmendorf, S. C., Henry, G. H. R., Hollister, R. D., Björk, R. G., Bjorkman, A. D., Callaghan, T. V., Collier, L. S., Cooper, E. J., Cornelissen, J. H. C., Day, T. A., Fosaa, A. M., Gould, W. A., Grétarsdóttir, J., Harte, J., Hermanutz, L., Hik, D. S., Hofgaard, A., Jarrad, F., Jónsdóttir, I. S., Keuper, F., Klanderud, K., Klein, J. A., Koh, S., Kudo, G., Lang, S. I., Loewen, V., May, J. L., Mercado, J., Michelsen, A., Molau, U., Myers-Smith, I. H., Oberbauer, S. F., Pieper, S., Post, E., Rixen, C., Robinson, C. H., Schmidt, N. M., Shaver, G. R., Stenström, A., Tolvanen, A., Totland, Ø., Troxler, T., Wahren, C.-H., Webber, P. J., Welker, J. M., and Wookey, P. A.: Global assessment of experimental climate warming on tundra vegetation: heterogeneity over space and time, Ecol. Lett., 15, 164–175, https://doi.org/10.1111/j.1461-0248.2011.01716.x, 2012.
Evans, C. D., Peacock, M., Baird, A. J., Artz, R. R. E., Burden, A., Callaghan, N., Chapman, P. J., Cooper, H. M., Coyle, M., Craig, E., Cumming, A., Dixon, S., Gauci, V., Grayson, R. P., Helfter, C., Heppell, C. M., Holden, J., Jones, D. L., Kaduk, J., Levy, P., Matthews, R., McNamara, N. P., Misselbrook, T., Oakley, S., Page, S. E., Rayment, M., Ridley, L. M., Stanley, K. M., Williamson, J. L., Worrall, F., and Morrison, R.: Overriding water table control on managed peatland greenhouse gas emissions, Nature, 593, 548–552, https://doi.org/10.1038/s41586-021-03523-1, 2021.
FAO: Global Forest Resources Assessment 2020. Key findings, FAO, Rome, Italy, 16 pp., https://doi.org/10.4060/ca8753en, 2020.
Foken, T.: The Energy Balance Closure Problem: An Overview, Ecol. Appl., 18, 1351–1367, https://doi.org/10.1890/06-0922.1, 2008.
Førland, E. J., Skaugen, T. E., Benestad, R. E., Hanssen-Bauer, I., and Tveito, O. E.: Variations in Thermal Growing, Heating, and Freezing Indices in the Nordic Arctic, 1900–2050, Arct. Antarct. Alp. Res., 36, 347–356, https://doi.org/10.1657/1523-0430(2004)036[0347:VITGHA]2.0.CO;2, 2004.
Gorham, E.: Northern Peatlands: Role in the Carbon Cycle and Probable Responses to Climatic Warming, Ecol. Appl., 1, 182–195, https://doi.org/10.2307/1941811, 1991.
Guðmundsson, J. and Óskarsson, H.: Carbon dioxide emission from drained organic soils in West-Iceland, in: : Soil carbon sequestration for climate food security and ecosystem services, Reykjavík, Iceland, 155–159, 2014.
Guðmundsson, J., Óskarsson, H., Jansen, E., Kristinsson, S. Þ., Kjeld, A., and Gíslason, E. M.: Low nitrous oxide fluxes from mineral affected peatland soils in Iceland, Agr. Ecosyst. Environ., 376, 109247, https://doi.org/10.1016/j.agee.2024.109247, 2024.
Guðmundsson, J., Óskarsson, H., Pagneux, E. P., and Þórðarson, H. N.: Regional Estimates of CO2 Fluxes and Stock Losses from Drained Uncultivated Peatlands in West Iceland, Environ. Model. Assess., https://doi.org/10.1007/s10666-026-10105-w, 2026.
Gunnarsdóttir, G. E. G.: A novel approach to estimate carbon loss from drained peatlands in Iceland, Thesis, University of Iceland, Reykjavik, Iceland http://hdl.handle.net/1946/27731 (last access: 13 August 2025), 2017.
Hallsdóttir, B., Wöll, C., Gudmundsson, J., Snorrason, A., and Thorsson, J.: Emissions of greenhouse gases in Iceland from 1990 to 2010 National Inventory Report 2012, Submitted under the United Nations Framework Convention on Climate Change and the Kyoto Protocol, Environment Agency of Iceland, Reykjavík, Iceland, https://ust.is/library/Skrar/Atvinnulif/Loftslagsbreytingar/ICELAND NIR 2012.pdf (last access: 13 August 2025), 2012.
Hanssen-Bauer, I., Førland, E., Haddeland, I., Hisdal, H., Lawrence, D., Mayer, S., Nesje, A., Nilsen, J. E., Sandven, S., Sandø, A., Sorteberg, A., and Ådlandsvik, B.: Climate in Norway 2100, Norwegian Centre for Climate Services (NCCS), Oslo, Norway, NCCS report no. 1/2017, https://hdl.handle.net/11250/3746193 (last access: 27 December 2025), 2017.
Icelandic Meteorological Office: Tíðarfarsyfirlit 2023, Icelandic Meteorological Office, Reykjavík, Iceland, https://www.vedur.is/vedur/vedurfar/manadayfirlit/2023, last access: 30 December 2025a.
Icelandic Meteorological Office: Tíðafarsyfirlit 2024, Icelandic Meteorological Office, Reykjavík, Iceland, https://www.vedur.is/vedur/vedurfar/manadayfirlit/2024, last access: 30 December 2025b.
Icelandic Meteorological Office: Weather observations for Hafnarfjall (Station 31674) and Neðra-Skarð (station 97), Icelandic Meteorological Office, Reykjavík, Iceland, https://athuganir.vedur.is/, last access: 29 September 2025.
IPCC (Ed.): Climate change 2007: the physical science basis, Cambridge University Press, Cambridge, 2007.
IPCC: 2013 supplement to the 2006 IPCC guidelines for national greenhouse gas inventories: wetlands: methodological guidance on lands with wet and drained soils, and constructed wetlands for wastewater treatment, IPCC, Intergovernmental Panel on Climate Change, Geneva, Switzerland, 2014.
Jauhiainen, J., Alm, J., Bjarnadottir, B., Callesen, I., Christiansen, J. R., Clarke, N., Dalsgaard, L., He, H., Jordan, S., Kazanavičiūtė, V., Klemedtsson, L., Lauren, A., Lazdins, A., Lehtonen, A., Lohila, A., Lupikis, A., Mander, Ü., Minkkinen, K., Kasimir, Å., Olsson, M., Ojanen, P., Óskarsson, H., Sigurdsson, B. D., Søgaard, G., Soosaar, K., Vesterdal, L., and Laiho, R.: Reviews and syntheses: Greenhouse gas exchange data from drained organic forest soils – a review of current approaches and recommendations for future research, Biogeosciences, 16, 4687–4703, https://doi.org/10.5194/bg-16-4687-2019, 2019.
Jauhiainen, J., Heikkinen, J., Clarke, N., He, H., Dalsgaard, L., Minkkinen, K., Ojanen, P., Vesterdal, L., Alm, J., Butlers, A., Callesen, I., Jordan, S., Lohila, A., Mander, Ü., Óskarsson, H., Sigurdsson, B. D., Søgaard, G., Soosaar, K., Kasimir, Å., Bjarnadottir, B., Lazdins, A., and Laiho, R.: Reviews and syntheses: Greenhouse gas emissions from drained organic forest soils – synthesizing data for site-specific emission factors for boreal and cool temperate regions, Biogeosciences, 20, 4819–4839, https://doi.org/10.5194/bg-20-4819-2023, 2023.
Joosten, H. and Clarke, D.: Wise use of mires and peatlands: background and principles including a framework for decision-making, Internat. Mire Conservation Group [u.a.], Totnes, 304 pp., 2002.
Kandel, T. P., Lærke, P. E., and Elsgaard, L.: Annual emissions of CO2, CH4 and N2O from a temperate peat bog: Comparison of an undrained and four drained sites under permanent grass and arable crop rotations with cereals and potato, Agr. Forest Meteorol., 256–257, 470–481, https://doi.org/10.1016/j.agrformet.2018.03.021, 2018.
Kljun, N., Calanca, P., Rotach, M. W., and Schmid, H. P.: A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP), Geosci. Model Dev., 8, 3695–3713, https://doi.org/10.5194/gmd-8-3695-2015, 2015.
Koskinen, M., Maanavilja, L., and Nieminen, M.: High Methane Emissions From Restored Norway Spruce Swamps in Southern Finland Over One Growing Season, Mires Peat, 17, https://doi.org/10.19189/MaP.2015.OMB.202, 2016.
Lasslop, G., Reichstein, M., Papale, D., Richardson, A. D., Arneth, A., Barr, A., Stoy, P., and Wohlfahrt, G.: Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Glob. Change Biol., 16, 187–208, https://doi.org/10.1111/j.1365-2486.2009.02041.x, 2010.
Leifeld, J. and Menichetti, L.: The underappreciated potential of peatlands in global climate change mitigation strategies, Nat. Commun., 9, 1071, https://doi.org/10.1038/s41467-018-03406-6, 2018.
Leifeld, J., Wüst-Galley, C., and Page, S.: Intact and managed peatland soils as a source and sink of GHGs from 1850 to 2100, Nat. Clim. Change, 9, 945–947, https://doi.org/10.1038/s41558-019-0615-5, 2019.
Lind, P., Belušić, D., Médus, E., Dobler, A., Pedersen, R. A., Wang, F., Matte, D., Kjellström, E., Landgren, O., Lindstedt, D., Christensen, O. B., and Christensen, J. H.: Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model, Clim. Dynam., 61, 519–541, https://doi.org/10.1007/s00382-022-06589-3, 2023.
Liu, L., Ciais, P., Nguyen, T. H., Xi, Y., Qiu, C., Salmon, E., Kalhori, A., Guimbaud, C., Peichl, M., Ratcliffe, J. L., Noumonvi, K. D., and Li, X.: Modeling the impact of drainage on peatland CO2 and CH4 fluxes and its underlying drivers, Biogeosciences, 23, 2277–2308, https://doi.org/10.5194/bg-23-2277-2026, 2026.
Lloyd, J. and Taylor, J. A.: On the Temperature Dependence of Soil Respiration, Funct. Ecol., 8, 315–323, https://doi.org/10.2307/2389824, 1994.
Lohila, A., Minkkinen, K., Aurela, M., Tuovinen, J.-P., Penttilä, T., Ojanen, P., and Laurila, T.: Greenhouse gas flux measurements in a forestry-drained peatland indicate a large carbon sink, Biogeosciences, 8, 3203–3218, https://doi.org/10.5194/bg-8-3203-2011, 2011.
Loisel, J., Gallego-Sala, A. V., Amesbury, M. J., Magnan, G., Anshari, G., Beilman, D. W., Benavides, J. C., Blewett, J., Camill, P., Charman, D. J., Chawchai, S., Hedgpeth, A., Kleinen, T., Korhola, A., Large, D., Mansilla, C. A., Müller, J., van Bellen, S., West, J. B., Yu, Z., Bubier, J. L., Garneau, M., Moore, T., Sannel, A. B. K., Page, S., Väliranta, M., Bechtold, M., Brovkin, V., Cole, L. E. S., Chanton, J. P., Christensen, T. R., Davies, M. A., De Vleeschouwer, F., Finkelstein, S. A., Frolking, S., Gałka, M., Gandois, L., Girkin, N., Harris, L. I., Heinemeyer, A., Hoyt, A. M., Jones, M. C., Joos, F., Juutinen, S., Kaiser, K., Lacourse, T., Lamentowicz, M., Larmola, T., Leifeld, J., Lohila, A., Milner, A. M., Minkkinen, K., Moss, P., Naafs, B. D. A., Nichols, J., O'Donnell, J., Payne, R., Philben, M., Piilo, S., Quillet, A., Ratnayake, A. S., Roland, T. P., Sjögersten, S., Sonnentag, O., Swindles, G. T., Swinnen, W., Talbot, J., Treat, C., Valach, A. C., and Wu, J.: Expert assessment of future vulnerability of the global peatland carbon sink, Nat. Clim. Change, 11, 70–77, https://doi.org/10.1038/s41558-020-00944-0, 2021.
Lundberg, S. M. and Lee, S.-I.: A unified approach to interpreting model predictions, in: Advances in Neural Information Processing Systems 30, Curran Associates, Inc., Red Hook, NY, USA, 4765–4774, https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions (last access: 29 December 2025), 2017.
Maljanen, M., Sigurdsson, B. D., Guðmundsson, J., Óskarsson, H., Huttunen, J. T., and Martikainen, P. J.: Greenhouse gas balances of managed peatlands in the Nordic countries – present knowledge and gaps, Biogeosciences, 7, 2711–2738, https://doi.org/10.5194/bg-7-2711-2010, 2010.
Mauder, M. and Foken, T.: Documentation and instruction manual of the eddy-covariance software package TK3, Arbeitsergebnisse, Nr. 46, Universität Bayreuth, Abt. Mikrometeorologie, Bayreuth, Germany, 60 pp., https://epub.uni-bayreuth.de/342/ (last access: 29 December 2025), 2011.
Minkkinen, K. and Laine, J.: Long-term effect of forest drainage on the peat carbon stores of pine mires in Finland, Can. J. Forest Res., 28, 1267–1275, https://doi.org/10.1139/x98-104, 1998.
Möckel, S. C., Erlendsson, E., and Gísladóttir, G.: Andic Soil Properties and Tephra Layers Hamper C Turnover in Icelandic Peatlands, J. Geophys. Res.-Biogeo., 126, e2021JG006433, https://doi.org/10.1029/2021JG006433, 2021.
Möckel, S. C., Erlendsson, E., and Gísladóttir, G.: Effect of mineral soil constituents on carbon characteristics of peatlands in aeolian environments of Iceland, Wetl. Ecol. Manag., 31, 853–874, https://doi.org/10.1007/s11273-023-09956-x, 2023.
Moncrieff, J. B., Monteny, B., Verhoef, A., Friborg, Th., Elbers, J., Kabat, P., de Bruin, H., Soegaard, H., Jarvis, P. G., and Taupin, J. D.: Spatial and temporal variations in net carbon flux during HAPEX-Sahel, J. Hydrol., 188–189, 563–588, https://doi.org/10.1016/S0022-1694(96)03193-9, 1997.
Monteith, J. L.: Solar Radiation and Productivity in Tropical Ecosystems, J. Appl. Ecol., 9, 747, https://doi.org/10.2307/2401901, 1972.
Mortier, S., Hamedpour, A., Bussmann, B., Wandji, R. P. T., Latré, S., Sigurdsson, B. D., De Schepper, T., and Verdonck, T.: Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning, Ecol. Inform., 82, 102730, https://doi.org/10.1016/j.ecoinf.2024.102730, 2024.
Ojanen, P., Minkkinen, K., Alm, J., and Penttilä, T.: Soil–atmosphere CO2, CH4 and N2O fluxes in boreal forestry-drained peatlands, Forest Ecol. Manag., 260, 411–421, https://doi.org/10.1016/j.foreco.2010.04.036, 2010.
Ólafsdóttir, R.: Carbon budget of a drained peatland in Western Iceland and initial effects of rewetting, Thesis, Agricultural University of Iceland, Hvanneyri, Iceland http://hdl.handle.net/1946/22095 (last access: 12 November 2025), 2015.
Ottósson, J. G., Sveinsdóttir, A., and Harðardóttir, M.: VISTGERÐIR Á ÍSLANDI, Náttúrufræðistofnun, 2017.
Papale, D., Reichstein, M., Aubinet, M., Canfora, E., Bernhofer, C., Kutsch, W., Longdoz, B., Rambal, S., Valentini, R., Vesala, T., and Yakir, D.: Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation, Biogeosciences, 3, 571–583, https://doi.org/10.5194/bg-3-571-2006, 2006.
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y.-W., Poindexter, C., Chen, J., Elbashandy, A., Humphrey, M., Isaac, P., Polidori, D., Reichstein, M., Ribeca, A., van Ingen, C., Vuichard, N., Zhang, L., Amiro, B., Ammann, C., Arain, M. A., Ardö, J., Arkebauer, T., Arndt, S. K., Arriga, N., Aubinet, M., Aurela, M., Baldocchi, D., Barr, A., Beamesderfer, E., Marchesini, L. B., Bergeron, O., Beringer, J., Bernhofer, C., Berveiller, D., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Boike, J., Bolstad, P. V., Bonal, D., Bonnefond, J.-M., Bowling, D. R., Bracho, R., Brodeur, J., Brümmer, C., Buchmann, N., Burban, B., Burns, S. P., Buysse, P., Cale, P., Cavagna, M., Cellier, P., Chen, S., Chini, I., Christensen, T. R., Cleverly, J., Collalti, A., Consalvo, C., Cook, B. D., Cook, D., Coursolle, C., Cremonese, E., Curtis, P. S., D'Andrea, E., da Rocha, H., Dai, X., Davis, K. J., Cinti, B. D., Grandcourt, A. de, Ligne, A. D., De Oliveira, R. C., Delpierre, N., Desai, A. R., Di Bella, C. M., Tommasi, P. di, Dolman, H., Domingo, F., Dong, G., Dore, S., Duce, P., Dufrêne, E., Dunn, A., Dušek, J., Eamus, D., Eichelmann, U., ElKhidir, H. A. M., Eugster, W., Ewenz, C. M., Ewers, B., Famulari, D., Fares, S., Feigenwinter, I., Feitz, A., Fensholt, R., Filippa, G., Fischer, M., Frank, J., Galvagno, M., et al.: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data, Sci. Data, 7, 225, https://doi.org/10.1038/s41597-020-0534-3, 2020.
Pearson, K.: VII. Mathematical contributions to the theory of evolution.—III. Regression, heredity, and panmixia, Philos. T. R. Soc. Lond., 253–318, https://doi.org/10.1098/rsta.1896.0007, 1896.
Qiu, C., Ciais, P., Zhu, D., Guenet, B., Peng, S., Petrescu, A. M. R., Lauerwald, R., Makowski, D., Gallego-Sala, A. V., Charman, D. J., and Brewer, S. C.: Large historical carbon emissions from cultivated northern peatlands, Sci. Adv., 7, eabf1332, https://doi.org/10.1126/sciadv.abf1332, 2021.
Raich, J. W. and Schlesinger, W. H.: The global carbon dioxide flux in soil respiration and its relationship to vegetation and climate, Tellus B, 44, https://doi.org/10.3402/tellusb.v44i2.15428, 1992.
Raynolds, M., Magnússon, B., Metúsalemsson, S., and Magnússon, S. H.: Warming, Sheep and Volcanoes: Land Cover Changes in Iceland Evident in Satellite NDVI Trends, Remote Sens., 7, 9492–9506, https://doi.org/10.3390/rs70809492, 2015.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M., Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A., Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl, A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T., Miglietta, F., Ourcival, J.-M., Pumpanen, J., Rambal, S., Rotenberg, E., Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and Valentini, R.: On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm, Glob. Change Biol., 11, 1424–1439, https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005.
Rojstaczer, S. and Deverel, S. J.: Time dependence in atmospheric carbon inputs from drainage of organic soils, Geophys. Res. Lett., 20, 1383–1386, https://doi.org/10.1029/93GL01339, 1993.
Rouse, J. W., Haas, R. H., Schell, J. A., and Deering, D. W.: Monitoring vegetation systems in the Great Plains with ERTS, NTRS Author Affiliations: Texas A&M Univ.NTRS Report/Patent Number: PAPER-A20NTRS Document ID: 19740022614NTRS, Research Center: Legacy CDMS (CDMS), 1974.
Ruosteenoja, K. and Jylhä, K.: Projected climate change in Finland during the 21st century calculated from CMIP6 model simulations, Geophysica, 56, 39–69 https://www.geophysica.fi/pdf/geophysica_2021_56_1_039_ruosteenoja.pdf (last access: 27 December 2025), 2022.
Sellers, P. J.: Canopy reflectance, photosynthesis and transpiration, Int. J. Remote Sens., 6, 1335–1372, https://doi.org/10.1080/01431168508948283, 1985.
Streeper, K. B.: Carbon stocks and properties of a drained and undrained peatland in West Iceland, Thesis, University of Iceland, 2026.
Tikkasalo, O.-P., Peltola, O., Alekseychik, P., Heikkinen, J., Launiainen, S., Lehtonen, A., Li, Q., Martínez-García, E., Peltoniemi, M., Salovaara, P., Tuominen, V., and Mäkipää, R.: Eddy-covariance fluxes of CO2, CH4 and N2O in a drained peatland forest after clear-cutting, Biogeosciences, 22, 1277–1300, https://doi.org/10.5194/bg-22-1277-2025, 2025.
Truskavetskii, R. S.: Carbon budget of drained peat bogs in Ukrainian Polesie, Eurasian Soil Sci.+, 47, 687–693, https://doi.org/10.1134/S1064229314050238, 2014.
Umhverfisstofnun: National Inventory Report, Environment Agency of Iceland (Umhverfisstofnun), Reykjavík, Iceland, https://ust.is/library/Skrar/loft/NIR/ISL_NIR 2023_15 april_on_web.pdf (last access: 9 January 2026), 2023.
Umhverfisstofnun: National Inventory Document, Umhverfisstofnun, 2025.
van Giersbergen, Q., Barthelmes, A., Couwenberg, J., Lång, K., Martin, N., Tegetmeyer, C., Fritz, C., and Tanneberger, F.: Identifying hotspots of greenhouse gas emissions from drained peatlands in the European Union, Nat. Commun., 16, 10825, https://doi.org/10.1038/s41467-025-65841-6, 2025.
Webb, E. K., Pearman, G. I., and Leuning, R.: Correction of flux measurements for density effects due to heat and water vapour transfer, Q. J. Roy. Meteor. Soc., 106, 85–100, https://doi.org/10.1002/qj.49710644707, 1980.
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., and Reynolds, J. M.: `Structure-from-Motion' photogrammetry: A low-cost, effective tool for geoscience applications, Geomorphology, 179, 300–314, https://doi.org/10.1016/j.geomorph.2012.08.021, 2012.
Wilson, K., Goldstein, A., Falge, E., Aubinet, M., Baldocchi, D., Berbigier, P., Bernhofer, C., Ceulemans, R., Dolman, H., Field, C., Grelle, A., Ibrom, A., Law, B. E., Kowalski, A., Meyers, T., Moncrieff, J., Monson, R., Oechel, W., Tenhunen, J., Valentini, R., and Verma, S.: Energy balance closure at FLUXNET sites, Agr. Forest Meteorol., 113, 223–243, https://doi.org/10.1016/S0168-1923(02)00109-0, 2002.
Wilson, R. M., Hopple, A. M., Tfaily, M. M., Sebestyen, S. D., Schadt, C. W., Pfeifer-Meister, L., Medvedeff, C., McFarlane, K. J., Kostka, J. E., Kolton, M., Kolka, R. K., Kluber, L. A., Keller, J. K., Guilderson, T. P., Griffiths, N. A., Chanton, J. P., Bridgham, S. D., and Hanson, P. J.: Stability of peatland carbon to rising temperatures, Nat. Commun., 7, 13723, https://doi.org/10.1038/ncomms13723, 2016.
Wohlfahrt, G., Anfang, C., Bahn, M., Haslwanter, A., Newesely, C., Schmitt, M., Drösler, M., Pfadenhauer, J., and Cernusca, A.: Quantifying nighttime ecosystem respiration of a meadow using eddy covariance, chambers and modelling, Agr. Forest Meteorol., 128, 141–162, https://doi.org/10.1016/j.agrformet.2004.11.003, 2005.
Wohlfahrt, G., Hammerle, A., Haslwanter, A., Bahn, M., Tappeiner, U., and Cernusca, A.: Seasonal and inter-annual variability of the net ecosystem CO2 exchange of a temperate mountain grassland: Effects of weather and management, J. Geophys. Res.-Atmos., 113, https://doi.org/10.1029/2007JD009286, 2008.
Wutzler, T., Lucas-Moffat, A., Migliavacca, M., Knauer, J., Sickel, K., Šigut, L., Menzer, O., and Reichstein, M.: Basic and extensible post-processing of eddy covariance flux data with REddyProc, Biogeosciences, 15, 5015–5030, https://doi.org/10.5194/bg-15-5015-2018, 2018.
Xu, J., Morris, P. J., Liu, J., and Holden, J.: PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis, CATENA, 160, 134–140, https://doi.org/10.1016/j.catena.2017.09.010, 2018.
Yu, Z., Loisel, J., Brosseau, D. P., Beilman, D. W., and Hunt, S. J.: Global peatland dynamics since the Last Glacial Maximum, Geophys. Res. Lett., 37, 2010GL043584, https://doi.org/10.1029/2010GL043584, 2010.
Short summary
This study investigates the carbon balance of a drained unmanaged peatland in Iceland. By measuring greenhouse gases for two years using eddy covariance system, it was found that this site releases less carbon dioxide than currently estimated by international guidelines. Despite a very warm year, increased plant growth balanced out higher soil emissions, keeping the total carbon loss stable. This study shows that winter emissions are crucial and year-round monitoring is vital for accuracy.
This study investigates the carbon balance of a drained unmanaged peatland in Iceland. By...
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