This dataset contains Python code and processed data supporting AI-enhanced biodiversity projections for seven European dryland regions under three climate scenarios (SSP1-2.6, SSP3-7.0, SSP5-8.5) from 2025-2070. Includes trained machine learning ensemble models (Random Forest, XGBoost), species trait data, regional characteristics, and vulnerability assessments.
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Rabbi Mohammad Fazle (2025) studied this question.
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