Assessing Farmers’ Perception of Enclosures, Kewot District, Northeastern Ethiopia
Mengistu Asmamaw Mengesha,
Mekuria Argaw Denoboba
Issue:
Volume 3, Issue 6, November 2015
Pages:
181-187
Received:
6 October 2015
Accepted:
16 October 2015
Published:
13 November 2015
Abstract: The environmental and socioeconomic effects of land resources degradation are severe, especially in developing nations, where inappropriate land use and farming systems are practiced. Consequently, management options like enclosures are among rehabilitation strategies practiced in the degraded areas of Ethiopia. This study was conducted to assess the farmers’ perception of enclosures in Kewot District, North Shoa, Ethiopia. Observation and questionnaire were used to collect data in the study sites. A total of 168 households were selected from two peasant associations using systematic sampling technique. Data were presented in descriptive statistics. The results indicated that the local farmers had perceived the existence of land degradation and its possible causes. Local farmers perceived enclosures positively and are optimistic to the performance of enclosures. However, the benefit sharing has satisfied the community moderately. As a result, participatory resource management strategy is recommended to ensure the sustainability of the enclosures.
Abstract: The environmental and socioeconomic effects of land resources degradation are severe, especially in developing nations, where inappropriate land use and farming systems are practiced. Consequently, management options like enclosures are among rehabilitation strategies practiced in the degraded areas of Ethiopia. This study was conducted to assess t...
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Eliciting Smallholder Farmers’ Tradeoffs and Preferences on the Attributes of Climate Smart Agriculture in the Breadbasket Areas of Tanzania Using a Conjoint Experiment Method
Kassim R. Mussa,
Josephat A. Saria,
Lughano J. M. Kusiluka,
Noorali T. Jiwaji,
Brown Gwambene,
Noah M. Pauline,
Nangware K. Msofe,
Juma A. Tegeje,
Innocent Messo,
Sixbert S. Mwanga
Issue:
Volume 3, Issue 6, November 2015
Pages:
188-193
Received:
11 October 2015
Accepted:
26 October 2015
Published:
17 November 2015
Abstract: While policy and decision-makers are striving to enhance food security amidst maddening impacts of climate change, climate smart agriculture is thought of as a promising breakthrough for responding to climate change impacts in Tanzania and elsewhere in the world as it strives to increase food productivity; build resilience of agricultural systems to climate change impacts and reduce agricultural greenhouse gas emission. Studies show that agricultural sector is both, a cause and a victim of climate change. It significantly contributes greenhouse gases to the atmosphere. However, achieving climate change mitigation through agriculture without compromising food security is a huge policy and research challenge, some scientists say, it is practically impossible. This study sought to determine tradeoffs and preferences of smallholder farmers on the attributes climate smart agricultural practices, specifically modeling choices of smallholder farmers using choice experiment method. Upon estimating three different models, positive utilities were observed in high productivity, Moderate and low GHG emission as well as on moderate and high resilient farming systems. Smallholder farmers showed a complete disutility on low and moderate agricultural productivity, high GHG emission and low resilient farming systems. The models therefore justified the fact that, attaining more yield without a compromise in greenhouse gas emission reduction targets is a blue-sky dream. In order to concisely inform policy, more research on farmers’ preference and tradeoff on the attributes is needed to establish a scientific and logical progression about the tradeoffs people are willing to make with regard to the attributes of climate smart agriculture practices.
Abstract: While policy and decision-makers are striving to enhance food security amidst maddening impacts of climate change, climate smart agriculture is thought of as a promising breakthrough for responding to climate change impacts in Tanzania and elsewhere in the world as it strives to increase food productivity; build resilience of agricultural systems t...
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Optimisation of Diesel Polluted Soil Using Response Surface Methodology
Olawale O.,
Oyawale F. A.,
Adepoju T. F.,
Aikulolu S.,
Akinmoladun A. I.
Issue:
Volume 3, Issue 6, November 2015
Pages:
194-202
Received:
25 November 2015
Accepted:
3 December 2015
Published:
21 December 2015
Abstract: This research is based on the investigation of the bioremediation of diesel polluted soil using biostimulation strategy. The study was carried out on a diesel contaminated soil and concentrations: Tween 80 (5-15ml), Poultry droppings (20-60g), Hydrogen Peroxide (0.5-1.5ml) were added and incubated for 28 days of remediation period. Response Surface Methodology with Box-Behnken Design (BBD) was used with three factors and three levels of Tween 80, Poultry droppings and Hydrogen Peroxide as independent variables while diesel oil (Total Petroleum Hydrocarbon) removal was the dependent variable (response). The result showed disparities in the diesel oil biodegradation pattern with respect to Tween 80, Poultry droppings and Hydrogen Peroxide. The statistical analysis, via ANOVA showed coefficient of determination R2 to be 99.89% and P < 0.05. The predicted optimum parameter of Tween 80: 10.10ml, Poultry droppings: 41.46g and Hydrogen Peroxide: 1.10ml were gotten while 56.565% was gotten as the optimal diesel oil removal. At this optimum condition, the observed diesel oil removal was found to be 56.568%. It can be concluded that bioremediation of diesel-contaminated soil resulted in petroleum hydrocarbon degradation.
Abstract: This research is based on the investigation of the bioremediation of diesel polluted soil using biostimulation strategy. The study was carried out on a diesel contaminated soil and concentrations: Tween 80 (5-15ml), Poultry droppings (20-60g), Hydrogen Peroxide (0.5-1.5ml) were added and incubated for 28 days of remediation period. Response Surface...
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