Analysis of Rainfall Distribution, Temporal Trends, and Rates of Change in the Savannah Zones of Nigeria

Ibrahim, Ishiaku; Usman, Muhammad; Abdulkadir, A.; Emigilati, M.A.

doi:10.1080/07055900.2018.1502149

Cited by 9 publications

(6 citation statements)

References 23 publications

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“…Fig. 5 graphically revealed that the rainfall trend in the State during the period under consideration has been on the increase [25,27,28]. Also, in line with documented evidence [29], the study shows that precipitation has much larger spatial and temporal variability than temperature.…”

Section: Analysis Of Climatic Datasupporting

confidence: 81%

Effects of Climate Variability on Crop Yield and its Implications for Smallholder Farmers and Precision Agriculture in Guinea Savanna of Nigeria

Sule

Ibrahim

Mayaki

et al. 2020

JGEESI

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This study aimed to examine the effects of climate variability on annual crop yield at smallholder farmers’ level in the Guinea Savanna Region of Nigeria, using Niger State as a case study. Climate data (rainfall and maximum temperature) for a period of 38 years (1971-2008) was acquired from National Cereals Research Institute, Bida and Nigeria Meteorological Agency, while crop yield data was acquired from Niger State Agricultural Mechanization Development Authority (NAMDA). Focused Group Discussions (FGDs) were undertaken in 18 communities in six local government areas in Niger State spread across the three agricultural zones in the State to validate the impact of climate change and variability. The climate data was analyzed with the aid of charts. Results showed a generally rising trend in both temperature and rainfall across the State. It shows that rainfall is not only more variable, but its onset and cessation patterns have shifted and its occurrence very inconsistent. Linear relationships between climatic variables and the major crops showed moderate to strong positive and negative relationships. However, when crop yields were regressed with the climate variables, only maize (.032), bambara groundnut (.029) and groundnut (.007) were very significant at .05 confidence level (95%). The policy implication of this finding is the need to provide the farmers with local climate information and the need for vigorous pursuance of the development of high yield crop varieties better suited to changing climate conditions in the Guinea Savanna ecological zone by research institutes and other relevant agencies.

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Section: Analysis Of Climatic Datasupporting

confidence: 81%

Effects of Climate Variability on Crop Yield and its Implications for Smallholder Farmers and Precision Agriculture in Guinea Savanna of Nigeria

Sule

Ibrahim

Mayaki

et al. 2020

JGEESI

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“…Equation ( 8), where n is the length of the trend cycle (years), x is the absolute average value of the time series defined and the Theil-Sen median estimator, and n is the length of the trend period, applied to calculate the RPC of monthly and yearly rainfall. This method was employ by [47], [48], and [7] in a similar study.…”

Section: Relatıve Percentage Changementioning

confidence: 99%

“…Nevertheless, rainfall and temperature patterns analysis are often used to track climate change intensity and size [4][5][6]. Evaporation rates have been increasing in staggering amounts, one of the most significant influences of climate variability, causing similar increases in extreme rainfall [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatio-temporal rainfall trends and rainfall variability in Botswana between 1958 and 2019

Gökçekuş

Kassem

MPHINYANE

2021

International Advanced Researches and Engineering Journal

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Environments with a climatic characteristic of semi-aridity exhibit high rainfall variability, increasing significantly as the climate changes. In this study, rainfall concentration and Spatiotemporal trends in annual and seasonal (November to March) rainfall in Botswana were analyzed. The satellite data is obtained from the Southern African Science Service Centre for Climate Change and Adaptive Land Management and the Climate Toolbox. The Mann-Kendall trend test (MK), autocorrelation function (ACF), relative percentage change (RPC), precipitation concentration index (PCI), and Theil-Sen's slope estimator (β) methods were adopted for data analysis. The regions include Gaborone, Maun, Francistown, Serowe, Kasane, Tsabong, Ghanzi, and Pandamatenga. The results indicated that the magnitude of change of change of the significant downward trends in the annual rainfall was found to be -1.11 mm/year at Maun, -1.62 mm/year at Ghanzi, -0.33 mm/year at Pandamatenga, and -0.25 mm/year at Tsabong. The magnitude of change of change of the significant downward trends in the seasonal rainfall was between -0.60 mm/year at Pandamatenga and -0.19 mm/year at Tsabong. All these regions, except Ghanzi, experienced a downward trend in the rainfall distribution. This is owing to the synoptic characteristic of the below-average geopotential heights over Ghanzi. Which might exacerbate the formation of convective systems, leading to a positive rainfall trend at Ghanzi. The annual calculated PCI values are divided into three classes; PCI>10≤15, PCI>16≤20, and PCI>20. The Mann-Kendall analysis of the PCI values indicates that all the regions experienced a downward rainfall trend, implying that it is heading toward a uniform to a moderate distribution. There were distinct patterns that emerged from the Pandamatenga region, indicating a strongly irregular distribution. The regions of Kasane, Maun and Francistown, demonstrated moderate to an irregular distribution. For Gaborone and Francistown, results showed occurrences of a moderate to strongly irregular distribution.

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“…Several studies (Chandrashekar & Shetty, 2018;Worku et al, 2018;Yaduvanshi & Sinha, 2017) across the world have shown similar mixed trends in the extreme indices of rainfall. Ibrahim et al, (2018) suggested that similarity in rainfall events is an indication that synoptic global weather-producing features influences rainfall regimes beside other local to regional factors. This finding is consistent with previous studies (Panthou et al, 2014;Sultan & Gaetani, 2016) that attributed rising rainfall regime to the rise in extreme rainfall.…”

Section: Heavy Very Heavy and Extremely Heavy Rainfall Daysmentioning

confidence: 99%

“…Although studies exist on the rainfall trends in Nigeria (Ibrahim, et al, 2018;Ifabiyi & Ojoye, 2013;Oguntunde, et al, 2011), the extreme rainfall events using the novel indices by Expert Team on Climate Change Detection and Indices (ETCCDI) climatic trends has rarely been explored. How the trends of rainfall change from heavy, very heavy to extremely heavy is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Statistical Analysis of Extreme Rainfall Trends Events over Savanna Zones of Nigeria and its’ Possible Impacts

Ibrahim

Emigilati²,

Kaoje³

et al. 2020

International Conference on Climate Change

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This study analysed the trends in extreme rainfall of fourteen (14) synoptic stations in the savanna zones of Nigeria for the period of 35 years (1981-2015). The study acquired daily rainfall data from Environmental Management Programmed, Federal University of Technology Minna. The data was categories into seven extreme indices (heavy, very heavy, extremely heavy rainfall days, 1day annual maximum rainfall amount, five 5-days annual maximum rainfall amount, Consecutive wet days, and simple daily intensity index) by using ETCCDI indices through RClimDex software. Statistical tests of Mann-Kendall (MK), based on a non-parametric approach was use to evaluate the possible trend in the derived indices. Results showed mixed trends of significant and insignificant in the seven selected extreme indices in some stations across the study areas. Three stations (Bauchi, Kano, and Katsina) in Sudano-Sahelian savanna zones showed consistent significant increasing trends in most of the extreme indices while two stations (Abuja and Yola) showed consistent decreasing trends in most of the extreme indices. Generally, the results showed an increase in the occurrence of extreme rainfall events in the selected variables. The increase trends are possible pointer to climate change and a possible influencing factor to the frequent occurrence of flooding across the study areas.

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Analysis of Rainfall Distribution, Temporal Trends, and Rates of Change in the Savannah Zones of Nigeria

Cited by 9 publications

References 23 publications

Effects of Climate Variability on Crop Yield and its Implications for Smallholder Farmers and Precision Agriculture in Guinea Savanna of Nigeria

Effects of Climate Variability on Crop Yield and its Implications for Smallholder Farmers and Precision Agriculture in Guinea Savanna of Nigeria

Analysis of Spatio-temporal rainfall trends and rainfall variability in Botswana between 1958 and 2019

Statistical Analysis of Extreme Rainfall Trends Events over Savanna Zones of Nigeria and its’ Possible Impacts

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