Environment Status Estimation of the Forest Communities Based on Floristic Surveys in the Mordovia State Nature Reserve, Russia

• Published in: Forests 2021-11, Vol.12 (11), p.1475
• Main Author: Khapugin, Anatoliy A.
• Format: Article
• Language: English
• Subjects: Canopy gaps; Classification; Coniferous forests; Deciduous forests; Environmental changes; Environmental conditions; environmental factor; Environmental factors; Environmental testing; Flowers & plants; Forest communities; Forests; Habitats; Mixed forests; Nature reserves; phytoindication; Plant ecology; plant species; Polls & surveys; Principal components analysis; Sampling; Spatial distribution; species specialist; Statistical analysis; Statistical methods; threatened species; Vegetation
• ISSN: 1999-4907; 1999-4907
• DOI: 10.3390/f12111475

Environmental scales include species responsive to changes in environmental conditions. The present paper aims to apply floristic survey data to reveal environmental conditions in habitats studied in the Mordovia State Nature Reserve, European Russia. In total, 161 square plots were established within a selected forest area. In each plot, all species were registered to conduct a further analysis. Then, average values of six environmental factors were calculated based on the Tsyganov environmental scale. Contour maps were created for four factors to demonstrate spatial changes through the study area. All study pots were assigned to seven habitat types during the field surveys. To test the correctness of the determined classification, a principal component analysis was performed based on Tsyganov’s environmental factors. Additionally, PERMANOVA was used to test the correctness of the habitat distinguishing. The results demonstrate that differences in environmental conditions among the majority (mires, coniferous forests, broadleaved forests, mixed forests) of the distinguished habitats are statistically significant, except for water bodies, forest gaps and roads, which have no significant differences in environmental factors compared with other habitats. We assume that this is caused by the very small sampling size for these habitat types. To obtain correct results, each habitat group should be represented by at least 3–4% samples of the whole sampling set. The main conclusion represents a simple way to assess the habitat environmental status based on floristic data. Based on Tsyganov’s environmental factors, the spatial distribution of only plant specialists can be recognised well. The allocation of plant generalists is impossible based on the proposed approach. Finally, the correctness of habitat classification based on dominated plants is well-testable using environmental conditions found on these sites. We also recommend the use of the here applied approach in plant ecology studies in the subzone of coniferous–deciduous forests of Eastern Europe.