More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau

被引:1
作者
Liu, Zhenhai [1 ,2 ,3 ]
Chen, Bin [1 ,3 ]
Wang, Shaoqiang [1 ,2 ,4 ,5 ]
Xu, Xiyan [6 ]
Chen, Huai [7 ,8 ]
Liu, Xinwei [7 ,8 ]
He, Jin-Sheng [9 ,10 ,11 ]
Wang, Jianbin [9 ]
Wang, Jinsong [1 ]
Chen, Jinghua [1 ]
Wang, Xiaobo [1 ]
Zheng, Chen [1 ,2 ]
Zhu, Kai [1 ,2 ]
Wang, Xueqing [1 ,2 ]
机构
[1] Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Key Lab Coupling Proc & Effect Nat Resources Eleme, Beijing 100055, Peoples R China
[4] China Univ Geosci, Sch Geog & Informat Engn, Hubei Key Lab Reg Ecol & Environm Change, Wuhan 430078, Peoples R China
[5] Minist Nat Resources, Technol Innovat Ctr Intelligent Monitoring & Spati, Wuhan 430078, Peoples R China
[6] Chinese Acad Sci, Key Lab Reg Climate Environm Temperate East Asia, Inst Atmospher Phys, Beijing 100029, Peoples R China
[7] Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat &, Chengdu 610041, Peoples R China
[8] Chinese Acad Sci, Zoige Peatland & Global Change Res Stn, Hongyuan 624400, Peoples R China
[9] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou 730000, Peoples R China
[10] Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing 100871, Peoples R China
[11] Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
关键词
Methane exchange; The Qinghai-Tibetan Plateau; Temperature sensitivity; Seasonality; Data integration; Machine learning; EDDY COVARIANCE; EMISSIONS; CONSUMPTION; PERMAFROST; WETLANDS; FLUXES; SOILS; CH4; RESPIRATION; DEGRADATION;
D O I
10.1016/j.scitotenv.2024.170438
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Uncertainty in methane (CH4) exchanges across wetlands and grasslands in the Qinghai -Tibetan Plateau (QTP) is projected to increase due to continuous permafrost degradation and asymmetrical seasonal warming. Temperature plays a vital role in regulating CH4 exchange, yet the seasonal patterns of temperature dependencies for CH4 fluxes over the wetlands and grasslands on the QTP remain poorly understood. Here, we demonstrated a stronger warming response of CH4 exchanges during the non -growing season compared to the growing season on the QTP. Analyzing 9745 daily observations and employing four methods -regression fitting of temperatureCH4 flux, temperature dependence calculations, field -based and model -based control experiments-we found that warming intensified CH4 emissions in wetlands and uptakes in grasslands. Specifically, the average reaction intensity in the non -growing season surpasses that in the growing season by 1.89 and 4.80 times, respectively. This stronger warming response of CH4 exchanges during the non -growing season significantly increases the regional CH4 exchange on the QTP. Our research reveals that CH4 exchanges in the QTP have a higher warming sensitivity in non -growing seasons, which meanwhile are dominated by a larger warming rate than the annual average. The combined effects of these two factors will significantly alter the CH4 source/sink on the QTP. Neglecting these impacts would lead to inaccurate estimations of CH4 source/sink over the QTP under climate warming.
引用
收藏
页数:10
相关论文
共 72 条
  • [1] Snow melt stimulates ecosystem respiration in Arctic ecosystems
    Arndt, Kyle A.
    Lipson, David A.
    Hashemi, Josh
    Oechel, Walter C.
    Zona, Donatella
    [J]. GLOBAL CHANGE BIOLOGY, 2020, 26 (09) : 5042 - 5051
  • [2] Baldocchi D, 2001, B AM METEOROL SOC, V82, P2415, DOI 10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO
  • [3] 2
  • [4] Wetland Heterogeneity Determines Methane Emissions: A Pan- Arctic Synthesis
    Bao, Tao
    Jia, Gensuo
    Xu, Xiyan
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (14) : 10152 - 10163
  • [5] Climatic and associated cryospheric, biospheric, and hydrological changes on the Tibetan Plateau: a review
    Bibi, Sadia
    Wang, Lei
    Li, Xiuping
    Zhou, Jing
    Chen, Deliang
    Yao, Tandong
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 : E1 - E17
  • [6] Permafrost is warming at a global scale
    Biskaborn, Boris K.
    Smith, Sharon L.
    Noetzli, Jeannette
    Matthes, Heidrun
    Vieira, Goncalo
    Streletskiy, Dmitry A.
    Schoeneich, Philippe
    Romanovsky, Vladimir E.
    Lewkowicz, Antoni G.
    Abramov, Andrey
    Allard, Michel
    Boike, Julia
    Cable, William L.
    Christiansen, Hanne H.
    Delaloye, Reynald
    Diekmann, Bernhard
    Drozdov, Dmitry
    Etzelmueller, Bernd
    Grosse, Guido
    Guglielmin, Mauro
    Ingeman-Nielsen, Thomas
    Isaksen, Ketil
    Ishikawa, Mamoru
    Johansson, Margareta
    Johannsson, Halldor
    Joo, Anseok
    Kaverin, Dmitry
    Kholodov, Alexander
    Konstantinov, Pavel
    Kroeger, Tim
    Lambiel, Christophe
    Lanckman, Jean-Pierre
    Luo, Dongliang
    Malkova, Galina
    Meiklejohn, Ian
    Moskalenko, Natalia
    Oliva, Marc
    Phillips, Marcia
    Ramos, Miguel
    Sannel, A. Britta K.
    Sergeev, Dmitrii
    Seybold, Cathy
    Skryabin, Pavel
    Vasiliev, Alexander
    Wu, Qingbai
    Yoshikawa, Kenji
    Zheleznyak, Mikhail
    Lantuit, Hugues
    [J]. NATURE COMMUNICATIONS, 2019, 10 (1)
  • [7] Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product
    Bodesheim, Paul
    Jung, Martin
    Gans, Fabian
    Mahecha, Miguel D.
    Reichstein, Markus
    [J]. EARTH SYSTEM SCIENCE DATA, 2018, 10 (03) : 1327 - 1365
  • [8] WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia
    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.
    Kaplan, J. O.
    [J]. BIOGEOSCIENCES, 2015, 12 (11) : 3321 - 3349
  • [9] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [10] Brown J., 2002, CIRCUMARCTIC MAP PER, DOI [10.7265/skbg-kf16, DOI 10.7265/SKBG-KF16]