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Modelling CO2 and energy exchanges in a northern...
Journal article

Modelling CO2 and energy exchanges in a northern semiarid grassland using the carbon- and nitrogen-coupled Canadian Land Surface Scheme (C-CLASS)

Abstract

The development of carbon (C) and nitrogen (N) simulations is one of the ongoing efforts in the land surface schemes of climate models. The C- and N-coupled Canadian Land Surface Scheme (C-CLASS) was recently modified to better represent grassland ecosystems. Improvements include revised plant growth and senescence calculations that are driven by the plant C balance between fixation and respiration, and leaf-out and leaf-fall schemes that are regulated by the seasonal dynamics of C and N reserves. These revisions were developed to better simulate the stress-related senescence and regrowth of perennials. The model was tested with observations of surface carbon and energy fluxes, soil temperature and moisture, and plant growth during 3 years of declining precipitation at a northern semiarid grassland near Lethbridge, Alberta, Canada. The R2 and standard deviations between the simulated and observed half-hourly fluxes were 0.95 and 22.5Wm−2 for net radiation, 0.82 and 42.1Wm−2 for sensible heat, 0.66 and 29.2Wm−2 for latent heat, and 0.63 and 0.95μmolCm−2s−1 for net CO2 exchange. The model and observations both showed a strong impact of declining precipitation on annual carbon budgets in this semi-arid grassland. In a wet year (1998, precipitation = 482mm), the ecosystem acted as a strong C sink (92gCm−2 modelled and 109gCm−2 measured from June 20th to December 31st). In a near-normal year (1999, precipitation = 341mm), a smaller C sink was indicated (24gCm−2 modelled and 21gCm−2 measured). In a dry year (2000, precipitation = 276mm), the ecosystem acted as a small C source (−18gCm−2 modelled and −17gCm−2 measured).

Authors

Zhang Y; Grant RF; Flanagan LB; Wang S; Verseghy DL

Journal

Ecological Modelling, Vol. 181, No. 4, pp. 591–614

Publisher

Elsevier

Publication Date

February 10, 2005

DOI

10.1016/j.ecolmodel.2004.07.007

ISSN

0304-3800

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