Spatiotemporal variations in dissolved organic carbon in China’s major river basins and their associations with climate change and human activities

Riverine dissolved organic carbon (DOC) is a vital element of regional carbon cycling, yet its magnitude and influencing factors remain poorly quantified. Existing large uncertainties in the distribution, trends, and drivers of DOC compromise the accuracy of terrestrial carbon budget estimations. This study compiled 1922 DOC data points from literature on four major Chinese river basins (i.e., the Songhua River Basin, Yellow River Basin, Yangtze River Basin, and Pearl River Basin) for the period 1997-2023. The spatiotemporal patterns and driving mechanisms of DOC in these basins were quantified and systematically analyzed. Key results are as follows: [1] Spatially, DOC concentration (C<sub>DOC</sub>) exhibited a distinct "north high, south low" pattern nationally, while DOC flux (F<sub>DOC</sub>) displayed an inverted "south high, north low" distribution. Temporally, C<sub>DOC</sub> in the four basins all showed a statistically significant increasing trend, with an average annual rise of 0.04 mg L⁻¹ yr⁻¹. Meanwhile, the F<sub>DOC</sub> into the sea in the Yangtze River Basin and Yellow River Basin also exhibited a statistically significant increase, with an average annual growth of 0.05 Tg yr⁻¹ [3]. Attribution analysis indicated that the spatiotemporal distribution of C<sub>DOC</sub> was influenced by both climatic factors and human activities, whereas that of F<sub>DOC</sub> was controlled primarily by streamflow. The findings of this study reflect the national distribution and dynamics of DOC in major Chinese rivers, and provide a valuable framework together with details of key parameters to support future research into global riverine carbon cycle models.

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Publication Details

Journal
Carbon Balance and Management
Published
2025-12-27
DOI
https://doi.org/10.1186/s13021-025-00387-0
Primary Topic
Marine and coastal ecosystems
Type
article
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article

Spatiotemporal variations in dissolved organic carbon in China’s major river basins and their associations with climate change and human activities

W. B. Fei, Jiabing Wu, Y. Liu, Lei Shen et al.
Carbon Balance and Management
Marine and coastal ecosystems
article

Spatiotemporal variations in dissolved organic carbon in China’s major river basins and their associations with climate change and human activities

W. B. Fei, Jiabing Wu, Y. Liu, Lei Shen, Anzhi Wang, Yuan Zhang, Yanru Sun, Rongrong Cai
article en

Abstract

Riverine dissolved organic carbon (DOC) is a vital element of regional carbon cycling, yet its magnitude and influencing factors remain poorly quantified. Existing large uncertainties in the distribution, trends, and drivers of DOC compromise the accuracy of terrestrial carbon budget estimations. This study compiled 1922 DOC data points from literature on four major Chinese river basins (i.e., the Songhua River Basin, Yellow River Basin, Yangtze River Basin, and Pearl River Basin) for the period 1997-2023. The spatiotemporal patterns and driving mechanisms of DOC in these basins were quantified and systematically analyzed. Key results are as follows: [1] Spatially, DOC concentration (C<sub>DOC</sub>) exhibited a distinct "north high, south low" pattern nationally, while DOC flux (F<sub>DOC</sub>) displayed an inverted "south high, north low" distribution. Temporally, C<sub>DOC</sub> in the four basins all showed a statistically significant increasing trend, with an average annual rise of 0.04 mg L⁻¹ yr⁻¹. Meanwhile, the F<sub>DOC</sub> into the sea in the Yangtze River Basin and Yellow River Basin also exhibited a statistically significant increase, with an average annual growth of 0.05 Tg yr⁻¹ [3]. Attribution analysis indicated that the spatiotemporal distribution of C<sub>DOC</sub> was influenced by both climatic factors and human activities, whereas that of F<sub>DOC</sub> was controlled primarily by streamflow. The findings of this study reflect the national distribution and dynamics of DOC in major Chinese rivers, and provide a valuable framework together with details of key parameters to support future research into global riverine carbon cycle models.

Carbon Balance and ManagementVol. 21(1)
Chinese Academy of Sciences (CN), Institute of Applied Ecology (CN), University of Chinese Academy of Sciences (CN)
Life below water
Openalex Percentile: Top 28%
Marine and coastal ecosystems
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