World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Evaluation of a Plot Scale Methane Emission Model at the Ecosystem Scale Using Eddy Covariance Observations and Footprint Modelling : Volume 11, Issue 3 (11/03/2014)

By Budishchev, A.

Click here to view

Book Id: WPLBN0004004900
Format Type: PDF Article :
File Size: Pages 35
Reproduction Date: 2015

Title: Evaluation of a Plot Scale Methane Emission Model at the Ecosystem Scale Using Eddy Covariance Observations and Footprint Modelling : Volume 11, Issue 3 (11/03/2014)  
Author: Budishchev, A.
Volume: Vol. 11, Issue 3
Language: English
Subject: Science, Biogeosciences, Discussions
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Huissteden, J. V., Mi, Y., Belelli-Marchesini, L., Dolman, A. J., W. Parmentie, F. J., Schaepman-Strub, G.,...Gallagher, A. (2014). Evaluation of a Plot Scale Methane Emission Model at the Ecosystem Scale Using Eddy Covariance Observations and Footprint Modelling : Volume 11, Issue 3 (11/03/2014). Retrieved from

Description: Earth and Climate Cluster, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands. Most plot-scale methane emission models – of which many have been developed in the recent past – are validated using data collected with the closed-chamber technique. This method, however, suffers from a low spatial representativeness and a poor temporal resolution. Also, during a chamber-flux measurement the air within a chamber is separated from the ambient atmosphere, which negates the influence of wind on emissions.

Additionally, some methane models are validated by upscaling fluxes based on the area-weighted averages of closed-chamber measurements, and by comparing those to the eddy covariance (EC) flux. This technique is rather inaccurate, as the area of upscaling might be different from the EC tower footprint, therefore introducing significant mismatch.

In this study, we present an approach to validate plot-scale methane models with EC observations using the footprint-weighted average method. Our results show that the fluxes obtained by the footprint-weighted average method are of the same magnitude as the EC flux. More importantly, the temporal dynamics of the EC flux on a daily time scale are also captured (r2 = 0.7). In contrast, using the area-weighted average method yielded a low (r2 = 0.14) correlation with the EC measurements and an underestimation of methane emissions by 27.4%. This shows that the footprint-weighted average method is preferable when validating methane emission models with EC fluxes for areas with a heterogeneous and irregular vegetation pattern.

Evaluation of a plot scale methane emission model at the ecosystem scale using eddy covariance observations and footprint modelling

Aubinet, M., Grelle, A., Ibrom, A., Rannik, Ü., Moncrieff, J., Foken, T., Kowalski, A. S., Martin, P. H., Berbigier, P., Bernhofer, Ch., Clement, R., Elbers, J., Granier, A., Grünwald, T., Morgenstern, K., Pilegaard, K., Rebmann C., Snijders, W., Valentini, R., and Vesala, T.: Estimates of the annual net carbon and water exchange of forests: the EUROFLUX methodology., Adv. Ecol. Res., 30, 113–175, 2000.; Aubinet, M., Vesala, T., and Papale, D.: Eddy covariance: a practical guide to measurement and data analysis, Springer, Dordrecht, the Netherlands, 2012.; Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Glob. Change Biol., 9, 479–492, 2003.; Becker, T., Kutzbach, L., Forbrich, I., Schneider, J., Jager, D., Thees, B., and Wilmking, M.: Do we miss the hot spots? – The use of very high resolution aerial photographs to quantify carbon fluxes in peatlands, Biogeosciences, 5, 1387–1393, doi:10.5194/bg-5-1387-2008, 2008.; Bekki, S. and Law, K. S.: Sensitivity of the atmospheric CH4 growth rate to global temperature changes observed from 1980 to 1992, Tellus B, 49, 409–416, 1997.; Bubier, J. L.: The relationship of vegetation to methane emission and hydrochemical gradients in northern peatlands, J. Ecol., 83, 403–420, 1995.; Cao, M., Marshall, S., and Gregson, K.: Global carbon exchange and methane emissions from natural wetlands: application of a process-based model, J. Geophys. Res., 101, 14399–14414, 1996.; Christensen, T. R., Prentice, I. C., Kaplan, J., Haxeltine, A., and Sitch, S.: Methane flux from northern wetlands and tundra, Tellus B, 48, 652–661, 1996.; Christensen, T. R., Johansson, T., Åkerman, H. J., Mastepanov, M., Malmer, N., Friborg, T., Crill, P., and Svensson, B. H.: Thawing sub-arctic permafrost: effects on vegetation and methane emissions, Geophys. Res. Lett., 31, L04501, doi:10.1029/2003GL018680, 2004.; Foken, T. and Leclerc, M. Y.: Methods and limitations in validation of footprint models, Agr. Forest Meteorol., 127, 223–234, 2004.; Forbrich, I., Kutzbach, L., Wille, C., Becker, T., Wu, J., and Wilmking, M.: Cross-evaluation of measurements of peatland methane emissions on microform and ecosystem scales using high-resolution landcover classification and source weight modelling, Agr. Forest Meteorol., 151, 864–874, 2011.; Granberg, G., Grip, H., Löfvenius, M. O., Sundh, I., Svensson, B., and Nilsson, M.: A simple model for simulation of water content, soil frost, and soil temperatures in boreal mixed mires, Water Resour. Res., 35, 3771–3782, 1999.; Hargreaves, K. J. and Fowler, D.: Quantifying the effects of water table and soil temperature on the emission of methane from peat wetland at the field scale, Atmos. Environ., 32, 3275–3282, 1998.; Haxeltine, A., Prentice, I. C., and Creswell, I. D.: A coupled carbon and water flux model to predict vegetation structure, J. Veg. Sci., 7, 651–666, 1996.; Hendriks, D. M. D., Dolman, A. J., van der Molen, M. K., and van Huissteden, J.: A compact and stable eddy covariance set-up for methane measurements using off-axis integrated cavity output spectroscopy, Atmos. Chem. Phys., 8, 431–443, doi:10.5194/acp-8-431-2008, 2008.; Hinkel, K. M., Eisner, W. R., Bockheim, J. G., Nelson, F. E., Peterson, K. M., and Dai, X.: Spatial extent, age, and carbon stocks in drained thaw lake basins on the Barrow Peninsula, Alaska, Arct. Antarct. Alp. Res., 35, 291–300, 2003.; Hunter, J. D.: Matplotlib: a 2-D graphics environment, Comput. Sci. Eng., 9, 90–95, doi:10.1109/mcse.2007.55, 2007.; Kellner, E., Baird, A. J., Oosterwoud, M., Harrison, K., and Waddington, J. M.: Effect of temperature and atmospheric pressure on methan


Click To View

Additional Books

  • MacRofaunal Assemblages from Mud Volcano... (by )
  • Spatialized N Budgets in a Large Agricul... (by )
  • Oxygen Isotope Ratios in the Shell of My... (by )
  • Carbon Cycling in the Arctic Archipelago... (by )
  • Nitrous Oxide in the North Atlantic Ocea... (by )
  • Potential and Limitations of Finite Elem... (by )
  • Moderate Forest Disturbance as a Stringe... (by )
  • Coral Records of Reef-water Ph Across th... (by )
  • Detection and Attribution of Global Chan... (by )
  • Bacterial Diversity in Himalayan Glacial... (by )
  • X-ray Fluorescence Mapping of Mercury on... (by )
  • Anthropogenic and Biophysical Contributi... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from National Public Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.