LIU Kai
1 School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China 2 Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources/Liaoning Province, Shenyang 110000, China 3 Shenyang Center of China Geological Survey, Northeast Geological S&T Innovation Center of China Geological Survey, Shenyang 110000, ChinaDAI Huimin
2 Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources/Liaoning Province, Shenyang 110000, China 3 Shenyang Center of China Geological Survey, Northeast Geological S&T Innovation Center of China Geological Survey, Shenyang 110000, ChinaSONG Yunhong
2 Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources/Liaoning Province, Shenyang 110000, China 3 Shenyang Center of China Geological Survey, Northeast Geological S&T Innovation Center of China Geological Survey, Shenyang 110000, ChinaLIANG Shuai
2 Key Laboratory of Black Soil Evolution and Ecological Effect, Ministry of Natural Resources/Liaoning Province, Shenyang 110000, China 3 Shenyang Center of China Geological Survey, Northeast Geological S&T Innovation Center of China Geological Survey, Shenyang 110000, ChinaYANG Zhongfang
1 School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, ChinaThis study was funded by the National Key Research and Development Program of China (Grant No. 2023YFD1500801), and Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA28020302), and the Basic Geological Survey Project of China Geological Survey (Grant No. DD20230089), and the project of Northeast Geological S&T Innovation Center of China Geological Survey (Grant Nos. QCJJ2023-53, QCJJ2023-54, QCJJ2022-41). The soil data used in this study were from the regional multi-purpose geochemical survey project, which was a cooperation between the China Geological Survey and provincial governments in China. Many people contributed to the planning and implementation of this project, and we would like to express our sincere thanks to all participants. The authors are also grateful to the anonymous reviewers for their suggestions, which have greatly improved the paper's quality.
The understanding of the spatial distribution of soil organic carbon (SOC) and its influencing factors is crucial for comprehending the global carbon cycle. However, the impact of soil geochemical and climatic conditions on SOC remains limited, particularly in dryland farming areas. In this study, we aimed to enhance the understanding of the factors influencing the distribution of SOC in the drylands of the Songliao Plain, Northeast China. A dataset comprising 35,188 measured soil samples was used to map the SOC distribution in the region. Multiple linear regression (MLR) and random forest models (RFM) were employed to assess the importance of driving indicators for SOC. We also carried out partial correlation and path analyses to further investigate the relationship between climate and geochemistry. The SOC content in dryland soils of the Songliao Plain ranged from 0.05% to 11.63%, with a mean value of 1.47% ± 0.90%. There was a notable increasing trend in SOC content from the southwest to the northeast regions. The results of MLR and RFM revealed that temperature was the most critical factor, demonstrating a significant negative correlation with SOC content. Additionally, iron oxide was the most important soil geochemical indicator affecting SOC variability. Our research further suggested that climate may exert an indirect influence on SOC concentrations through its effect on geochemical properties of soil. These insights highlight the importance of considering both the direct and indirect impact of climate in predicting the SOC under future climate change.
LIU Kai, DAI Huimin, SONG Yunhong, LIANG Shuai, YANG Zhongfang.2024.[J]. Acta Geologica Sinica(),98(5):1394-1403
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