The subject of this paper is the possibility of using self-organizing map (SOM) in the biomonitoring studies. We used lichens as biomonitors to indicate different degrees of air quality. This research included all of 88 lichen species that was collected at 75 investigated points. These lichen species showed the different responses to air pollution. The air quality was assessed by IAP (index of atmospheric pollution) values. The IAP values were calculated for all of investigated points on the territory of four natural and one urban ecosystem. Calculated IAP values were in range of 10 to 75. On the basis of the lichen data and IAP values, we have employed SOM analysis that distinguished three clusters (A, B, and C). It presented lichen indicator species for each cluster: 16 species for cluster A, 18 species for cluster B, and two species for cluster C. This paper presents a useful method to find indicator species.

本文的主题是在生物监测研究中使用自组织图（SOM）的可能性。我们使用地衣作为生物监测器来指示不同程度的空气质量。这项研究包括在75个调查点收集的全部88种地衣物种。这些地衣物种对空气污染表现出不同的反应。空气质量通过IAP（大气污染指数）值进行评估。IAP值是针对四个自然生态系统和一个城市生态系统的所有调查点计算得出的。IAP的计算值介于10到75之间。根据地衣数据和IAP值，我们采用了SOM分析来区分三个聚类（A，B和C）。它介绍了每个群集的地衣指示物物种：群集A的16种，群集B的18种，