3D MODELING OF ECOSYSTEM DYNAMICS: PREDICTING BIOLOGICAL PROCESSES USING AI
DOI:
https://doi.org/10.63034/esr-576Keywords:
ecosystem dynamics, 3D modeling, artificial intelligence, biological processes, environmental sciences, visualization, prediction, complex structure, dynamic changes, technologiesAbstract
This article examines the scientific foundations of predicting biological processes through 3D modeling of ecosystem dynamics. The study focuses on the use of artificial intelligence (AI) technologies to analyze complex interactions within ecosystems and to forecast their changes over time. Three-dimensional models make it possible to visualize spatial structures, interactions between biotic and abiotic factors, and species population dynamics with high accuracy. AI algorithms can process large datasets, generate possible scenarios of ecological change, and simulate the impacts of climatic factors and anthropogenic influences. The findings demonstrate that the integration of 3D modeling and AI serves as an effective tool for assessing ecosystem stability, preserving biodiversity, and managing natural resources. Furthermore, this approach expands predictive capabilities in environmental sciences and provides researchers with deeper insights into the functioning of complex biological systems.
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Copyright (c) 2025 Serik Mariya Myrzakhankyzy
This work is licensed under a Creative Commons Attribution 4.0 International License.
