Articles | Volume 20, issue 3
https://doi.org/10.5194/bg-20-545-2023
© Author(s) 2023. 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-20-545-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape
Lauri Heiskanen
CORRESPONDING AUTHOR
Climate System Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Juha-Pekka Tuovinen
Climate System Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Henriikka Vekuri
Climate System Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Aleksi Räsänen
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
Bioeconomy and Environment Unit, Natural Resources Institute Finland (LUKE), Oulu, Finland
Tarmo Virtanen
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
Sari Juutinen
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland
Annalea Lohila
Climate System Research Unit, Finnish Meteorological Institute, Helsinki, Finland
Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Juha Mikola
Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
Bioeconomy and Environment Unit, Natural Resources Institute Finland (LUKE), Helsinki, Finland
Mika Aurela
Climate System Research Unit, Finnish Meteorological Institute, Helsinki, Finland
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EGUsphere, https://doi.org/10.5194/egusphere-2025-2987, https://doi.org/10.5194/egusphere-2025-2987, 2025
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Biogeosciences, 22, 3047–3071, https://doi.org/10.5194/bg-22-3047-2025, https://doi.org/10.5194/bg-22-3047-2025, 2025
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Geosci. Model Dev., 18, 2137–2159, https://doi.org/10.5194/gmd-18-2137-2025, https://doi.org/10.5194/gmd-18-2137-2025, 2025
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When it comes to climate change, the land surface is where the vast majority of impacts happen. The task of monitoring those impacts across the globe is formidable and must necessarily rely on satellites – at a significant cost: the measurements are only indirect and require comprehensive physical understanding. We have created a comprehensive modelling system that we offer to the research community to explore how satellite data can be better exploited to help us capture the changes that happen on our lands.
Mana Gharun, Ankit Shekhar, Lukas Hörtnagl, Luana Krebs, Nicola Arriga, Mirco Migliavacca, Marilyn Roland, Bert Gielen, Leonardo Montagnani, Enrico Tomelleri, Ladislav Šigut, Matthias Peichl, Peng Zhao, Marius Schmidt, Thomas Grünwald, Mika Korkiakoski, Annalea Lohila, and Nina Buchmann
Biogeosciences, 22, 1393–1411, https://doi.org/10.5194/bg-22-1393-2025, https://doi.org/10.5194/bg-22-1393-2025, 2025
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The effect of winter warming on forest CO2 fluxes has rarely been investigated. We tested the effect of the warm winter of 2020 on the forest CO2 fluxes across 14 sites in Europe and found that the net ecosystem productivity (NEP) across most sites declined during the warm winter due to increased respiration fluxes.
Emmihenna Jääskeläinen, Miska Luoto, Pauli Putkiranta, Mika Aurela, and Tarmo Virtanen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-390, https://doi.org/10.5194/hess-2024-390, 2025
Revised manuscript under review for HESS
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Otso Peräkylä, Erkka Rinne, Ekaterina Ezhova, Anna Lintunen, Annalea Lohila, Juho Aalto, Mika Aurela, Pasi Kolari, and Markku Kulmala
Biogeosciences, 22, 153–179, https://doi.org/10.5194/bg-22-153-2025, https://doi.org/10.5194/bg-22-153-2025, 2025
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Forests are seen as good for climate. Yet, in areas with snow, trees break up the white snow surface and absorb more sunlight than open areas. This has a warming effect, negating some of the climate benefit of trees. We studied two site pairs in Finland, both with an open peatland and a forest. We found that the later the snow melts, the more extra energy the forest absorbs as compared to the peatland. This has implications for the future, as snow cover duration is affected by global warming.
Vilna Tyystjärvi, Tiina Markkanen, Leif Backman, Maarit Raivonen, Antti Leppänen, Xuefei Li, Paavo Ojanen, Kari Minkkinen, Roosa Hautala, Mikko Peltoniemi, Jani Anttila, Raija Laiho, Annalea Lohila, Raisa Mäkipää, and Tuula Aalto
Biogeosciences, 21, 5745–5771, https://doi.org/10.5194/bg-21-5745-2024, https://doi.org/10.5194/bg-21-5745-2024, 2024
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Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024, https://doi.org/10.5194/hess-28-4643-2024, 2024
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Biogeosciences, 21, 4341–4359, https://doi.org/10.5194/bg-21-4341-2024, https://doi.org/10.5194/bg-21-4341-2024, 2024
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Helena Rautakoski, Mika Korkiakoski, Jarmo Mäkelä, Markku Koskinen, Kari Minkkinen, Mika Aurela, Paavo Ojanen, and Annalea Lohila
Biogeosciences, 21, 1867–1886, https://doi.org/10.5194/bg-21-1867-2024, https://doi.org/10.5194/bg-21-1867-2024, 2024
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Current and future nitrous oxide (N2O) emissions are difficult to estimate due to their high variability in space and time. Several years of N2O fluxes from drained boreal peatland forest indicate high importance of summer precipitation, winter temperature, and snow conditions in controlling annual N2O emissions. The results indicate increasing year-to-year variation in N2O emissions in changing climate with more extreme seasonal weather conditions.
Jalisha Theanutti Kallingal, Marko Scholze, Paul Anthony Miller, Johan Lindström, Janne Rinne, Mika Aurela, Patrik Vestin, and Per Weslien
EGUsphere, https://doi.org/10.5194/egusphere-2024-373, https://doi.org/10.5194/egusphere-2024-373, 2024
Preprint archived
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Our study employs an Adaptive MCMC algorithm (GRaB-AM) to constrain process parameters in the wetlands emission module of the LPJ-GUESS model, using CH4 EC flux observations from 14 diverse wetlands. We aim to derive a single set of parameters capable of representing the diversity of northern wetlands. By reducing uncertainties in model parameters and improving simulation accuracy, our research contributes to more reliable projections of future wetland CH4 emissions and their climate impact.
Justine Trémeau, Beñat Olascoaga, Leif Backman, Esko Karvinen, Henriikka Vekuri, and Liisa Kulmala
Biogeosciences, 21, 949–972, https://doi.org/10.5194/bg-21-949-2024, https://doi.org/10.5194/bg-21-949-2024, 2024
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We studied urban lawns and meadows in the Helsinki metropolitan area, Finland. We found that meadows are more resistant to drought events but that they do not increase carbon sequestration compared with lawns. Moreover, the transformation from lawns to meadows did not demonstrate any negative climate effects in terms of greenhouse gas emissions. Even though social and economic aspects also steer urban development, these results can guide planning to consider carbon-smart options.
Jari-Pekka Nousu, Matthieu Lafaysse, Giulia Mazzotti, Pertti Ala-aho, Hannu Marttila, Bertrand Cluzet, Mika Aurela, Annalea Lohila, Pasi Kolari, Aaron Boone, Mathieu Fructus, and Samuli Launiainen
The Cryosphere, 18, 231–263, https://doi.org/10.5194/tc-18-231-2024, https://doi.org/10.5194/tc-18-231-2024, 2024
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The snowpack has a major impact on the land surface energy budget. Accurate simulation of the snowpack energy budget is difficult, and studies that evaluate models against energy budget observations are rare. We compared predictions from well-known models with observations of energy budgets, snow depths and soil temperatures in Finland. Our study identified contrasting strengths and limitations for the models. These results can be used for choosing the right models depending on the use cases.
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.
Jukka Alm, Antti Wall, Jukka-Pekka Myllykangas, Paavo Ojanen, Juha Heikkinen, Helena M. Henttonen, Raija Laiho, Kari Minkkinen, Tarja Tuomainen, and Juha Mikola
Biogeosciences, 20, 3827–3855, https://doi.org/10.5194/bg-20-3827-2023, https://doi.org/10.5194/bg-20-3827-2023, 2023
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In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained for forestry, Finland reports sinks and sources of greenhouse gases in forest lands on organic soils following its UNFCCC commitment. We describe a new method for compiling soil CO2 balance that follows changes in tree volume, tree harvests and temperature. An increasing trend of emissions from 1.4 to 7.9 Mt CO2 was calculated for drained peatland forest soils in Finland for 1990–2021.
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.
Yao Gao, Eleanor J. Burke, Sarah E. Chadburn, Maarit Raivonen, Mika Aurela, Lawrence B. Flanagan, Krzysztof Fortuniak, Elyn Humphreys, Annalea Lohila, Tingting Li, Tiina Markkanen, Olli Nevalainen, Mats B. Nilsson, Włodzimierz Pawlak, Aki Tsuruta, Huiyi Yang, and Tuula Aalto
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-229, https://doi.org/10.5194/bg-2022-229, 2022
Manuscript not accepted for further review
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We coupled a process-based peatland CH4 emission model HIMMELI with a state-of-art land surface model JULES. The performance of the coupled model was evaluated at six northern wetland sites. The coupled model is considered to be more appropriate in simulating wetland CH4 emission. In order to improve the simulated CH4 emission, the model requires better representation of the peat soil carbon and hydrologic processes in JULES and the methane production and transportation processes in HIMMELI.
Matti Räsänen, Mika Aurela, Ville Vakkari, Johan P. Beukes, Juha-Pekka Tuovinen, Pieter G. Van Zyl, Miroslav Josipovic, Stefan J. Siebert, Tuomas Laurila, Markku Kulmala, Lauri Laakso, Janne Rinne, Ram Oren, and Gabriel Katul
Hydrol. Earth Syst. Sci., 26, 5773–5791, https://doi.org/10.5194/hess-26-5773-2022, https://doi.org/10.5194/hess-26-5773-2022, 2022
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The productivity of semiarid grazed grasslands is linked to the variation in rainfall and transpiration. By combining carbon dioxide and water flux measurements, we show that the annual transpiration is nearly constant during wet years while grasses react quickly to dry spells and drought, which reduce transpiration. The planning of annual grazing strategies could consider the early-season rainfall frequency that was linked to the portion of annual transpiration.
Maiju Linkosalmi, Juha-Pekka Tuovinen, Olli Nevalainen, Mikko Peltoniemi, Cemal M. Taniş, Ali N. Arslan, Juuso Rainne, Annalea Lohila, Tuomas Laurila, and Mika Aurela
Biogeosciences, 19, 4747–4765, https://doi.org/10.5194/bg-19-4747-2022, https://doi.org/10.5194/bg-19-4747-2022, 2022
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Vegetation greenness was monitored with digital cameras in three northern peatlands during five growing seasons. The greenness index derived from the images was highest at the most nutrient-rich site. Greenness indicated the main phases of phenology and correlated with CO2 uptake, though this was mainly related to the common seasonal cycle. The cameras and Sentinel-2 satellite showed consistent results, but more frequent satellite data are needed for reliable detection of phenological phases.
Sari Juutinen, Mika Aurela, Juha-Pekka Tuovinen, Viktor Ivakhov, Maiju Linkosalmi, Aleksi Räsänen, Tarmo Virtanen, Juha Mikola, Johanna Nyman, Emmi Vähä, Marina Loskutova, Alexander Makshtas, and Tuomas Laurila
Biogeosciences, 19, 3151–3167, https://doi.org/10.5194/bg-19-3151-2022, https://doi.org/10.5194/bg-19-3151-2022, 2022
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We measured CO2 and CH4 fluxes in heterogenous Arctic tundra in eastern Siberia. We found that tundra wetlands with sedge and grass vegetation contributed disproportionately to the landscape's ecosystem CO2 uptake and CH4 emissions to the atmosphere. Moreover, we observed high CH4 consumption in dry tundra, particularly in barren areas, offsetting part of the CH4 emissions from the wetlands.
Miska Olin, Magdalena Okuljar, Matti P. Rissanen, Joni Kalliokoski, Jiali Shen, Lubna Dada, Markus Lampimäki, Yusheng Wu, Annalea Lohila, Jonathan Duplissy, Mikko Sipilä, Tuukka Petäjä, Markku Kulmala, and Miikka Dal Maso
Atmos. Chem. Phys., 22, 8097–8115, https://doi.org/10.5194/acp-22-8097-2022, https://doi.org/10.5194/acp-22-8097-2022, 2022
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Atmospheric new particle formation is an important source of the total particle number concentration in the atmosphere. Several parameters for predicting new particle formation events have been suggested before, but the results have been inconclusive. This study proposes an another predicting parameter, related to a specific type of highly oxidized organic molecules, especially for similar locations to the measurement site in this study, which was a coastal agricultural site in Finland.
Elodie Salmon, Fabrice Jégou, Bertrand Guenet, Line Jourdain, Chunjing Qiu, Vladislav Bastrikov, Christophe Guimbaud, Dan Zhu, Philippe Ciais, Philippe Peylin, Sébastien Gogo, Fatima Laggoun-Défarge, Mika Aurela, M. Syndonia Bret-Harte, Jiquan Chen, Bogdan H. Chojnicki, Housen Chu, Colin W. Edgar, Eugenie S. Euskirchen, Lawrence B. Flanagan, Krzysztof Fortuniak, David Holl, Janina Klatt, Olaf Kolle, Natalia Kowalska, Lars Kutzbach, Annalea Lohila, Lutz Merbold, Włodzimierz Pawlak, Torsten Sachs, and Klaudia Ziemblińska
Geosci. Model Dev., 15, 2813–2838, https://doi.org/10.5194/gmd-15-2813-2022, https://doi.org/10.5194/gmd-15-2813-2022, 2022
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A methane model that features methane production and transport by plants, the ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model, which includes an explicit representation of northern peatlands. This model, ORCHIDEE-PCH4, was calibrated and evaluated on 14 peatland sites. Results show that the model is sensitive to temperature and substrate availability over the top 75 cm of soil depth.
Olli Nevalainen, Olli Niemitalo, Istem Fer, Antti Juntunen, Tuomas Mattila, Olli Koskela, Joni Kukkamäki, Layla Höckerstedt, Laura Mäkelä, Pieta Jarva, Laura Heimsch, Henriikka Vekuri, Liisa Kulmala, Åsa Stam, Otto Kuusela, Stephanie Gerin, Toni Viskari, Julius Vira, Jari Hyväluoma, Juha-Pekka Tuovinen, Annalea Lohila, Tuomas Laurila, Jussi Heinonsalo, Tuula Aalto, Iivari Kunttu, and Jari Liski
Geosci. Instrum. Method. Data Syst., 11, 93–109, https://doi.org/10.5194/gi-11-93-2022, https://doi.org/10.5194/gi-11-93-2022, 2022
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Better monitoring of soil carbon sequestration is needed to understand the best carbon farming practices in different soils and climate conditions. We, the Field Observatory Network (FiON), have therefore established a methodology for monitoring and forecasting agricultural carbon sequestration by combining offline and near-real-time field measurements, weather data, satellite imagery, and modeling. To disseminate our work, we built a website called the Field Observatory (fieldobservatory.org).
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.
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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Wetlands, lakes, and rivers are important sources of the greenhouse gas methane to the atmosphere. To understand current and future methane emissions from northern regions, we need maps that show the extent and distribution of specific types of wetlands, lakes, and rivers. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) provides maps of five wetland types, seven lake types, and three river types for northern regions and will improve our ability to predict future methane emissions.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
Short summary
Short summary
Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Laura Heimsch, Annalea Lohila, Juha-Pekka Tuovinen, Henriikka Vekuri, Jussi Heinonsalo, Olli Nevalainen, Mika Korkiakoski, Jari Liski, Tuomas Laurila, and Liisa Kulmala
Biogeosciences, 18, 3467–3483, https://doi.org/10.5194/bg-18-3467-2021, https://doi.org/10.5194/bg-18-3467-2021, 2021
Short summary
Short summary
CO2 and H2O fluxes were measured at a newly established eddy covariance site in southern Finland for 2 years from 2018 to 2020. This agricultural grassland site focuses on the conversion from intensive towards more sustainable agricultural management. The first summer experienced prolonged dry periods, and notably larger fluxes were observed in the second summer. The field acted as a net carbon sink during both study years.
Lauri Heiskanen, Juha-Pekka Tuovinen, Aleksi Räsänen, Tarmo Virtanen, Sari Juutinen, Annalea Lohila, Timo Penttilä, Maiju Linkosalmi, Juha Mikola, Tuomas Laurila, and Mika Aurela
Biogeosciences, 18, 873–896, https://doi.org/10.5194/bg-18-873-2021, https://doi.org/10.5194/bg-18-873-2021, 2021
Short summary
Short summary
We studied ecosystem- and plant-community-level carbon (C) exchange between subarctic mire and the atmosphere during 2017–2018. We found strong spatial variation in CO2 and CH4 dynamics between the main plant communities. The earlier onset of growing season in 2018 strengthened the CO2 sink of the ecosystem, but this gain was counterbalanced by a later drought period. Variation in water table level, soil temperature and vegetation explained most of the variation in ecosystem-level C exchange.
Hui Zhang, Eeva-Stiina Tuittila, Aino Korrensalo, Aleksi Räsänen, Tarmo Virtanen, Mika Aurela, Timo Penttilä, Tuomas Laurila, Stephanie Gerin, Viivi Lindholm, and Annalea Lohila
Biogeosciences, 17, 6247–6270, https://doi.org/10.5194/bg-17-6247-2020, https://doi.org/10.5194/bg-17-6247-2020, 2020
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We studied the impact of a stream on peatland microhabitats and CH4 emissions in a northern boreal fen. We found that there were higher water levels, lower peat temperatures, and greater oxygen concentrations close to the stream; these supported the highest biomass production but resulted in the lowest CH4 emissions. Further from the stream, the conditions were drier and CH4 emissions were also low. CH4 emissions were highest at an intermediate distance from the stream.
Cited articles
Aguadé, D., Poyatos, R., Gómez, M., Oliva, J., and Martínez-Vilalta, J.:
The role of defoliation and root rot pathogen infection in driving the mode of drought-related physiological decline in Scots pine (Pinus sylvestris L.), Tree Physiol., 35, 229–242, https://doi.org/10.1093/treephys/tpv005, 2015.
Alm, J., Schulman, L., Walden, J., Nykänen, H., Martikainen, P. J., and Silvola, J.:
Carbon Balance of a Boreal Bog during a Year with an Exceptionally Dry Summer, Ecology, 80, 161–174, https://doi.org/10.1890/0012-9658(1999)080[0161:CBOABB]2.0.CO;2, 1999.
Aubinet, M., Vesala, T., and Papale, D.:
Eddy Covariance: A Practical Guide to Measurement and Data Analysis, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-007-2351-1, 2012.
Aurela, M., Laurila, T., and Tuovinen, J.-P.: Seasonal CO2 balances of a subarctic mire, J. Geophys. Res.-Atmos., 106, 1623–1637, https://doi.org/10.1029/2000JD900481, 2001.
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, 4607, 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, L16119, https://doi.org/10.1029/2004GL020315, 2004.
Aurela, M., Riutta, T., Laurila, T., Tuovinen, J.-P., Vesala, T., Tuittila, E., Rinne, J., Haapanala, S., and Laine, J.:
CO2 exchange of a sedge fen in southern Finland-the impact of a drought period, Tellus B, 59, 826–837, https://doi.org/10.1111/j.1600-0889.2007.00309.x, 2007.
Aurela, M., Lohila, A., Tuovinen, J.-P., Hatakka, J., Penttilä, T., and Laurila, T.:
Carbon dioxide and energy flux measurements in four northern-boreal ecosystems at Pallas, Boreal Environ. Res., 20, 455–473, 2015.
Barton, K.:
MuMIn: Multi-Model Inference, R package version 1.43.17 [code], https://CRAN.R-project.org/package=MuMIn (last access 1 October 2021), 2020.
Bastviken, D., Cole, J., Pace, M., and Tranvik, L.:
Methane emissions from lakes: Dependence of lake characteristics, two regional assessments, and a global estimate, Global Biogeochem. Cy., 18, GB4009, https://doi.org/10.1029/2004GB002238, 2004.
Bond-Lamberty, B., Peckham, S. D., Ahl, D. E., and Gower, S. T.:
Fire as the dominant driver of central Canadian boreal forest carbon balance, Nature, 450, 89–92, https://doi.org/10.1038/nature06272, 2007.
Breiman, L.:
Random forests, Mach. Learn., 45, 5–32, 2001.
Bubier, J. L., Crill, P. M., Moore, T. R., Savage, K., and Varner, R. K.:
Seasonal patterns and controls on net ecosystem CO2 exchange in a boreal peatland complex, Global Biogeochem. Cy., 12, 703–714, https://doi.org/10.1029/98GB02426, 1998.
Bubier, J., Moore, T., Savage, K., and Crill, P.:
A comparison of methane flux in a boreal landscape between a dry and a wet year, Global Biogeochem. Cy., 19, GB1023, https://doi.org/10.1029/2004GB002351, 2005.
Büker, P., Morrissey, T., Briolat, A., Falk, R., Simpson, D., Tuovinen, J.-P., Alonso, R., Barth, S., Baumgarten, M., Grulke, N., Karlsson, P. E., King, J., Lagergren, F., Matyssek, R., Nunn, A., Ogaya, R., Peñuelas, J., Rhea, L., Schaub, M., Uddling, J., Werner, W., and Emberson, L. D.:
DO3SE modelling of soil moisture to determine ozone flux to forest trees, Atmos. Chem. Phys., 12, 5537–5562, https://doi.org/10.5194/acp-12-5537-2012, 2012.
Chapin, F. S., Matson, P. A., and Vitousek, P.:
Principles of Terrestrial Ecosystem Ecology, 2nd Edn., Springer, https://doi.org/10.1007/978-1-4419-9504-9, 2011.
Chen, T. and Guestrin, C.:
Xgboost: A scalable tree boosting system, Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, 13–17 August 2016, San Francisco, California, USA, 785–794, 2016.
Chi, J., Nilsson, M. B., Laudon, H., Lindroth, A., Wallerman, J., Fransson, J. E. S., Kljun, N., Lundmark, T., Ottosson Löfvenius, M., and Peichl, M.:
The Net Landscape Carbon Balance—Integrating terrestrial and aquatic carbon fluxes in a managed boreal forest landscape in Sweden, Glob. Change Biol., 26, 2353–2367, https://doi.org/10.1111/gcb.14983, 2020.
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J., Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg, J. J., and Melack, J.:
Plumbing the global carbon cycle: Integrating inland waters into the terrestrial carbon budget, Ecosystems, 10, 171–184, https://doi.org/10.1007/s10021-006-9013-8, 2007.
Denfeld, B. A., Lupon, A., Sponseller, R. A., Laudon, H., and Karlsson, J.:
Heterogeneous CO2 and CH4 patterns across space and time in a small boreal lake, Inland Waters, 10, 348–359, https://doi.org/10.1080/20442041.2020.1787765, 2020.
Deppe, M., Knorr, K.-H., McKnight, D. M., and Blodau, C.:
Effects of short-term drying and irrigation on CO2 and CH4 production and emission from mesocosms of a northern bog and an alpine fen, Biogeochemistry, 100, 89–103, https://doi.org/10.1007/s10533-010-9406-9, 2010.
Dinsmore, K. J., Drewer, J., Levy, P. E., George, C., Lohila, A., Aurela, M., and Skiba, U. M.:
Growing season CH4 and N2O fluxes from a subarctic landscape in northern Finland; from chamber to landscape scale, Biogeosciences, 14, 799–815, https://doi.org/10.5194/bg-14-799-2017, 2017.
Du, Y., Wang, Y., Su, F., Jiang, J., Wang, C., Yu, M., and Yan, J.:
The response of soil respiration to precipitation change is asymmetric and differs between grasslands and forests, Glob. Change Biol., 26, 6015–6024, https://doi.org/10.1111/gcb.15270, 2020.
Foken, T. and Wichura, B.:
Tools for quality assessment of surface-based flux measurements, Agr. Forest Meteorol., 78, 83–105, https://doi.org/10.1016/0168-1923(95)02248-1, 1996.
Fronzek, S., Carter, T., Räisänen, J., Ruokolainen, L., and Luoto, M.:
Applying probabilistic projections of climate change with impact models: A case study for sub-arctic palsa mires in Fennoscandia, Climatic Change, 99, 515–534, https://doi.org/10.1007/s10584-009-9679-y, 2010.
Gao, Y., Markkanen, T., Aurela, M., Mammarella, I., Thum, T., Tsuruta, A., Yang, H., and Aalto, T.:
Response of water use efficiency to summer drought in a boreal Scots pine forest in Finland, Biogeosciences, 14, 4409–4422, https://doi.org/10.5194/bg-14-4409-2017, 2017.
Guo, M., Zhuang, Q., Tan, Z., Shurpali, N., Juutinen, S., Kortelainen, P., and Martikainen, P. J.:
Rising methane emissions from boreal lakes due to increasing ice-free days, Environ. Res. Lett., 15, 064008, https://doi.org/10.1088/1748-9326/ab8254, 2020.
Hadden, D. and Grelle, A.:
Net CO2 emissions from a primary boreo-nemoral forest over a 10 year period, Forest Ecol. Manag., 398, 164–173, https://doi.org/10.1016/j.foreco.2017.05.008, 2017.
Hargreaves, K. J., Fowler, D., Pitcairn, C. E. R., and Aurela, M.:
Annual methane emission from Finnish mires estimated from eddy covariance campaign measurements, Theor. Appl. Climatol., 70, 203–213, https://doi.org/10.1007/s007040170015, 2001.
Heiskanen, L., Tuovinen, J.-P., Räsänen, A., Virtanen, T., Juutinen, S., Lohila, A., Penttilä, T., Linkosalmi, M., Mikola, J., Laurila, T., and Aurela, M.:
Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons, Biogeosciences, 18, 873–896, https://doi.org/10.5194/bg-18-873-2021, 2021.
Heiskanen, L., Tuovinen, J-P., Vekuri, H., Räsänen, A., Virtanen, T., Juutinen, S., Lohila, A., Mikola, J., and Aurela, M.:
Meteorological responses of carbon dioxide and methane fluxes in the terrestrial and aquatic ecosystems of a subarctic landscape (Version v2), Zenodo [data set], https://doi.org/10.5281/zenodo.7437333, 2022.
Irvin, J., Zhou, S., McNicol, G., Lu, F., Liu, V., Fluet-Chouinard, E., Ouyang, Z., Knox, S. H., Lucas-Moffat, A., Trotta, C., Papale, D., Vitale, D., Mammarella, I., Alekseychik, P., Aurela, M., Avati, A., Baldocchi, D., Bansal, S., Bohrer, G., Campbell, D. I., Chen, J., Chu, H., Dalmagro, H. J., Delwiche, K. B., Desai, A. R., Euskirchen, E., Feron, S., Goeckede, M., Heimann, M., Helbig, M., Helfter, C., Hemes, K. S., Hirano, T., Iwata, H., Jurasinski, G., Kalhori, A., Kondrich, A., Lai, D. Y. F., Lohila, A., Malhotra, A., Merbold, L., Mitra, B., Ng, A., Nilsson, M. B., Noormets, A., Peichl, M., Rey-Sanchez, A. C., Richardson, A. D., Runkle, B. R. K., Schäfer, K. V. R., Sonnentag, O., Stuart-Haëntjens, E., Sturtevant, C., Ueyama, M., Valach, A. C., Vargas, R., Vourlitis, G. L., Ward, E. J., Xhuan Wong, G., Zona, D., Alberto, Ma, C. R., Billesbach, D. P., Celis, G., Dolman, H., Friborg, T., Fuchs, K., Gogo, S., Gondwe, M. J., Goodrich, J. P., Gottschalk, P., Hörtnagl, L., Jacotot, A., Koebsch, F., Kasak, K., Maier, R., Morin, T. H., Nemitz, E., Oechel, W. C., Oikawa, P. Y., Ono, K., Sachs, T., Sakabe, A., Schuur, E. A., Shortt, R., Sullivan, R. C., Szutu, D. J., Tuittila, E.-S., Varlagin, A., Verfaillie, J. G., Wille, C., Windham-Myers, L., Poulter, B., and Jackson, R. B.:
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands, Agr. Forest Meteorol., 308, 108528, https://doi.org/10.1016/j.agrformet.2021.108528, 2021.
Jammet, M., Dengel, S., Kettner, E., Parmentier, F.-J. W., Wik, M., Crill, P., and Friborg, T.:
Year-round CH4 and CO2 flux dynamics in two contrasting freshwater ecosystems of the subarctic, Biogeosciences, 14, 5189–5216, https://doi.org/10.5194/bg-14-5189-2017, 2017.
Jansen, J., Thornton, B. F., Cortés, A., Snöälv, J., Wik, M., MacIntyre, S., and Crill, P. M.:
Drivers of diffusive CH4 emissions from shallow subarctic lakes on daily to multi-year timescales, Biogeosciences, 17, 1911–1932, https://doi.org/10.5194/bg-17-1911-2020, 2020.
Jones, H. G.:
Plants and Microclimate: A Quantitative Approach to Environmental Plant Physiology, Cambridge University Press, West Nyack, https://doi.org/10.1017/CBO9780511845727, 2013.
Juutinen, S., Väliranta, M., Kuutti, V., Laine, A. M., Virtanen, T., Seppä, H., Weckström, J., and Tuittila, E-S.:
Short-term and long-term carbon dynamics in a northern peatland-stream-lake continuum: A catchment approach, J. Geophys. Res.-Biogeo., 118, 171–183, https://doi.org/10.1002/jgrg.20028, 2013.
Kätterer, T., Reichstein, M., Andrén, O., and Lomander, A.:
Temperature dependence of organic matter decomposition: a critical review using literature data analyzed with different models, Biol. Fert. Soils, 27, 258–262, https://doi.org/10.1007/s003740050430, 1998.
Kljun, N., Black, T. A., Griffis, T. J., Barr, A. G., Gaumont-Guay, D., Morgenstern, K., McCaughey, J. H., and Nesic, Z.:
Response of net ecosystem productivity of three boreal forest stands to drought, Ecosystems, 10, 1039–1055, https://doi.org/10.1007/s10021-007-9088-x, 2007.
Kortelainen, P., Rantakari, M., Huttunen, J. T., Mattsson, T., Alm, J., Juutinen, S., Larmola, T., Silvola, J., and Martikainen, P. J.: Sediment respiration and lake trophic state are important predictors of large CO2 evasion from small boreal lakes, Glob. Change Biol., 12, 1554–1567, https://doi.org/10.1111/j.1365-2486.2006.01167.x, 2006.
Kou, D., Virtanen, T., Treat, C. C., Tuovinen, J.-P., Räsänen, A., Juutinen, S., Mikola, J., Aurela, M., Heiskanen, L., Heikkilä, M., Weckström, J., Juselius, T., Piilo, S. R., Deng, J., Zhang, Y., Chaudhary, N., Huang, C., Väliranta, M., Biasi, C., Liu, X., Guo, M., Zhuang, Q., Korhola, A., and Shurpali, N. J.: Peatland heterogeneity impacts on regional carbon flux and its radiative effect within a boreal landscape, J. Geophys. Res.-Biogeo., 127, e2021JG006774, https://doi.org/10.1029/2021JG006774, 2022.
Kulmala, L., Pumpanen, J., Kolari, P., Dengel, S., Berninger, F., Köster, K., Matkala, L., Vanhatalo, A., Vesala, T., and Bäck, J.: Inter- and intra-annual dynamics of photosynthesis differ between forest floor vegetation and tree canopy in a subarctic Scots pine stand, Agr. Forest Meteorol., 271, 1–11, 2019.
Laurila, T., Soegaard, H., Lloyd, C. R., Aurela, M., Tuovinen, J.-P., and Nordstroem, C.:
Seasonal variations of net CO2 exchange in European Arctic ecosystems, Theor. Appl. Climatol., 70, 183–201, https://doi.org/10.1007/s007040170014, 2001.
Laurila, T., Tuovinen, J.-P., Lohila, A., Hatakka, J., Aurela, M., Thum, T., Pihlatie, M., Rinne, J., and Vesala, T.:
Measuring methane emissions from a landfill using a cost effective micrometeorological method, Geophys. Res. Lett., 32, LI9808, https://doi.org/10.1029/2005GL023462, 2005.
Le Mer, J. and Roger, P.:
Production, oxidation, emission and consumption of methane by soils: A review, Eur. J. Soil Biol., 37, 25–50, https://doi.org/10.1016/S1164-5563(01)01067-6, 2001.
Lehtonen, I. and Pirinen, P.:
2018: An exceptionally warm thermal growing season in Finland, in: FMI's Climate Bulletin: Research Letters, Finnish Meteorological Institute, Helsinki, https://doi.org/10.35614/ISSN-2341-6408-IK-2019-03-RL, 2019a.
Lehtonen, I. and Pirinen, P.:
2018: An exceptionally dry thermal growing season in Finland, in: FMI's Climate Bulletin: Research Letters, Finnish Meteorological Institute, Helsinki, https://doi.org/10.35614/ISSN-2341-6408-IK-2019-04-RL, 2019b.
Lindroth, A., Lund, M., Nilsson, M., Aurela, M., Christensen, T. R., Laurila, T., Rinne, J., Riutta, T., Sagerfors, J., StröM, L., Tuovinen, J., and Vesala, T.:
Environmental controls on the CO2 exchange in north European mires, Tellus B, 59, 812–825, https://doi.org/10.1111/j.1600-0889.2007.00310.x, 2007.
Lindroth, A., Lagergren, F., Aurela, M., Bjarnadottir, B., Christensen, T., Dellwik, E., Grelle, A., Ibrom, A., Johansson, T., Lankreijer, H., Launiainen, S., Laurila, T., Mölder, M., Nikinmaa, E., Pilegaard, K., Sigurdsson, B. D., and Vesala, T.:
Leaf area index is the principal scaling parameter for both gross photosynthesis and ecosystem respiration of Northern deciduous and coniferous forests, Tellus B, 60, 129–142, https://doi.org/10.3402/tellusb.v60i2.16909, 2008.
Lindroth, A., Holst, J., Linderson, M., Aurela, M., Biermann, T., Heliasz, M., Chi, J., Ibrom, A., Kolari, P., Klemedtsson, L., Krasnova, A., Laurila, T., Lehner, I., Lohila, A., Mammarella, I., Mölder, M., Löfvenius, M. O., Peichl, M., Pilegaard, K., Soosar, K., Vesala, T., Vestin, P., Weslien, P., and Nilsson, M.:
Effects of drought and meteorological forcing on carbon and water fluxes in Nordic forests during the dry summer of 2018, Philos. T. R. Soc. Lon. B, 375, 20190516, https://doi.org/10.1098/rstb.2019.0516, 2020.
Linkosalmi, M., Tuovinen, J.-P., Nevalainen, O., Peltoniemi, M., Taniş, C. M., Arslan, A. N., Rainne, J., Lohila, A., Laurila, T., and Aurela, M.:
Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data, Biogeosciences, 19, 4747–4765, https://doi.org/10.5194/bg-19-4747-2022, 2022.
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., Tuovinen, J.-P., Hatakka, J., Aurela, M., Vuorenmaa, J., Haakana, M., and Laurila, T.:
Carbon dioxide and energy fluxes over a northern boreal lake, Boreal Environ. Res., 20, 474–488, 2015.
López Bellido, J., Tulonen, T., Kankaala, P., and Ojala, A.: CO2 and CH4 fluxes during spring and autumn mixing periods in a boreal lake (Pääjärvi, southern Finland), J. Geophys. Res., 114, G04007, https://doi.org/10.1029/2009jg000923, 2009.
Maanavilja, L., Riutta, T., Aurela, M., Laurila, T., and Tuittila, E.-S.:
Spatial variation in CO2 exchange at a northern aapa mire, Biogeochemistry, 104, 325–345, https://doi.org/10.1007/s10533-010-9505-7, 2011.
Martín-Gómez, P., Aguilera, M., Pemán, J., Gil-Pelegrín, E., and Ferrio, J. P.:
Contrasting ecophysiological strategies related to drought: the case of a mixed stand of Scots pine (Pinus sylvestris) and a submediterranean oak (Quercus subpyrenaica), Tree Physiol., 37, 1478–1492, https://doi.org/10.1093/treephys/tpx101, 2017.
Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T. (Eds.):
Global Warming of 1.5 ∘C. An IPCC Special Report on the impacts of global warming of 1.5 ∘C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, World Meteorological Organization, Geneva, Switzerland, https://doi.org/10.1017/9781009157940, 2018.
Matkala, L., Kulmala, L., Kolari, P., Aurela, M., and Bäck, J.:
Resilience of subarctic Scots pine and Norway spruce forests to extreme weather events. Agr. Forest Meteorol., 296, 108239, https://doi.org/10.1016/j.agrformet.2020.108239, 2021.
McElligott, K. M., Seiler, J. R., and Strahm, B. D.:
The Impact of Water Content on Sources of Heterotrophic Soil Respiration, Forests, 8, 299, https://doi.org/10.3390/f8080299, 2017.
McMillen, R. T.:
An eddy correlation technique with extended applicability to non-simple terrain, Bound.-Lay. Meteorol., 43, 231–245, https://doi.org/10.1007/BF00128405, 1988.
Mekonnen, Z. A., Riley, W. J., Berner, L. T., Bouskill, N. J., Torn, M. S., Iwahana, G., Breen, A. L., Myers-Smith, I. H., García Criado, M., Liu, Y., Euskirchen, E. S., Goetz, S. J., Mack, M. C., and Grant, R. F.:
Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance, Environ. Res. Lett., 16, 053001, https://doi.org/10.1088/1748-9326/abf28b, 2021.
Meyer, N., Welp, G., and Amelung, W.:
The temperature sensitivity (Q10) of soil respiration: controlling factors and spatial prediction at regional scale based on environmental soil classes, Global Biogeochem. Cyc., 32, 306–323, https://doi.org/10.1002/2017GB005644, 2018.
Montagnani, L., Grünwald, T., Kowalski, A., Mammarella, I., Merbold, L., Metzger, S., Sedlák, P., and Siebicke, L.:
Estimating the storage term in eddy covariance measurements: the ICOS methodology, Int. Agrophys., 32, 551–567, https://doi.org/10.1515/intag-2017-0037, 2018.
Moyano, F. E., Vasilyeva, N., Bouckaert, L., Cook, F., Craine, J., Curiel Yuste, J., Don, A., Epron, D., Formanek, P., Franzluebbers, A., Ilstedt, U., Kätterer, T., Orchard, V., Reichstein, M., Rey, A., Ruamps, L., Subke, J.-A., Thomsen, I. K., and Chenu, C.:
The moisture response of soil heterotrophic respiration: interaction with soil properties, Biogeosciences, 9, 1173–1182, https://doi.org/10.5194/bg-9-1173-2012, 2012.
Muilu-Mäkelä, R., Vuosku, J., Läärä, E., Saarinen, M., Heiskanen, J., Häggman, H., and Sarjala, T.:
Water availability influences morphology, mycorrhizal associations, PSII efficiency and polyamine metabolism at early growth phase of Scots pine seedlings, Plant Physiol. Bioch., 88, 70–81, https://doi.org/10.1016/j.plaphy.2015.01.009, 2015.
Neubauer, S. C.:
Global Warming Potential Is Not an Ecosystem Property, Ecosystems, 24, 2079–2089, https://doi.org/10.1007/s10021-021-00631-x, 2021.
Neubauer, S. C. and Megonigal, J. P.:
Moving Beyond Global Warming Potentials to Quantify the Climatic Role of Ecosystems, Ecosystems, 18, 1000–1013, https://doi.org/10.1007/s10021-015-9879-4, 2015.
Orchard, V. A. and Cook, F. J.:
Relationship between soil respiration and soil moisture, Soil Biol. Biochem., 15, 447–453, 1983.
Piilo, S. R., Korhola, A., Heiskanen, L., Tuovinen, J.-P., Aurela, M., Juutinen, S., Marttila, H., Saari, M., Tuittila, E.-S., Turunen, J., and Väliranta, M. M.:
Spatially varying peatland initiation, Holocene development and estimated radiative forcing within a subarctic fen, Quaternary Sci. Rev., 248, 106596, https://doi.org/10.1016/j.quascirev.2020.106596, 2020.
Pirinen, P., Simola, H., Aalto, J., Kaukoranta, J.-P., Karlsson, P., and Ruuhela, R.:
Climatological Statistics of Finland 1981–2010, Reports 2012:1, Finnish Meteorological Institute, Helsinki, Finland, 2012.
R Core Team:
R: A language and environment for statistical computing, R Foundation for Statistical Computing [code], Vienna, Austria, https://www.R-project.org, last access: 1 October 2021.
Räsänen, A. and Virtanen, T.:
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes, Remote Sens. Environ., 230, 111207, https://doi.org/10.1016/j.rse.2019.05.026, 2019.
Räsänen, A., Juutinen, S., Tuittila, E-S., Aurela, M., and Virtanen, T.:
Comparing ultra-high spatial resolution remote-sensing methods in mapping peatland vegetation, J. Veg. Sci., 30, 1016–1026, https://doi.org/10.1111/jvs.12769, 2019.
Rasilo, T., Prairie, Y. T., and del Giorgio, P. A.:
Large-scale patterns in summer diffusive CH4 fluxes across boreal lakes, and contribution to diffusive C emissions, Glob. Change Biol., 21, 1124–1139, https://doi.org/10.1111/gcb.12741, 2015.
Richardson, A. D., Mahecha, M. D., Falge, E., Kattge, J., Moffat, A. M., Papale, D., Reichstein, M., Stauch, V. J., Braswell, B. H., Churkina, G., Kruijt, B., and Hollinger, D. Y.:
Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals, Agr. Forest Meteorol., 148, 38–50, 2008.
Rinne, J., Tuovinen, J.-P., Klemedtsson, L., Aurela, M., Holst, J., Lohila, A., Weslien, P., Vestin, P., Łakomiec, P., Peichl, M., Tuittila, E.-S., Heiskanen, L., Laurila, T., Li, X., Alekseychik, P., Mammarella, I., Ström, L., Crill, P., and Nilsson, M. B.:
Effect of the 2018 European drought on methane and carbon dioxide exchange of northern mire ecosystems, Philos. T. R. Soc., 375, B37520190517, https://doi.org/10.1098/rstb.2019.0517, 2020.
Sagerfors, J., Lindroth, A., Grelle, A., Klemedtsson, L., Weslien, P., and Nilsson, M.:
Annual CO2 exchange between a nutrient-poor, minerotrophic, boreal mire and the atmosphere, J. Geophys. Res., 113, G01001, https://doi.org/10.1029/2006JG000306, 2008.
Sepulveda-Jauregui, A., Walter Anthony, K. M., Martinez-Cruz, K., Greene, S., and Thalasso, F.:
Methane and carbon dioxide emissions from 40 lakes along a north–south latitudinal transect in Alaska, Biogeosciences, 12, 3197–3223, https://doi.org/10.5194/bg-12-3197-2015, 2015.
Silfver, T., Heiskanen, L., Aurela, M., Myller, K., Karhu, K., Meyer, N., Tuovinen, J-P., Oksanen, E., Rousi, M., and Mikola, J.:
Insect herbivory dampens subarctic birch forest C sink response to warming, Nat. Commun. 11, 2529, https://doi.org/10.1038/s41467-020-16404-4, 2020.
Strack, M. and Waddington, J. M.:
Response of peatland carbon dioxide and methane fluxes to a water table drawdown experiment, Global Biogeochem. Cy., 21, GB1007, https://doi.org/10.1029/2006GB002715, 2007.
Tan, Z., Zhuang, Q., and Anthony, K. W.:
Modeling methane emissions from arctic lakes: Model development and site-level study, J. Adv. Model. Earth Sy., 7, 459–483, https://doi.org/10.1002/2014ms000344, 2015.
Tan, Z., Zhuang, Q., Shurpali, N. J., Marushchak, M. E., Biasi, C., Eugster, W., and Anthony, K. W.:
Modeling CO2 emissions from Arctic lakes: Model development and site-level study. J. Adv. Model. Earth Sy., 9, 2190–2213 https://doi.org/10.1002/2017ms001028, 2017.
Thornton, B. F., Wik, M., and Crill, P. M.:
Climate-forced changes in available energy and methane bubbling from subarctic lakes, Geophys. Res. Lett., 42, 1936–1942, https://doi.org/10.1002/2015GL063189, 2015.
Tranvik, L. J., Downing, J. A., Cotner, J. B., Loiselle, S. A., Striegl, R. G., Ballatore, T. J., Dillon, P., Knoll, L. B., Kutser, T., Larsen, S., Laurion, I., Leech, D. M., McAllister, S. L., McKnight, D. M., Melack, J., Overholt, E., Porter, J. A., Prairie, Y. T., Renwick, W. H., Roland, F., Sherman, B. S., Schindler, D. W., Sobek, S., Tremblay, A., Vanni, M. J., Verschoor, A. M., von Wachenfeldt, E., and Weyhenmeyer, G.:
Lakes and Reservoirs as Regulators of Carbon Cycling and Climate, Limnol. Oceanogr., 54, 2298–2314, https://doi.org/10.4319/lo.2009.54.6_part_2.2298, 2009.
Venables, W. N. and Ripley, B. D.:
Modern Applied Statistics with S, 4th Edn., Springer, New York, https://doi.org/10.1007/978-0-387-21706-2, 2002.
Vicente-Serrano, S., Begueria, S., and Lopez-Moreno, J.:
A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718, https://doi.org/10.1175/2009JCLI2909.1, 2010.
Virkkala, A. M., Aalto, J., Rogers, B. M., Tagesson, T., Treat, C. C., Natali, S. M., Watts, J. D., Potter, S., Lehtonen, A., Mauritz, M., Schuur, E. A. G., Kochendorfer, J., Zona, D., Oechel, W., Kobayashi, H., Humphreys, E., Goeckede, M., Iwata, H., Lafleur, P. M., Euskirchen, E. S., Bokhorst, S., Marushchak, M., Martikainen, P. J., Elberling, B., Voigt, C., Biasi, C., Sonnentag, O., Parmentier, F.-J. W., Ueyama, M., Celis, G., St. Louis, V. L., Emmerton, C. A., Peichl, M., Chi, J., Järveoja, J., Nilsson, M. B., Oberbauer, S. F., Torn, M. S., Park, S. J., Dolman, H., Mammarella, I., Chae, N., Poyatos, R., López-Blanco, E., Christensen, T. R., Kwon, M. J., Sachs, T., Holl, D., and Luoto, M.:
Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties, Glob. Change Biol., 27, 4040–4059, https://doi.org/10.1111/gcb.15659, 2021.
Walter, K. M., Zimov, S. A., Chanton, J. P., Verbyla, D., and Chapin III, F. S.:
Methane bubbling from Siberian thaw lakes as a positive feedback to climate warming, Nature, 443, 71–75, https://doi.org/10.1038/nature05040, 2006.
White, J. R., Shannon, R. D., Weltzin, J. F., Pastor, J., and Bridgham, S. D.:
Effects of soil warming and drying on methane cycling in a northern peatland mesocosm study, J. Geophys. Res.-Biogeo., 113, G00A06, https://doi.org/10.1029/2007JG000609, 2008.
Whiting, G. J.:
CO2 exchange in the Hudson Bay lowlands: Community characteristics and multispectral reflectance properties, J. Geophys. Res., 99, 1519–1528, https://doi.org/10.1029/93JD01833, 1994.
Wik, M., Crill, P. M., Varner, R. K., and Bastviken, D.:
Multiyear measurements of ebullitive methane flux from three subarctic lakes, J. Geophys. Res.-Biogeo., 118, 1307–1321, https://doi.org/10.1002/jgrg.20103, 2013.
Wik, M., Johnson, J. E., Crill, P. M., DeStasio, J. P., Erickson, L., Halloran, M. J., Fahnestock, M. F., Crawford, M. K., Phillips, S. C., and Varner, R. K.:
Sediment Characteristics and Methane Ebullition in Three Subarctic Lakes, Journal of geophysical research, Biogeosciences, 123, 2399–2411, https://doi.org/10.1029/2017JG004298, 2018.
Zhu, S., Clement, R., McCalmont, J., Davies, C. A., and Hill, T.:
Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes, Agr. Forest Meteorol., 314, 108777, https://doi.org/10.1016/j.agrformet.2021.108777, 2022.
Short summary
We measured and modelled the CO2 and CH4 fluxes of the terrestrial and aquatic ecosystems of the subarctic landscape for 2 years. The landscape was an annual CO2 sink and a CH4 source. The forest had the largest contribution to the landscape-level CO2 sink and the peatland to the CH4 emissions. The lakes released 24 % of the annual net C uptake of the landscape back to the atmosphere. The C fluxes were affected most by the rainy peak growing season of 2017 and the drought event in July 2018.
We measured and modelled the CO2 and CH4 fluxes of the terrestrial and aquatic ecosystems of the...
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