Spatial interpolation of soil physical properties for irrigation planning. A simulation study in northern Italy

European Journal of Agronomy

Volumn 19, Issue 1, 2003, Pages 1-14

  Bechini, Luca ^a   Bocchi, Stefano ^a   Maggiore, Tommaso ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

Calculate first interpolate later; Cropping systems simulation models; CROPSYST; Geostatistics; Interpolate first calculate later; Irrigation planning; Regional scale model application; Spatial interpolation techniques; Water balance models

Indexed keywords

DRAINAGE; IRRIGATION; PHYSICAL PROPERTY; SOIL PROPERTY; SOIL WATER; WATER BUDGET;

ITALY;

SUS; ZEA MAYS;

EID: 0037309102     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1161-0301(02)00013-8     Document Type: Article

References (26)

1. Addiscott, T.M., 1993. Simulation modelling and soil behaviour. Geoderma 60, 15-40.
2. American Society of Agronomy (ASA), 1965. Methods of Soil Analysis. Part 1. Physical and Mineralogical Properties, Including Statistics of Measurements and Sampling. Madison, Wisconsin, USA.
3. Badini, O., Stockle, C.O., Franz, E.H., 1997. Application of crop simulation modeling and GIS to agroclimatic assessment in Burkina Faso. Agriculture, Ecosystems and Environment 64, 233-244.
4. Bechini, L., Ducco, G., Donatelli, M., Stein, A., 2000. Modeling, interpolation and stochastic simulation in space and time of global solar radiation. Agriculture, Ecosystems and Environment 81, 29-42.
5. Bouma, J., 1989. Using soil survey data for quantitative land evaluation. Advances in Soil Science 9, 177-213.
6. Burrough, P.A., 1995. Spatial aspects of ecological data. In: Jongman, R.H.G., ter Braak, C.J.F., van Tongeren, O.F.R. (Eds.), Data Analysis in Community and Landscape Ecology. Cambridge University Press, Cambridge, pp. 213-251.
7. De Wit, C.T., van Keulen, H., 1987. Modelling production of field crops and its requirements. Geoderma 40, 253-265.
8. Donatelli, M., Campbell, G.S., 1998. A simple model to estimate global solar radiation. In: Zima, M., Nartošová, M.L. (Eds.), Short Communications - Volume II. European Society for Agronomy, pp. 133-134.
9. Donatelli, M., Stockle, C., Ceotto, E., Rinaldi, M., 1997. Evaluation of CROPSYST for cropping systems at two locations of northern and southern Italy. European Journal of Agronomy 6, 35-45.
10. ERSAL-Ente Regionale di Sviluppo Agricolo della Lombardia, 1993. I suoli del Parco Agricolo Sud Milano. Progetto 'Carta pedologica', SSR 15 [in Italian], Milano.
11. Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, New York.
12. Hansen, J.W., Jones, J.W., 2000. Scaling-up crop models for climate variability applications. Agricultural Systems 65, 43-72.
13. Jara, J., Stockle, C.O., 1999. Simulation of water uptake in maize using different levels of process detail. Agronomy Journal 91, 256-265.
14. Pala, M., Stockle, C.O., Harris, H.C., 1996. Simulation of durum wheat (Triticum durum) growth under differential water and nitrogen regimes in a mediterranean type of environment using CROPSYST. Agricultural Systems 51, 147-163.
15. Pannkuk, C.D., Stockle, C.O., Papendick, R.I., 1998. Evaluating CROPSYST simulations of wheat management in a wheat-fallow region of the US Pacific Northwest. Agricultural Systems 57, 121-134.
16. Pebesma, E.J., 1999. GSTAT User's Manual. Department of Physical Geography, Utrecht University, Utrecht, The Netherlands.
17. Pebesma, E.J., Wesseling, C.G., 1998. GSTAT: a program for geostatistical modelling, prediction and simulation. Computers and Geosciences 24 (1), 17-31.
18. Saxton, K.E., Rawls, W.J., Romberger, J.S., Papendick, R.I., 1986. Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal 50, 1031-1036.
19. Soil Survey Staff, 1992. Keys to Soil Taxonomy. Pocahontas Press, Inc, Blacksbourg, VA, USA, p. 541.
20. Stein, A., Staritsky, I.G., Bouma, J., van Eijnsbergen, A.C., Bregt, A.K., 1991. Simulation of moisture deficits and areal interpolation by universal cokriging. Water Resources Research 27, 1963-1973.
21. Stockle, C.O., Debaeke, P., 1997. Modeling crop nitrogen requirements: a critical analysis. European Journal of Agronomy 7, 161-169.
22. Stockle, C.O., Nelson, R.L., 1999. CROPSYST User's Manual. Biological Systems Engineering Department, Washington State University, Pullman, WA, USA.
23. Stockle, C.O., Martin, S.A., Campbell, G.S., 1994. CROPSYST, a cropping systems simulation model: water/nitrogen budgets and crop yield. Agricultural Systems 46, 335-359.
24. Stockle, C.O., Cabelguenne, M., Debaeke, P., 1997. Comparison of CROPSYST performance for water management in Southwestern France using submodels of different levels of complexity. European Journal of Agronomy 7, 89-98.
25. Thornton, P.K., Booltink, H.W.G., Stoorvogel, J.J., 1997. A computer program for geostatistical and spatial analysis of crop model outputs. Agronomy Journal 89, 620-627.
26. Wösten, J.H.M., 1997. Use of pedotransfer functions to evaluate soil quality. In: Gregorich, E.G., Carter, M.R. (Eds.), Soil Quality for Crop Production and Ecosystems Health. Elsevier, Amsterdam, pp. 221-245.