Your search found 6 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

2 Franks, T.; Lankford, B.; Mdemu, M.. 2004. Managing water amongst competing uses: The Usangu Wetland in Tanzania. Irrigation and Drainage, 53(3):277-286.
Wetlands ; Water management ; Irrigation management ; Water use ; Catchment areas ; Institutions / Tanzania / Usangu Wetland
(Location: IWMI-HQ Call no: PER Record No: H035698)

3 Magayane, M.; Mdemu, M.. 2005. Water re-use river basins: a solution to increase water efficiency and productivity?: the Usangu case study, 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. 14p.
River basins ; Water reuse ; Irrigation efficiency ; Productivity / Tanzania / Usangu
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037542)
https://publications.iwmi.org/pdf/H037542.pdf

4 Magayane, M.; Mdemu, M.. 2005. Water re-use in river basins: a solution to increase water efficiency and productivity?: the Usangu case study, 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 one: water productivity – methodologies and management. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.40-50.
River basins ; Water reuse ; Irrigation efficiency / Tanzania / Usangu Basin
(Location: IWMI HQ Call no: CD Col Record No: H041148)
http://www.iwmi.cgiar.org/Research_Impacts/Research_Themes/BasinWaterManagement/RIPARWIN/PDFs/35%20Magayane%20SS%20FINAL%20EDIT.pdf

5 Bjornlund, H.; Zuo, A.; Wheeler, S. A.; Parry, K.; Pittock, J.; Mdemu, M.; Moyo, M. 2019. The dynamics of the relationship between household decision-making and farm household income in small-scale irrigation schemes in southern Africa. Agricultural Water Management, 213:135-145. [doi: https://doi.org/10.1016/j.agwat.2018.10.002]
Irrigation schemes ; Small scale systems ; Farmers ; Household income ; Decision making ; Living standards ; Strategies ; Gender ; Labour ; Models ; Socioeconomic environment / Southern Africa / Mozambique / Zimbabwe / United Republic of Tanzania / Kiwere Irrigation Scheme / Magozi Irrigation Scheme / Mkoba Irrigation Scheme / Silalatshani Irrigation Scheme / 25 de Setembro Irrigation Scheme / Khanimambo Irrigation Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H049140)
https://www.sciencedirect.com/science/article/pii/S0378377418305481/pdfft?md5=623f0afb5a14e8ed0d133bcf1b30ae6b&pid=1-s2.0-S0378377418305481-main.pdf
https://vlibrary.iwmi.org/pdf/H049140.pdf
(0.59 MB) (612 KB)
Irrigation has been promoted as a strategy to reduce poverty and improve livelihoods in southern Africa. Households’ livelihood strategies within small-scale irrigation schemes have become increasingly complex and diversified. Strategies consist of farm income from rain-fed and irrigated cropping as well as livestock and an increasing dependence on off-farm income. The success of these strategies depends on the household’s ability to make decisions about how to utilize its’ financial, labour, land and water resources. This study explores the dynamics of decision-making in households on-farm household income within six small-scale irrigation schemes, across three southern African countries. Household survey data (n = 402) was analyzed using ordered probit and ordinary least squares regression. Focus group discussions and field observations provided qualitative data on decision-making in the six schemes. We found strong support for the notion that decision-making dynamics strongly influence total household income. Households make trade-offs between irrigation, dryland, livestock and off-farm work when they allocate their labour resources to maximize household income; as opposed to maximizing the income from any individual component of their livelihood strategy, such as irrigation. Combined with the impact of the small plot size of irrigated land, this is likely to result in sub-optimal benefits from expensive investments in irrigation infrastructure. Policy-makers must consider this when developing and implementing new policies.

6 Bjornlund, H.; van Rooyen, A.; Pittock, J.; Parry, K.; Moyo, M.; Mdemu, M.; de Sousa, W. 2020. Institutional innovation and smart water management technologies in small-scale irrigation schemes in southern Africa. Water International, 31p. (Online first) [doi: https://doi.org/10.1080/02508060.2020.1804715]
Water management ; Technology ; Agriculture ; Innovation platforms ; Institutions ; Small scale systems ; Irrigation schemes ; Communal irrigation systems ; Soil moisture ; Monitoring ; Stakeholders ; Infrastructure ; Decision making ; Models / Southern Africa / Zimbabwe / Mozambique / United Republic of Tanzania
(Location: IWMI HQ Call no: e-copy only Record No: H049982)
https://vlibrary.iwmi.org/pdf/H049982.pdf
(8.58 MB)
This paper reports on the introduction of SWM technology, soil moisture and nutrient monitoring tools, alongside Agricultural Innovation Platforms (AIP) in three small-scale irrigation schemes in southern Africa. Quantitative and qualitative data are presented on the changes and benefits that have resulted, including increased yield and profitability. The findings emphasize that information prior and subsequent to adoption is needed, and the importance of understanding and enhancing the incentive framework for behavioural change, including both economic and physical returns. The findings illustrate SWM technology is strengthened when introduced with credible multi-stakeholder processes, such as an AIP, that facilitate institutional innovation.

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