Browsing by Author "Ngare, Innocent Osoro"

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    Hindrances to Adoption of Biomass Briquettes Technology as a Climate Change Mitigation Measure- Case Study of Maasai-Mau Forest adjacent Community, Kenya
    (International Journal of Renewable Energy Sources, 2020) Mokaya, Dennis Chweya; Koske, James Kibii; Gichuki, Cecilia; Ngare, Innocent Osoro; Kariuk, Charles Ndiritu; Kipkemoi, Isaac; Gichuki, Leah
    Climate change impacts on social, economic and political system cannot be understated. This paper outlines hindrances of briquettes uptake, anchored in socio economic factors. Briquettes are eco-friendly biomass green technology that reduces CO2 emissions a milestone towards climate change mitigation. High demand for wood products to meet the demand for energy supply in the Maasai-Mau region has seen the depletion of the forest cover thus increasing carbon dioxide emission and other greenhouse gases into the atmosphere. The main objective of this study was to assess hindrances to the adoption of briquettes technology as an alternative source of energy on mitigation measure to climate change in the Maasai-Mau region. The study employed an exploratory survey to collect information on demographics of adults in each homestead, sources of energy and economic livelihood. Data results were analyzed through Excel and Statistical Package of Social Sciences. From the results, the hypothesis was tested by Chi-square ( 2 ). The null hypothesis of a relatively low level of education hinders the adoption of biomass briquette was accepted, where ( 2=9.866, DF=6, P=0.13). From the findings, the study concluded that lack of awareness of the briquetting technology and benefits, was the primary hindrance to the adoption of biomass briquettes technology in mitigating climate change in the study area.
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    Spatial Ramifications of Dodder Infestation on Urban Ornamentals in Mombasa, Kenya
    (Scientific Research Publishing, 2020-08) Ngare, Innocent Osoro; Koske, James Kibii; Muriuki, John Njagi; Gathuku, George Njagi; Adiel, Ruth Kangai
    Dodders are cosmopolitan generalist holoparasites that forage on a commu nity of plant species ranging from shrubs, trees and herbaceous. In this study, we employ mixed method research design that involved use of questionnaires and dodder host sampling matrix. Host identification and naming was car ried out by ecological Android PlantNet Plant App version 3.0.5. Respon dents sample size was determined by Krejcie and Morgan sampling formula. Results show that dodder was fast spreading through spatial retrospective sat ellite Landsat imagery analysis. Dodder was known by the majority of re spondents (97.1%) where the exploratory analysis score shows that respon dents’ constituency of residence influenced their understanding of dodder (F(5, 361) = 5.329, P = 0.000). The mode of parasitism between dodder & the hosts varied as some ornamental trees, shrubs and herbaceous plants were either affected moderately or extremely. The study recommends use of bio technological dodder control approaches through transgenic plants biotech nology and plant breeding to develop resistance towards dodder plant para sites.
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    Urban climate variability trend in the coastal region of Mombasa Kenya
    (Academic Journals, 2020) Ngare, Innocent Osoro; Koske, James Kibii; Muriuki, John Njagi; Chitechi, Evelyn Wemali; Gathuku, George Njagi
    The world population in global south countries is increasing. This fast growth has heightened urban ecological footprint that contributes to anthropogenic forcing triggering of the climate system. From this study, climate variability trend dynamics in Mombasa County, a coastal urban area in Kenya was examined. A retrospective study was done (1989-2019) to determine the changes in temperature and rainfall in the area of study. The results show that climate variability was experienced in Mombasa with a maximum temperature t=-5.628, df=23, P:0.000 and a minimum of t= -5.401, df=23, P:0.000, total rainfall t=2.025, df=23, P:0.275. The linear regression analysis shows rainfall variation y = -9.588x + 1217.1 and temperature y =0.0258x + 29.888 with an increase of +0.4°C. The annual maximum temperature averages show heterogeneous distribution from kurtosis coefficient with little observed skewness.