Application of the Categorical Principal Components Analysis in the selection of species for the reforestation of salinized soils
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Abstract
Cuban soils are not exempt from degradation due to salinity, fundamentally induced by anthropic actions. This being one of the limiting factors for the establishment of some forest species. The objective of this paper is to show the experience of the Categorical Principal Component Analysis (CATPCA) application, in the Analog Forestry technique. Optimum Scaling was used to reduce the information to the smallest possible dimension and Principal Categorical Components Analysis was used to select the categorical variables that constitute the promising species for the rehabilitation of salinized soils in 14 Integral Forest Farms of the Guantánamo Valley. With the use of the statistical method, the Main Categorical Components were defined as tolerance to salt, the zone, the effect of the root, the type of root and the growth rate.
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