Soil organic carbon fractions in China: Spatial distribution, drivers, and future changes

土壤碳 环境科学 空间分布 碳循环 陆地生态系统 植被(病理学) 总有机碳 空间变异性 气候变化 碳纤维 土壤有机质 自然地理学 环境化学 生态系统 土壤科学 土壤水分 地理 生态学 遥感 化学 数学 材料科学 统计 复合数 生物 病理 医学 复合材料
作者
Shihang Zhang,Xiaobing Zhou,Yusen Chen,Fan Du,Zhu Bo
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:919: 170890-170890 被引量:27
标识
DOI:10.1016/j.scitotenv.2024.170890
摘要

Soil is the world's largest terrestrial carbon pool and plays an important role in the global carbon cycle, which may be greatly affected by global change. Recently, research frameworks have indicated that division of soil organic carbon (SOC) into two forms particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) can help us better understand SOC cycle. However, there is a lack of the use of meta-analysis combined with machine learning models to explore the spatial distribution of SOC fractions at large scales. Based on 356 studies conducted in Chinese terrestrial ecosystems, we performed a meta-analysis of extracted data and measured data combined with machine learning models to reveal the spatial distribution of soil POC density (POCD) and MAOC density (MAOCD) and the main drivers of variations in POCD and MAOCD. Our study demonstrated that POCD and MAOCD in China's soil were 3.24 and 2.61 kg m−2, with stocks of 31.10 and 25.06 Pg, respectively. Climate, soil, and vegetation properties together explained 44.9 % and 27.2 % of the variation in POCD and MAOCD, respectively. Climate was more important than other variables in controlling the changes in POCD, with mean annual temperature being specifically the main driver. Soil, however, was more important than other variables in controlling changes in MAOCD, with soil clay content being the main driver. Compared to the other climate scenarios, the rate of change in POCD and MAOCD was higher with a 1.5 °C increase in temperature. In the future, we should pay more attention to the impact of climate change on POCD, which provides a theoretical basis for achieving the "dual-carbon" target. Our study contributes to the understanding of the potential mechanisms of the changes in SOC fractions under global change and provides useful information for future prediction models to simulate the impacts of global change.
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