Successional dynamics of soil microbial communities under anthropogenic impact: approaches to mathematical modeling

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:This paper provides a comprehensive review of microbial succession models, useful for researchers in soil ecology and biogeochemistry.

🏢実務担当者:Practitioners in land reclamation and sustainable agriculture can use these modeling approaches to assess soil degradation risks.

🏛政策担当者:Policymakers can reference this work to support science-based land restoration policies and climate adaptation strategies.

The article summarizes modern scientific approaches to the study and modeling of soil microorganism succession in anthropogenic ecosystems, with a particular focus on Ukrainian agrocenoses in the context of climate change and military stress. It is shown that soil microbiota is a key regulator of the carbon, nitrogen, and other nutrient cycles, and that succession changes in microorganisms determine soil fertility, stability, and self-regeneration capacity. The contribution of leading foreign and Ukrainian scientists to the development of microbial succession concepts is analyzed, in particular trait-based models, microbially explicit models such as MIMICS, and approaches that take into account microbial biomass and necromass in humus formation processes. It is shown that soil contamination with heavy metals, explosive residues, and fuel and lubricants leads to regressive succession, simplification of the structure of the microbiocenosis, and disruption of ecosystem functions. The main methods of modeling microbial succession are considered: classical mathematical models (Mono, Lotka–Volterra, regression approaches), network analysis, stochastic and zero assembly models, as well as modern machine learning methods (Random Forest, Gradient Boosting, neural networks, MaxEnt). The feasibility of their use for predicting soil degradation and restoration, assessing the ecological status of agroecosystems, and developing practical recommendations for the reclamation of land affected by anthropogenic and military influences is substantiated. The results obtained and the generalized approaches to modeling the succession of soil microorganisms will contribute to a deeper understanding of the mechanisms of soil ecosystem functioning under conditions of intense anthropogenic and military impact. The use of modern mathematical and computer models will improve the accuracy of predicting changes in microbiocenoses, enable the timely identification of soil degradation risks, and justify scientifically sound measures for their restoration. In practical terms, this research will contribute to the development of environmentally safe farming technologies, the optimization of the use of biological products, the preservation of soil fertility and food security in Ukraine, and the formation of a scientific basis for the restoration of agroecosystems in areas affected by military action.

• semanticscholar https://doi.org/10.33730/2077-4893.1.2026.354192first seen 2026-06-29 09:03:53