Issue |
BIO Web Conf.
Volume 173, 2025
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2024)
|
|
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Article Number | 03035 | |
Number of page(s) | 9 | |
Section | Biology and Chemistry of Soil and Water | |
DOI | https://doi.org/10.1051/bioconf/202517303035 | |
Published online | 23 April 2025 |
Modeling and statistical analysis of the impact of environmental factors on aquatic biodiversity
1
Reshetnev Siberian State University of Science and Technology,
660037
Krasnoyarsk, Russia
2
Bauman Moscow State Technical University,
105005
Moscow, Russia
* Corresponding author: ankoz9@yandex.ru
This work is dedicated to the analysis of aquatic ecosystems and the assessment of the impact of anthropogenic interventions on amphibian biodiversity. Special attention is given to restored and control ponds, where ecological characteristics such as pond type, vegetation cover, shore condition, and the presence of fish are studied, as well as their impact on amphibian species diversity. The work employed correlation, factor, and regression analysis methods, which revealed significant relationships between ecological characteristics and amphibian species abundance. The analysis results show that factors such as pond type, the presence of fish, and shoreline features have a significant impact on species diversity. A positive correlation was found between the presence of amphibian species and overall species diversity, while a negative correlation was observed between anthropogenic factors, such as fish and artificially created ponds, and amphibian abundance. Factor analysis identified latent variables describing the ecological structures of the data, such as pond types, vegetation, and organic sediments, and also demonstrated that the restoration of aquatic ecosystems contributes to improved biodiversity.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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