Premium
Soil Temperature Simulation with Varying Residue Management
Author(s) -
Brar G. S.,
Unger P. W.
Publication year - 1994
Publication title -
journal of agronomy and crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.095
H-Index - 74
eISSN - 1439-037X
pISSN - 0931-2250
DOI - 10.1111/j.1439-037x.1994.tb00153.x
Subject(s) - tillage , thermal diffusivity , crop residue , residue (chemistry) , soil science , environmental science , agronomy , mathematics , chemistry , agriculture , biology , physics , thermodynamics , ecology , biochemistry
Maintaining crop residue on the soil surface is an important part of conservation tillage. Although broad effects of residues on soil temperature (T s ) are well documented, the methods to predict soil temperatures under various surface residues and tillage conditions are limited. Using the T s at 0‐, 0.05‐, 0.10‐, and 0.30‐m depths, we developed a simplified model to predict T s for a uniform soil from air temperature (T a ) data. Data were collected under various tillage and surface residue conditions after wheat ( Triticum aestivum L.) harvest. Residue management treatments were disk, sweep, and no‐tillage (with standing or shredded residues). The model predicts maximum and minimum T s at 0‐, 0.05‐, 0.10‐, and 0.30‐m depths using maximum and minimum T s measured at 2‐m above the soil surface, residue mass, apparent thermal diffusivity, and initial Ts profiles. Mean absolute deviation between simulated and measured maximum and minimum surface T s were 0.53 and 0.44 °C or less, respectively. Root zone maximum and minimum T, were simulated within 0.14 to 0.91 and 0.27 to 0.95 °C, respectively, of the measured T s . Greater precision of maximum and minimum soil temperature predictions with depth was obtained by using apparent thermal diffusivity calculated from initial T s profiles. The proposed model can be useful in predicting T s profiles required for crop growth modeling.