Articles | Volume 12, issue 23
https://doi.org/10.5194/bg-12-6853-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-6853-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Dec 2015
Research article |
| 01 Dec 2015
Impacts of climate and reclamation on temporal variations in CH4 emissions from different wetlands in China: from 1950 to 2010
T. Li
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Q. Zhang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Anhui Climate Center, Hefei 230031, China
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
M. Raivonen
Department of Physics, P.O. Box 48, 00014 University of Helsinki, Finland
T. Vesala
Department of Physics, P.O. Box 48, 00014 University of Helsinki, Finland
Department of Forest Sciences, P.O. Box 27, 00014 University of Helsinki, Finland
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Eyrún Gyða Gunnlaugsdóttir, Angelika Kübert, Xuefei Li, Timo Vesala, Aino Korrensalo, Elisa Männistö, Eeva-Stiina Tuittila, Pavel Alekseychik, and Ivan Mammarella
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Mengze Li, Robert B. Jackson, Marielle Saunois, Philippe Ciais, Ben Poulter, Josep G. Canadell, Prabir K. Patra, Hanqin Tian, Zhen Zhang, Etienne Fluet-Chouinard, Zutao Ouyang, Ting Zhang, David J. Beerling, Dmitry A. Belikov, Philippe Bousquet, Danilo Custodio, Naveen Chandra, Xinyu Dou, Nicola Gedney, Peter O. Hopcroft, Alison M. Hoyt, Kazuhito Ichii, Akihito Ito, Atul K. Jain, Katherine Jensen, Fortunat Joos, Thomas Kleinen, Masayuki Kondo, Fa Li, Tingting Li, Xiangyu Liu, Shamil Maksyutov, Avni Malhotra, Adrien Martinez, Kyle McDonald, Joe R. Melton, Jurek Müller, Yosuke Niwa, Shufen Pan, Shushi Peng, Changhui Peng, Zhangcai Qin, Peter Raymond, William Riley, Arjo Segers, Rona L. Thompson, Aki Tsuruta, Yi Xi, Kunxiaojia Yuan, Wenxin Zhang, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
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Atmos. Meas. Tech., 18, 3407–3424, https://doi.org/10.5194/amt-18-3407-2025, https://doi.org/10.5194/amt-18-3407-2025, 2025
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Pengfei Han, Ning Zeng, Bo Yao, Wen Zhang, Weijun Quan, Pucai Wang, Ting Wang, Minqiang Zhou, Qixiang Cai, Yuzhong Zhang, Ruosi Liang, Wanqi Sun, and Shengxiang Liu
Atmos. Chem. Phys., 25, 4965–4988, https://doi.org/10.5194/acp-25-4965-2025, https://doi.org/10.5194/acp-25-4965-2025, 2025
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Methane (CH4) is a potent greenhouse gas. Northern China contributes a large proportion of CH4 emissions, yet large observation gaps exist. Here we compiled a comprehensive dataset, which is publicly available, that includes ground-based, satellite-based, inventory, and modeling results to show the CH4 concentrations, enhancements, and spatial–temporal variations. The data can benefit the research community and policy-makers for future observations, atmospheric inversions, and policy-making.
Marielle Saunois, Adrien Martinez, Benjamin Poulter, Zhen Zhang, Peter A. Raymond, Pierre Regnier, Josep G. Canadell, Robert B. Jackson, Prabir K. Patra, Philippe Bousquet, Philippe Ciais, Edward J. Dlugokencky, Xin Lan, George H. Allen, David Bastviken, David J. Beerling, Dmitry A. Belikov, Donald R. Blake, Simona Castaldi, Monica Crippa, Bridget R. Deemer, Fraser Dennison, Giuseppe Etiope, Nicola Gedney, Lena Höglund-Isaksson, Meredith A. Holgerson, Peter O. Hopcroft, Gustaf Hugelius, Akihiko Ito, Atul K. Jain, Rajesh Janardanan, Matthew S. Johnson, Thomas Kleinen, Paul B. Krummel, Ronny Lauerwald, Tingting Li, Xiangyu Liu, Kyle C. McDonald, Joe R. Melton, Jens Mühle, Jurek Müller, Fabiola Murguia-Flores, Yosuke Niwa, Sergio Noce, Shufen Pan, Robert J. Parker, Changhui Peng, Michel Ramonet, William J. Riley, Gerard Rocher-Ros, Judith A. Rosentreter, Motoki Sasakawa, Arjo Segers, Steven J. Smith, Emily H. Stanley, Joël Thanwerdas, Hanqin Tian, Aki Tsuruta, Francesco N. Tubiello, Thomas S. Weber, Guido R. van der Werf, Douglas E. J. Worthy, Yi Xi, Yukio Yoshida, Wenxin Zhang, Bo Zheng, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Earth Syst. Sci. Data, 17, 1873–1958, https://doi.org/10.5194/essd-17-1873-2025, https://doi.org/10.5194/essd-17-1873-2025, 2025
Short summary
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Methane (CH4) is the second most important human-influenced greenhouse gas in terms of climate forcing after carbon dioxide (CO2). A consortium of multi-disciplinary scientists synthesise and update the budget of the sources and sinks of CH4. This edition benefits from important progress in estimating emissions from lakes and ponds, reservoirs, and streams and rivers. For the 2010s decade, global CH4 emissions are estimated at 575 Tg CH4 yr-1, including ~65 % from anthropogenic sources.
Lukas Kohl, Petri Kiuru, Marjo Palviainen, Maarit Raivonen, Markku Koskinen, Mari Pihlatie, and Annamari Laurén
Biogeosciences, 22, 1711–1727, https://doi.org/10.5194/bg-22-1711-2025, https://doi.org/10.5194/bg-22-1711-2025, 2025
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We present an assay to illuminate heterogeneity in biogeochemical transformations within peat samples. For this, we injected isotope-labeled acetate into peat cores and monitored the release of label-derived gases, which we compared to microtomography images. The fraction of label converted to CO2 and the rapidness of this conversion were linked to injection depth and air-filled porosity.
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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Bo Fang, Nana Wei, Weixiong Zhao, Nana Yang, Hao Zhou, Heng Zhang, Jiarong Li, Weijun Zhang, Yanyu Lu, Zhu Zhu, and Yue Liu
Atmos. Meas. Tech., 18, 1243–1256, https://doi.org/10.5194/amt-18-1243-2025, https://doi.org/10.5194/amt-18-1243-2025, 2025
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Maria K. Tenkanen, Aki Tsuruta, Hugo Denier van der Gon, Lena Höglund-Isaksson, Antti Leppänen, Tiina Markkanen, Ana Maria Roxana Petrescu, Maarit Raivonen, Hermanni Aaltonen, and Tuula Aalto
Atmos. Chem. Phys., 25, 2181–2206, https://doi.org/10.5194/acp-25-2181-2025, https://doi.org/10.5194/acp-25-2181-2025, 2025
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Accurate national methane (CH4) emission estimates are essential for tracking progress towards climate goals. This study compares estimates from Finland, which use different methods and scales, and shows how well a global model estimates emissions within a country. The bottom-up estimates vary a lot, but constraining them with atmospheric CH4 measurements brought the estimates closer together. We also highlight the importance of quantifying natural emissions alongside anthropogenic emissions.
Tuula Aalto, Aki Tsuruta, Jarmo Mäkelä, Jurek Müller, Maria Tenkanen, Eleanor Burke, Sarah Chadburn, Yao Gao, Vilma Mannisenaho, Thomas Kleinen, Hanna Lee, Antti Leppänen, Tiina Markkanen, Stefano Materia, Paul A. Miller, Daniele Peano, Olli Peltola, Benjamin Poulter, Maarit Raivonen, Marielle Saunois, David Wårlind, and Sönke Zaehle
Biogeosciences, 22, 323–340, https://doi.org/10.5194/bg-22-323-2025, https://doi.org/10.5194/bg-22-323-2025, 2025
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Wetland methane responses to temperature and precipitation were studied in a boreal wetland-rich region in northern Europe using ecosystem models, atmospheric inversions, and upscaled flux observations. The ecosystem models differed in their responses to temperature and precipitation and in their seasonality. However, multi-model means, inversions, and upscaled fluxes had similar seasonality, and they suggested co-limitation by temperature and precipitation.
Zhen Zhang, Benjamin Poulter, Joe R. Melton, William J. Riley, George H. Allen, David J. Beerling, Philippe Bousquet, Josep G. Canadell, Etienne Fluet-Chouinard, Philippe Ciais, Nicola Gedney, Peter O. Hopcroft, Akihiko Ito, Robert B. Jackson, Atul K. Jain, Katherine Jensen, Fortunat Joos, Thomas Kleinen, Sara H. Knox, Tingting Li, Xin Li, Xiangyu Liu, Kyle McDonald, Gavin McNicol, Paul A. Miller, Jurek Müller, Prabir K. Patra, Changhui Peng, Shushi Peng, Zhangcai Qin, Ryan M. Riggs, Marielle Saunois, Qing Sun, Hanqin Tian, Xiaoming Xu, Yuanzhi Yao, Yi Xi, Wenxin Zhang, Qing Zhu, Qiuan Zhu, and Qianlai Zhuang
Biogeosciences, 22, 305–321, https://doi.org/10.5194/bg-22-305-2025, https://doi.org/10.5194/bg-22-305-2025, 2025
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This study assesses global methane emissions from wetlands between 2000 and 2020 using multiple models. We found that wetland emissions increased by 6–7 Tg CH4 yr-1 in the 2010s compared to the 2000s. Rising temperatures primarily drove this increase, while changes in precipitation and CO2 levels also played roles. Our findings highlight the importance of wetlands in the global methane budget and the need for continuous monitoring to understand their impact on climate change.
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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Drainage of boreal peatlands strongly influences soil methane fluxes, with important implications for climatic impacts. Here we simulate methane fluxes in forestry-drained and restored peatlands during the 21st century. We found that restoration turned peatlands into a source of methane, but the magnitude varied regionally. In forests, changes in the water table level influenced methane fluxes, and in general, the sink was weaker under rotational forestry compared to continuous cover forestry.
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.
Jalisha T. Kallingal, Johan Lindström, Paul A. Miller, Janne Rinne, Maarit Raivonen, and Marko Scholze
Geosci. Model Dev., 17, 2299–2324, https://doi.org/10.5194/gmd-17-2299-2024, https://doi.org/10.5194/gmd-17-2299-2024, 2024
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By unlocking the mysteries of CH4 emissions from wetlands, our work improved the accuracy of the LPJ-GUESS vegetation model using Bayesian statistics. Via assimilation of long-term real data from a wetland, we significantly enhanced CH4 emission predictions. This advancement helps us better understand wetland contributions to atmospheric CH4, which are crucial for addressing climate change. Our method offers a promising tool for refining global climate models and guiding conservation efforts
Markku Kulmala, Anna Lintunen, Hanna Lappalainen, Annele Virtanen, Chao Yan, Ekaterina Ezhova, Tuomo Nieminen, Ilona Riipinen, Risto Makkonen, Johanna Tamminen, Anu-Maija Sundström, Antti Arola, Armin Hansel, Kari Lehtinen, Timo Vesala, Tuukka Petäjä, Jaana Bäck, Tom Kokkonen, and Veli-Matti Kerminen
Atmos. Chem. Phys., 23, 14949–14971, https://doi.org/10.5194/acp-23-14949-2023, https://doi.org/10.5194/acp-23-14949-2023, 2023
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To be able to meet global grand challenges, we need comprehensive open data with proper metadata. In this opinion paper, we describe the SMEAR (Station for Measuring Earth surface – Atmosphere Relations) concept and include several examples (cases), such as new particle formation and growth, feedback loops and the effect of COVID-19, and what has been learned from these investigations. The future needs and the potential of comprehensive observations of the environment are summarized.
Matthew J. McGrath, Ana Maria Roxana Petrescu, Philippe Peylin, Robbie M. Andrew, Bradley Matthews, Frank Dentener, Juraj Balkovič, Vladislav Bastrikov, Meike Becker, Gregoire Broquet, Philippe Ciais, Audrey Fortems-Cheiney, Raphael Ganzenmüller, Giacomo Grassi, Ian Harris, Matthew Jones, Jürgen Knauer, Matthias Kuhnert, Guillaume Monteil, Saqr Munassar, Paul I. Palmer, Glen P. Peters, Chunjing Qiu, Mart-Jan Schelhaas, Oksana Tarasova, Matteo Vizzarri, Karina Winkler, Gianpaolo Balsamo, Antoine Berchet, Peter Briggs, Patrick Brockmann, Frédéric Chevallier, Giulia Conchedda, Monica Crippa, Stijn N. C. Dellaert, Hugo A. C. Denier van der Gon, Sara Filipek, Pierre Friedlingstein, Richard Fuchs, Michael Gauss, Christoph Gerbig, Diego Guizzardi, Dirk Günther, Richard A. Houghton, Greet Janssens-Maenhout, Ronny Lauerwald, Bas Lerink, Ingrid T. Luijkx, Géraud Moulas, Marilena Muntean, Gert-Jan Nabuurs, Aurélie Paquirissamy, Lucia Perugini, Wouter Peters, Roberto Pilli, Julia Pongratz, Pierre Regnier, Marko Scholze, Yusuf Serengil, Pete Smith, Efisio Solazzo, Rona L. Thompson, Francesco N. Tubiello, Timo Vesala, and Sophia Walther
Earth Syst. Sci. Data, 15, 4295–4370, https://doi.org/10.5194/essd-15-4295-2023, https://doi.org/10.5194/essd-15-4295-2023, 2023
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Accurate estimation of fluxes of carbon dioxide from the land surface is essential for understanding future impacts of greenhouse gas emissions on the climate system. A wide variety of methods currently exist to estimate these sources and sinks. We are continuing work to develop annual comparisons of these diverse methods in order to clarify what they all actually calculate and to resolve apparent disagreement, in addition to highlighting opportunities for increased understanding.
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.
Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Guido R. van der Werf, Chris Wilson, and Sönke Zaehle
Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, https://doi.org/10.5194/essd-15-1197-2023, 2023
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This study updates the state-of-the-art scientific overview of CH4 and N2O emissions in the EU27 and UK in Petrescu et al. (2021a). Yearly updates are needed to improve the different respective approaches and to inform on the development of formal verification systems. It integrates the most recent emission inventories, process-based model and regional/global inversions, comparing them with UNFCCC national GHG inventories, in support to policy to facilitate real-time verification procedures.
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.
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
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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.
Petri Kiuru, Marjo Palviainen, Arianna Marchionne, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, and Annamari Laurén
Biogeosciences, 19, 5041–5058, https://doi.org/10.5194/bg-19-5041-2022, https://doi.org/10.5194/bg-19-5041-2022, 2022
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Peatlands are large carbon stocks. Emissions of carbon dioxide and methane from peatlands may increase due to changes in management and climate. We studied the variation in the gas diffusivity of peat with depth using pore network simulations and laboratory experiments. Gas diffusivity was found to be lower in deeper peat with smaller pores and lower pore connectivity. However, gas diffusivity was not extremely low in wet conditions, which may reflect the distinctive structure of peat.
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.
Ziqi Lin, Yongjiu Dai, Umakant Mishra, Guocheng Wang, Wei Shangguan, Wen Zhang, and Zhangcai Qin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-232, https://doi.org/10.5194/essd-2022-232, 2022
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Spatial soil organic carbon (SOC) data is critical for predictions in carbon climate feedbacks and future climate trends, but no conclusion has yet been reached on which dataset to be used for specific purposes. We evaluated the SOC estimates from five widely used global soil datasets and a regional permafrost dataset, and identify uncertainties of SOC estimates by region, biome, and data sources, hoping to help improve SOC/soil data in the future.
Minttu Havu, Liisa Kulmala, Pasi Kolari, Timo Vesala, Anu Riikonen, and Leena Järvi
Biogeosciences, 19, 2121–2143, https://doi.org/10.5194/bg-19-2121-2022, https://doi.org/10.5194/bg-19-2121-2022, 2022
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The carbon sequestration potential of two street tree species and the soil beneath them was quantified with the urban land surface model SUEWS and the soil carbon model Yasso. The street tree plantings turned into a modest sink of carbon from the atmosphere after 14 years. Overall, the results indicate the importance of soil in urban carbon sequestration estimations, as soil respiration exceeded the carbon uptake in the early phase, due to the high initial carbon loss from the soil.
Petri Kiuru, Marjo Palviainen, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, Vincent Gauci, Iñaki Urzainki, and Annamari Laurén
Biogeosciences, 19, 1959–1977, https://doi.org/10.5194/bg-19-1959-2022, https://doi.org/10.5194/bg-19-1959-2022, 2022
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Peatlands are large sources of methane (CH4), and peat structure controls CH4 production and emissions. We used X-ray microtomography imaging, complex network theory methods, and pore network modeling to describe the properties of peat macropore networks and the role of macropores in CH4-related processes. We show that conditions for gas transport and CH4 production vary with depth and are affected by hysteresis, which may explain the hotspots and episodic spikes in peatland CH4 emissions.
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.
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.
Cited articles
An, S. Q., Li, H. B., Guan, B. H., Zhou, C. F., Wang, Z. S., Deng, Z. F., Zhi, Y. B., Liu, Y. L., Xu, C., Fang, S. B., Jiang, J. H., and Li, H. L.: China's natural wetlands: past problems, current status, and future challenges, Ambio, 36, 335–342, 2007.
Antonov, J. I., Seidov, D., Boyer, T. P., Locarnini, R. A., Mishonov, A. V., Garcia, H. E., Baranova, O. K., Zweng, M. M., and Johnson, D. R.: World Ocean Atlas 2009 Vol. 2, Salinity, in: NOAA Atlas NESDIS 69, edited by: Levitus, S., US Government Printing Office, Washington, D.C., 1–184, 2010.
Atkinson, L. P. and Hall, J. R.: Methane distribution and production in the Georgia salt marsh, Estuar. Coast. Mar. Sci., 4, 677–686, 1976.
Bartlett, K. B., Harriss, R. C., and Sebacher, D. I.: Methane flux from coastal salt marshes, J. Geophys. Res., 90, 5710–5720, 1985.
Bartlett, K. B., Bartlett, D. S., Harriss, R. C., and Sebacher, D. I.: Methane emissions along a salt marsh salinity gradient, Biogeochemistry, 4, 183–202, 1987.
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.
Beerling, D. J. and Woodward, F. I.: Vegetation and the terrestrial carbon cycle: Modelling the first 400 Million Years, Cambridge University Press, Cambridge, 405 pp., 2001.
Belward, A. S., Estes, J. E., and Kline, K. D.: The IGBP-DIS global 1-km land-cover data set DISCover: A project overview, Photogramm. Eng. Rem. S., 65, 1013–1020, 1999.
Berrittella, C. and van Huissteden, J.: Uncertainties in modelling CH4 emissions from northern wetlands in glacial climates: the role of vegetation parameters, Clim. Past, 7, 1075–1087, https://doi.org/10.5194/cp-7-1075-2011, 2011.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrolog. Sci. Bull., 24, 43–69, 1979.
Bohn, T. J., Lettenmaier, D. P., Sathulur, K., Bowling, L. C., Podest, E., McDonald, K. C., and Friborg, T.: Methane emissions from western Siberian wetlands: heterogeneity and sensitivity to climate change, Environ. Res. Lett., 2, 045015, https://doi.org/10.1088/1748-9326/2/4/045015, 2007.
Bohn, T. J., Melton, J. R., Ito, A., Kleinen, T., Spahni, R., Stocker, B. D., Zhang, B., Zhu, X., Schroeder, R., Glagolev, M. V., Maksyutov, S., Brovkin, V., Chen, G., Denisov, S. N., Eliseev, A. V., Gallego-Sala, A., McDonald, K. C., Rawlins, M. A., Riley, W. J., Subin, Z. M., Tian, H., Zhuang, Q., and Kaplan, J. O.: WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia, Biogeosciences, 12, 3321–3349, https://doi.org/10.5194/bg-12-3321-2015, 2015.
Bousquet, P., Cialis, P., Miller, J. B., Dlugokencky, E. J., Hauglustaine, D. A., Prigent, C., van der Werf, G. R., Peylin, P., Brunke, E.-G., Carouge, C., Langenfelds, R. L., Lathière, J., Papa, F., Ramonet, M., Schmidt, M., Steele, L. P., Tyler, S. C., and White, J.: Contribution of anthropogenic and natural sources to atmospheric methane variability, Nature, 443, 439–443, https://doi.org/10.1038/nature05132, 2006.
Bush, J. and Lösch, R.: The Gas Exchange of Carex Species from Eutrophic Wetlands and its Dependence on Microclimatic and Soil Wetness Conditions, Phys. Chem. Earth B, 24, 117–120, 1999.
Cai, Z. C.: Greenhouse gas budget for terrestrial ecosystems in China, Sci. China Earth Sci., 55, 173–182, 2012.
Chen, H., Yao, S., Wu, N., Wang, Y., Luo, P., Tian, J., Gao, Y., and Sun, G.: Determinants influencing seasonal variations of methane emissions from alpine wetlands in Zoige Plateau and their implications, J. Geophys. Res., 113, D12303, https://doi.org/10.1029/2006JD008072, 2008.
Chen, H., Zhu, Q., Peng, C. H., Wu, N., Wang, Y. F., Fang, X. Q., Jiang, H., Xiang, W. H., Chang, X., Deng, X. W., and Yu G. R.: Methane emissions from rice paddies natural wetlands, lakes in China: synthesis new estimate, Glob. Change Biol., 19, 19–32, 2013.
Christensen, T. and Cox, P.: Response of methane emission from arctic tundra to climate change: results from a model simulation, Geophys. Res. Lett., 31, L04501, https://doi.org/10.1029/2003GL018680, 1995.
Christensen, T. R., Ekberg, A., Ström, L., Mastepanov, M., Panikov, N., Öquist, M., Svensson, B. H., Nykänen, H., Martikainen, P. J., and Oskarsson, H.: Factors controlling large scale variations in methane emissions from wetlands, Geophys. Res. Lett., 30, 1414, https://doi.org/10.1029/2002GL016848, 2003.
Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P., Hinton, T., Hughes, J., Jones, C. D., J oshi, M., Liddicoat, S., Martin, G., O'Connor, F., Rae, J., Senior, C., Sitch, S., Totterdell, I., Wiltshire, A., and Woodward, S.: Development and evaluation of an Earth-System model – HadGEM2, Geosci. Model Dev., 4, 1051–1075, https://doi.org/10.5194/gmd-4-1051-2011, 2011.
Cramer, W., Kicklighter, D. W., Bondeau, A., Moore Iii, B., Churkina, G., Nemry, B., Ruimy, A., Schloss, A. L., and The Participants of the Potsdam NPP Model Intercomparison: Comparing global models of terrestrial net primary productivity (NPP): overview and key results, Glob. Change Biol., 5, 1–15, 1999.
Davidson, N. C.: How much wetland has the world lost? Long-term and recent trends in global wetland area, Mar. Freshwater Res., 65, 934–941, 2014.
Denman, K. L., Brasseur, G., Chidthaisong, A., Ciais, P., Cox, P. M., Dickinson, R. E., Hauglustaine, D., Heinze, C., Holland, E., Jacob, D., Lohmann, U., Ramachandran, S., da Silva Dias, P. L., Wofsy, S. C., and Zhang, X.: Couplings between changes in the climate system and biogeochemistry, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmanetal Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, 539–544, 2007.
Ding, W. X. and Cai, Z. C.: Methane emission from natural wetlands in China: summary of years 1995–2004 studies, Pedosphere, 17, 475–486, 2007.
Ding, Y. H. and Ren, G. Y.: Climate change in China and its future trend, in: National assessment report of climate change, edited by: editing committee of national assessment report of climate change, Science Press, China, 130–161, 2007 (in Chinese with English abstract).
Ding, W., X., Cai, Z., and Wang, D.: Preliminary budget of methane emissions from natural wetlands in China, Atmos. Environ., 38, 751–759, 2004.
Du, X. and Chen, W.: Methodology for managing the effect of uncertainty in simulation-based design, AIAA J., 38, 1471–1478, 2000.
Duan, X. N., Wang, X. K., Mu, Y. J., and Ouyang, Z. Y.: Seasonal and diurnal variations in methane emissions from Wuliangsu Lake in arid regions of China, Atmos. Environ., 39, 4479–4487, 2005.
Editorial Committee: China wetlands encyclopedia, Beijing Science and Technology Press, Beijing, 706 pp., 2009 (in Chinese).
Fan, Y. and van den Dool, H.: Climate prediction center global monthly soil moisture data set at 0.5° resolution for 1948 to present, J. Geophys. Res., 109, D10102, https://doi.org/10.1029/2003JD004345, 2004.
FAO/IIASA/ISRIC/ISS-CAS/JRC: Harmonized World Soil Database, version 1.0, FAO, Rome, Italy and IIASA, Laxenburg, Austria, 42 pp., 2008.
FAO/IIASA/ISRIC/ISSCAS/JRC: Harmonized World Soil Database, version 1.2, FAO and IIASA, Rome, Italy and Laxenburg, Austria, 43 pp., 2012.
Fung, I., John, J., Lerner, J., Matthews, E., Prather, M., Steele, L., and Fraser, P.: Three-dimensional model synthesis of the global methane cycle, J. Geophys. Res., 96, 13033–13065, 1991.
Gill, R. and Jackson, R. B.: Global Distribution of Root Turnover in Terrestrial Ecosystems, Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/661, 2003.
Giltrap, D. L., Li, C. C., and Saggar, S.: DNDC: A process-based model of greenhouse gas fluxes from agricultural soils, Agr. Ecosyst. Environ., 136, 292–300, 2010.
Grabs, T., Seibert, J., Bishop, K., and Laudon, H.: Modelling spatial patterns of saturated areas: A comparison of the topographic wetness index and a dynamic distributed model, J. Hydrol., 373, 15–23, 2009.
Haitjema, H. M. and Mitchell-Bruker, S.: Are water tables a subdued replica of the topography?, Ground Water, 43, 781–786, 2005.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 Dataset, Int. J. Climatol., 34, 623–642, https://doi.org/10.1002/joc.3711, 2014.
Hein, R., Crutzen, P. J., and Heimann, M.: An inverse modelling approach to investigate the global atmospheric methane cycle, Global Biogeochem. Cy., 11, 43–76, 1997.
Hirota, M., Tang, Y., Hu, Q., Hirata, S., Kato, T., Mo, W., Gao, G. M., and Marikoe, S.: Methane emissions from different vegetation zones in a Qinghai-Tibetan Plateau wetland, Soil Biol. Biochem., 36, 737–748, 2004.
Huang, G. H., Li, X. Z., Hu, Y. M., Shi, Y., and Xiao, D. N.: Methane emission from a natural wetland of northern China, J. Environ. Sci. Heal. A, 40, 1227–1238, 2005.
Huang, Z. G. and Xie, X. D.: Change of the sea level and its effect and countermeasures, Guangdong science and Technology Press, China, 263 pp., 2000 (in Chinese).
Hu, S., Zhu, J. R., Fu, D. J., and Wu, H.: Estuarine circulation and saltwater intrusion II: impacts of river discharge and rise of sea level, Journal of Ocean University of Qingdao, 33, 337–342, 2003 (in Chinese with English abstract).
IPCC: Emission Scenarios: A Special Report of Workgroup III of IPCC, Cambridge University Press, UK, 78 pp., 2000.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, 52–53, 2013.
Jin, H. J., Wu, J., Cheng, G. D., Tomoko, N., and Sun, G. Y.: Methane emissions from wetlands on the Qinghai-Tibet Plateau, Chinese Sci. Bull., 44, 2282–2286, 1999.
Kesik, M., Ambus, P., Baritz, R., Brüggemann, N., Butterbach-Bahl, K., Damm, M., Duyzer, J., Horváth, L., Kiese, R., Kitzler, B., Leip, A., Li, C., Pihlatie, M., Pilegaard, K., Seufert, S., Simpson, D., Skiba, U., Smiatek, G., Vesala, T., and Zechmeister-Boltenstern, S.: Inventories of N2O and NO emissions from European forest soils, Biogeosciences, 2, 353–375, https://doi.org/10.5194/bg-2-353-2005, 2005.
Khalil, M. A. K., Shearer, M. J., and Rasmussen, R. A.: Methane sources in China: historical and current emissions, Chemosphere, 26, 127–142, 1993.
King, G. M. and Wiebe, W. J.: Methane release from soils of a Georgia salt marsh, Geochim. Cosmochim. Ac., 42, 343–348, 1978.
King, J. Y. and Reeburgh, W. S.: A pulse-labeling experiment to determine the contribution of recent plant photosynthates to net methane emission in arctic wet sedge tundra, Soil Biol. Biochem., 34, 173–180, 2002.
Kleinen, T., Brovkin, V., and Schuldt, R. J.: A dynamic model of wetland extent and peat accumulation: results for the Holocene, Biogeosciences, 9, 235–248, https://doi.org/10.5194/bg-9-235-2012, 2012.
Krinner, G., Viovy, N., de Noblet-Ducoudre, N., Ogee, J., Polcher, J., Friedlingstein, P., Ciais, P., Sitch, S., and Prentice, I. C.: A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system, Global Biogeochem. Cy., 19, 941–962, 2005.
Lang, H. Q. and Zu, W. C.: Marshland in Chinese, Shandong Science and Technology Press, China, 269 pp., 1983 (in Chinese).
Li, C. C., Narayanan, V., and Harriss, R. C.: Model estimates of nitrous oxide emissions from agricultural lands in the United States, Global Biogeochem. Cy., 10, 297–306, 1996.
Li, C. C., Arvin, M., Reiner, W., Cai, Z. C., Zheng, X. H., Huang, Y., Haruo, T., Jariya, B., and Rhoda, L.: Modelling greenhouse gas emissions from rice production systems: Sensitivity and upscaling, Global Biogeochem. Cy., 18, GB1043, https://doi.org/10.1029/2003GB002045, 2004.
Li, C., Salas, W., DeAngelo, B., and Rose, S.: Assessing alternatives for mitigating net greenhouse gas emissions and increasing yields from rice production in China over the next twenty years, J. Environ. Qual., 35, 1554–1565, 2006a.
Li, J. L., Wang, Y. H., Zhang, R. S., Qi, D. L. and Zhang, D. F.: Disaster effects of sea level rise – a case of Jiangsu coastal low land, Sci. Geograph. Sinica, 26, 87–93, 2006b (in Chinese with English abstract).
Li, T., Huang, Y., Zhang, W., and Song, C.: CH4MODwetland: A biogeophysical model for simulating CH4 emissions from natural wetland, Ecol. Model., 221, 666–680, 2010.
Li, T., Huang, Y., Zhang, W., and Yu, Y.-Q.: Methane emissions associated with the conversion of marshland to cropland and climate change on the Sanjiang Plain of northeast China from 1950 to 2100, Biogeosciences, 9, 5199–5215, https://doi.org/10.5194/bg-9-5199-2012, 2012.
Liu, M. and Tian, H.: China's land cover and land use change from 1700 to 2005: Estimations from high-resolution satellite data and historical archives, Global Biogeochem. Cy., 24, GB3003, https://doi.org/10.1029/2009GB003687, 2010.
Loveland, T. R., Brown, J. F., Ohlen, D. O., Zhu, Z., Yang, L., Merchant, J. W., and Reed, B. C.: Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data, Int. J. Remote Sens., 21, 1303–1330, 2000.
Lu, X. and Zhuang, Q.: Modelling methane emissions from the Alaskan Yukon River basin, 1986-2005, by coupling a larg-scale hydrological model and a process-based methane model, J. Geophys. Res., 117, G02010, https://doi.org/10.1029/2011JG001843, 2012.
Magenheimer, J. F., Moore, T. R., Chmura, G. L., and Daoust, R. J.: Methane and carbon dioxide flux from a macrotidal salt marsh, Bay of Fundy, New Brunswick Canada, Estuaries, 19, 139–145, 1996.
Marthews, T. R., Dadson, S. J., Lehner, B., Abele, S., and Gedney, N.: High-resolution global topographic index values for use in large-scale hydrological modelling, Hydrol. Earth Syst. Sci., 19, 91–104, https://doi.org/10.5194/hess-19-91-2015, 2015.
McGuire, A. D., Melillo, J. M., Joyce, L. A., Kicklighter, D. W., Grace, A. L., Moore III, B., and Vorosmarty, C. J.: Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America, Global Biogeochem. Cy., 6, 101–124, 1992.
Melillo, J. M., Mcguire, A. D., Kicklighter, D. W., Moore, B., Vorosmarty, C. J., and Schloss, A. L.: Global climate change and terrestrial net primary production, Nature, 363, 234–240, 1993.
Melton, J. R., Wania, R., Hodson, E. L., Poulter, B., Ringeval, B., Spahni, R., Bohn, T., Avis, C. A., Beerling, D. J., Chen, G., Eliseev, A. V., Denisov, S. N., Hopcroft, P. O., Lettenmaier, D. P., Riley, W. J., Singarayer, J. S., Subin, Z. M., Tian, H., Zürcher, S., Brovkin, V., van Bodegom, P. M., Kleinen, T., Yu, Z. C., and Kaplan, J. O.: Present state of global wetland extent and wetland methane modelling: conclusions from a model inter-comparison project (WETCHIMP), Biogeosciences, 10, 753–788, https://doi.org/10.5194/bg-10-753-2013, 2013.
Montzka, S. A., Dlugokencky, E. J., and Butler, J. H.: Non-CO2 greenhouse gases and climate change, Nature, 476, 43–50, 2011.
Moser, M., Prentice, C., and Frazier, S.: A global overview of wetland loss and degradation. Proceedings to the 6th Meeting of the Conference of Contracting Parties of the Ramsar Convention, Brisbane, Australia, Vol. 10/12B, 21–31, March 1996.
Nisbet, E. G., Dlugokencky, E. J., and Bousquet, P.: Methane on the rise-again, Science, 343, 493–495, 2014.
Niu, Z. G., Zhang, H. Y., Wang, X. W., Yao W. B., Zhou, D. M., Zhao, K. Y., Zhao, H., Li, N. N., Huang, H. B., Li, C. C., Yang, J., Liu, C. X., Liu, S., Wang, L., Li, Z., Yang, Z. Z., Qiao, F., Zheng, Y. M., Chen, Y. L., Sheng, Y. W., Gao X. H., Zhu, W. H., Wang, W. Q., Wang, H., Weng, Y. L., Zhuang, D. F., Liu, J. Y., Luo, Z. C., Cheng, X., Guo, Z. Q., and Gong, P.: Mapping wetland changes in China between 1978 and 2008, Chinese Sci. Bull., 57, 2813–2823, 2012.
Poffenbarger, H. J., Needelman, B. A., and Megonigal, J. P.: Salinity influence on methane emissions from tidal marshes, Wetlands, 31, 831–842, 2011.
Potter, C., Klooster, S., Hiatt, S., Fladeland, M., Genovese, V., and Gross, P.: Methane emissions from natural wetlands in the United States: satellite-derived estimation based on ecosystem carbon cycling, Earth Interact., 10, 1–12, 2006.
Revenga, C., Brunner, J., Henninger, N., Kassem, K., and Payne, R.: Pilot analysis of global ecosystems: Freshwater systems, World Resources Institute, Washington, DC, 78 pp., 2000.
Riley, W. J., Subin, Z. M., Lawrence, D. M., Swenson, S. C., Torn, M. S., Meng, L., Mahowald, N. M., and Hess, P.: Barriers to predicting changes in global terrestrial methane fluxes: analyses using CLM4Me, a methane biogeochemistry model integrated in CESM, Biogeosciences, 8, 1925–1953, https://doi.org/10.5194/bg-8-1925-2011, 2011.
Ringeval, B., de Noblet, N., Ciais, P., Bousquet, P., Prigent, C., Papa, F., and Rossow, W. B.: An attempt to quantify the impact of changes in wetland extent on methane emissions on the seasonal and interannual time scales, Global Biogeochem. Cy., 24, GB2003, https://doi.org/10.1029/2008GB003354, 2010.
Shen, H. T., Mao, Z. C., and Zhu, J. R.: Salt water intrusion in ChangJiang Estuary, China Ocean Press, China, 175 pp., 2003 (in Chinese with English abstract).
Shindell, D. T., Walter, B. P., and Faluvegi, G.: Impacts of climate change on methane emissions from wetlands, Geophys. Res. Lett., 31, L21202, https://doi.org/10.1029/2004GL021009, 2004.
Song, C. C., Zhang, J. B., Wang, Y. Y., Wang, Y. S., and Zhao, Z. C.: Emission of CO2, CH4 and N2O from freshwater marsh in northeast of China, J. Environ. Manage., 40, 6879–6885, 2007.
Stocker, B. D., Spahni, R., and Joos, F.: DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands, Geosci. Model Dev., 7, 3089–3110, https://doi.org/10.5194/gmd-7-3089-2014, 2014.
Streets, D. G., Jiang, K., Hu, X., Sinton, J. E., Zhang, X.-Q., Xu, D., Jacobson, M. Z., and Hansen, J. E.: Recent reductions in China's greenhouse gas emissions, Science, 294, 1835–1837, 2001.
Tian, H., Xu, X., Liu, M., Ren, W., Zhang, C., Chen, G., and Lu, C.: Spatial and temporal patterns of CH4 and N2O fluxes in terrestrial ecosystems of North America during 1979–2008: application of a global biogeochemistry model, Biogeosciences, 7, 2673–2694, https://doi.org/10.5194/bg-7-2673-2010, 2010.
Tian, H., Xu, X., Lu, C., Liu, M. L., Ren, W., Chen, G. S., Melillo, J., and Liu, J. Y.: Net exchanges of CO2, CH4, and N2O between China's terrestrial ecosystems and the atmosphere and their contributions to global climate warming, J. Geophys. Res., 116, G02011, https://doi.org/10.1029/2010JG001393, 2011.
USGS: US Geological Survey: HYDRO1k Elevation derivative database, US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lta.cr.usgs.gov/HYDRO1KReadMe (last access: 26 November 2015), 2000.
Verville, J. H., Hobbie, S. E., Chapin III, F. S., and Hooper, D. U.: Response of tundra CH4 and CO2 flux to manipulation of temperature and vegetation, Biogeochemistry, 41, 215–235, 1998.
Wang, M. X., Dai, A. G., Huang, J., Ren, L. X., and Shen, R. X.: Sources of methane in China: rice fields, agricultural waste treatment, cattle, coal mines, and other minor sources, Scientia Atmospherica Sinica, 17, 52–64, 1993 (in Chinese with English abstract).
Wang, Z., Wu, J., Madden, M., and Mao, D.: China's wetlands: conservation plans and policy impacts, Ambio, 41, 782–786, 2012.
Wang, X. K., Lu, F., and Yang, L.: Methane emissions from China's natural wetlands: measurements, temporal variations and influencing factors, in: Recarbonization of the Biosphere, edited by: Lal, R., Lorenz, K., Hüttl, R. F., Schneider, B. U., and von Braun, J., Springer Netherlands, 99–125, 2012.
Wania, R., Ross, I., and Prentice, I. C.: Implementation and evaluation of a new methane model within a dynamic global vegetation model: LPJ-WHyMe v1.3.1, Geosci. Model Dev., 3, 565–584, https://doi.org/10.5194/gmd-3-565-2010, 2010.
Wania, R., Melton, J. R., Hodson, E. L., Poulter, B., Ringeval, B., Spahni, R., Bohn, T., Avis, C. A., Chen, G., Eliseev, A. V., Hopcroft, P. O., Riley, W. J., Subin, Z. M., Tian, H., van Bodegom, P. M., Kleinen, T., Yu, Z. C., Singarayer, J. S., Zürcher, S., Lettenmaier, D. P., Beerling, D. J., Denisov, S. N., Prigent, C., Papa, F., and Kaplan, J. O.: Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP), Geosci. Model Dev., 6, 617–641, https://doi.org/10.5194/gmd-6-617-2013, 2013.
Wei, D., Xu, R., Tenzin, T., Dai, D. X., Wang, Y. S., and Wang, Y. H.: Revisiting the role of CH4 emissions from alpine wetlands on the Tibetan Plateau: evidence from two in situ measurements at 4758 and 4320 m above sea level. J. Geophys. Res.-Biogeo., 120, 1471001450, https://doi.org/10.1002/2015JG002974, 2015.
Whalen, S. C.: Biogeochemistry of methane exchange between natural wetlands and the atmosphere, Environ. Eng. Sci., 22, 73–94, 2005.
Woodward, F. I., Smith, T. M., and Emanuel, W. R.: A global land primary productivity and phytogeography model, Global Biogeochem. Cy., 9, 471–490, 1995.
Xu, Q., Cai, L., and Dong, Y. H.: Characteristics, types and management of the wetlands in China: Study on wetlands in China, edited by Chen Y. Y., Jilin Science and Technology Press, Changchun, Jilin, China, 24–33, 1995 (in Chinese).
Xu, X. F., Tian, H. Q., Zhang, C., Liu, M. L., Ren, W., Chen, G. S., Lu, C. Q., and Bruhwiler, L.: Attribution of spatial and temporal variations in terrestrial methane flux over North America, Biogeosciences, 7, 3637–3655, https://doi.org/10.5194/bg-7-3637-2010, 2010.
Xu, X. and Tian, H.: Methane exchange between marshland and the atmosphere over China during 1949–2008, Global Biogeochem. Cy., 26, GB2006, https://doi.org/10.1029/2010GB003946, 2012.
Yan, X., Akiyama, H., Yagi, K., and Akimoto, H.: Global estimations of the inventory and mitigation potential of methane emissions from rice cultivation conducted using the 2006 Intergovernmental Panel on Climate Change Guidelines, Global Biogeochem. Cy., 23, GB2002, https://doi.org/10.1029/2008GB003299, 2009.
Yang, W. Y., Song, C. C., and Zhang, J. B.: Dynamics of methane emissions from a freshwater marsh of northeast China, Sci. Total Environ., 371, 286–292, 2006.
Yang, H., Xie, P., Ni, L., and Flower, R. J.: Underestimation of CH4 emission from freshwater lakes in China, Environ. Sci. Technol., 45, 4203–4204, 2011.
Zhang, W., Yu, Y., Huang, Y., Li, T., and Wang, P.: Modelling methane emissions from irrigated cultivation in China from 1960 to 2050, Glob. Change Biol., 17, 3511–3523, 2011.
Zhang, X., Jiang, H., Lu, X., Cheng, M., Zhang, X., Li, X., and Zhang, L.: Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China, Atmos. Environ., 69, 191–197, 2013.
Zhao, K. Y.: Mires in China, Science Press, Beijing, China, 1999 (in Chinese).
Zhao, K. Y. and Liu, X. T.: Status qua and prospect of studies in wetlands, Study on wetlands in China, Jilin Science and Technology Press, Changchun, Jilin, China, 1–9, 1995 (in Chinese).
Zhu, X. D., Zhuang, Q. L., Xiang, G., Sokolov, A., and Schlosser, C. A.: Pan-Arctic land-atmospheric fluxes of methane and carbon dioxide in response to climate change over the 21st century, Environ. Res. Lett., 8, 045003, https://doi.org/10.1088/1748-9326/8/4/045003, 2013.
Zhuang, Q., Melillo, J., Kicklighter, D., Prinn, R. G., McGuire, A. D., Steudler, P. A., Felzer, B. S., and Hu, S.: Methane fluxes between terrestrial ecosystems and the atmosphere at northern high latitudes during the past century: A retrospective analysis with a process-based biogeochemistry model, Global Biogeochem. Cy., 18, GB3010, https://doi.org/10.1029/2004GB002239, 2004.
Zhuang, Q., Mellillo, J., Sarofim, M., Kicklighter, D. W., McGuire, A. D., Felzer, B. S., Sokolov, A., Prinn, R. G., Steudler, P. A., and Hu, S: CO2 and CH4 exchanges between land ecosystems and the atmosphere in northern high latitudes over the 21st century, Geophys. Res. Lett., 33, L17403, https://doi.org/10.1029/2006GL026972, 2006.
Zhuang, Q., Melillo, J., Mcguire, A., Kicklighter, D., Prinn, R. G., Steudler, P. A., Felzer, B. S., and Hu, S.: Net emissions of CH4 and CO2 in Alaska: Implications for the region's greenhouse gas budget, Ecolog. Appl., 17, 203–212, 2007.
Zhuang, Q., Chen, M., Xu, K., Tang, J., Saikawa, E., Lu, Y., Melillo, J. M., Prinn, R. G., and McGuire, A. D.: Response of global soil consumption of atmospheric methane to changes in atmospheric climate and Nitrogen deposition, Global Biogeochem. Cy., 27, 650–663, 2013.
Short summary
Natural wetlands in China have experienced extensive conversion and climate warming, which makes the estimation of methane emission from wetlands highly uncertain. In this paper, we simulated an increase of 25.5% in national CH4 fluxes from 1950 to 2010, which was mainly induced by climate warming. Although climate warming has accelerated CH4 fluxes, the total amount of national CH4 emissions decreased by approximately 2.35 Tg (1.91－2.81 Tg), due to a large wetland loss of 17.0 million ha.
Natural wetlands in China have experienced extensive conversion and climate warming, which makes...
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