Alpine habitats are characterized by a high rate of range restricted species compared to those of lower elevations. This is also the case for the Irano-Anatolian global biodiversity hotspot in South-West Asia, which is a mountainous area harbouring a high amount of endemic species. Using two quantitative approaches, Endemicity Analysis and Network-Clustering, we want to identify areas of concordant species distribution patterns in the alpine zone of this region as well as to test the hypothesis that, given the high proportion of endemics among alpine species, delimitation of these areas is determined mainly by endemic alpine species, i.e., areas of concordant species distribution patterns are congruent with areas of endemism. Endemicity Analysis identified six areas of concordant species distribution patterns irrespective of dataset (total alpine species versus endemic alpine species), whereas the Network-Clustering approach identified five and four Bioregions from total alpine species and endemic alpine species, respectively. Most of these areas have been previously identified using the endemic flora of different elevational zones. The identified units using both methods and both datasets are strongly congruent, proposing that they reveal meaningful distribution patterns. Bioregionalization in the Irano-Anatolian biodiversity hotspot appears to be strongly influenced by the endemic alpine species, a pattern likely to hold in alpine regions outside the Irano-Anatolian hotspot.

与低海拔地区相比，高山栖息地的特点是范围受限物种的比例较高。西南亚的伊朗-安纳托利亚全球生物多样性热点地区也是如此，该地区是一个蕴藏着大量特有物种的山区。使用两种定量方法，特有性分析和网络聚类，我们希望确定该地区高山地区物种分布模式一致的区域，并检验以下假设：鉴于高山物种中特有物种的比例很高，划定这些区域主要由特有的高山物种决定，即物种分布模式一致的区域与特有区域一致。地方性分析确定了六个物种分布模式一致的区域，无论数据集如何（高山物种总数与高山特有物种），而网络聚类方法分别从高山物种总数和特有高山物种中确定了五个和四个生物区域。其中大多数地区先前已使用不同海拔地区的特有植物区系进行了识别。使用这两种方法和两个数据集识别出的单位非常一致，表明它们揭示了有意义的分布模式。伊朗-安纳托利亚生物多样性热点地区的生物区域化似乎受到特有高山物种的强烈影响，这种模式可能在伊朗-安纳托利亚热点地区以外的高山地区持续存在。