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Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data

Author

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  • Mo Bi

    (School of Foreign Languages, Southeast University, Nanjing 211189, China
    African Studies Center, Institute of International and Regional Studies, Southeast University, Nanjing 211189, China)

  • Fangyi Ren

    (School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

  • Yian Xu

    (School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

  • Xinya Guo

    (School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

  • Xixi Zhou

    (School of Foreign Languages, Southeast University, Nanjing 211189, China)

  • Dmitri van den Bersselaar

    (Institute of African Studies, Leipzig University, D-04107 Leipzig, Germany)

  • Xinfeng Li

    (School of Foreign Languages, Southeast University, Nanjing 211189, China
    African Studies Center, Institute of International and Regional Studies, Southeast University, Nanjing 211189, China)

  • Hang Ren

    (Institute of Population Studies, Nanjing University of Posts and Telecommunications, Nanjing 210042, China)

Abstract

This study investigates the spatio-temporal dynamics of Climate Potential Productivity (CPP) in Central Africa during 1901–2019 using the Thornthwaite Memorial model coupled with Mann–Kendall tests based on high spatial and temporal resolution data. The results demonstrate the climate–vegetation interactions under global warming: (1) Central Africa exhibited a statistically significant warming trend (r 2 = 0.33, p < 0.01) coupled with non-significant rainfall reduction, suggesting an emerging warm–dry climate regime that parallels meteorological trends observed in North Africa. (2) Central Africa exhibited an overall increasing trend in CPP, with temporal fluctuations closely aligned with precipitation variability. Specifically, the CPP in Central Africa has undergone three distinct phases: an increasing phase (1901–1960), a decreasing phase (1960–1980), and a slow recovery phase (1980–2019). The multiple intersection points between the UF and UB curves indicate that Central Africa’s CPP has been significantly affected by climate change under global warming. (3) The correlation of CPP–Temperature was mainly positive, mainly distributed in the Lower Guinea Plateau and the northern part of the Congo Basin (r 2 = 0.26, p < 0.1). The relationship of CPP–Precipitation showed predominantly a very strong positive correlation (r 2 = 0.91, p < 0.01).

Suggested Citation

  • Mo Bi & Fangyi Ren & Yian Xu & Xinya Guo & Xixi Zhou & Dmitri van den Bersselaar & Xinfeng Li & Hang Ren, 2025. "Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data," Land, MDPI, vol. 14(8), pages 1-16, July.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:8:p:1535-:d:1710740
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