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

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).

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Publication Details

Journal
Land
Published
2025-07-26
DOI
https://doi.org/10.3390/land14081535
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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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

Xixi Zhou, Hang Ren, Fucheng Ren, Mo Bi et al.
Land
Climate variability and models
article

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

Xixi Zhou, Hang Ren, Fucheng Ren, Mo Bi, Dmitri van den Bersselaar, Xinya Guo, X. Li, Yian Xu
article en

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).

LandVol. 14(8)
Nanjing University of Posts and Telecommunications (CN), Southeast University (BD), Southeast University (CN), Nanjing University (CN), Leipzig University (DE)
National Natural Science Foundation of China, Southeast University, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 83%
Climate variability and models
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