About Us | Help Videos | Contact Us | Subscriptions
 

Abstract

 

This article in SSSAJ

  1. Vol. 57 No. 1, p. 82-87
     
    Received: Nov 8, 1991


    * Corresponding author(s):
 View
 Download
 Alerts
 Permissions
Request Permissions
 Share

doi:10.2136/sssaj1993.03615995005700010016x

Prediction of Field Denitrification Rates: A Boundary-Line Approach

  1. J. A. Elliott  and
  2. E. de Jong
  1. National Hydrology Research Institute, 11 Innovation Boulevard, Saskatoon, SK S7N 3H5, Canada
    Dep. of Soil Science, Univ. of Saskatchewan, Saskatoon, SK S7N 0W0, Canada

Abstract

Abstract

The high degree of spatial and temporal variability in denitrification and the complexity of the controls on the denitrification process make prediction of field denitrification rates difficult. We developed a denitrification model that requires only easily obtainable data to predict daily denitrification rates on Chernozemic soils. The model was developed using boundary-line analysis to establish relationships between soil properties and denitrification for some Saskatchewan soils. Predictions of denitrification are made from water-film thickness (grams of water per unit surface area), air porosity, organic C, NO3, and maximum daily air temperature. The coefficient of determination (R2) for the relationship between predicted and measured denitrification rates was 0.47, with 50% of the predicted denitrification rates falling within the range of the replicates for the corresponding measured rates. When the model was tested using an independent data set, the correlation (R2) between predicted and actual denitrification rates was 0.50 indicating that the model can explain approximately one-half of the variability in denitrification for a range of soils. The model can be combined with a soil water budget to estimate daily denitrification rates from readily available soil and climatic data.

Contribution No. R703 of the Saskatchewan Institute of Pedology.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © . Soil Science Society of America