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Comparing terrestrial carbon fluxes from the scale of a flux tower to the global scale

Author

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  • Sasai, T.
  • Okamoto, K.
  • Hiyama, T.
  • Yamaguchi, Y.

Abstract

There are a number of outstanding important issues in terms of estimating terrestrial carbon fluxes; one of these is the spatial scaling issue. The purpose of the present study is to document the spatial scaling effect in terms of the terrestrial carbon flux measured at the point-scale and satellite-driven modeling at the global scale. To achieve this, the biosphere model BEAMS was used at the point, regional, and global scales using the same model conditions and parameters; we then compared the BEAMS output for the three different scales and ground measurements. The three sets of results showed reasonably similar spatial and temporal patterns. Temporal variations in the estimated GPP at point-scale showed good agreement with the ground measurements (R2=0.84). The spatial distributions of the annual mean GPP and NPP at the regional-scale revealed high values over hilly areas and plateaus, gradually decreasing toward urban areas and high mountains. Ground-observed, point-scale, and regional-scale GPP values show almost identical seasonal patterns. The correlation coefficient for the regional-scale and global-scale monthly mean NPP values is 0.77. In particular, the NPP calculated at the different scales for three areas showed a strong correlation (R2=0.81). As ground measurements are strongly reflected in the output of the global-scale simulation, we conclude that model validation at the point-scale is important when performing global-scale simulations.

Suggested Citation

  • Sasai, T. & Okamoto, K. & Hiyama, T. & Yamaguchi, Y., 2007. "Comparing terrestrial carbon fluxes from the scale of a flux tower to the global scale," Ecological Modelling, Elsevier, vol. 208(2), pages 135-144.
    • Handle: RePEc:eee:ecomod:v:208:y:2007:i:2:p:135-144
    DOI: 10.1016/j.ecolmodel.2007.05.014
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    Cited by:

    1. Mekonnen, Zelalem A. & Grant, Robert F. & Schwalm, Christopher, 2016. "Sensitivity of modeled NEP to climate forcing and soil at site and regional scales: Implications for upscaling ecosystem models," Ecological Modelling, Elsevier, vol. 320(C), pages 241-257.
    2. Yan, Hao & Wang, Shao-qiang & Billesbach, Dave & Oechel, Walter & Bohrer, Gil & Meyers, Tilden & Martin, Timothy A. & Matamala, Roser & Phillips, Richard P. & Rahman, Faiz & Yu, Qin & Shugart, Herman , 2015. "Improved global simulations of gross primary product based on a new definition of water stress factor and a separate treatment of C3 and C4 plants," Ecological Modelling, Elsevier, vol. 297(C), pages 42-59.
    3. Sasai, Takahiro & Nakai, Saori & Setoyama, Yuko & Ono, Keisuke & Kato, Soushi & Mano, Masayoshi & Murakami, Kazutaka & Miyata, Akira & Saigusa, Nobuko & Nemani, Ramakrishna R. & Nasahara, Kenlo N., 2012. "Analysis of the spatial variation in the net ecosystem production of rice paddy fields using the diagnostic biosphere model, BEAMS," Ecological Modelling, Elsevier, vol. 247(C), pages 175-189.
    4. Shi, Yusheng & Sasai, Takahiro & Yamaguchi, Yasushi, 2014. "Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001–2010," Ecological Modelling, Elsevier, vol. 272(C), pages 98-115.

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