Articles | Volume 8, issue 7
https://doi.org/10.5194/gmd-8-2035-2015
https://doi.org/10.5194/gmd-8-2035-2015
Development and technical paper
 | 
13 Jul 2015
Development and technical paper |  | 13 Jul 2015

A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes

K. Naudts, J. Ryder, M. J. McGrath, J. Otto, Y. Chen, A. Valade, V. Bellasen, G. Berhongaray, G. Bönisch, M. Campioli, J. Ghattas, T. De Groote, V. Haverd, J. Kattge, N. MacBean, F. Maignan, P. Merilä, J. Penuelas, P. Peylin, B. Pinty, H. Pretzsch, E. D. Schulze, D. Solyga, N. Vuichard, Y. Yan, and S. Luyssaert

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Cited articles

Amiro, B., Barr, A., Black, T., Iwashita, H., Kljun, N., Mccaughey, J., Mogenstern, K., Murayama, S., Nesic, Z., and Orchansky, A.: Carbon, energy and water fluxes at mature and disturbed forest sites, Saskatchewan, Canada, Agr. Forest Meteorol., 136, 237–251, https://doi.org/10.1016/j.agrformet.2004.11.012, 2006a.
Amiro, B., Orchansky, A., Barr, A., Black, T., Chambers, S., Chapin III, F., Goulden, M., Litvak, M., Liu, H., McCaughey, J., McMillan, A., and Randerson, J.: The effect of post-fire stand age on the boreal forest energy balance, Agr. Forest Meteorol., 140, 41–50, https://doi.org/10.1016/j.agrformet.2006.02.014, 2006b.
Amthor, J. S.: The role of maintenance respiration in plant growth., Plant Cell Environ., 7, 561–569, https://doi.org/10.1111/1365-3040.ep11591833, 1984.
Bala, G., Caldeira, K., Wickett, M., Phillips, T. J., Lobell, D. B., Delire, C., and Mirin, A.: Combined climate and carbon-cycle effects of large-scale deforestation., Proc. Natl. Aca. Sci. USA, 104, 6550–6555, https://doi.org/10.1073/pnas.0608998104, 2007.
Baldocchi, D.: A multi-layer model for estimating sulfur dioxide deposition to a deciduous oak forest canopy, Atmos. Environ., 22, 869–884, https://doi.org/10.1016/0004-6981(88)90264-8, 1988.
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Short summary
Despite the potential of forest management to mitigate climate change, none of today's predictions of future climate accounts for the impact of forest management. To address this gap in modelling capability, we developed and parametrised a land-surface model to simulate biogeochemical and biophysical effects of forest management. Comparison of model output against data showed an increased model performance in reproducing large-scale spatial patterns and inter-annual variability over Europe.
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