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利用可解释的人工智能来预测土壤呼吸敏感度及其气候变化减缓驱动因素

Pierfrancesco Novielli1,2, Michele Magarelli1, Donato Romano1,2

  • 1Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, 70125, Italy.

Scientific reports
|April 11, 2025
PubMed
概括

可解释的AI准确地预测了土壤呼吸敏感度 (Q10) 对变暖的反应. 葡萄糖诱导的呼吸和细菌比例是关键的驱动因素,为缓解气候变化和土壤管理提供了洞察力.

关键词:
气候变化 气候变化可解释的人工智能 (XAI)机器学习 机器学习Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q10 Q1 Q10 Q10 Q10 Q10 Q10 Q1 Q10 Q10 Q10 Q10 Q10土壤呼吸灵敏度 灵敏度

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