Floodplain forests, as diverse plant communities commonly related to riparian zones, host plant species with various ecological niches and origins. The phytosociological context of floodplain forests has been well described on national level in many European countries, however, there are still regions with relatively poorly known variability of their species composition and environmental drivers controlling their vegetation patterns. Vegetation sampling of floodplain forests using traditional European phytosociological approach along with the recording of environmental (climatic, edaphic, topographic) variables was carried out in the northern part of the Western Carpathians (Slovakia and Poland) in period of 2011–2016. We gathered dataset of 135 original phytosociological relevés, which were classified using modified TWINSPAN algorithm. Five associations were distinguished: (i) meso-eutrophic black alder swamp forests (Carici acutiformis-Alnetum glutinosae), (ii) montane oligotrophic mixed spruce-alder forests on waterlogged sites (Piceo abietis-Alnetum glutinosae), (iii) riparian willow forests (Salicetum fragilis), (iv) meso-hygrophilous riparian alder forests (Stellario nemorum-Alnetum glutinosae) and (v) riparian grey alder forests (Alnetum incanae). Canonical Correspondence Analysis (CCA) with forward selection was used to show effect of environmental factors on species composition variation. The explained variance declined from marginal (13.9%) and conditional (8.6%) to pure effect (7.5%), with altitude (1.6%), total soil nitrogen content (1.6%) and soil pH (1.4%) being the most important predictors accounted for the highest variation in species compositional data.

洪泛区森林是通常与河岸带相关的各种植物群落，拥有各种生态位和起源的植物物种。在许多欧洲国家的国家层面上，洪泛区森林的植物社会学背景已经得到了很好的描述，但是，仍然有一些地区的物种组成变异性和相对未知的环境控制其植被模式，这些地区的情况相对较差。2011-2016年期间，在西喀尔巴阡山脉的北部（斯洛伐克和波兰）使用传统的欧洲植物社会学方法对洪泛区森林进行了植被采样，并记录了环境（气候，水文，地形）变量。我们收集了135个原始植物社会学相关数据集，并使用改进的TWINSPAN算法对其进行了分类。Carici acutiformis-Alnetum glutinosae），（ⅱ）山地贫营养上涝站点混合云杉-阿尔德林（Piceo abietis-Alnetum glutinosae），（ⅲ）河岸柳林（Salicetum脆弱），（IV）内消旋-喜湿河岸桤林（Stellario nemorum-Alnetum glutinosae）和（v）河岸灰al木森林（Alnetum incanae）。使用正向选择的典范对应分析（CCA）来显示环境因素对物种组成变异的影响。解释的方差从边际效应（13.9％）和条件效应（8.6％）降至纯效应（7.5％），其中海拔（1.6％），土壤总氮含量（1.6％）和土壤pH（1.4％）是最重要的预测因子占物种组成数据变化最大。