1. General Model Information

Name: Spring WHEAT

Acronym: SWHEAT


Main medium: air+terrestrial
Main subject: biogeochemistry
Organization level: ecosystem
Type of model: not specified
Main application:
Keywords: crop growth, spring wheat, mechanistic, salinity

Contact:

Gene Moss
Plant Physiologist
US Salinity Lab4500
Glennwood Dr.
Riverside
CA 92501
Phone:
Fax : 909 369-4818
email: ussl@ucrvms.gov

Author(s):

Abstract:

SWHEAT (Spring WHEAT) is a version of WHEAT. SWHEAT is a mechanistic, process oriented, point model (Baker et al., 1981). The model is design specifically to examine the effects of salinity on crop production. Its purpose is to predict how changes in salinity will affect spring wheat yields. The model uses as input: daily maximum and minimum temperature, soil variables, solar radiation, wind speed, vapor pressure and nitrogen content data. The model provides output on dry matter production and grain yield. The model uses daily time step over a season.

Author of the abstract:

CIESIN(CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK)


II. Technical Information

II.1 Executables:

Operating System(s): On a 486, takes 2-3 minutes

II.2 Source-code:

Programming Language(s): FORTRAN 77

II.3 Manuals:



II.4 Data:



III. Mathematical Information


III.1 Mathematics


III.2 Quantities

Daily min/ max temperature., soil variables, (H20 content,

III.2.1 Input

Daily min/ max temperature., soil variables, (H20 content,conductivity, bulk density, electroconductivity), solar radiation, wind speed, vapor pressure deficit,rain applied, N content.

Model Input Data Source: Field collected on soils. Historical climatic data. Dry matter production, grain yield. Can get nutrient content, phenological

III.2.2 Output

Dry matter production, grain yield. Can get nutrient content, phenologicalcharacteristics.

Temporal Scale: Daily time step-over a season.


IV. References

Baker, P., and D.E. Smika, A.L. Black, W.D. Willis andA. Bower. 1981. Winter wheat: a model for the simulation of winter wheat. AgRISTARS: YM-U2-04281/JSC-18229.

V. Further information in the World-Wide-Web



VI. Additional remarks

Global change implications:This model could be used for globalchange research to examine the effects of climate change on salinity which,may affect spring wheat production.

Last review of this document by: T. Gabele: 28. 07. 1997 -
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:51 CEST 2002

Go back to Register of Ecological Models (R E M)