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Advisor(s)
Abstract(s)
Among the most important measures to prevent wild forest fires is the use of prescribed and controlled
burning actions in order to reduce the availability of fuel mass. However, the impact of these activities on
soil physical and chemical properties varies according to the type of both soil and vegetation and is not fully
understood. Therefore, soil monitoring campaigns are often used to measure these impacts. In this paper we
have successfully used three statistical data treatments - the Kolmogorov-Smirnov test followed by the
ANOVA and the Kruskall-Wallis tests – to investigate the variability among the soil pH, soil moisture, soil
organic matter and soil iron variables for different monitoring times and sampling procedures.
Description
Keywords
Forest soil Prescribed fire Soil properties Forest management