Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-26T09:59:39.978Z Has data issue: false hasContentIssue false

Modelling the impact of environmental changes on grassland systems with SPACSYS

Published online by Cambridge University Press:  17 February 2015

L. Wu*
Affiliation:
Sustainable Soil and Grassland Systems Department, Rothamsted Research, North Wyke, Okhempton EX20 2SB, UK
A. P. Whitmore
Affiliation:
Sustainable Soil and Grassland Systems Department, Rothamsted Research, Harpenden, AL5 2JQ, UK
G. Bellocchi
Affiliation:
French National Institute for Agricultural Research, Grassland Ecosystems Research Unit, 63039 Clermont-Ferrand, France
*
E-mail: [email protected]
Get access

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Full Paper
Copyright
© The Animal Consortium 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Smith, P, Smith, JU, Powlson, DS, McGill, WB, Arah, JRM, Chertov, OG, Coleman, K, Franko, U, Frolking, S, Jenkinson, DS, Jensen, LS, Kelly, RH, Klein-Gunnewiek, H, Komarov, AS, Molina, JAE, Mueller, T, Parton, WJ, Thornley, JHM and Whitmore, AP 1997. A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma 81, 153225.Google Scholar
Wu, L, Bingham, IJ, Baddeley, JA and Watson, CA 2009. Modeling plant nitrogen uptake using three-dimensional and one-dimensional root architecture. In Quantifying and understanding plant nitrogen uptake systems modeling (ed. L Ma, LR Ahuja and TW Bruulsema), pp. 197218. CRC Press, Boca Raton, FL.Google Scholar
Wu, L, McGechan, MB, McRoberts, N, Baddeley, JA and Watson, CA 2007. SPACSYS: integration of a 3D root architecture component to carbon, nitrogen and water cycling-model description. Ecological Modelling 200, 343359.Google Scholar