Simulating different scenarios of vegetation dynamics under the influence of human and climatic factors based on the residual trend analysis and machine learning

Key Points

• Vegetation dynamics are influenced by both human impact and climatic factors, revealing complex interactions.
• The study identifies significant variability in vegetation responses, particularly in areas with high human activity.
• Analysis employs machine learning and residual trend analysis techniques to explore different scenarios.
• Findings indicate potential challenges for ecosystems under future climate change, highlighting the need for further monitoring.