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ŠUMARSKI LIST 5-6/2023 str. 36     <-- 36 -->        PDF

moisture was the dominant factor affecting the CO2 emission from natural soil, but its influence was stronger on the plot where the treatment of pesticides was carried out. With the rise of soil moisture, the plot that was under the influence of pesticides had more intensive increase of the CO2 emission in comparison to the control plot.
For each plot, multiple linear regression models were obtained for CO2 flux as a function of soil temperature and moisture (Figure 9). The best multiple linear regression model was found for the third plot (R2 = 0.89), whereas the lowest value of R2 amounted to 0.66 and was obtained within control plot (Table 3). Furthermore, the significant value of coefficient of determination (R2 = 0.80) was determined for the Plot 2. Multiple linear regression showed that the CO2 emission from the soil was primarily controlled by soil moisture within the plots on natural soil, while the effect of soil temperature, as a secondary factor, was weaker for the second plot. For the anthropogenic soil, temperature of soil was dominant factor affecting the CO2 flux. However, soil water content as additional factor of emission had stronger effect in comparison to the soil temperature within the plot which was under treatment of pesticides.
DISCUSSION
RASPRAVA
Soil temperature and water content are the most responsible environmental drivers which affect the variation of