Abstract (EN):
Among the most important measures to prevent wild fo
rest 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 imp
acts. In this paper we
have successfully used three statistical data tr
eatments - 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 differe
nt monitoring times and sampling procedures.
Language:
English
Type (Professor's evaluation):
Scientific
Notes:
In: Gilkes RJ, Prakongkep N, editors. Proceedings of the 19 th, World Congress of Soil Science, Soil Solutions for a Changing World, 1 – 6 August 2010, Brisbane, Australia. Published on DVD. pp. 193-196