Application of GIS to assess rainfall variability impacts on crop yield in Guinean Savanna part of Nigeria

Odekunle, Theophilus O.; Orinmoogunje, I O O; Ayanlade, Ayansina

doi:10.5897/ajb2007.000-2327

Cited by 36 publications

(26 citation statements)

References 3 publications

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“…Adejuwon [1] stated that rainwater variability impact analysis is a way of looking at the range of consequences of a given rainfall event or change. Odekunle et al [2] revealed that the scientific evidence of rainfall variability on water availability and its effects on crops yield is now stronger than ever. They attributed the causes of famine in Guinea Savanna Nigeria as due to failure of crops resulting from insufficient or untimely rainfall.…”

Section: Introductionmentioning

confidence: 99%

X-Raying Rainfall Pattern and Variability in Northeastern Nigeria: Impacts on Access to Water Supply

Ishaku¹,

Majid²

2010

JWARP

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This paper is premised on the hypothesis that the amount of rainfall in Nigeria decreases with increasing distance from the coastal areas to the north semi arid lands. This belief widely held in some circles does not really follow this pattern due to other climatic factors. This paper examined rainfall pattern and its variability in northeastern Nigeria and its impacts on access to water supply. Data on the mean monthly rainfall over a period of 33 years were collected from the Nigeria Meteorological Agency (NIMET) in Abuja, Nigeria. The result of the analysis indicates that the mean annual rainfall in the study area is not dependent on distance but some other climatic factors such as relief, solar radiation, temperature, winds, and nature of soil among others. Thus, the amount of rainfall received in Taraba and Borno states which are located in the southern most and extreme end of the study area respectively were higher than that of Gombe state which lies in between them.

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Section: Introductionmentioning

confidence: 99%

X-Raying Rainfall Pattern and Variability in Northeastern Nigeria: Impacts on Access to Water Supply

Ishaku¹,

Majid²

2010

JWARP

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“…For Enugu, the values ranged between 13.5% (long term annual rainfall) and 57.2% (dry season). The values for the long term annual rainfall does not differ too significantly from values obtained in previous studies which showed a value of 12.58% for Owerri for the period 1981 to 2008( Igweze et al, 2014, and 9% for Enugu for the period 1970 to 2000 (Odekunle et al, 2007). Based on earlier stated categorisation, long term annual rainfall at Owerri and Enugu showed little variability, and by implication higher reliability.…”

Section: Statistical Characteristics Of Rainfallmentioning

confidence: 46%

Analysis Of Rainfall Distribution In Owerri And Enugu, Nigeria Using Precipitation Concentration Index

Adegun¹,

Balogun²

2015

Ethiop. J. Env Stud & Manag

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“…5). Conversely, some studies (Duku et al 2016;Laux et al 2010;Cammarano et al 2016;Odekunle et al 2007;Deryng et al 2014) have noted impacts of climate change on crop yields under rain-fed conditions. These studies discovered that the onset of the rainy season is the most important variable for crop production.…”

Section: Discussionmentioning

confidence: 99%

Climate variability/change and attitude to adaptation technologies: a pilot study among selected rural farmers’ communities in Nigeria

2017

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Understanding climate variability and change is essential for designing adaptation policies and strategies to deal with the impacts of climate change on the agricultural sector. This Paper aims at assessing climate variability/change, the perception of rural farmers on climate change and preferred adaptation strategies among the farmers in some selected farming communities in Nigeria. The study thus used both meteorology data and social survey, to examine variability/change in climate and factors determining the adaptation techniques adopts by rural farmers. The results show a relatively uniform temperatures and some seasonal variations in recent years (diurnal range of temperature is about 10°C) but the rainfall shows much more seasonal variations. The rainfall has relatively undeviating trend from 1981 to 1996 but the trend appears to be upwards from the year 1997 to 2010. About 72.8% participants responded in the affirmative that climate is changing but there appears to be a significant relationship between the length of farming experiences and farmers' perceptions of climate change adaptation techniques. Water-related (about 53%) and nutrient related (about 52%) technologies appear to have a high preference among the farmers. The major driver that determines farmers' preference for climate change adaptation techniques is their incomes and experiences.

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Application of GIS to assess rainfall variability impacts on crop yield in Guinean Savanna part of Nigeria

Cited by 36 publications

References 3 publications

X-Raying Rainfall Pattern and Variability in Northeastern Nigeria: Impacts on Access to Water Supply

X-Raying Rainfall Pattern and Variability in Northeastern Nigeria: Impacts on Access to Water Supply

Analysis Of Rainfall Distribution In Owerri And Enugu, Nigeria Using Precipitation Concentration Index

Climate variability/change and attitude to adaptation technologies: a pilot study among selected rural farmers’ communities in Nigeria

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