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Spatio-Temporal Variation and Its Driving Forces of Soil Organic Carbon along an Urban–Rural Gradient: A Case Study of Beijing

Author

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  • Bingrui Liu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Jiacheng Qian

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Ran Zhao

    (College of Desert Control Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Qijun Yang

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Department of Soil System Science, Helmholtz Centre for Environmental Research—UFZ, 06120 Halle (Saale), Germany)

  • Kening Wu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Land Consolidation, Ministry of Natural Resources, Beijing 100035, China)

  • Huafu Zhao

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Land Consolidation, Ministry of Natural Resources, Beijing 100035, China)

  • Zhe Feng

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Land Consolidation, Ministry of Natural Resources, Beijing 100035, China)

  • Jianhui Dong

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

Abstract

Rapid urbanization has reshaped land cover and the ecological environment, potentially improving or deteriorating soil organic carbon (SOC). However, the response of SOC to urbanization has not yet been fully exploited. Herein, by using the land-use transfer matrix, the Sen & Mann–Kendall tests, the Hurst index, and a geographical and temporal weighted regression (GTWR) model, as well as an urban–rural gradient perspective, we assessed the dynamic response of SOC to Beijing’s urbanization from 2001 to2015 and identified the main drivers. The results found that SOC stock decreased by 7651.50 t C during the study period. SOC density varied significantly along an urban–rural gradient, with high value areas mainly being located in remote mountainous rural areas and low value areas mainly being located in urban areas on the plains. There was an uneven variation in SOC density across the urban–rural gradient, with suburban areas (25–40 km away from urban cores) losing the most SOC density while urban areas and rural areas remained relatively unchanged. GTWR model revealed the spatio-temporal non-flat stability of various driving forces. Precipitation, the proportion of forest, the proportion of grassland, the population, distance to the urban center, the slope, and the silt content are the main factors related to SOC stock change. As a result, we suggest policy makers reconceptualize the uneven variation in the SOC between urban and rural areas, emphasize suburban areas as a target for controlling SOC loss, and take into consideration the spatial and temporal heterogeneity of the factors influencing SOC stock when evaluating policies.

Suggested Citation

  • Bingrui Liu & Jiacheng Qian & Ran Zhao & Qijun Yang & Kening Wu & Huafu Zhao & Zhe Feng & Jianhui Dong, 2022. "Spatio-Temporal Variation and Its Driving Forces of Soil Organic Carbon along an Urban–Rural Gradient: A Case Study of Beijing," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15201-:d:976117
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    References listed on IDEAS

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    Cited by:

    1. Zhouling Shao & Chunyan Chen & Yuanli Liu & Jie Cao & Guitang Liao & Zhengyu Lin, 2023. "Impact of Land Use Change on Carbon Storage Based on FLUS-InVEST Model: A Case Study of Chengdu–Chongqing Urban Agglomeration, China," Land, MDPI, vol. 12(8), pages 1-17, August.
    2. Jiang Zhu & Xiang Li & Huiming Huang & Xiangdong Yin & Jiangchun Yao & Tao Liu & Jiexuan Wu & Zhangcheng Chen, 2023. "Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    3. Zihao Wu & Yiyun Chen & Yuanli Zhu & Xiangyang Feng & Jianxiong Ou & Guie Li & Zhaomin Tong & Qingwu Yan, 2023. "Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables," Land, MDPI, vol. 12(6), pages 1-15, June.

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