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Diel, seasonal, and inter-annual variation in carbon dioxide effluxes from lakes and reservoirs

文献类型: 外文期刊

作者: Golub, Malgorzata 1 ; Koupaei-Abyazani, Nikaan 2 ; Vesala, Timo 3 ; Mammarella, Ivan 3 ; Ojala, Anne 5 ; Bohrer, Gil 6 ; Weyhenmeyer, Gesa A. 7 ; Blanken, Peter D. 8 ; Eugster, Werner 9 ; Koebsch, Franziska 10 ; Chen, Jiquan 11 ; Czajkowski, Kevin 12 ; Deshmukh, Chandrashekhar 13 ; Guerin, Frederic 14 ; Heiskanen, Jouni 15 ; Humphreys, Elyn 16 ; Jonsson, Anders 17 ; Karlsson, Jan 18 ; Kling, George 19 ; Lee, Xuhui 20 ; Liu, Heping 21 ; Lohila, Annalea 3 ; Lundin, Erik 23 ; Morin, Tim 24 ; Podgrajsek, Eva 25 ; Provenzale, Maria 26 ; Rutgersson, Anna 1 ; Sachs, Torsten 10 ; Sahlee, Erik 27 ; Serca, Dominique 28 ; Shao, Changliang 29 ; Spence, Christopher 30 ; Strachan, Ian B. 31 ; Xiao, Wei 32 ; Desai, Ankur R. 2 ;

作者机构: 1.Dundalk Inst Technol, Ctr Freshwater & Environm Studies, Dundalk, Ireland

2.Univ Wisconsin Madison, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA

3.Univ Helsinki, Inst Atmospher & Earth Syst Res INAR Phys, Fac Sci, Helsinki, Finland

4.Univ Helsinki, INAR Forest Sci, Fac Agr & Forestry, Helsinki, Finland

5.Nat Resources Inst Finland, Helsinki, Finland

6.Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH USA

7.Uppsala Univ, Dept Ecol & Genet Limnol, Uppsala, Sweden

8.Univ Colorado, Dept Geog, Boulder, CO USA

9.Swiss Fed Inst Technol, Zurich, Switzerland

10.GFZ German Res Ctr Geosci, Potsdam, Germany

11.Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI USA

12.Univ Toledo, Dept Geog & Planning, Toledo, OH USA

13.APRIL Asia, Lab Aerol, Observ Midi Pyrenees, Toulouse, France

14.IRD Marseille, Toulouse, France

15.Univ Helsinki, Fac Biol & Environm Sci, Helsinki, Finland

16.Carleton Univ, Geog & Environm Studies, Ottawa, ON, Canada

17.Umea Univ, Dept Ecol & Environm Sci, Umea, Sweden

18.Umea Univ, Climate Impacts Res Ctr CIRC, Dept Ecol & Environm Sci, Umea, Sweden

19.Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI USA

20.Yale Univ, Sch Environm, New Haven, CT USA

21.Washington State Univ, Dept Civil & Environm Engn, Pullman, WA USA

22.Finnish Meteorol Inst, Climate Syst Res, Helsinki, Finland

23.Swedish Polar Res Secretariat, Abisko Sci Res Stn, Abisko, Sweden

24.SUNY Coll Environm Sci & Forestry, Syracuse, NY USA

25.OX2, Stockholm, Sweden

26.Univ Helsinki, Inst Atmospher & Earth Syst Res INAR, Dept Phys, Helsinki, Finland

27.Uppsala Univ, Dept Earth Sci, Uppsala, Sweden

28.Univ Toulouse, Lab Aerol, CNRS, UPS, Toulouse, France

29.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, Peoples R China

30.Environm & Climate Change Canada, Saskatoon, SK, Canada

31.Queens Univ, Dept Geog & Planning, Kingston, ON, Canada

32.Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, Nanjing, Jiangsu, Peoples R China

关键词: eddy covariance; freshwater systems; lakes; reservoirs; carbon flux; synthesis

期刊名称:ENVIRONMENTAL RESEARCH LETTERS ( 影响因子:6.7; 五年影响因子:7.8 )

ISSN: 1748-9326

年卷期: 2023 年 18 卷 3 期

页码:

收录情况: SCI

摘要: Accounting for temporal changes in carbon dioxide (CO2) effluxes from freshwaters remains a challenge for global and regional carbon budgets. Here, we synthesize 171 site-months of flux measurements of CO2 based on the eddy covariance method from 13 lakes and reservoirs in the Northern Hemisphere, and quantify dynamics at multiple temporal scales. We found pronounced sub-annual variability in CO2 flux at all sites. By accounting for diel variation, only 11% of site-months were net daily sinks of CO2. Annual CO2 emissions had an average of 25% (range 3%-58%) interannual variation. Similar to studies on streams, nighttime emissions regularly exceeded daytime emissions. Biophysical regulations of CO2 flux variability were delineated through mutual information analysis. Sample analysis of CO2 fluxes indicate the importance of continuous measurements. Better characterization of short- and long-term variability is necessary to understand and improve detection of temporal changes of CO2 fluxes in response to natural and anthropogenic drivers. Our results indicate that existing global lake carbon budgets relying primarily on daytime measurements yield underestimates of net emissions.

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