中国农田土壤有机碳空间分布、驱动因素及未来趋势

Shihang Zhang, Yusen Chen, Xiaobing Zhou, Bo Zhu
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引用次数: 0

摘要

农田土壤有机碳库是全球碳库中最活跃的部分之一。因此,估算农田土壤有机碳储量、驱动因素和未来演变趋势对提高农田土壤固碳减排能力和粮食生产稳定性具有重要意义。在本研究中,我们利用856个样品在0-20 cm深度测定土壤有机碳密度(SOCD), 544个样品在0-100 cm深度测定土壤有机碳密度(SCOD)。利用5种机器学习模型,结合环境因子数据,对中国农田有机碳的空间分布、主要驱动因素及未来趋势进行了预测。结果表明:(1)socd0 ~ 20 cm和socd0 ~ 100 cm的平均值分别为2.98和7.88 kg m−2,储量分别为5.64和14.91 Pg,分别占陆地生态系统SOC储量的15.78%和17.25%;(2)土壤理化性质比其他因子更能解释土壤有机质含量的空间变异,对socd0 ~ 20 cm和socd0 ~ 100 cm土壤有机质含量空间变异的贡献率分别为50%和43%。socd0 ~ 20 cm主要受氮沉降和人为影响驱动;socd0 ~ 100 cm主要受pH、归一化植被指数、年平均降水量和年平均气温的驱动。(3)在5-8.5(高碳排放)共享社会经济路径下,两层土壤有机碳储量下降趋势最大。我们的研究对于了解农田土壤碳储量的全球变化以及提高人类实施减缓和适应战略的能力具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial distribution, drivers and future trends of soil organic carbon in cropland of China

Spatial distribution, drivers and future trends of soil organic carbon in cropland of China

Spatial distribution, drivers and future trends of soil organic carbon in cropland of China

Spatial distribution, drivers and future trends of soil organic carbon in cropland of China

Soil organic carbon (SOC) pool of cropland is one of the most active parts of the global C pool. Hence, it is important to estimate cropland SOC stock, drivers, and future evolutionary trends in order to improve the C sequestration and emission reduction capacity of cropland soil and stability of food production. In this study, we utilized 856 samples for SOC density (SOCD) at a depth of 0–20 cm and 544 samples for SCOD at 0–100 cm. Using five machine learning models combined with environmental factors data, we predicted the spatial distribution, key drivers, and future trends of SOC in China's croplands. The results were as follows: (1) The mean values of SOCD0–20 cm and SOCD0–100 cm were 2.98 and 7.88 kg m−2, respectively, and the stocks were 5.64 and 14.91 Pg, which accounted for 15.78% and 17.25% of the SOC stocks in terrestrial ecosystems, respectively. (2) Soil physicochemical properties consistently explained more of the spatial variation in SOCD uniquely than other factors, explaining 50% and 43% of the spatial variation in SOCD0–20 cm and SOCD0–100 cm, respectively. SOCD0–20 cm was mainly driven by nitrogen deposition and human impacts; SOCD0–100 cm was mainly driven by pH, normalized difference vegetation index, mean annual precipitation, and mean annual temperature. (3) Under Shared Socioeconomic Pathway 5–8.5 (high-C emissions), the greatest decline trend of cropland two-depth SOC stock. Our study is important for understanding global changes in cropland soil C stocks and in enhancing human capacity to implement mitigation and adaptation strategies.

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