Main Article Content
Polymorphie des associations au sein des forêts : Déterminants, catalogue des stations et cartographies complémentaires
Abstract
Objective: The objective is to propose a pragmatic approach to sustainable forest management.
Methodology and Results: Descriptive multivariate analysis of soil and vegetation characteristics of the classified forest of Haut-Sassandra allowed characterization of its polymorphism and to identify its determinants. A grouping of plots and a map of edaphic constraints have revealed a catalog of stations and highlighted a map of recommendations.
Conclusion and application: On relatively homogeneous ground, vegetation cover of the forest studied proved polymorphic mainly due to human activities. Derived maps are useful for rational management whose effectiveness can be enhanced by coupling withal geographic information system.
Keywords: Ivory Coast; mapping; Haut-Sassandra station; Multivariate Statistical Analysis