STUDYING THE STATE OF BIODIVERSITY OF THE ARAL SEA GRASSLANDS THROUGH INNOVATIVE APPROACHES
Abstract
The biodiversity of the Aral Sea grasslands has experienced significant changes due to environmental degradation caused by the desiccation of the Aral Sea, climate change, desertification, and anthropogenic pressures. These ecosystems play a crucial role in maintaining ecological balance, supporting wildlife habitats, and sustaining local livelihoods. However, traditional methods of biodiversity assessment are often limited by spatial and temporal constraints. Recent advances in Geographic Information Systems (GIS), remote sensing, unmanned aerial vehicles (UAVs), artificial intelligence (AI), and machine learning have introduced innovative approaches for monitoring and evaluating biodiversity. This study examines the application of these technologies in assessing the current state of biodiversity in the Aral Sea grasslands. GIS and remote sensing provide large-scale spatial analysis of vegetation cover and habitat changes, while drones enable high-resolution ecological surveys.
References
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