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Research Progress on the Impact of Land Use Change on Soil Carbon Sequestration

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  • Hao Yu

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wei Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Hebei Collaborative Innovation Center for Urban-Rural Integration Development, Shijiazhuang 050061, China)

Abstract

Land use change is the most important driving factor of terrestrial carbon stock change. Soil is the largest carbon reservoir of terrestrial ecosystems, and the impact of land use change on soil carbon sequestration is related to major issues such as the global warming process and food security. The research can provide a basis for land managers and policy makers to develop appropriate planning strategies for soil carbon sequestration management. Despite the widespread attention of relevant studies, macro reviews are still lacking. In order to objectively reveal the current situation of the research field, firstly this paper conducted a bibliometric analysis based on relevant papers in the Web of Science Core Collection database from 1985 to 2021. Secondly, we conducted a review study of land use change on soil carbon sequestration. The research results showed that: (1) the overall amount of the published literature in related fields showed an upward trend, and the development could be divided into three stages, growing slowly from 1985 to 1999, steadily from 2000 to 2009, and rapidly from 2010 to 2021. (2) From the perspective of national distribution, the published papers were mainly from the United States and China, which were much higher than those in other countries. There was mutual cooperation between research institutions in different countries and on a certain scale. (3) Since 2000, soil carbon sequestration has been more frequently mentioned in articles on land use change. Related research was mostly focused on exploring the impact of different land use types and different farming methods on soil organic carbon content in the context of global warming. Land use change and management among agricultural land, woodland, and grassland are the focus of research. The conversion of woodland to agricultural land and grassland is an important reason for the decrease in soil carbon sequestration. Corresponding management measures can be taken to improve soil carbon sequestration. Future research should use multidisciplinary technical means and methods to further explore the interaction mechanism between climate change, land use change, and soil carbon sequestration, so as to carry out more accurate prediction and assessment of different climate scenarios.

Suggested Citation

  • Hao Yu & Wei Song, 2023. "Research Progress on the Impact of Land Use Change on Soil Carbon Sequestration," Land, MDPI, vol. 12(1), pages 1-18, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:213-:d:1030085
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    References listed on IDEAS

    as
    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Na Su & Zhenbo Wang, 2022. "Visual Analysis of Global Carbon Mitigation Research Based on Scientific Knowledge Graphs," IJERPH, MDPI, vol. 19(9), pages 1-15, May.
    3. Deborah Lawrence & Karen Vandecar, 2015. "Effects of tropical deforestation on climate and agriculture," Nature Climate Change, Nature, vol. 5(1), pages 27-36, January.
    4. Pat H. Bellamy & Peter J. Loveland & R. Ian Bradley & R. Murray Lark & Guy J. D. Kirk, 2005. "Carbon losses from all soils across England and Wales 1978–2003," Nature, Nature, vol. 437(7056), pages 245-248, September.
    5. Jie Xu & Pengnan Xiao, 2022. "A Bibliometric Analysis on the Effects of Land Use Change on Ecosystem Services: Current Status, Progress, and Future Directions," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    6. Yingqian Huang & Fengqin Li & Hualin Xie, 2020. "A Scientometrics Review on Farmland Abandonment Research," Land, MDPI, vol. 9(8), pages 1-26, August.
    7. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    8. Deborah Lawrence & Karen Vandecar, 2015. "Erratum: Effects of tropical deforestation on climate and agriculture," Nature Climate Change, Nature, vol. 5(2), pages 174-174, February.
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