Spatial and temporal dynamics in eddy covariance observations of methane fluxes at a tundra site in northeastern Siberia

被引:65
|
作者
Parmentier, F. J. W. [1 ,2 ]
van Huissteden, J. [1 ]
van der Molen, M. K. [3 ]
Schaepman-Strub, G. [4 ]
Karsanaev, S. A. [5 ]
Maximov, T. C. [5 ]
Dolman, A. J. [1 ]
机构
[1] Vrije Univ Amsterdam, Fac Earth & Life Sci, Dept Hydrol & Geoenvironm Sci, NL-1081 HV Amsterdam, Netherlands
[2] Lund Univ, Dept Earth & Ecosyst Sci, Div Phys Geog & Ecosyst Anal, SE-22362 Lund, Sweden
[3] Wageningen Univ, Meteorol & Air Qual Grp, NL-6708 PB Wageningen, Netherlands
[4] Univ Zurich, Inst Evolutionary Biol & Environm Studies, CH-8057 Zurich, Switzerland
[5] Inst Biol Problems Cryolithozone SB RAS, BioGeochem Cycles Permafrost Ecosyst Lab, Yakutsk 677980, Russia
关键词
CARBON-DIOXIDE; ARCTIC TUNDRA; CLIMATE-CHANGE; WATER-VAPOR; NET CARBON; EXCHANGE; ATMOSPHERE; CO2; EMISSION; SYSTEM;
D O I
10.1029/2010JG001637
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the past two decades, the eddy covariance technique has been used for an increasing number of methane flux studies at an ecosystem scale. Previously, most of these studies used a closed path setup with a tunable diode laser spectrometer (TDL). Although this method worked well, the TDL has to be calibrated regularly and cooled with liquid nitrogen or a cryogenic system, which limits its use in remote areas. Recently, a new closed path technique has been introduced that uses off-axis integrated cavity output spectroscopy that does not require regular calibration or liquid nitrogen to operate and can thus be applied in remote areas. In the summer of 2008 and 2009, this eddy covariance technique was used to study methane fluxes from a tundra site in northeastern Siberia. The measured emissions showed to be very dependent on the fetch area, due to a large contrast in dry and wet vegetation in between wind directions. Furthermore, the observed short-and long-term variation of methane fluxes could be readily explained with a nonlinear model that used relationships with atmospheric stability, soil temperature, and water level. This model was subsequently extended to fieldwork periods preceding the eddy covariance setup and applied to evaluate a spatially integrated flux. The model result showed that average fluxes were 56.5, 48.7, and 30.4 nmol CH4 m(-2) s(-1) for the summers of 2007 to 2009. While previous models of the same type were only applicable to daily averages, the method described can be used on a much higher temporal resolution, making it suitable for gap filling. Furthermore, by partitioning the measured fluxes along wind direction, this model can also be used in areas with nonuniform terrain but nonetheless provide spatially integrated fluxes.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Seasonal Variation of Methane Fluxes in a Mangrove Ecosystem in South India: An Eddy Covariance-Based Approach
    Gnanamoorthy, Palingamoorthy
    Chakraborty, S.
    Nagarajan, R.
    Ramasubramanian, R.
    Selvam, V.
    Burman, Pramit Kumar Deb
    Sarathy, P. Partha
    Zeeshan, Mohd
    Song, Qinghai
    Zhang, Yiping
    ESTUARIES AND COASTS, 2022, 45 (02) : 551 - 566
  • [22] Studying the spatial variability of methane flux with five eddy covariance towers of varying height
    Peltola, O.
    Hensen, A.
    Marchesini, L. Belelli
    Helfter, C.
    Bosveld, F. C.
    van den Bulk, W. C. M.
    Haapanala, S.
    van Huissteden, J.
    Laurila, T.
    Lindroth, A.
    Nemitz, E.
    Rockmann, T.
    Vermeulen, A. T.
    Mammarella, I.
    AGRICULTURAL AND FOREST METEOROLOGY, 2015, 214 : 456 - 472
  • [23] Methane fluxes measured by eddy covariance and static chamber techniques at a temperate forest in central Ontario, Canada
    Wang, J. M.
    Murphy, J. G.
    Geddes, J. A.
    Winsborough, C. L.
    Basiliko, N.
    Thomas, S. C.
    BIOGEOSCIENCES, 2013, 10 (06) : 4371 - 4382
  • [24] Application of an open-path eddy covariance methane flux measurement system to a larch forest in eastern Siberia
    Nakai, Taro
    Hiyama, Tetsuya
    Petrov, Roman E.
    Kotani, Ayumi
    Ohta, Takeshi
    Maximov, Trofim C.
    AGRICULTURAL AND FOREST METEOROLOGY, 2020, 282
  • [25] Contrasting temporal dynamics of methane and carbon dioxide emissions from a eutrophic reservoir detected by eddy covariance measurements
    Spank, Uwe
    Bernhofer, Christian
    Mauder, Matthias
    Keller, Philipp S.
    Koschorreck, Matthias
    METEOROLOGISCHE ZEITSCHRIFT, 2023, 32 (04) : 317 - 342
  • [26] Spatial and temporal variations in plant water-use efficiency inferred from tree-ring, eddy covariance and atmospheric observations
    Dekker, Stefan C.
    Groenendijk, Margriet
    Booth, Ben B. B.
    Huntingford, Chris
    Cox, Peter M.
    EARTH SYSTEM DYNAMICS, 2016, 7 (02) : 525 - 533
  • [27] Variation in CO2 and CH4 fluxes among land cover types in heterogeneous Arctic tundra in northeastern Siberia
    Juutinen, Sari
    Aurela, Mika
    Tuovinen, Juha-Pekka
    Ivakhov, Viktor
    Linkosalmi, Maiju
    Rasanen, Aleksi
    Virtanen, Tarmo
    Mikola, Juha
    Nyman, Johanna
    Vaha, Emmi
    Loskutova, Marina
    Makshtas, Alexander
    Laurila, Tuomas
    BIOGEOSCIENCES, 2022, 19 (13) : 3151 - 3167
  • [28] Evaluation of a plot-scale methane emission model using eddy covariance observations and footprint modelling
    Budishchev, A.
    Mi, Y.
    van Huissteden, J.
    Belelli-Marchesini, L.
    Schaepman-Strub, G.
    Parmentier, F. J. W.
    Fratini, G.
    Gallagher, A.
    Maximov, T. C.
    Dolman, A. J.
    BIOGEOSCIENCES, 2014, 11 (17) : 4651 - 4664
  • [29] A Season of Eddy-Covariance Fluxes Above an Extensive Water Body Based on Observations from a Floating Platform
    Spank, Uwe
    Hehn, Markus
    Keller, Philipp
    Koschorreck, Matthias
    Bernhofer, Christian
    BOUNDARY-LAYER METEOROLOGY, 2020, 174 (03) : 433 - 464
  • [30] Methane and carbon dioxide fluxes over a lake: comparison between eddy covariance, floating chambers and boundary layer method
    Erkkila, Kukka-Maaria
    Ojala, Anne
    Bastviken, David
    Biermann, Tobias
    Heiskanen, Jouni J.
    Lindroth, Anders
    Peltola, Olli
    Rantakari, Miitta
    Vesala, Timo
    Mammarella, Ivan
    BIOGEOSCIENCES, 2018, 15 (02) : 429 - 445