Akademik Veri Yönetim Sistemi
Journal of Food, Agriculture and Environment, cilt.12, sa.1, ss.424-429, 2014 (Scopus)
Soil temperature evaluation is a crucial component in estimating field nutrient budgets. Air data, from a test chamber used to stimulate field air temperatures for a long periods, was collected under laboratory conditions to estimate daily mean soil temperature at a depth of 5 cm using an exponential model. This model was later tested using field data from regions located in 5 different big soil groups across the eastern part of the Turkey. The relationship between air and soil temperature derived from observed and estimated soil temperature was adequately described by an exponential equation with high coefficient determinants. The values of R2 between observed and final predicted soil temperatures ranged from 0.98 to 0.99 with standard errors from 1.5 to 3.0°C for big soil groups. This model suggests that the exponential equation well describes the soil temperature as a function of the air temperature and some other soil properties such as soil water content, soil porosity, soil texture and soil structure, and changes with soil properties. The results show that the soils differed markedly in their heat conductivity and heat capacity for the soil big groups, and suggest that soils can have different heat-buffering capacities. When compared, the soil heat conductivities were in the order of Flavuquent > Calciorthid > Haplustept > Pellustert > Argiustoll and these sequences follow approximately the order of low clay content, porosity and air permeability, respectively. Daily soil temperatures may be predicted from daily air temperature once regional equations have been established, and since weather stations in Turkey can be generalized into a few regions, sites within each region may use the same equation.