1. General Model Information
Name: Nitrogen Tillage - Residue Management model
Main medium: aquatic+terrestrial
Main subject: hydrology, biogeochemistry , agriculture
Organization level: landscape
Type of model: ordinary differential equations, partial differential equations
Keywords: hydrology, nitrogen, leaching, soil, plant, management, climate, GIS
NTRM (Nitrogen Tillage - Residue Management) model is a simulation
model examining soil-plant interactions. The model is used to determine
soil management strategies and the effect of climate change on crop yields
and nitrate leaching (Shaffer and Pierce, 1982). The model combines
basic process equations for water flow, solute transport, plant and root
growth, tillage effects, climate interactions, nutrient transformations, soil
chemical processing and soil temperature.
The model requires soil properties, daily weather data and management
options as input. The model provides tabular graphs containing a range
of information on plant growth, water and solute transport and soils
temperatures as output.
The model uses daily time steps and examines field/plot to
regional spatial scales using GIS.
Author of the abstract:
II. Technical Information
Operating System(s): DOS
Programming Language(s): FORTRAN
III. Mathematical Information
Soil properties, weather data (daily), and management inputs. Model Input Data Source: Databases such as NCDC, SCS Soils 5, and Pedon one site data from field plots.
Shaffer, M.J., and F.J. Pierce. 1982. Nitrogen-tillage-residue management (NTRM) model: user'smanual. Res. Rep. USDA-ARS, St. Paul, Minnesota.
Shaffer, M.J. 1985. Simulation model for soil erosion-productivity relationships. J.Environ. Qual. 14(1):144-150.
V. Further information in the World-Wide-Web
NTRM at the CIESIN database
VI. Additional remarks
Global change implications:NTRM has been used to study long-termeffects of soil and environmental conditions on crop yields (Shaffer, 1985). Model predictions of long-term crop yields were consistent with actualdata. However, model short-term yield predictions did not perform well when compared to actual data. This model would thus be useful for globalchange research on the effects of soil conditions, especially soil erosion,on long-term crop yields. Author : CIESIN
Last review of this document by: Thu Sep 18 1997
Status of the document:
last modified by
Joachim Benz Tue Feb 25 18:27:00 CET 2003