Your search found 11 records
1 Machibya, M.; Mdemu, M.; Tumbo, S. D.; Lankford, B. A.; Kajoka, M. D.; Mwandepa, E. 2003. Relationships between rice irrigation, mosquito breeding, malaria, water losses and reduced rice yields: research from the Usangu Plains, Tanzania. Paper presentet at the 3rd MIM Pan-African Malaria Conference, Arusha, Tanzania, 17-23 November, 2002. 9p.
Crop-based irrigation ; Paddy fields ; Rice ; Productivity ; Disease vectors ; Malaria ; Waterborne diseases / Tanzania / Usangu Plains
(Location: IWMI-HQ Call no: P 6767 Record No: H034177)
http://www.research4development.info/PDF/Outputs/Water/R8064-MIM03-Machibya_et_al.pdf
https://vlibrary.iwmi.org/pdf/H_34177.pdf
https://vlibrary.iwmi.org/pdf/H_34177.pdf
2 Mzirai, O. B.; Tumbo, S. D.; Bwana, T.; Hatibu, N.; Rwehumbiza, F. B.; Gowing, J. W. 2005. Evaluation of simulator of missing weather data (SMWD) required in simulation of agro hydrological modeling n the catchment and basin level: case of the PARCHED- THIRST and Marksim Model. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.1]. Funded by IWMI, and others. 11p.
River basins ; Water resource management ; Simulation models ; Climate ; Rainfall-runoff relationships ; Hydrology
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037521)
3 Masuki, K. F. G.; Mutabazi, K. D.; Tumbo, S. D.; Rwehumbiza, F. B.; Mattee, A. Z.; Hatibu, N. 2005. Determinants of farm-level adoption of water systems innovations in dryland areas: the case of Makanya Watershed in Pangani River Basin, Tanzania. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.2]. Funded by IWMI, and others. 10p.
River basins ; Catchment areas ; Water harvesting ; Models ; Farmers ; Households ; Women / Tanzania / Pangani River Basin / Makanya Watershed
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037532)
4 Tumbo, S. D.; Mpulils, T.; Mzirai, O. B.; Mahoo, H. F. 2005. Maize yield simulation under rain-fed and rainwater harvesting systems using Parched-Thirst model. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.2]. Funded by IWMI, and others. 8p.
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037541)
5 Bhatt, Yogesh; Bossio, Deborah; Enfors, E.; Gordon, L.; Kongo, V.; Kosgei, J. R.; Makurira, H.; Masuki, K.; Mul, M.; Tumbo, S. D.. 2006. Smallholder system innovations in integrated watershed management (SSI): strategies of water for food and environmental security in drought-prone tropical and subtropical agro-ecosystems. Colombo, Sri Lanka: International Water Management Institute (IWMI). 59p. (IWMI Working Paper 109; SSI Working Paper 1) [doi: https://doi.org/10.3910/2009.294]
Watershed management ; Water resources ; Agroecosystems ; Social aspects ; Environmental effects ; Catchment areas ; River basins ; Hydrology ; Models ; Water productivity ; Water balance ; Water harvesting ; Crop production ; Food production ; Farming systems ; Smallholders ; Research projects / Africa South of Sahara / South Africa / Tanzania / Thukela River Basin / Pangani River Basin
(Location: IWMI-HQ Call no: IWMI 631.7 G100 BHA Record No: H039095)
(684KB)
6 Kashaigili, J. J.; McCartney, Matthew; Mahoo, H. F.; Lankford, B. A.; Mbilinyi, B. P.; Yawson, D. K.; Tumbo, S. D.. 2006. Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania. Colombo, Sri Lanka: International Water Management Institute (IWMI). 39p. (IWMI Research Report 104) [doi: https://doi.org/10.3910/2009.104]
Wetlands ; Rivers ; Ecology ; Environmental effects ; Remote sensing ; Hydrology ; Simulation models ; Water budget ; Irrigated sites ; Land cover ; Time series analysis / Tanzania / Usangu Wetlands / Great Ruaha River
(Location: IWMI-HQ Call no: IWMI 333.91 G148 KAS Record No: H039649)
(852KB)
This report presents the findings of a study to assess changes to flows into, and downstream of, the Usangu Wetlands, located in the headwaters of the Great Ruaha River, Tanzania. Hydrological data, in conjunction with remote sensing techniques, were used to provide insights into changes that have occurred to the Eastern Wetland. Results indicate that, between 1958 and 2004, inflows to the wetland declined by about 70 percent in the dry season months (July to November) as a consequence of increased human withdrawals, primarily for irrigation.
7 Masuki, K. F. G.; Mutabazi, K. D.; Tumbo, S. D.; Rwehumbiza, F. B.; Mattee, A. Z.; Hatibu, N. 2005. Determinants of farm-level adoption of water systems innovations in dryland areas: the case of Makanya Watershed in Pangani River Basin, Tanzania. In Lankford, B. A.; Mahoo, H. F. (Eds.). Proceedings of East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7 – 9 March 2005. Theme six: modelling and decision aid tools: water economics and livelihoods. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.330-337.
River basins ; Catchment areas ; Water harvesting ; Models ; Farmers ; Households ; Women / Tanzania / Pangani River Basin / Makanya Watershed
(Location: IWMI HQ Call no: CD Col Record No: H041171)
8 Mzirai, O. B.; Tumbo, S. D.; Bwana, T.; Hatibu, N.; Rwehumbiza, F. B.; Gowing, J. W. 2005. Evaluation of simulators of synthetic missing climate data required for agrohydrological modelling and water management planning: the case of the PARCHED-THIRST and Marksim models. In Lankford, B. A.; Mahoo, H. F. (Eds.). Proceedings of East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7 – 9 March 2005. Theme six: modelling and decision aid tools: water economics and livelihoods. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.338-347.
Water management ; Planning ; Climate ; Rain ; Hydrology ; Simulation models ; Irrigation water / Tanzania / Same / Mwanga / Morogoro
(Location: IWMI HQ Call no: CD Col Record No: H041172)
9 Pachpute, J. S.; Tumbo, S. D.; Sally, Hilmy; Mul, M. L. 2009. Sustainability of rainwater harvesting systems in rural catchment of Sub-Saharan Africa. Water Resources Management, 23(13):2815-2839. [doi: https://doi.org/10.1007/s11269-009-9411-8]
Catchment areas ; Water harvesting ; Sustainability ; Water potential ; Water use efficiency ; Agroecology / Africa / Africa South of Sahara / Tanzania / Makanya catchment
(Location: IWMI HQ Call no: e-copy only Record No: H042565)
(0.66 MB)
Sustainability of rainwater harvesting in enhancing water productivity in various biophysical and socioeconomic conditions of SSA is a key in large scale livelihood improvement. A study was undertaken in Makanya catchment of rural Tanzania to assess sustainability of storage type of rainwater harvesting systems including microdam, dug out pond, sub-surface runoff harvesting tank and rooftop rainwater harvesting system. The increasing population in upstream areas of the catchment has forced use of RWH systems for streams and river water abstraction. The agricultural intensification in hillslopes has affected the water availability for downstream uses. Rainfall variability, runoff quality and quantity, local skills and investment capacity, labour availability and institutional support influence sustainability of rainwater harvesting systems.
10 Ouedraogo, I.; Barron, Jennie; Tumbo, S. D.; Kahimba, F. C. 2016. Land cover transition in northern Tanzania. Land Degradation and Development, 27(3):682-692. [doi: https://doi.org/10.1002/ldr.2461]
Land cover change ; Land use ; Land degradation ; Landscape ; Scrublands ; Ecosystems ; Agroecology ; River basins ; Water harvesting ; Vegetation ; Catchment areas ; Livestock farms / Tanzania / Makanya Catchment / Pangani River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047226)
(11.96 MB)
Land conversion in Sub-Saharan Africa has profound biophysical, ecological, political and social consequences for human wellbeing and ecosystems services. Understanding the process of land cover changes and transitions is essential for good ecosystem management policy that would lead to improved agricultural production, human wellbeing and ecosystems health. This study aimed to assess land cover transitions in a typical semi-arid degraded agro-ecosystems environment within the Pangani River Basin in northern Tanzania. Three Landsat images spanning over 30 years were used to detect random and systematic patterns of land cover transition in a landscape dominated by crop and livestock farming. Results revealed that current land cover transition is driven by a systematic process of change dominated by (i) transition from degraded land to sparse bushland (10.8%), (ii) conversion from sparse bushland to dense bushland in lowland areas (6.0%), (iii) conversion from bushland to forest (4.8%), and (iv) conversion from dense bushland to cropland in the highlands (4.5%). Agricultural lands under water harvesting technology adoption show a high degree of persistence (60-80%) between time slices. This suggests that there is a trend in land-use change towards vegetation improvement in the catchment with a continuous increase in the adoption of water harvesting technologies for crop and livestock farming. This can be interpreted as a sign of agricultural intensification and vegetation re-growth in the catchment.
11 Mwinuka, P. R.; Mourice, S. K.; Mbungu, W. B.; Mbilinyi, B. P.; Tumbo, S. D.; Schmitter, Petra. 2022. UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: a case of African eggplant. Agricultural Water Management, 266:107516. [doi: https://doi.org/10.1016/j.agwat.2022.107516]
Crop production ; Water use efficiency ; Nitrogen ; Unmanned aerial vehicles ; Irrigated farming ; Vegetation index ; Water stress ; Subhumid climate ; Horticulture ; Eggplants ; Crop yield ; Irrigation water ; Water requirements / Africa / United Republic of Tanzania / Kilosa
(Location: IWMI HQ Call no: e-copy only Record No: H051019)
https://www.sciencedirect.com/science/article/pii/S0378377422000634/pdfft?md5=204296c2ca8c64d46a7e0fd0fa774e05&pid=1-s2.0-S0378377422000634-main.pdf
https://vlibrary.iwmi.org/pdf/H051019.pdf
https://vlibrary.iwmi.org/pdf/H051019.pdf
(5.25 MB) (5.25 MB)
UAV-based multispectral vegetation indices are often used to assess crop performance and water consumptive use. However, their ability to assess the interaction between water, especially deficit irrigation, and nitrogen application rates in irrigated agriculture has been less explored. Understanding the effect of water-nitrogen interactions on vegetation indices could further support optimal water and N management. Therefore, this study used a split plot design with water being the main factor and N being the sub-factor. African eggplants were drip irrigated at 100% (I100), 80% (I80) or 60% (I60) of the crop water requirements and received 100% (F100), 75% (F75), 50% (F50) or 0% (F0) of the crop N requirements. Results showed that the transformed difference vegetation index (TDVI) was best in distinguishing differences in leaf moisture content (LMC) during the vegetative stage irrespective of the N treatment. The green normalized difference vegetation index (GNDVI) worked well to distinguish leaf N during vegetative and full vegetative stages. However, the detection of the interactive effect of water and N on crop performance required a combination of GNDVI, NDVI and OSAVI across both stages as each of these 3 VI showed an ability to detect some but not all treatments. The fact that a certain amount of irrigation water can optimize the efficiency of N uptake by the plant is an important criterion to consider in developing crop specific VI based decision trees for crop performance assessments and yield prediction.
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