Introduction.

The objective of this study was to develop a wetland classification method for alluvial mining landscapes and to apply it in a case study in the Nechi River Valley as a basis for the decision-making processes for wetland management.

Materials and Methods.

A principal component analysis (PCA) was used with 7 variables indicators of wetland functioning and/or pressure in the physical, physicochemical and biological dimension.

Results.

A classification index was made using the first 3 principal components resulting from the component analysis explaining as much as 66 % of the total variability in the data. The index values allowed the relative classification of the wetlands from the closest to the ecological optimum to the more distant from this.

Conclusion.

A wetland grouping based on the index statistics is created and its implication for the environmental management plan are discussed.