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38. Changes in Soil Aggregate Carbon Components and Responses to Plant Input during Vegetation Restoration in the Loess Plateau, China.

Author

Liang, Yaoyue, Fang, Jingbo, Jia, Wenjing, Wang, Shijie, Liu, Hanyu, Liu, Weichao, Zhang, Qi, Yang, Gaihe, Han, Xinhui, and Ren, Guangxin

Subjects
NEAR infrared spectroscopy, SOIL structure, CARBON in soils, BLACK locust, SOIL depth
Abstract

Vegetation restoration is an effective measure to cope with global climate change and promote soil carbon sequestration. However, during vegetation restoration, the turnover and properties of carbon within various aggregates change. The effects of plant source carbon input on surface soil and subsurface soil may be different. Thus, the characteristics of carbon components in aggregates are affected. Therefore, the research object of this study is the Robinia pseudoacacia forest located in 16–47a of the Loess Plateau, and compared with farmland. The change characteristics of organic carbon functional groups in 0–20 cm, 20–40 cm, and 40–60 cm soil layers were analyzed by Fourier near infrared spectroscopy, and the relationship between the chemical structure of organic carbon and the content of organic carbon components in soil aggregates was clarified, and the mechanism affecting the distribution of organic carbon components in soil aggregates was revealed in the process of vegetation restoration. The results show the following: (1) The stability of surface aggregates is sensitive, while that of deep aggregates is weak. Vegetation restoration increased the surface soil organic carbon content by 1.97~3.78 g·kg−1. (2) After vegetation restoration, the relative contents of polysaccharide functional groups in >0.25 mm aggregates were significantly reduced, while the relative contents of aromatic and aliphatic functional groups of organic carbon were significantly increased. The opposite is true for aggregates smaller than 0.25 mm. (3) With the increase in soil depth, the effect of litter on organic carbon gradually decreased, while the effect of root input on the accumulation of inert carbon in deep soil was more lasting. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Soil nitrogen regulates root carbon secretion in the context of global change: A global meta‐analysis.

Author

Zeng, Jia, Li, Xiangyang, Xing, Liheng, Chen, Ling, Li, Yu, Wang, Xing, Zhang, Qi, Yang, Gang, Ren, Chengjie, Yang, Gaihe, and Han, Xinhui

Subjects
PLANT exudates, CARBON cycle, NITROGEN in soils, AKAIKE information criterion, CARBON in soils
Abstract

The secretion of root exudates plays a crucial regulatory role in the process of soil carbon cycling. It is also significantly affected by global change factors (GCFs), yet the general patterns of these changes have not been fully explored, which greatly limits the accurate establishment of carbon cycling models under the background of global change.To address this, we conducted a meta‐analysis that included 1926 data pairs to examine the effects of global variability on root exudates. Furthermore, we performed multi‐model inference using Akaike's information criterion (AIC) to assess the relative importance of multiple factors such as annual average temperature (AAT), type of ecosystem, intensity of treatment, duration and more.The findings revealed that GCFs generally improved the production of root exudates. While the addition of nitrogen and its interaction with increased temperature significantly reduced the rate of root carbon secretion, all other factors significantly promoted it. Interestingly, as the intensity of warming increased, the rate of root carbon secretion caused by warming displayed a downward trend, with a threshold of 3.6°C. Furthermore, the influence of GCFs on root carbon secretion was found to be regulated by soil nitrogen, confirming the importance of nutrients from the rhizosphere in this process.These results underscore the importance of GCFs in root exudates and emphasize the crucial role of soil total nitrogen in the regulation of root carbon secretion. They also provide valuable scientific parameters for the development of more accurate models for the global‐change carbon cycle. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Published
2024
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