1,551 results on '"Bastviken, David"'
Search Results
2. Dearomatization drives complexity generation in freshwater organic matter
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Li, Siyu, Harir, Mourad, Bastviken, David, Schmitt-Kopplin, Philippe, Gonsior, Michael, Enrich-Prast, Alex, Valle, Juliana, and Hertkorn, Norbert
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- 2024
- Full Text
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3. Higher Apparent Gas Transfer Velocities for CO2 Compared to CH4 in Small Lakes.
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Pajala, Gustav, Rudberg, David, Gålfalk, Magnus, Melack, John Michael, Macintyre, Sally, Karlsson, Jan, Sawakuchi, Henrique Oliveira, Schenk, Jonathan, Sieczko, Anna, Sundgren, Ingrid, Duc, Nguyen Thanh, and Bastviken, David
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Carbon Dioxide ,Gases ,Water ,Methane ,Lakes ,Greenhouse Gases ,carbon dioxide ,gas transfer ,greenhouse gas ,lake ,methane ,piston velocity ,Climate Action ,gastransfer ,Environmental Sciences - Abstract
Large greenhouse gas emissions occur via the release of carbon dioxide (CO2) and methane (CH4) from the surface layer of lakes. Such emissions are modeled from the air-water gas concentration gradient and the gas transfer velocity (k). The links between k and the physical properties of the gas and water have led to the development of methods to convert k between gases through Schmidt number normalization. However, recent observations have found that such normalization of apparent k estimates from field measurements can yield different results for CH4 and CO2. We estimated k for CO2 and CH4 from measurements of concentration gradients and fluxes in four contrasting lakes and found consistently higher (on an average 1.7 times) normalized apparent k values for CO2 than CH4. From these results, we infer that several gas-specific factors, including chemical and biological processes within the water surface microlayer, can influence apparent k estimates. We highlight the importance of accurately measuring relevant air-water gas concentration gradients and considering gas-specific processes when estimating k.
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- 2023
4. Practical Guide to Measuring Wetland Carbon Pools and Fluxes.
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Banerjee, Kakoli, Bastviken, David, Berg, Peter, Bogard, Matthew, Chow, Alex, Conner, William, Craft, Christopher, Creamer, Courtney, DelSontro, Tonya, Duberstein, Jamie, Eagle, Meagan, Fennessy, M, Finkelstein, Sarah, Göckede, Mathias, Grunwald, Sabine, Halabisky, Meghan, Herbert, Ellen, Jahangir, Mohammad, Johnson, Olivia, Jones, Miriam, Kelleway, Jeffrey, Knox, Sara, Kroeger, Kevin, Kuehn, Kevin, Lobb, David, Loder, Amanda, Ma, Shizhou, Maher, Damien, McNicol, Gavin, Meier, Jacob, Middleton, Beth, Mills, Christopher, Mistry, Purbasha, Mitra, Abhijit, Mobilian, Courtney, Nahlik, Amanda, Newman, Sue, OConnell, Jessica, Oikawa, Patty, van der Burg, Max, Schutte, Charles, Song, Changchun, Stagg, Camille, Turner, Jessica, Vargas, Rodrigo, Waldrop, Mark, Wallin, Marcus, Wang, Zhaohui, Ward, Eric, Willard, Debra, Yarwood, Stephanie, Zhu, Xiaoyan, Bansal, Sheel, Creed, Irena, Tangen, Brian, Bridgham, Scott, Desai, Ankur, Krauss, Ken, Neubauer, Scott, Noe, Gregory, Rosenberry, Donald, Trettin, Carl, Wickland, Kimberly, Allen, Scott, Arias-Ortiz, Ariane, Armitage, Anna, and Baldocchi, Dennis
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Accretion ,Accumulation ,Biomass ,Bulk density ,Carbon cycling ,Chambers ,Core ,Decomposition ,Dissolved gas ,Dissolved organic carbon ,Eddy covariance ,Greenhouse gas ,Groundwater ,Hydrology ,Incubation ,Lateral transport ,Litter ,Methane ,Methods ,Microbes ,Models ,Net primary productivity ,Plants ,Porewater ,Radiometric dating ,Remote sensing ,Sediment ,Soil organic carbon ,Vegetation ,Water - Abstract
UNLABELLED: Wetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13157-023-01722-2.
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- 2023
5. Operational effects on aquatic carbon dioxide and methane emissions from the Belo Monte hydropower plant in the Xingu River, eastern Amazonia
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de Araújo, Kleiton R., Sawakuchi, Henrique O., Bertassoli, Dailson J., Jr, Bastviken, David, Pereira, Tatiana S., and Sawakuchi, André O.
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- 2024
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6. Practical Guide to Measuring Wetland Carbon Pools and Fluxes
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Bansal, Sheel, Creed, Irena F., Tangen, Brian A., Bridgham, Scott D., Desai, Ankur R., Krauss, Ken W., Neubauer, Scott C., Noe, Gregory B., Rosenberry, Donald O., Trettin, Carl, Wickland, Kimberly P., Allen, Scott T., Arias-Ortiz, Ariane, Armitage, Anna R., Baldocchi, Dennis, Banerjee, Kakoli, Bastviken, David, Berg, Peter, Bogard, Matthew J., Chow, Alex T., Conner, William H., Craft, Christopher, Creamer, Courtney, DelSontro, Tonya, Duberstein, Jamie A., Eagle, Meagan, Fennessy, M. Siobhan, Finkelstein, Sarah A., Göckede, Mathias, Grunwald, Sabine, Halabisky, Meghan, Herbert, Ellen, Jahangir, Mohammad M. R., Johnson, Olivia F., Jones, Miriam C., Kelleway, Jeffrey J., Knox, Sara, Kroeger, Kevin D., Kuehn, Kevin A., Lobb, David, Loder, Amanda L., Ma, Shizhou, Maher, Damien T., McNicol, Gavin, Meier, Jacob, Middleton, Beth A., Mills, Christopher, Mistry, Purbasha, Mitra, Abhijit, Mobilian, Courtney, Nahlik, Amanda M., Newman, Sue, O’Connell, Jessica L., Oikawa, Patty, van der Burg, Max Post, Schutte, Charles A., Song, Changchun, Stagg, Camille L., Turner, Jessica, Vargas, Rodrigo, Waldrop, Mark P., Wallin, Marcus B., Wang, Zhaohui Aleck, Ward, Eric J., Willard, Debra A., Yarwood, Stephanie, and Zhu, Xiaoyan
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- 2023
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7. Minor impacts of rain on methane flux from hemiboreal, boreal, and subarctic lakes
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Sieczko, Anna Katarzyna, Schenk, Jonathan, Rudberg, David, Duc, Nguyen Thanh, Pajala, Gustav, Sawakuchi, Henrique O., and Bastviken, David
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- 2023
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8. Extending the potential of Fourier transform ion cyclotron resonance mass spectrometry for the analysis of disinfection by-products
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Andersson, Anna, Harir, Mourad, and Bastviken, David
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- 2023
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9. Turbulence in a small boreal lake: Consequences for air–water gas exchange
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MacIntyre, Sally, Bastviken, David, Arneborg, Lars, Crowe, Adam T, Karlsson, Jan, Andersson, Andreas, Gålfalk, Magnus, Rutgersson, Anna, Podgrajsek, Eva, and Melack, John M
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Earth Sciences ,Atmospheric Sciences ,Environmental Sciences ,Biological Sciences ,Marine Biology & Hydrobiology ,Biological sciences ,Earth sciences ,Environmental sciences - Abstract
The hydrodynamics within small boreal lakes have rarely been studied, yet knowing whether turbulence at the air-water interface and in the water column scales with metrics developed elsewhere is essential for computing metabolism and fluxes of climate-forcing trace gases. We instrumented a humic, 4.7 ha, boreal lake with two meteorological stations, three thermistor arrays, an infrared (IR) camera to quantify surface divergence, obtained turbulence as dissipation rate of turbulent kinetic energy (ε) using an acoustic Doppler velocimeter and a temperature-gradient microstructure profiler, and conducted chamber measurements for short periods to obtain fluxes and gas transfer velocities (k). Near-surface ε varied from 10-8 to 10-6 m2 s-3 for the 0-4 m s-1 winds and followed predictions from Monin-Obukhov similarity theory. The coefficient of eddy diffusivity in the mixed layer was up to 10-3 m2 s-1 on the windiest afternoons, an order of magnitude less other afternoons, and near molecular at deeper depths. The upper thermocline upwelled when Lake numbers (L N ) dropped below four facilitating vertical and horizontal exchange. k computed from a surface renewal model using ε agreed with values from chambers and surface divergence and increased linearly with wind speed. Diurnal thermoclines formed on sunny days when winds were
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- 2021
10. Supplementary material to "Global Methane Budget 2000–2020"
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Saunois, Marielle, primary, Martinez, Adrien, additional, Poulter, Benjamin, additional, Zhang, Zhen, additional, Raymond, Peter, additional, Regnier, Pierre, additional, Canadell, Joseph G., additional, Jackson, Robert B., additional, Patra, Prabir K., additional, Bousquet, Philippe, additional, Ciais, Philippe, additional, Dlugokencky, Edward J., additional, Lan, Xin, additional, Allen, George H., additional, Bastviken, David, additional, Beerling, David J., additional, Belikov, Dmitry A., additional, Blake, Donald R., additional, Castaldi, Simona, additional, Crippa, Monica, additional, Deemer, Bridget R., additional, Dennison, Fraser, additional, Etiope, Giuseppe, additional, Gedney, Nicola, additional, Höglund-Isaksson, Lena, additional, Holgerson, Meredith A., additional, Hopcroft, Peter O., additional, Hugelius, Gustaf, additional, Ito, Akihito, additional, Jain, Atul K., additional, Janardanan, Rajesh, additional, Johnson, Matthew S., additional, Kleinen, Thomas, additional, Krummel, Paul, additional, Lauerwald, Ronny, additional, Li, Tingting, additional, Liu, Xiangyu, additional, McDonald, Kyle C., additional, Melton, Joe R., additional, Mühle, Jens, additional, Müller, Jurek, additional, Murguia-Flores, Fabiola, additional, Niwa, Yosuke, additional, Noce, Sergio, additional, Pan, Shufen, additional, Parker, Robert J., additional, Peng, Changhui, additional, Ramonet, Michel, additional, Riley, William J., additional, Rocher-Ros, Gerard, additional, Rosentreter, Judith A., additional, Sasakawa, Motoki, additional, Segers, Arjo, additional, Smith, Steven J., additional, Stanley, Emily H., additional, Thanwerdas, Joel, additional, Tian, Hanquin, additional, Tsuruta, Aki, additional, Tubiello, Francesco N., additional, Weber, Thomas S., additional, van der Werf, Guido, additional, Worthy, Doug E., additional, Xi, Yi, additional, Yoshida, Yukio, additional, Zhang, Wenxin, additional, Zheng, Bo, additional, Zhu, Qing, additional, Zhu, Qiuan, additional, and Zhuang, Qianlai, additional
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- 2024
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11. Global Methane Budget 2000–2020
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Saunois, Marielle, primary, Martinez, Adrien, additional, Poulter, Benjamin, additional, Zhang, Zhen, additional, Raymond, Peter, additional, Regnier, Pierre, additional, Canadell, Joseph G., additional, Jackson, Robert B., additional, Patra, Prabir K., additional, Bousquet, Philippe, additional, Ciais, Philippe, additional, Dlugokencky, Edward J., additional, Lan, Xin, additional, Allen, George H., additional, Bastviken, David, additional, Beerling, David J., additional, Belikov, Dmitry A., additional, Blake, Donald R., additional, Castaldi, Simona, additional, Crippa, Monica, additional, Deemer, Bridget R., additional, Dennison, Fraser, additional, Etiope, Giuseppe, additional, Gedney, Nicola, additional, Höglund-Isaksson, Lena, additional, Holgerson, Meredith A., additional, Hopcroft, Peter O., additional, Hugelius, Gustaf, additional, Ito, Akihito, additional, Jain, Atul K., additional, Janardanan, Rajesh, additional, Johnson, Matthew S., additional, Kleinen, Thomas, additional, Krummel, Paul, additional, Lauerwald, Ronny, additional, Li, Tingting, additional, Liu, Xiangyu, additional, McDonald, Kyle C., additional, Melton, Joe R., additional, Mühle, Jens, additional, Müller, Jurek, additional, Murguia-Flores, Fabiola, additional, Niwa, Yosuke, additional, Noce, Sergio, additional, Pan, Shufen, additional, Parker, Robert J., additional, Peng, Changhui, additional, Ramonet, Michel, additional, Riley, William J., additional, Rocher-Ros, Gerard, additional, Rosentreter, Judith A., additional, Sasakawa, Motoki, additional, Segers, Arjo, additional, Smith, Steven J., additional, Stanley, Emily H., additional, Thanwerdas, Joel, additional, Tian, Hanquin, additional, Tsuruta, Aki, additional, Tubiello, Francesco N., additional, Weber, Thomas S., additional, van der Werf, Guido, additional, Worthy, Doug E., additional, Xi, Yi, additional, Yoshida, Yukio, additional, Zhang, Wenxin, additional, Zheng, Bo, additional, Zhu, Qing, additional, Zhu, Qiuan, additional, and Zhuang, Qianlai, additional
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- 2024
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12. Groundwater discharge as a driver of methane emissions from Arctic lakes
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Olid, Carolina, Rodellas, Valentí, Rocher-Ros, Gerard, Garcia-Orellana, Jordi, Diego-Feliu, Marc, Alorda-Kleinglass, Aaron, Bastviken, David, and Karlsson, Jan
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- 2022
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13. Contribution of gas concentration and transfer velocity to CO2 flux variability in northern lakes
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Rudberg, David, Schenk, Jonathan, Pajala, Gustav, Sawakuchi, Henrique, Sieczko, Anna, Sundgren, Ingrid, Nguyen, Thanh Duc, Karlsson, Jan, Macintyre, Sally, Melack, John, Bastviken, David, Rudberg, David, Schenk, Jonathan, Pajala, Gustav, Sawakuchi, Henrique, Sieczko, Anna, Sundgren, Ingrid, Nguyen, Thanh Duc, Karlsson, Jan, Macintyre, Sally, Melack, John, and Bastviken, David
- Abstract
The CO( 2)flux (FCO2) from lakes to the atmosphere is a large component of the global carbon cycle anddepends on the air-water CO2concentration gradient (Delta CO2) and the gas transfer velocity (k). Both Delta CO2 and k can vary on multiple timescales and understanding their contributions toFCO(2)is important for explaining var-iability influxes and developing optimal sampling designs. We measuredFCO2 and Delta CO(2 )and derivedkforone full ice-free period in 18 lakes usingfloating chambers and estimated the contributions of Delta CO2 and k to FCO2 variability. Generally, kcontributed more than Delta CO2to short-term (1-9d) FCO2 variability. With in creased temporal period, the contribution of k to FCO2 variability decreased, and in some lakes resulted in Delta CO2 contrib-uting more thank to FCO2 variability over the full ice-free period. Increased contribution of Delta CO2 to FCO2 vari-ability over time occurred across all lakes but was most apparent in large-volume southern-boreal lakes and indeeper (>2m) parts of lakes, whereaskwas linked to FCO(2 )variability in shallow waters. Accordingly, knowing the variability of bothk and Delta CO(2 )over time and space is needed for accurate modeling of F CO2 from these vari-ables. We conclude that priority in FCO(2 )assessments should be given to direct measurements of FCO2 at multiplesites when possible, or otherwise from spatially distributed measurements of Delta CO(2 )combined with k- models that incorporate spatial variability of lake thermal structure and meteorology., Funding Agencies|Knut and Alice Wallenberg Foundation [2016.0083]; European Research Council (ERC) [725546]; Swedish Research Council (VR) [2016-04829]; Swedish Research Council for Sustainable Development (FORMAS) [2018-01794]; VR [2017-00635]; US National Science Foundation (Division of Environmental Biology) [1753856]
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- 2024
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14. Measurements of Methane Emissions from a Biofertilizer Storage Tank Using Ground-Based Hyperspectral Imaging and Flux Chambers
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Gålfalk, Magnus, Paledal, Soren Nilsson, Yngvesson, Johan, Bastviken, David, Gålfalk, Magnus, Paledal, Soren Nilsson, Yngvesson, Johan, and Bastviken, David
- Abstract
Open storages of organic material represent potentially large sources of the greenhouse gas methane (CH4), an emissions source that will likely become more common as a part of societal efforts toward sustainability. Hence, monitoring and minimizing CH4 emissions from such facilities are key, but effective assessment of emissions without disturbing the flux is challenging. We demonstrate the capacity of using a novel high-resolution hyperspectral camera to perform sensitive CH4 flux assessments at such facilities, using as a test case a biofertilizer storage tank for residual material from a biogas plant. The camera and simultaneous conventional flux chamber measurements showed emissions of 6.0 +/- 1.3 and 13 +/- 5.7 kg of CH4 h-1, respectively. The camera measurements covered the whole tank surface of 1104 m2, and the chamber results were extrapolated from measurements over 5 m2. This corresponds to 0.7-1.4% of the total CH4 production at the biogas plant (1330 N m3 h-1 corresponding to 950 kg h(-1)). The camera could assess the entire tank emission in minutes without disturbing normal operations at the plant and revealed additional unknown emissions from the inlet to the tank (17 g of CH4 h(-1)) and during the loading of the biofertilizer into trucks (3.1 kg of CH4 h(-1) during loading events). This study illustrates the importance of adequate measurement capacity to map methane fluxes and to verify that methane emission mitigation efforts are effective. Given the high methane emissions observed, it is important to reduce methane emissions from open storage of organic material, for example by improved digestion in the biogas reactor, precooling of sludge before storage, or building gastight storage tanks with sealed covers. We conclude that hyperspectral, ground-based remote sensing is a promising approach for greenhouse gas monitoring and mitigation., Funding Agencies|H2020 European Research Council [725546]; European Research Council (ERC) under the European Union [101015825]; European Union [VR 2016-04829]; Swedish Research Council VR [2018-01794]; FORMAS; Avfall Sverige (Project U 1000)
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- 2024
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15. Efficient Methane Monitoring with Low-Cost Chemical Sensorsand Machine Learning
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Domènech-Gil, Guillem, Nguyen, Thanh Duc, Wikner, J. Jakob, Eriksson, Jens, Puglisi, Donatella, Bastviken, David, Domènech-Gil, Guillem, Nguyen, Thanh Duc, Wikner, J. Jakob, Eriksson, Jens, Puglisi, Donatella, and Bastviken, David
- Abstract
We present a method to monitor methane at atmospheric concentrations with errors inthe order of tens of parts per billion. We use machine learning techniques and periodic calibrationswith reference equipment to quantify methane from the readings of an electronic nose. The resultsobtained demonstrate versatile and robust solution that outputs adequate concentrations in a varietyof different cases studied, including indoor and outdoor environments with emissions arising fromnatural or anthropogenic sources. Our strategy opens the path to a wide-spread use of low-costsensor system networks for greenhouse gas monitoring.
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- 2024
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16. Electronic Nose for Improved Environmental Methane Monitoring
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Domènech-Gil, Guillem, Nguyen, Thanh Duc, Wikner, Jacob, Eriksson, Jens, Nilsson Påledal, Sören, Puglisi, Donatella, Bastviken, David, Domènech-Gil, Guillem, Nguyen, Thanh Duc, Wikner, Jacob, Eriksson, Jens, Nilsson Påledal, Sören, Puglisi, Donatella, and Bastviken, David
- Abstract
Reducing emissions of the key greenhouse gas methane (CH4) is increasingly highlighted as being important to mitigate climate change. Effective emission reductions require cost-effective ways to measure CH4 to detect sources and verify that mitigation efforts work. We present here a novel approach to measure methane at atmospheric concentrations by means of a low-cost electronic nose strategy where the readings of a few sensors are combined, leading to errors down to 33 ppb and coefficients of determination, R-2, up to 0.91 for in situ measurements. Data from methane, temperature, humidity, and atmospheric pressure sensors were used in customized machine learning models to account for environmental cross-effects and quantify methane in the ppm-ppb range both in indoor and outdoor conditions. The electronic nose strategy was confirmed to be versatile with improved accuracy when more reference data were supplied to the quantification model. Our results pave the way toward the use of networks of low-cost sensor systems for the monitoring of greenhouse gases., Funding: Swedish Research Council FORMAS [2018-01794]; Swedish Research Council (Vetenskapsradet) [2016-04829, 2022-03841, 2021-0016, 725546]; European Research Council under the European Union [2017-00635]; Swedish Infrastructure for Ecosystem Science (SITES); Program SITES Water
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- 2024
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17. Molecular level seasonality of dissolved organic matter in freshwater and its impact on drinking water treatment.
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Andersson, Anna, Powers, Leanne, Harir, Mourad, Gonsior, Michael, Hertkorn, Norbert, Schmitt-Kopplin, Philippe, Kylin, Henrik, Hellström, Daniel, Pettersson, Ämma, and Bastviken, David
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- 2024
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18. Methane
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Bastviken, David, primary
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- 2022
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19. Chemosynthesis
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Enrich-Prast, Alex, primary, Machado-Silva, Fausto, additional, Bastviken, David, additional, Crill, Patrick, additional, and Signori, Camila Negrão, additional
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- 2022
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20. Annual CO2 and CH4 fluxes in coastal earthen ponds with Litopenaeus vannamei in southeastern China
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Tong, Chuan, Bastviken, David, Tang, Kam W., Yang, Ping, Yang, Hong, Zhang, Yifei, Guo, Qianqian, and Lai, Derrick Y.F.
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- 2021
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21. Using a multi-gas UAS to compare methane and nitrous oxide emissions from highly emitting process steps at wastewater treatment plants
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Gålfalk, Magnus, primary and Bastviken, David, additional
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- 2024
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22. Contribution of gas concentration and transfer velocity to CO2 flux variability in northern lakes
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Rudberg, David, primary, Schenk, Jonathan, additional, Pajala, Gustav, additional, Sawakuchi, Henrique, additional, Sieczko, Anna, additional, Sundgren, Ingrid, additional, Duc, Nguyen Thanh, additional, Karlsson, Jan, additional, MacIntyre, Sally, additional, Melack, John, additional, and Bastviken, David, additional
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- 2024
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23. Measurements of Methane Emissions from a Biofertilizer Storage Tank Using Ground-Based Hyperspectral Imaging and Flux Chambers
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Gålfalk, Magnus, primary, Påledal, Sören Nilsson, additional, Yngvesson, Johan, additional, and Bastviken, David, additional
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- 2024
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24. Supplementary material to "Reconciliation of observation- and inventory- based methane emissions for eight large global emitters"
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Petrescu, Ana Maria Roxana, primary, Peters, Glen P., additional, Engelen, Richard, additional, Houweling, Sander, additional, Brunner, Dominik, additional, Tsuruta, Aki, additional, Matthews, Bradley, additional, Patra, Prabir K., additional, Belikov, Dmitry, additional, Thompson, Rona L., additional, Höglund-Isaksson, Lena, additional, Zhang, Wenxin, additional, Segers, Arjo J., additional, Etiope, Giuseppe, additional, Ciotoli, Giancarlo, additional, Peylin, Philippe, additional, Chevallier, Frédéric, additional, Aalto, Tuula, additional, Andrew, Robbie M., additional, Bastviken, David, additional, Berchet, Antoine, additional, Broquet, Grégoire, additional, Conchedda, Giulia, additional, Gütschow, Johannes, additional, Haussaire, Jean-Matthieu, additional, Lauerwald, Ronny, additional, Markkanen, Tiina, additional, van Peet, Jacob C. A., additional, Pison, Isabelle, additional, Regnier, Pierre, additional, Solum, Espen, additional, Scholze, Marko, additional, Tenkanen, Maria, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, and Worden, John R., additional
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- 2024
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25. Reconciliation of observation- and inventory- based methane emissions for eight large global emitters
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Petrescu, Ana Maria Roxana, primary, Peters, Glen P., additional, Engelen, Richard, additional, Houweling, Sander, additional, Brunner, Dominik, additional, Tsuruta, Aki, additional, Matthews, Bradley, additional, Patra, Prabir K., additional, Belikov, Dmitry, additional, Thompson, Rona L., additional, Höglund-Isaksson, Lena, additional, Zhang, Wenxin, additional, Segers, Arjo J., additional, Etiope, Giuseppe, additional, Ciotoli, Giancarlo, additional, Peylin, Philippe, additional, Chevallier, Frédéric, additional, Aalto, Tuula, additional, Andrew, Robbie M., additional, Bastviken, David, additional, Berchet, Antoine, additional, Broquet, Grégoire, additional, Conchedda, Giulia, additional, Gütschow, Johannes, additional, Haussaire, Jean-Matthieu, additional, Lauerwald, Ronny, additional, Markkanen, Tiina, additional, van Peet, Jacob C. A., additional, Pison, Isabelle, additional, Regnier, Pierre, additional, Solum, Espen, additional, Scholze, Marko, additional, Tenkanen, Maria, additional, Tubiello, Francesco N., additional, van der Werf, Guido R., additional, and Worden, John R., additional
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- 2024
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26. Operational Effects of Aquatic Carbon Dioxide And Methane Emissions from the Belo Monte Hydropower Plant in the Xingu River, Eastern Amazonia
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de Araújo, Kleiton Rabelo, primary, Sawakuchi, Henrique Oliveira, additional, Bertassoli Junior, Dailson José, additional, Bastviken, David, additional, Pereira, Tatiana da Silva, additional, and Sawakuchi, André Oliveira, additional
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- 2024
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27. Diel variability of methane emissions from lakes
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Sieczko, Anna K., Duc, Nguyen Thanh, Schenk, Jonathan, Pajala, Gustav, Rudberg, David, Sawakuchi, Henrique O., and Bastviken, David
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- 2020
28. Radiotracer evidence that the rhizosphere is a hot-spot for chlorination of soil organic matter
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Montelius, Malin, Svensson, Teresia, Lourino-Cabana, Beatriz, Thiry, Yves, and Bastviken, David
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- 2019
29. Variability and quasi-decadal changes in the methane budget over the period 2000–2012
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Saunois, Marielle, Bousquet, Philippe, Poulter, Ben, Peregon, Anna, Ciais, Philippe, Canadell, Josep G, Dlugokencky, Edward J, Etiope, Giuseppe, Bastviken, David, Houweling, Sander, Janssens-Maenhout, Greet, Tubiello, Francesco N, Castaldi, Simona, Jackson, Robert B, Alexe, Mihai, Arora, Vivek K, Beerling, David J, Bergamaschi, Peter, Blake, Donald R, Brailsford, Gordon, Bruhwiler, Lori, Crevoisier, Cyril, Crill, Patrick, Covey, Kristofer, Frankenberg, Christian, Gedney, Nicola, Höglund-Isaksson, Lena, Ishizawa, Misa, Ito, Akihiko, Joos, Fortunat, Kim, Heon-Sook, Kleinen, Thomas, Krummel, Paul, Lamarque, Jean-François, Langenfelds, Ray, Locatelli, Robin, Machida, Toshinobu, Maksyutov, Shamil, Melton, Joe R, Morino, Isamu, Naik, Vaishali, O'Doherty, Simon, Parmentier, Frans-Jan W, Patra, Prabir K, Peng, Changhui, Peng, Shushi, Peters, Glen P, Pison, Isabelle, Prinn, Ronald, Ramonet, Michel, Riley, William J, Saito, Makoto, Santini, Monia, Schroeder, Ronny, Simpson, Isobel J, Spahni, Renato, Takizawa, Atsushi, Thornton, Brett F, Tian, Hanqin, Tohjima, Yasunori, Viovy, Nicolas, Voulgarakis, Apostolos, Weiss, Ray, Wilton, David J, Wiltshire, Andy, Worthy, Doug, Wunch, Debra, Xu, Xiyan, Yoshida, Yukio, Zhang, Bowen, Zhang, Zhen, and Zhu, Qiuan
- Subjects
Earth Sciences ,Atmospheric Sciences ,Climate Action ,Astronomical and Space Sciences ,Meteorology & Atmospheric Sciences ,Atmospheric sciences ,Climate change science - Abstract
Following the recent Global Carbon Project (GCP) synthesis of the decadal methane (CH4) budget over 2000-2012 (Saunois et al., 2016), we analyse here the same dataset with a focus on quasi-decadal and inter-annual variability in CH4 emissions. The GCP dataset integrates results from top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models (including process-based models for estimating land surface emissions and atmospheric chemistry), inventories of anthropogenic emissions, and data-driven approaches. The annual global methane emissions from top-down studies, which by construction match the observed methane growth rate within their uncertainties, all show an increase in total methane emissions over the period 2000-2012, but this increase is not linear over the 13 years. Despite differences between individual studies, the mean emission anomaly of the top-down ensemble shows no significant trend in total methane emissions over the period 2000-2006, during the plateau of atmospheric methane mole fractions, and also over the period 2008-2012, during the renewed atmospheric methane increase. However, the top-down ensemble mean produces an emission shift between 2006 and 2008, leading to 22 [16-32]Tg CH4yr-1 higher methane emissions over the period 2008-2012 compared to 2002-2006. This emission increase mostly originated from the tropics, with a smaller contribution from mid-latitudes and no significant change from boreal regions. The regional contributions remain uncertain in top-down studies. Tropical South America and South and East Asia seem to contribute the most to the emission increase in the tropics. However, these two regions have only limited atmospheric measurements and remain therefore poorly constrained. The sectorial partitioning of this emission increase between the periods 2002-2006 and 2008-2012 differs from one atmospheric inversion study to another. However, all top-down studies suggest smaller changes in fossil fuel emissions (from oil, gas, and coal industries) compared to the mean of the bottom-up inventories included in this study. This difference is partly driven by a smaller emission change in China from the top-down studies compared to the estimate in the Emission Database for Global Atmospheric Research (EDGARv4.2) inventory, which should be revised to smaller values in a near future. We apply isotopic signatures to the emission changes estimated for individual studies based on five emission sectors and find that for six individual top-down studies (out of eight) the average isotopic signature of the emission changes is not consistent with the observed change in atmospheric 13CH4. However, the partitioning in emission change derived from the ensemble mean is consistent with this isotopic constraint. At the global scale, the top-down ensemble mean suggests that the dominant contribution to the resumed atmospheric CH4 growth after 2006 comes from microbial sources (more from agriculture and waste sectors than from natural wetlands), with an uncertain but smaller contribution from fossil CH4 emissions. In addition, a decrease in biomass burning emissions (in agreement with the biomass burning emission databases) makes the balance of sources consistent with atmospheric 13CH4 observations. In most of the top-down studies included here, OH concentrations are considered constant over the years (seasonal variations but without any inter-annual variability). As a result, the methane loss (in particular through OH oxidation) varies mainly through the change in methane concentrations and not its oxidants. For these reasons, changes in the methane loss could not be properly investigated in this study, although it may play a significant role in the recent atmospheric methane changes as briefly discussed at the end of the paper.
- Published
- 2017
30. Chlorine cycling and the fate of Cl in terrestrial environments
- Author
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Svensson, Teresia, Kylin, Henrik, Montelius, Malin, Sandén, Per, and Bastviken, David
- Published
- 2021
- Full Text
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31. Global Methane Budget 2000–2020.
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Saunois, Marielle, Martinez, Adrien, Poulter, Benjamin, Zhang, Zhen, Raymond, Peter, Regnier, Pierre, Canadell, Joseph G., Jackson, Robert B., Patra, Prabir K., Bousquet, Philippe, Ciais, Philippe, Dlugokencky, Edward J., Lan, Xin, Allen, George H., Bastviken, David, Beerling, David J., Belikov, Dmitry A., Blake, Donald R., Castaldi, Simona, and Crippa, Monica
- Subjects
ATMOSPHERIC methane ,BUDGET ,WETLANDS ,BIOMASS burning ,CLIMATE change mitigation ,REMOTE-sensing images ,GAS industry - Abstract
Understanding and quantifying the global methane (CH
4 ) budget is important for assessing realistic pathways to mitigate climate change. Emissions and atmospheric concentrations of CH4 continue to increase, maintaining CH4 as the second most important human-influenced greenhouse gas in terms of climate forcing after carbon dioxide (CO2 ). The relative importance of CH4 compared to CO2 for temperature change is related to its shorter atmospheric lifetime, stronger radiative effect, and acceleration in atmospheric growth rate over the past decade, the causes of which are still debated. Two major challenges in reducing uncertainties in the factors explaining the well-observed atmospheric growth rate arise from diverse, geographically overlapping CH4 sources and from the uncertain magnitude and temporal change in the destruction of CH4 by short-lived and highly variable hydroxyl radicals (OH). To address these challenges, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to improve, synthesise and update the global CH4 budget regularly and to stimulate new research on the methane cycle. Following Saunois et al. (2016, 2020), we present here the third version of the living review paper dedicated to the decadal CH4 budget, integrating results of top-down CH4 emission estimates (based on in-situ and greenhouse gas observing satellite (GOSAT) atmospheric observations and an ensemble of atmospheric inverse-model results) and bottom-up estimates (based on process-based models for estimating land-surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations). We present a budget for the most recent 2010–2019 calendar decade (the latest period for which full datasets are available), for the previous decade of 2000–2009 and for the year 2020. The revision of the bottom-up budget in this edition benefits from important progress in estimating inland freshwater emissions, with better accounting of emissions from lakes and ponds, reservoirs, and streams and rivers. This budget also reduces double accounting across freshwater and wetland emissions and, for the first time, includes an estimate of the potential double accounting that still exists (average of 23 Tg CH4 yr-1 ). Bottom-up approaches show that the combined wetland and inland freshwater emissions average 248 [159–369] Tg CH4 yr-1 for the 2010–2019 decade. Natural fluxes are perturbed by human activities through climate, eutrophication, and land use. In this budget, we also estimate, for the first time, this anthropogenic component contributing to wetland and inland freshwater emissions. Newly available gridded products also allowed us to derive an almost complete latitudinal and regional budget based on bottom-up approaches. For the 2010–2019 decade, global CH4 emissions are estimated by atmospheric inversions (top-down) to be 575 Tg CH4 yr-1 (range 553–586, corresponding to the minimum and maximum estimates of the model ensemble). Of this amount, 369 Tg CH4 yr-1 or ~65 % are attributed to direct anthropogenic sources in the fossil, agriculture and waste and anthropogenic biomass burning (range 350–391 Tg CH4 yr-1 or 63–68 %). For the 2000–2009 period, the atmospheric inversions give a slightly lower total emission than for 2010–2019, by 32 Tg CH 4 yr-1 (range 9–40). Since 2012, global direct anthropogenic CH4 emission trends have been tracking scenarios that assume no or minimal climate mitigation policies proposed by the Intergovernmental Panel on Climate Change (shared socio-economic pathways SSP5 and SSP3). Bottom-up methods suggest 16 % (94 Tg CH4 yr-1 ) larger global emissions (669 Tg CH4 yr-1 , range 512–849) than top-down inversion methods for the 2010–2019 period. The discrepancy between the bottom-up and the top-down budgets has been greatly reduced compared to the previous differences (167 and 156 Tg CH4 yr-1 in Saunois et al. (2016, 2020), respectively), and for the first time uncertainty in bottom-up and top-down budgets overlap. The latitudinal distribution from atmospheric inversion-based emissions indicates a predominance of tropical and southern hemisphere emissions (~65 % of the global budget, <30° N) compared to mid (30° N–60° N, ~30 % of emissions) and high-northern latitudes (60° N–90° N, ~4 % of global emissions). This latitudinal distribution is similar in the bottom-up budget though the bottom-up budget estimates slightly larger contributions for the mid and high-northern latitudes, and slightly smaller contributions from the tropics and southern hemisphere than the inversions. Although differences have been reduced between inversions and bottom-up, the most important source of uncertainty in the global CH4 budget is still attributable to natural emissions, especially those from wetlands and inland freshwaters. We identify five major priorities for improving the CH4 budget: i) producing a global, high-resolution map of water-saturated soils and inundated areas emitting CH4 based on a robust classification of different types of emitting ecosystems; ii) further development of process-based models for inland-water emissions; iii) intensification of CH4 observations at local (e.g., FLUXNET-CH4 measurements, urban-scale monitoring, satellite imagery with pointing capabilities) to regional scales (surface networks and global remote sensing measurements from satellites) to constrain both bottom-up models and atmospheric inversions; iv) improvements of transport models and the representation of photochemical sinks in top-down inversions, and v) integration of 3D variational inversion systems using isotopic and/or co-emitted species such as ethane as well as information in the bottom-up inventories on anthropogenic super-emitters detected by remote sensing (mainly oil and gas sector but also coal, agriculture and landfills) to improve source partitioning. The data presented here can be downloaded from https://doi.org/10.18160/GKQ9-2RHT (Martinez et al., 2024). [ABSTRACT FROM AUTHOR]- Published
- 2024
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- View/download PDF
32. Contribution of gas concentration and transfer velocity to CO2 flux variability in northern lakes.
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Rudberg, David, Schenk, Jonathan, Pajala, Gustav, Sawakuchi, Henrique, Sieczko, Anna, Sundgren, Ingrid, Duc, Nguyen Thanh, Karlsson, Jan, MacIntyre, Sally, Melack, John, and Bastviken, David
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CARBON cycle ,LAKES ,CONCENTRATION gradient ,WATER depth ,VELOCITY ,ATMOSPHERIC carbon dioxide ,CARBON dioxide - Abstract
The CO2 flux (FCO2) from lakes to the atmosphere is a large component of the global carbon cycle and depends on the air–water CO2 concentration gradient (ΔCO2) and the gas transfer velocity (k). Both ΔCO2 and k can vary on multiple timescales and understanding their contributions to FCO2 is important for explaining variability in fluxes and developing optimal sampling designs. We measured FCO2 and ΔCO2 and derived k for one full ice‐free period in 18 lakes using floating chambers and estimated the contributions of ΔCO2 and k to FCO2 variability. Generally, k contributed more than ΔCO2 to short‐term (1–9 d) FCO2 variability. With increased temporal period, the contribution of k to FCO2 variability decreased, and in some lakes resulted in ΔCO2 contributing more than k to FCO2 variability over the full ice‐free period. Increased contribution of ΔCO2 to FCO2 variability over time occurred across all lakes but was most apparent in large‐volume southern‐boreal lakes and in deeper (> 2 m) parts of lakes, whereas k was linked to FCO2 variability in shallow waters. Accordingly, knowing the variability of both k and ΔCO2 over time and space is needed for accurate modeling of FCO2 from these variables. We conclude that priority in FCO2 assessments should be given to direct measurements of FCO2 at multiple sites when possible, or otherwise from spatially distributed measurements of ΔCO2 combined with k‐models that incorporate spatial variability of lake thermal structure and meteorology. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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33. Molecular differences between water column and sediment pore water SPE-DOM in ten Swedish boreal lakes
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Valle, Juliana, Harir, Mourad, Gonsior, Michael, Enrich-Prast, Alex, Schmitt-Kopplin, Philippe, Bastviken, David, and Hertkorn, Norbert
- Published
- 2020
- Full Text
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34. The Global Methane Budget: 2000–2012
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Saunois, Marielle, Bousquet, Philippe, Poulter, Ben, Peregon, Anna, Ciais, Philippe, Canadell, Josep G, Dlugokencky, Edward J, Etiope, Giuseppe, Bastviken, David, Houweling, Sander, Janssens-Maenhout, Greet, Tubiello, Francesco N, Castaldi, Simona, Jackson, Robert B, Alexe, Mihai, Arora, Vivek K, Beerling, David J, Bergamaschi, Peter, Blake, Donald R, Brailsford, Gordon, Brovkin, Victor, Bruhwiler, Lori, Crevoisier, Cyril, Crill, Patrick, Curry, Charles, Frankenberg, Christian, Gedney, Nicola, Höglund-Isaksson, Lena, Ishizawa, Misa, Ito, Akihiko, Joos, Fortunat, Kim, Heon-Sook, Kleinen, Thomas, Krummel, Paul, Lamarque, Jean-François, Langenfelds, Ray, Locatelli, Robin, Machida, Toshinobu, Maksyutov, Shamil, McDonald, Kyle C, Marshall, Julia, Melton, Joe R, Morino, Isamu, O'Doherty, Simon, Parmentier, Frans-Jan W, Patra, Prabir K, Peng, Changhui, Peng, Shushi, Peters, Glen P, Pison, Isabelle, Prigent, Catherine, Prinn, Ronald, Ramonet, Michel, Riley, William J, Saito, Makoto, Schroeder, Ronny, Simpson, Isobel J, Spahni, Renato, Steele, Paul, Takizawa, Atsushi, Thornton, Brett F, Tian, Hanqin, Tohjima, Yasunori, Viovy, Nicolas, Voulgarakis, Apostolos, van Weele, Michiel, van der Werf, Guido, Weiss, Ray, Wiedinmyer, Christine, Wilton, David J, Wiltshire, Andy, Worthy, Doug, Wunch, Debra B, Xu, Xiyan, Yoshida, Yukio, Zhang, Bowen, Zhang, Zhen, and Zhu, Qiuan
- Abstract
Abstract. The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH4 over the past decade. Emissions and concentrations of CH4 are continuing to increase making CH4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH4 sources that overlap geographically, and from the destruction of CH4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (~biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (T-D, exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories, and data-driven approaches (B-U, including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by T-D inversions at 558 Tg CH4 yr−1 (range [540–568]). About 60 % of global emissions are anthropogenic (range [50–65 %]). B-U approaches suggest larger global emissions (736 Tg CH4 yr−1 [596–884]) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the T-D budget, it is likely that some of the individual emissions reported by the B-U approaches are overestimated, leading to too large global emissions. Latitudinal data from T-D emissions indicate a predominance of tropical emissions (~64 % of the global budget,
- Published
- 2016
35. Electronic Nose for Improved Environmental Methane Monitoring
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Domènech-Gil, Guillem, primary, Duc, Nguyen Thanh, additional, Wikner, J. Jacob, additional, Eriksson, Jens, additional, Påledal, Sören Nilsson, additional, Puglisi, Donatella, additional, and Bastviken, David, additional
- Published
- 2023
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- View/download PDF
36. The Effects of Water Column Dissolved Oxygen Concentrations on Lake Methane Emissions—Results From a Whole‐Lake Oxygenation Experiment
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Pajala, Gustav, primary, Sawakuchi, Henrique O., additional, Rudberg, David, additional, Schenk, Jonathan, additional, Sieczko, Anna, additional, Gålfalk, Magnus, additional, Seekell, David, additional, Sundgren, Ingrid, additional, Thanh Duc, Nguyen, additional, Karlsson, Jan, additional, and Bastviken, David, additional
- Published
- 2023
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37. Rheology, Micronutrients, and Process Disturbance in Continuous Stirred-Tank Biogas Reactors
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Šafarič, Luka, primary, Björn, Annika, additional, Svensson, Bo H., additional, Bastviken, David, additional, and Shakeri Yekta, Sepehr, additional
- Published
- 2023
- Full Text
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38. Dark carbon fixation in stream carbon cycling
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Machado‐Silva, Fausto, primary, Bastviken, David, additional, Miranda, Marcio, additional, Peixoto, Roberta Bittencourt, additional, Marotta, Humberto, additional, and Enrich‐Prast, Alex, additional
- Published
- 2023
- Full Text
- View/download PDF
39. Spatial and vertical distribution of aerobic and anaerobic dark inorganic carbon fixation in coastal tropical lake sediments
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Santoro, Ana Lucia, Enrich-Prast, Alex, Bastviken, David, Tranvik, Lars, and Negrão Signori, Camila
- Published
- 2021
- Full Text
- View/download PDF
40. Delineating northern peatlands using Sentinel-1 time series and terrain indices from local and regional digital elevation models
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Karlson, Martin, Gålfalk, Magnus, Crill, Patrick, Bousquet, Philippe, Saunois, Marielle, and Bastviken, David
- Published
- 2019
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41. Innovative drinking water treatment techniques reduce the disinfection-induced oxidative stress and genotoxic activity
- Author
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Lundqvist, Johan, Andersson, Anna, Johannisson, Anders, Lavonen, Elin, Mandava, Geeta, Kylin, Henrik, Bastviken, David, and Oskarsson, Agneta
- Published
- 2019
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- View/download PDF
42. Photochemical production of polyols arising from significant photo-transformation of dissolved organic matter in the oligotrophic surface ocean
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Gonsior, Michael, Hertkorn, Norbert, Conte, Maureen H, Cooper, William J, Bastviken, David, Druffel, Ellen, and Schmitt-Kopplin, Philippe
- Published
- 2014
43. Reconciliation of observation- and inventory- based methane emissions for eight large global emitters.
- Author
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Roxana Petrescu, Ana Maria, Peters, Glen P., Engelen, Richard, Houweling, Sander, Brunner, Dominik, Tsuruta, Aki, Matthews, Bradley, Patra, Prabir K., Belikov, Dmitry, Thompson, Rona L., Höglund-Isaksson, Lena, Wenxin Zhang, Segers, Arjo J., Etiope, Giuseppe, Ciotoli, Giancarlo, Peylin, Philippe, Chevallier, Frédéric, Aalto, Tuula, Andrew, Robbie M., and Bastviken, David
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ATMOSPHERIC methane ,BIOMASS burning ,PARIS Agreement (2016) ,EMISSION inventories ,GOVERNMENT policy on climate change ,METHANE ,SOIL mineralogy - Abstract
Monitoring the spatial distribution and trends in surface greenhouse gas (GHG) fluxes, as well as flux attribution to natural and anthropogenic processes, is essential to track progress under the Paris Agreement and to inform its Global Stocktake. This study updates earlier syntheses (Petrescu et al., 2020, 2021, 2023) and provides a consolidated synthesis of CH
4 emissions using bottom-up (BU) and top-down (TD) approaches for the European Union (EU) and seven additional countries with large anthropogenic and/or natural emissions (USA, Brazil, China, India, Indonesia, Russia, and the Democratic Republic of Congo (DR Congo)). The work utilizes updated National GHG Inventories (NGHGIs) reported by Annex I Parties under the United Nations Framework Convention on Climate Change (UNFCCC) in 2023 and the latest available Biennial Update Reports (BURs) reported by non-Annex I Parties. The NGHGIs are considered in an integrated analysis that also relies on independent flux estimates from global inventory datasets, process-based models, inverse modeling and, when available, respective uncertainties. Whenever possible, it extends the period to 2021. Comparing NGHGIs with other approaches reveals that differences in the emission sources that are included in the estimate is a key source of divergence between approaches. A key system boundary difference is whether both anthropogenic and natural fluxes are included and, if they are, how fluxes belonging to these two sources are grouped/partitioned. Additionally, the natural fluxes are sensitive to the prior geospatial distribution of emissions in atmospheric inversions. Over the studied period, the total CH4 emissions in the EU, USA, and Russia show a steady decreasing trend since 1990, while for the non-EU emitters analyzed in this study, Brazil, China, India, Indonesia, and DR Congo, CH4 emissions have generally increased. In the EU, the anthropogenic BU approaches are reporting relatively similar mean emissions over 2015 to 2020 of 18.5 ± 2.7 Tg CH4 yr-1 for EDGAR v7.0, 16 Tg CH4 yr-1 for GAINS and 19 Tg CH4 yr-1 for FAOSTAT, with the NGHGI estimates of 15 ± 1.8 Tg CH4 yr-1 . Inversions give higher emission estimates as they include natural emissions. Over the same period, the three high-resolution regional inversions report a mean emission of 21 (19-25) Tg CH4 yr-1 , while the mean of six coarser-resolution global inversions results in emission estimates of 24 (23-25) Tg CH4 yr-1 . The magnitude of BU natural emissions (peatland and mineral soils, lakes and reservoirs, geological and biomass burning) accounts for 6.6 Tg CH4 yr-1 (Petrescu et al., 2023a) and explains the differences between the TD inversions and the BU estimates of anthropogenic emissions (including NGHGIs). For the other Annex I Parties in this study (USA and Russia), over 2015 to 2020, the mean of the four anthropogenic BU approaches reports 18.5 (13-27.9) Tg CH4 yr-1 for Russia and 29.1 (23.5- Tg CH4 yr-1 for the USA, against total TD mean estimates of 37 (30-43) Tg CH4 yr-1 and 43.4 (42-48) Tg CH4 yr-1 , respectively. The averaged BU and TD natural emissions account for 16.2 Tg CH4 yr-1 for Russia and 14.6 Tg CH4 yr-1 for the USA, partly explaining the gap between the BU anthropogenic and total TD emissions. For the non-Annex I Parties, anthropogenic CH4 estimates from UNFCCC BURs show large differences with the other global inventory-based estimates and even more with atmospheric-based ones. This poses an important potential challenge to monitoring the progress of the global CH4 pledge and the Global Stocktake, not only from the availability of data but also its accuracy. By systematically comparing the BU with TD methods, this study provides recommendations for more robust comparisons of available data sources and hopes to steadily engage more Parties in using observational methods to complement their UNFCCC inventories, as well as considering their natural emissions. With anticipated improvements in atmospheric modeling and observations, as well as modeling of natural fluxes, future development needs to resolve knowledge gaps in both BU and TD approaches and to better quantify remaining uncertainty. Consequently, TD methods may emerge as a powerful tool for verifying emission inventories for CH4 , and other GHGs and informing international climate policy. The referenced datasets related to figures are available at https://doi.org/10.5281/zenodo.10276087 (Petrescu et al., 2023b). [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
44. Chlorine Distribution in Soil and Vegetation in Boreal Habitats along a Moisture Gradient from Upland Forest to Lake Margin Wetlands
- Author
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Svensson, Teresia, primary, Löfgren, Anders, additional, Saetre, Peter, additional, Kautsky, Ulrik, additional, and Bastviken, David, additional
- Published
- 2023
- Full Text
- View/download PDF
45. Large but variable methane production in anoxic freshwater sediment upon addition of allochthonous and autochthonous organic matter
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Grasset, Charlotte, Mendonça, Raquel, Saucedo, Gabriella Villamor, Bastviken, David, Roland, Fabio, and Sobek, Sebastian
- Published
- 2018
46. Remote sensing of methane and nitrous oxide fluxes from waste incineration
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Gålfalk, Magnus and Bastviken, David
- Published
- 2018
- Full Text
- View/download PDF
47. Extensive processing of sediment pore water dissolved organic matter during anoxic incubation as observed by high-field mass spectrometry (FTICR-MS)
- Author
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Valle, Juliana, Gonsior, Michael, Harir, Mourad, Enrich-Prast, Alex, Schmitt-Kopplin, Philippe, Bastviken, David, Conrad, Ralf, and Hertkorn, Norbert
- Published
- 2018
- Full Text
- View/download PDF
48. Evaluating gas chromatography with a halogen-specific detector for the determination of disinfection by-products in drinking water
- Author
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Andersson, Anna, Ashiq, Muhammad Jamshaid, Shoeb, Mohammad, Karlsson, Susanne, Bastviken, David, and Kylin, Henrik
- Published
- 2019
- Full Text
- View/download PDF
49. Ecosystem Subsidies: Terrestrial Support of Aquatic Food Webs from 13 C Addition to Contrasting Lakes
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Carpenter, Stephen R., Cole, Jonathan J., Pace, Michael L., Van de Bogert, Matthew, Bade, Darren L., Bastviken, David, Gille, Caitlin M., Hodgson, James R., Kitchell, James F., and Kritzberg, Emma S.
- Published
- 2005
50. Degradation of Dissolved Organic Matter in Oxic and Anoxic Lake Water
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Bastviken, David, Persson, Linn, Odham, Göran, and Tranvik, Lars
- Published
- 2004
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