TO THE BIOINDICATION INDICATORS OF BACKGROUND PLANT SPECIES IN NATURAL STOCKS AS THE BASIS OF PROSPECTIVE BIOMONITORING

Autor: Olga A. Soboleva, Elena V. Nozdracheva, Lidiya N. Anishchenko
Jazyk: English<br />Russian
Rok vydání: 2024
Předmět:
Zdroj: Siberian Journal of Life Sciences and Agriculture, Vol 16, Iss 2, Pp 142-165 (2024)
Druh dokumentu: article
ISSN: 2658-6649
2658-6657
DOI: 10.12731/2658-6649-2024-16-2-827
Popis: In the Non-Black Earth Region of the Russian Federation, for more than 14 years, a database of long-term observations of the state of springs has been created as the most valuable element of the unique landscapes of ecotone zones. Long-term studies carried out on the biochemical characteristics of background plant species in spring tracts created the basis for bioindication of the general condition of spring streams based on the activity of the antioxidant system in seven bioindicators. The purpose of the work is to present the biochemical features of the background species of springs and streams for bioindication in the system of prospective biomonitoring of springs. As a result of the use of route, biochemical research methods, it has been proven that for biomonitoring studies it is advisable to use indicators of the activity of oxidoreductases of background species of spring tracts due to individual species resistance. A series of sensitivity of background species of herbaceous plants to significant anthropogenic load, including chemical pollution of spring waters, based on the degree of decrease in polyphenoloxidase activity: Agrostis stolonifera < Scirpus sylvaticus < Rorippa amphibia < Alisma plantago-aquatica < Lycopus europaeus < Leptodictyum riparium < Marchantia polymorpha. A series of plant sensitivity to stress factors according to the degree of increase in catalase (catalase activity): Agrostis stolonifera > Scirpus sylvaticus > Rorippa amphibia > Alisma plantago-aquatica > Lycopus europaeus > Leptodictyum riparium > Marchantia polymorpha. A series of sensitivity to the general anthropogenic load, including chemical water pollution according to the degree of peroxidase reduction: Agrostis stolonifera < Scirpus sylvaticus < Rorippa amphibia < Alisma plantago-aquatica < Lycopus europaeus < Leptodictyum riparium < Marchantia polymorpha.
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