定义森林土壤中散装密度和有机碳含量之间的关系,使用通用线性混合效应模型
Aleš Kučera1, Dušan Vavříček1,2, Karel Drápela3
1Department of Geology and Soil Science, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, 613 00, Czech Republic.
Carbon balance and management
|September 30, 2025
概括
这项研究开发了一种使用通用线性混合效应模型 (GLMER) 的预测模型,以准确估计森林土壤散装密度和总有机碳. 该模型显示了各种土壤类型和岩基的高预测能力,有助于土壤科学研究.
科学领域:
- 土壤科学 土壤科学
- 森林生态 森林生态
- 环境建模环境建模
背景情况:
- 研究了森林土壤散装密度和总有机碳之间的关系.
- 利用了来自不同地质和土壤类型的950多个土壤样本.
- 在分析中采用了通用线性混合效应模型 (GLMER).
研究的目的:
- 为森林土壤属性建立一个预测性脚转移函数.
- 定义散装密度和总有机碳之间的关系.
- 为了验证模型的预测准确性.
主要方法:
- 应用了通用的线性混合效应模型 (GLMER).
- 收集了来自各种岩基和土壤类型的950多个土壤样本.
- 使用内部 (10%数据集) 和外部 (NFI2数据集) 数据验证了模型.
主要成果:
- 全球GLMER对散装密度和总有机碳的预测准确度很高.
- 模型残留物是对称的,与实验室值的偏差最小.
- 验证证实了模型参数的有效性,尽管与外部数据出现了轻微的差异.
结论:
- 开发了精确的脚转移功能,以从总有机碳中估计散装密度,反之亦然.
- 全球GLMER被建议用于实际应用在土壤属性估计中.
- 为了更广泛的适用性,建议进行进一步的区域验证.
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