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中国南北气候过渡区典型混合森林的土壤湿度变化

Yu Mei¹, Qinghe Zhao², Peikun Li¹

¹College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou, Henan, 450046, China; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, Henan, 475004, China.

Journal of environmental management

|November 16, 2025

概括

针叶大叶混合森林 (CBMF) 通过增强土壤特性,显著改善土壤水分. 一个新的CEEMDAN-LSTM框架准确地模拟了土壤水分,有助于气候变化下的森林管理.

科学领域:

林业林业林业林业林业
水文学的水文学
土壤科学土壤科学

背景情况:

土壤水分对森林水文学至关重要.
现有的混合森林模型是不发达的.
了解土壤湿度驱动因素对于森林管理至关重要.

研究的目的:

确定混合森林中占主导地位的土壤湿度驱动因素.
开发一个模拟框架,用于混合森林土壤湿度.
评估森林类型对土壤水文保护的影响.

主要方法:

主要组件分析-差异膨胀因子 (PCA-VIF) 用于驾驶员识别.
用长短期记忆 (CEEMDAN-LSTM) 进行实证模式分解,用于建模.
在中国过渡性气候区 (CBMF,BDMF,CDMF) 的案例研究.

主要成果:

与BDMF和CDMF相比,CBMF显著增加了土壤水分.
土壤有机碳 (SOC),颗粒大小和pH值是关键因素.
CEEMDAN-LSTM框架实现了高仿真精度 (R2 0.80-0.92).
据悉,CBMF表现出优越的水文保护能力.

结论:

CEEMDAN-LSTM框架有效地模拟了不同深度和森林类型的土壤水分.
CBMF增强了土壤水文过程和水资源管理.
这项研究为气候变化下的适应性森林管理提供了科学基础.

关键词:

这是CEEMDAN-LSTM模型.混合森林是一种混合森林.降水变化降水变化土壤地平线土壤地平线土壤水分土壤水分

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