Your search found 5 records
1 Vimaladharma, K. P. 1993. Agriswiss experience in participatory management of irrigation projects in Sri Lanka. Paper presented at Seminar on Agriswiss M & E Project Experiences, ARTI, Colombo, Sri Lanka, 31 January 1994. 33p.
Irrigation programs ; Irrigation management ; Participatory management ; Rehabilitation ; Monitoring ; Evaluation ; Farmer participation ; Farmers' associations ; Irrigation canals ; Open channels ; Maintenance ; Planning ; Water measurement ; Farm surveys / Sri Lanka / Anuradhapura District / Rajangana / Nachchaduwa / Huruluwewa
(Location: IWMI-SA Call no: P 4799 Record No: H022157)
2 Samad, M.; Vermillion, D. 1999. Assessment of participatory management of irrigation schemes in Sri Lanka: partial reforms, partial benefits. Colombo, Sri Lanka: International Water Management Institute (IWMI). v, 31p. (IWMI Research Report 034) [doi: https://doi.org/10.3910/2009.039]
Privatization ; Policy ; Performance evaluation ; Indicators ; Operating costs ; Irrigation management ; Economic aspects ; Returns ; Participatory management ; Farmer participation ; Government managed irrigation systems ; Small scale systems ; Large-scale systems ; Regression analysis ; Models / Sri Lanka / Nachchaduwa / Hakwatuna Oya
(Location: IWMI-HQ Call no: IIMI 631.7.3 G744 SAM Record No: H025058)
(1.72MB)
Describes the application of a standard methodology developed by IWMI to assess the impact of irrigation management transfer on the performance of irrigation schemes. Includes detailed analysis of the effects of participatory management on the performance of irrigation schemes in Sri Lanka.
3 Itakura, J. 1995. Water balance model for planning rehabilitation of a tank cascade irrigation system in Sri Lanka. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI). 62p. (IIMI Working Paper 037) [doi: https://doi.org/10.5337/2013.036]
Irrigation management ; Irrigation systems ; Water balance ; Simulation models ; Rehabilitation ; Agricultural production ; Watershed management ; Reservoirs ; Tank irrigation / Sri Lanka / Thirappane / Nachchaduwa
(Location: IWMI HQ Call no: IIMI 631.7.7 G744 ITA Record No: H018427)
Since time immemorial, people in South Asia have collected rainfall runoff in small storage reservoirs (called tanks) for later use in agricultural production, for domestic use and watering of livestock. A unique feature of the tanks in Sri Lanka is that often several of the tanks are linked together through a canal. The resulting cascade of tanks should then be managed as one system. The Thirappane cascade, which is the topic of this study, falls within the catchment area of a much bigger reservoir, Nachchaduwa. The latter was built around 900 AD, and restored in 1906, when many of the tanks still in use now were surveyed and restored to use. Cascade management, however, was not always carried out properly and restoration work not done, that the skills to do so were lost. The management of these interconnected tanks presents many interesting questions, the answers to which hitherto have not been fully explored. The effectiveness of storage-based irrigation systems was such that over time more and more people were attracted to the command areas of the tanks and many of the systems became unsustainable due to overcrowding. The objective of this study was a limited one, i.e., to explore through simple water balance modelling several improved management options for a particular set of tanks in the Thirappane Cascade and to examine how the tank cascade can be stabilized through structural modifications. The water balance model developed for this purpose has deliberately been kept simple, requiring only data that can be easily collected in the field.
4 Somasiri, S. 1995. Macro-catchment modeling and management studies. Final report. Colombo, Sri Lanka: Sri Lanka. Irrigation Department. Irrigation Research Management Unit (IRMU); International Irrigation Management Institute (IIMI). Sri Lanka National Program (SLNP). x, 53p.
Water management ; Catchment areas ; Catchment yield ; Water balance ; Runoff ; Simulation models ; Tank irrigation ; Rain ; Land use ; Evapotranspiration ; Legislation ; Irrigation programs / Sri Lanka / Nachchaduwa / Huruluwewa
(Location: IWMI HQ Call no: IIMI 631.7.1 G744 SOM Record No: H019760)
5 Ranasinghe, R. D. A. K.; Korale-Gedara, P. M.; Weerasooriya, S. A. 2023. Climate change adaptation and adaptive capacities of dairy farmers: evidence from village tank cascade systems in Sri Lanka. Agricultural Systems, 206:103609. [doi: https://doi.org/10.1016/j.agsy.2023.103609]
Climate change adaptation ; Dairy farming ; Farming systems ; Farmers ; Villages ; Tanks ; Natural resources ; Socioeconomic aspects ; Livelihoods ; Livestock ; Watersheds ; Indicators ; Gender ; Females ; Households ; Vulnerability / Sri Lanka / North Central Province / Anuradhapura / Nachchaduwa / Malwathu Oya River Basin / Siwalakulama / Thirappane
(Location: IWMI HQ Call no: e-copy only Record No: H051716)
(2.05 MB)
CONTEXT: Dairy farmers are affected by climate change (CC). To reduce the negative effects of CC, farmers need to take numerous adaptive measures. The ability to adapt is context-specific and there is a dearth of research on the adaptation and adaptive capacity (AC) of dairy farmers in village tank cascade systems (VTCS).
OBJECTIVE: The study investigates dairy farmers' perception of CC, their AC, adaptation, and the social and institutional drivers of AC and adaptation in the two selected VTCS in Sri Lanka. The knowledge of this is vital in planning specific interventions to enhance the climate resilience of farmers.
METHODS: The level of CC adaptation and AC was measured using the Activity-based Adaptation Index and Adaptive Capacity Index. Using an ordered logistic regression model, the determinants of the CC adaptation were examined. Social dimensions of AC are studied by comparing AC scores across social groups differentiated by income and gender. Data were collected from 200 dairy farmers in two VTCS in the Anuradhapura District, North Central Province of Sri Lanka, where dairy farming is predominantly practiced. Pre-tested structured questionnaires were used for data collection.
RESULTS AND CONCLUSION: Pasture shortage, reduction in milk yield, and growth retardation of animals are reported as perceived CC effects by a majority of dairy farmers. The adaptation strategies mostly implemented by dairy farmers are aimed at reducing the effects of CC on animal physiology. A lesser number of farmers implement adaptation strategies that address pasture shortages. Farmer's perception of CC, socioeconomic characteristics and resource endowment determine the level of adaptation, while the AC moderates the relationship between perception and response to CC. The institutional and social context in which dairy farmers operate differentiates the AC of farmers. Women and poorer farmers tend to have a lower AC. The difference in AC across these social groups is explained by access to resources. The study recommends interventions to address social gaps in AC and highlights the importance of strengthening and expanding extension services and rural credit facilities.
SIGNIFICANCE: Globally, fewer studies have been conducted on the impacts of climate-related risks on dairy farming systems and adaptation in comparison with such risks and adaptation in crop farming. This study provides insights into resource-poor dairy farmers' responses to CC and potential solutions in using common resources in VTCS to reduce vulnerability to CC.
OBJECTIVE: The study investigates dairy farmers' perception of CC, their AC, adaptation, and the social and institutional drivers of AC and adaptation in the two selected VTCS in Sri Lanka. The knowledge of this is vital in planning specific interventions to enhance the climate resilience of farmers.
METHODS: The level of CC adaptation and AC was measured using the Activity-based Adaptation Index and Adaptive Capacity Index. Using an ordered logistic regression model, the determinants of the CC adaptation were examined. Social dimensions of AC are studied by comparing AC scores across social groups differentiated by income and gender. Data were collected from 200 dairy farmers in two VTCS in the Anuradhapura District, North Central Province of Sri Lanka, where dairy farming is predominantly practiced. Pre-tested structured questionnaires were used for data collection.
RESULTS AND CONCLUSION: Pasture shortage, reduction in milk yield, and growth retardation of animals are reported as perceived CC effects by a majority of dairy farmers. The adaptation strategies mostly implemented by dairy farmers are aimed at reducing the effects of CC on animal physiology. A lesser number of farmers implement adaptation strategies that address pasture shortages. Farmer's perception of CC, socioeconomic characteristics and resource endowment determine the level of adaptation, while the AC moderates the relationship between perception and response to CC. The institutional and social context in which dairy farmers operate differentiates the AC of farmers. Women and poorer farmers tend to have a lower AC. The difference in AC across these social groups is explained by access to resources. The study recommends interventions to address social gaps in AC and highlights the importance of strengthening and expanding extension services and rural credit facilities.
SIGNIFICANCE: Globally, fewer studies have been conducted on the impacts of climate-related risks on dairy farming systems and adaptation in comparison with such risks and adaptation in crop farming. This study provides insights into resource-poor dairy farmers' responses to CC and potential solutions in using common resources in VTCS to reduce vulnerability to CC.
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