Mstatc Software - For Windows 7 - Analysis Agriculture Data
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The different soil properties were statistically analyzed using the split-split plot design. The landscape positions (upper, middle, and lower) were considered as the main plot treatments, the land use-land cover types (dense forest, open forest, farmland, and grazing land) as sub-plot treatments, and the soil depths as sub-sub-plot treatments. During the statistical analysis, land use-land cover types (i.e., the sub-plot treatments) were compared to each of the landscape positions (i.e., to the main plot treatments) and to each of the soil sampling depths (i.e., to the sub-sub-plot treatments). Data were input and summarized using a Microsoft Excel software. Analyses of variances (ANOVAs) were computed. Soil properties with significant differences for each factor or combination of factors were separated using the least significant difference (LSD) test using the MSTATC software (Freed 1991 ).
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After testing different statistical functions, an appropriate function were selected using the test of homogeneity of variances and the normality of data. This was followed by an ANOVA analysis of variance (ANOVA) to determine the statistical significance of soil parameters. A correlation procedure was employed to determine the correlation coefficients between soil parameters. The best way to verify the statistical significance of the results obtained was to generate a dendrogram using the agglomerative methods. The software used for the data analysis was MSTAT-C 6.0.8 (http://www.bonn-environment.ch/services/mstatc/). 3d9ccd7d82