Testing the adequacy of measured data for evaluating nitrogen turnover models by the dot-to-dot method

European Journal of Soil Science

Volumn 54, Issue 1, 2003, Pages 175-186

  Smith, J U ^a   Smith, P ^a   Richter, G M ^b   Agostini, F A ^a   Welham, S J ^b  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b ROTHAMSTED RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

NITROGEN; PERFORMANCE ASSESSMENT; SOIL CHEMISTRY; TESTING METHOD;

EID: 0037374214     PISSN: 13510754     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2389.2003.00501.x     Document Type: Review

References (12)

1. Addiscott, T.M. & Whitmore, A.P. 1987. Computer simulation of changes in soil mineral nitrogen and crop nitrogen during autumn, winter and spring. Journal of Agricultural Science, Cambridge, 109, 141-157.
2. 15N-labelled fertilizer to winter wheat. Journal of Agricultural Science, Cambridge, 121, 363-379.
3. Hagen, N., Kleeburg, H.-B. & Niekamp, O. 1993. Parameter estimation for ecosystem models with special regard to target functions. Modelling Geo-Biosphere Processes, 2, 293-325.
4. Loague, K. & Green, R.E. 1991. Statistical and graphical methods for evaluating solute transport models: overview and application. Journal of Contaminant Hydrology, 7, 51-73.
5. McVoy, C.W., Kersebaum, K.C., Arning, M., Kleeberg, P., Othmer, H. & Schröder, U. 1995. A data set from north Germany for the validation of agroecosystem models: documentation and evaluation. Ecological Modelling, 81, 265-300.
6. Richter, G.M., Baumann, K. & Richter, J. 1996. Simulation des Nitrataustrags im Winterhalbjahr aus intensiv genutzten Ackerböden in der Geest. Zeitschrift für Pflanzenernährung und Bodenkunde, 159, 279-288.
7. Smith, J.U., Bradbury, N.J. & Addiscott, T.M. 1996a. SUNDIAL: a PC-based system for simulating nitrogen dynamics in arable land. Agronomy Journal, 88, 38-43.
8. Smith, J.U., Smith, P. & Addiscott, T.M. 1996b. Quantitative methods to evaluate and compare soil organic matter (SOM) models. In: Evaluation of Soil Organic Matter Models using Existing Long-term Datasets (eds D.S. Powlson, P. Smith & J.U. Smith), pp. 181-200. Springer-Verlag, Heidelberg.
9. Smith, P., Smith, J.U., Powlson, D.S., McGill, W.B., Arah, J.R.M., Chertov, O.G. et al. 1997. A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma, 81, 153-225.
10. Smith, P., Whitmore, A.P., Wechsung, F., Donatelli, M., Coleman, K., Yin, X., Cramer, W. et al. 2000. The MAGEC project: a regional-scale tool for examining the effects of global change on agroecosystems. In: Terrestrial Ecosystems Research in Europe: Successes, Challenges and Policy (eds M.A. Sutton, J.M. Moreno, W.H. van der Putten & S. Struwe), pp. 182-183. EU-Directorate General for Research, Brussels.
11. Wallach, D. & Goffinet, B. 1987. Mean squared error prediction in models for studying ecological and agricultural systems. Biometrics, 43, 561-573.
12. Whitmore, A.P. 1991. A method for assessing the goodness of computer simulations of soil processes. Journal of Soil Science, 42, 289-299.