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This paper proposes a novel random-forest-supervised HSIC-ANOVA method for sensitivity analysis of hierarchical decision-rule parameter spaces in agent-based agro-ecological models, applied to the MAELIA platform to interpret outputs like nitrogen leaching, soil organic carbon, and yield predictions.