Browsing by Author "Kahimba, Frederick C."

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Agronomic management strategies for adaptation to the current climate variability: the case of North-Eastern Tanzania
(2014) Tumbo, Siza D.; Rwehumbiza, Filbert B.; Kahimba, Frederick C.; Enfors, Elin; Mahoo, Henry F.; Mbilinyi, Boniface P.; Mkoga, Zacharia; Churi, Ayubu
Rainfed agriculture in semi-arid areas of sub-Saharan Africa faces a great challenge due to increasingly high variability and unreliability of rainfall. Two of the effective adaptive responses to reduce the vulnerability to the changing climate are through use of soil and water conservation technologies and employment of improved agronomic practices. A study was conducted to quantify the risk and profitability of agronomic management strategies for maize using long-term climatic data and a crop simulation model. APSIM model was used to perform long-term simulations of different management strategies. Simulated maize grain yield for different cultivars and sets of management strategies were evaluated to establish the associated risks and benefits. Results indicate that planting Situka or SC401 during Masika season instead of Kito or other cultivars, gives a yield of more than 1 ton/ha under conventional methods. Maize yield increases to 2t/ha or even higher with the use of fertilizers and recommended management practices. The cost benefit analysis indicated that income greater than USD 700 per ha could be obtained when recommended practices are applied, with Situka and SC401 as the maize varieties planted. Based on the results of the study, it is recommended that farmers should employ improved agronomic management practices only when the seasonal forecast indicates above normal rainfall. The early availability of seasonal rainfall forecast is thus vital. Alternatively, farmers are much safer if they continue to employ their conventional approaches of farming because these have lower risks.
Comparison of silicon status in rice grown under the system of rice intensification and flooding regime in Mkindo Irrigation Scheme, Morogoro, Tanzania
(TAJAS) Gowele, G. E.; Mahoo, H. F.; Kahimba, Frederick C.
Estimating conveyance efficiency and maize productivity of traditional irrigation systems in USA river catchment, Tanzania
(Hindawi) Haymale, Humuri K.; Njau, Karoli N.; Kahimba, Frederick C.
Evaluation of the performance of CORDEX regional climate models in simulating present climate conditions of Tanzania
(ResearchGate) Luhunga, Philbert; Botai, Joel; Kahimba, Frederick C.
Evaluation of the performance of CORDEX regional climate models in simulating present climate conditions of Tanzania
(ResearchGate, 2016-06) Luhunga, Philbert; Botai, Joel; Kahimba, Frederick C.
Regional climate models (RCMs) are widely used in regional assessment of climate change impacts. However, the reliability of individual models needs to be assessed before using their output for impact assessment. In this study, we evaluate the performance of RCMs from the Coordinated Regional Climate Downscaling Experiment program (CORDEX) to simulate minimum air temperature (TN), maximum air temperature (TX) and rainfall over Tanzania. Output from four RCMs driven by boundary conditions from three General Circulation Models (GCMs) and ERA-Interim data are evaluated against observed data from 22 weather stations. The evaluation is based on determining how well the RCMs reproduce climatological trends, interannual, and annual cycles of TN, TX and rainfall. Statistical measures of model performance that include the bias, root mean square error, correlation and trend analysis are used. It is found that RCMs capture the annual cycle of TN, TX and rainfall well, however underestimate and overestimate the amount of rainfall in March–April–May (MAM) and October–November–December (OND) seasons respectively. Most RCMs reproduce interannual variations of TN, TX and rainfall. The source of uncertainties can be analysed when the same RCM is driven by different GCMs and different RCMs driven by same GCM simulate TN, TX and rainfall differently. It is found that the biases and errors from the RCMs and driving GCMs contribute roughly equally. Overall, the evaluation finds reasonable (although variable) model skill in representing mean climate, interannual variability and temperature trends, suggesting the potential use of CORDEX RCMs in simulating TN, TX and rainfall over Tanzania.
Expert-based ex-ante assessments of potential social, ecological, and economic impacts of upgrading strategies for improving food security in rural Tanzania using the ScalA-FS approach
(Springer) Graef, Frieder; Uckert, Götz; Schindler, Jana; König, Hannes Jochen; Mbwana, Hadijah A.; Fasse, Anja; Mwinuka, Lutengano; Mahoo, Henry; Kaburire, Laurent N.; Saidia, Paul; Yustas, Yusto Mugisha; Silayo, Valerian; Makoko, Bashir; Kissoly, Luitfred; Lambert, Christine; Kimaro, Anthony; Sieber, Stefan; Hoffmann, Harry; Kahimba, Frederick C.; Mutabazi, Khamaldin D.
Integrated assessment of climate change impacts and adaptation in agriculture: The case study of the Wami river sub-basin, Tanzania
(Springer International Publishing) Tumbo, Siza D; Mutabazi, Khamaldin D.; Mourice, Sixbert K.; Msongaleli, Barnabas M.; Wambura, Frank J.; Mzirai, Omari B.; Kadigi, Ibrahim L.; Kahimba, Frederick C.; Mlonganile, Peter; Ngongolo, Hashim K.; Sangalugembe, Chuki; Rao, Karuturi P. C.; Valdivia, Roberto O.