Sabalan Mountain in northwestern Iran, which has a cold semi-arid climate, has numerous reservoirs and everglades on its slopes. Their classification, based on environmental and soil factors and the similarity of plant species, is a useful guide for environmental and ecological management. For the purpose of this study, the mangroves on the northern and eastern slopes of Sabalan were identified using satellite images and field visits. Subsequently, 32 mangrove locations were determined for sampling, and a total of 320 sample plots were systematically, and randomly selected from the sample locations. Using data related to vegetation cover, a matrix table of species abundance was prepared. Afterwards, using cluster analysis, the ponds were classified and displayed graphically (dendrogram). In this study, soil factors (percentage of sand, silt and clay), acidity, electrical conductivity, organic carbon, total and absorbable nitrogen, absorbable phosphorus, and potassium, and environmental factors (elevation, slope, percentage of crown and litter cover, number of species, plant biomass) and geographic directions (north, south, west, east, and no direction) were measured and determined. Moreover, Jaccard and Sørensen indices were used to determine the species similarity index. The results showed that the wetlands can be classified into four clusters in terms of species similarity, including: 1- Mid-altitude everglades with semi-humid plants (grass-legumes), 2- Upper-altitude everglades with wet grassland plants, 3- Swamp everglades with peatland plant cover, and 4- Saline everglades with aquatic and saline plants. The overall results of the DCA classification of wetlands in terms of soil and environmental factors in the first three axes (the x, y and z axes) controlled 52.9, 30, and 23 percent of the total environmental changes, respectively. The main factors in separating everglades based on this method were soil properties (EC, pH and associated cations), landform, humidity, and height above the free water level. As the cluster analysis shows, most of the changes are on the x-axis. In the positive direction of the x-axis, saline everglades with aquatic plants and zinc salinity are established, which have a direct correlation with pH, EC, related cations such as potassium, total nitrogen, and land flatness, and an inverse correlation with plant canopy cover, biomass, slope, and available carbon and nitrogen.