Assessing long-term trends and variability in precipitation patterns: a study in the Northern Cape, South Africa

The Northern Cape, the largest province in South Africa, is characterized by an arid to semi-arid climate, marked by low and highly variable precipitation. Rainfall patterns in this region exhibit pronounced seasonality and notable spatial heterogeneity, which carry significant implications for agricultural practices and water resource management. In light of the increasing unpredictability of precipitation and the rising concerns regarding climate variability, this study investigates long-term trends in rainfall and their potential impacts on agricultural livelihoods within the Northern Cape. The objectives of this study included the analysis of historical precipitation trends and variability, with a focus on potential changes in annual rainfall totals, seasonal distribution, and the occurrence of extreme weather events. Data were obtained from NASA's POWER database and analyzed using JASP software. The Mann-Kendall trend test was employed to identify monotonic trends, while the Kreskas-Wallis test was utilized to examine spatial variations in rainfall across five district municipalities. Descriptive statistical methods, encompassing measures of central tendency, dispersion, and outlier detection, were applied to elucidate rainfall patterns and variability. The results revealed significant regional disparities in precipitation, with Frances Baard and John Tool districts exhibiting higher mean rainfall compared to Namakwa and ZF Mgcawu. Although no statistically significant long-term decline in rainfall was identified, the study found increasing variability, characterized by prolonged dry spells and isolated extreme rainfall events. These fluctuations present substantial risks to agricultural sustainability, particularly for smallholder farmers who depend on rain-fed agriculture and livestock grazing. The findings highlight the necessity for adaptive water management strategies, enhanced climate forecasting, and targeted support for farmers. Policy recommendations include the enhancement of irrigation infrastructure, the promotion of drought-resistant agricultural practices, and the strengthening of early warning systems. Future research should prioritize the integration of socioeconomic factors into climate adaptation strategies to improve resilience among vulnerable communities in the Northern Cape.

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Publication Details

Journal
Human Science Research Council SA
Published
2026-05-22
DOI
https://doi.org/10.14749/32359263
Primary Topic
Climate variability and models
Type
article
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article

Assessing long-term trends and variability in precipitation patterns: a study in the Northern Cape, South Africa

Human Sciences Research Council
Human Science Research Council SA
Climate variability and models
article

Assessing long-term trends and variability in precipitation patterns: a study in the Northern Cape, South Africa

Human Sciences Research Council
article en

Abstract

The Northern Cape, the largest province in South Africa, is characterized by an arid to semi-arid climate, marked by low and highly variable precipitation. Rainfall patterns in this region exhibit pronounced seasonality and notable spatial heterogeneity, which carry significant implications for agricultural practices and water resource management. In light of the increasing unpredictability of precipitation and the rising concerns regarding climate variability, this study investigates long-term trends in rainfall and their potential impacts on agricultural livelihoods within the Northern Cape. The objectives of this study included the analysis of historical precipitation trends and variability, with a focus on potential changes in annual rainfall totals, seasonal distribution, and the occurrence of extreme weather events. Data were obtained from NASA's POWER database and analyzed using JASP software. The Mann-Kendall trend test was employed to identify monotonic trends, while the Kreskas-Wallis test was utilized to examine spatial variations in rainfall across five district municipalities. Descriptive statistical methods, encompassing measures of central tendency, dispersion, and outlier detection, were applied to elucidate rainfall patterns and variability. The results revealed significant regional disparities in precipitation, with Frances Baard and John Tool districts exhibiting higher mean rainfall compared to Namakwa and ZF Mgcawu. Although no statistically significant long-term decline in rainfall was identified, the study found increasing variability, characterized by prolonged dry spells and isolated extreme rainfall events. These fluctuations present substantial risks to agricultural sustainability, particularly for smallholder farmers who depend on rain-fed agriculture and livestock grazing. The findings highlight the necessity for adaptive water management strategies, enhanced climate forecasting, and targeted support for farmers. Policy recommendations include the enhancement of irrigation infrastructure, the promotion of drought-resistant agricultural practices, and the strengthening of early warning systems. Future research should prioritize the integration of socioeconomic factors into climate adaptation strategies to improve resilience among vulnerable communities in the Northern Cape.

Human Science Research Council SA
Zero hunger
Openalex Percentile: Top 6%
Climate variability and models
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