Voronezh, Russian Federation
Russian Federation
Methodological approaches to studying the functioning of individual ecosystems vary. We used qualitative (structural biodiversity) and quantitative (relative projective coverage, abundance, and constancy) evaluation parameters as indicators of the species' participation in the formation of a plant association using the example of a forest ecosystem and two urban ecosystems as one of the options for a whole cycle of biomonitoring. The traditional comparative geobotanical vegetation analysis was also used in this work. This analysis reveals the interrelationships between all systematic groups of plants, allows us to establish established patterns in the structure of the community and interpret the data obtained. The choice of an arboretum and a large urban park is not accidental, since they are located on the historical territory of the Voronezh Upland oak forest (the southern quarters of the oak forest, represented by natural oak forests) and it was interesting for us to trace the synanthropization of the flora.
Biomonitoring, ecosystem, qualitative and quantitative indicators, tree and shrub vegetation, ground cover
1. Application of climate change scenarios in the simulation of forest ecosystems: an overview // Haoyun Liu , Peng Li , Changhui Peng , Cong Liu, Xiaolu Zhou, Zhengmiao Deng, Cicheng Zhang, Zelin Liu // Environmental Reviews, 2023. – Volume 31. – Issue 3. – Pages: 565-588. // DOI: https://doi.org/10.1139/er-2022-0111.
2. Biomonitoring with Lichens and Mosses in Forests // Giorgio Brunialti, Luisa Frati // Forests, 2023 – Volume 14. – Issue 11. – Pages: 2265-2265. // DOI: https://doi.org/10.3390/f14112265.
3. Recent Trends and Future Challenges for Lichen Biomonitoring in Forests // Luisa Frati , Giorgio Brunialti // Forests, 2023. – Volume 14. – Issue 3. – Pages 647-647. // DOI: https://doi.org//10.3390/f14030647.
4. Integration of ecological indicators to assess a multitemporal impact of cement industries // Claudia Cocozza, Francesco Parisi , Massimo Chiari, Stefano Loppi, Silvana Munzi, Sonia Ravera // Environmental science and pollution research international, 2024. – Volume 31. – Issue 35. – Pages 48233-48249. DOI: https://doi.org/ 11//https://doi.org/10.1007/s11356-024-34079-y.
5. Survey of artificial intelligence approaches in the study of anthropogenic impacts on symbiotic organisms – a holistic view // Manju M Gupta , Akshat Gupta //Symbiosis, 2021. –Volume 84. – Issue 3. – Pages: 271-283 // DOI: https://doi.org//https://doi.org/10.1007/s13199-021-00778-0.
