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关于中国洛斯山区土壤呼吸的多层次动态和环境控制

Yarong Sun¹, Jian Li¹, Jie Tian²

¹State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China; College of Soil and Water Conservation Science and Engineering (Institute of Soil and Water Conservation), Northwest A&F University, Yangling 712100, China.

The Science of the total environment

|June 29, 2025

概括

气象数据,特别是露点温度,可以准确地预测各种土壤深度的土壤呼吸 (SR). 低温显著影响SR,地表土壤对二氧化碳排放的贡献最大.

科学领域:

土壤科学土壤科学
环境科学环境科学
气候变化研究气候变化研究

背景情况:

准确估计土壤二氧化碳 (CO2) 流量对于了解气候变化对土壤碳循环的影响至关重要.
很少有统计模型有效地利用气象数据预测土壤呼吸 (SR),特别是在深层土壤中.

研究的目的:

评估不同土壤深度 (0-10,10-50,50-100厘米) 的SR气象数据的预测能力.
分析2005-2022年中国洛斯山区SR和气象因素的时间频率模式.
确定影响SR的关键气象驱动因素.

主要方法:

使用气象数据进行统计建模,以预测SR.
在多种深度对土壤二氧化碳排放的分析.
波形分析用于检查时间频率模式和SR与气象因素之间的相关性.

主要成果:

基于露点温度的模型在所有深度预测SR方面显示出令人满意的可重复性 (R2 0.69-0.71,NSE 0.68-0.71).
累计二氧化碳排放量为10,050.4 g·m−2 (2005-2022),其中0-10厘米深度占总排放量的72%.
波形分析表明SR的季节性周期性,低温显示出所有深度与SR的最强的间歇相关性.

结论:

露点温度是土壤呼吸时间变化的可靠预测指标.
低温在不同深度的土壤中显著影响土壤呼吸.
在研究区域,土壤上层 (0-10厘米) 是土壤二氧化碳排放的主要原因.

关键词:

露点温度是露点的温度.森林生态系统森林生态系统时间频率时间频率.波形分析波形分析土壤呼吸系统土壤呼吸系统

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