Villa Betancur, Jorge Andrés2018-08-162018-08-162017Revista Producción + Limpia Vol. 12 N. 11909-0455http://hdl.handle.net/10567/2028Introduction. 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.esCorporación Universitaria LasallistaÁrea Metropolitana del Valle de AburráHumedalesGestión ambientalEcosistemas acuáticosMinería de aluviónEcologíaArticle