Trend Analysis of Monthly Rainfall Data in Central Zone

Kassile, Telemu

doi:10.3844/jmssp.2013.1.11

Cited by 16 publications

(9 citation statements)

References 13 publications

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“…In Kenya generally, farmers have experienced changes in climate in the past 30 years than in the past 10 years with more changes having been experienced in the semi-arid regions (Kalungu, Filho and Harris, 2013). Long rains in central Kenya have declined more than 100 millimeters since the mid-1970s (Kassile, 2013). This decline is probably linked to warming in the Indian Ocean, and seems likely to continue.…”

Section: Discussionmentioning

confidence: 99%

Climate Change Effects on Crop Production in Kenya: Farmer Perceptions and Adaptation Strategies

Agesa¹,

Onyango²,

Kathumo³

et al. 2019

AJFAND

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In Yatta sub-County, a semi-arid land, there is scanty information on the causes and effects of climate change, as well as agricultural adaptation strategies. This scanty information assessment of climate related risks, and decision making about appropriate adaptation measures. A survey was conducted in two wards of Yatta, Kenya, to identify opportunities for building farmer capacity in dealing with climate variability. A semistructured questionnaire was administered to 60 households randomly distributed in the two wards and data was analyzed using Statistical Package for Social Scientists (SPSS). Results showed that farmers in the region were aware of climate change (98%) with the known indicators reported to be erratic and low rainfall (50%), drought (33%), and rising temperatures (14%). Farmers mentioned deforestation (73%) as the main cause of climate change, and reported major impacts on crop production in the region, such as the introduction of drought tolerant crops (45%) reduced yields (43%) and changes in planting time (38%). As a result, farmers prepared the land early using organic and inorganic fertilizers, planted early-maturing crop varieties and carried out water and soil conservation practices. Even though farmers in Yatta sub-county are aware of climate change its impacts and different coping and adaptation strategies, crop production in the region continues to decline. There is need, therefore, to increase farmer's capacity to better adapt to the effects of climate change to ensure sustainable agricultural production and improved food security.

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Section: Discussionmentioning

confidence: 99%

Climate Change Effects on Crop Production in Kenya: Farmer Perceptions and Adaptation Strategies

Agesa¹,

Onyango²,

Kathumo³

et al. 2019

AJFAND

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“…Also, regionalization of precipitation regime is essential for the optimum design and management of water related activities. Spatial distribution and temporal trend of precipitation have been widely studied in some regions, such as in the Mediterranean areas (Rodrigo and Trigo 2007;Martínez et al 2007;Longobardi and Villani 2009;Beguería et al 2009;Mourato et al 2010;López-Moreno et al 2010), in Iran (Modarres and Sarhadi 2009;Tabari and Hosseinzadeh Talaee 2011;Raziei et al 2012Raziei et al , 2014Soltani et al 2012;Dinpashoh et al 2014), in India (Guhathakurta and Rajeevan 2008;Jain and Kumar 2012;Dimri and Dash 2012;Jhajharia et al 2012) and in Africa (Cheung et al 2008;Senapathi et al 2010;Kassile 2013). Likewise, precipitation regimes have been studied in different regions such as Sri Lanka (Puvaneswaran and Smithson 1993), southwest United States and northern Mexico (Comrie and Glenn 1998), Nepal (Kansakar et al 2004) and China (Chen et al 2009;Xiao et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Regionalization of Precipitation Regimes in Iran Using Principal Component Analysis and Hierarchical Clustering Analysis

Darand

Daneshvar

2014

Environ. Process.

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Daily gridded precipitation data, between years 1951 and 2007, obtained from APHRODITE database, were analyzed to regionalize precipitation regimes in Iran country. The S-mode of principal component analysis (PCA) was applied on seasonal correlation matrix with eight derived variables. Based on eigenvalues over one, three factors were extracted between the components and varimax rotation was used to enhance interpretability of retained PCA scores. Then, hierarchical clustering analysis (HCA) was applied to group the homogeneous precipitation regimes. According to the HCA, nine distinct and homogenous regions were recognized. Then, the Kolmogorov-Smirnov test on seasonal percentage of precipitation distribution in these regions was used to identify the independent regimes which have been spatially mapped by using GIS. This study showed that the APHRODITE dataset potentially could be used for regionalization of precipitation regimes in Iran. According to the results, use of this dataset in order to group precipitation regimes is recommended for arid and semi-arid regions of mid-latitudes, especially in the Middle East countries.

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“…Historical data from the Food and Agriculture Organization Statistical Databases of the United Nations (FAOSTAT) indicate that the production of pearl millet in the SSA region has declined over the last two decades (FAOSTAT was visited on 10 December 2018), which can be directly attributed to poor soil and weather conditions, among other factors. The weather conditions are more severely challenging to most farmers, with spatiotemporal variation in rainfall frequently reported [18][19][20]. The current practices which are being used to address STRV are limited and the influence of STRV on crop yields at higher resolutions is poorly understood.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Intra and Interseasonal Rainfall Variability and Its Effects on Pearl Millet Yield in a Semiarid Agroclimate: Significance of Scattered Fields and Tied Ridges

Silungwe

Graef

Bellingrath-Kimura

et al. 2019

Water

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Establishing food security in sub-Saharan African countries requires a comprehensive and high resolution understanding of the driving factors of crop production. Poor soil and adverse climate conditions are among the major drivers of poor regional crop production. Drought and rainfall variability challenges are not fully being addressed by rainfed producers in semiarid areas. In this study, we analysed the spatiotemporal rainfall variability (STRV) and its effects on pearl millet yield using two seasons of data collected from 38 rain gauge stations scattered randomly in farm plots within a 1500 ha area of semiarid central Tanzania. The STRV effects on pearl millet yield under flat and tied ridge management were analysed. Our results show that seasonal rainfall can vary significantly for neighboring fields at distances of less than 200 m, which impacts yield. The STRV for daily rainfall was found to be more critical than for total seasonal rainfall amounts. Scattering fields can help farmers avoid total harvest loss by obtaining at least some yield from the areas that received adequate rain. The use of tied ridges is recommended to conserve soil moisture and improve yields more than flat cultivation in semiarid areas.

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Trend Analysis of Monthly Rainfall Data in Central Zone

Cited by 16 publications

References 13 publications

Climate Change Effects on Crop Production in Kenya: Farmer Perceptions and Adaptation Strategies

Climate Change Effects on Crop Production in Kenya: Farmer Perceptions and Adaptation Strategies

Regionalization of Precipitation Regimes in Iran Using Principal Component Analysis and Hierarchical Clustering Analysis

Analysis of Intra and Interseasonal Rainfall Variability and Its Effects on Pearl Millet Yield in a Semiarid Agroclimate: Significance of Scattered Fields and Tied Ridges

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