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Article

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

1
School of Foreign Languages, Southeast University, Nanjing 211189, China
2
Institute of International and Regional Studies, Southeast University, African Studies Center, Nanjing 211189, China
3
School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210023, China
4
Institute of African Studies, Leipzig University, D-04107 Leipzig, Germany
5
Institute of Population Studies, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
*
Authors to whom correspondence should be addressed.
Land 2025, 14(8), 1535; https://doi.org/10.3390/land14081535 (registering DOI)
Submission received: 3 June 2025 / Revised: 24 July 2025 / Accepted: 25 July 2025 / Published: 26 July 2025
(This article belongs to the Section Land–Climate Interactions)

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 (r2 = 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 (r2 = 0.26, p < 0.1). The relationship of CPP–Precipitation showed predominantly a very strong positive correlation (r2 = 0.91, p < 0.01).
Keywords: Central Africa; climate potential productivity (CPP); Thornthwaite Memorial model; Mann–Kendall test Central Africa; climate potential productivity (CPP); Thornthwaite Memorial model; Mann–Kendall test

Share and Cite

MDPI and ACS Style

Bi, M.; Ren, F.; Xu, Y.; Guo, X.; Zhou, X.; van den Bersselaar, D.; Li, X.; Ren, H. Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data. Land 2025, 14, 1535. https://doi.org/10.3390/land14081535

AMA Style

Bi M, Ren F, Xu Y, Guo X, Zhou X, van den Bersselaar D, Li X, Ren H. Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data. Land. 2025; 14(8):1535. https://doi.org/10.3390/land14081535

Chicago/Turabian Style

Bi, Mo, Fangyi Ren, Yian Xu, Xinya Guo, Xixi Zhou, Dmitri van den Bersselaar, Xinfeng Li, and Hang Ren. 2025. "Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data" Land 14, no. 8: 1535. https://doi.org/10.3390/land14081535

APA Style

Bi, M., Ren, F., Xu, Y., Guo, X., Zhou, X., van den Bersselaar, D., Li, X., & Ren, H. (2025). Impact Assessment of Climate Change on Climate Potential Productivity in Central Africa Based on High Spatial and Temporal Resolution Data. Land, 14(8), 1535. https://doi.org/10.3390/land14081535

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