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Updated: Jan 6, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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通过机器学习算法和未来场景,探索基于中部黑海地区气候变化的土壤有机碳动态

Aykut Çağlar1, Pelin Alaboz2, Orhan Dengiz3

  • 1Republic of Türkiye Ministry of Agriculture and Forestry, Black Sea Agricultural Research Institute, Samsun, Turkey.

Environmental monitoring and assessment
|November 11, 2025
PubMed
概括

由于气候变化,土壤有机碳预计将在中部黑海地区减少. 机器学习模型预测到2034年碳水平降低和荒漠化风险增加.

关键词:
人工智能的人工智能是人工智能.干旱指数 干旱指数土壤有机碳土壤有机碳时间序列时间序列

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