Your search found 2 records
1 Jumbe, C. B. L.; Nkhata, R. 2015. Does participation in communal water management improve household income? evidence from Malawi. Water Resources and Rural Development, 5:31-46. [doi: https://doi.org/10.1016/j.wrr.2015.06.002]
Water management ; Irrigation management ; Community management ; Irrigation schemes ; Farmer participation ; Household income ; Farm income ; Crop yield ; Rice ; Maize ; Poverty ; Models ; Statistical methods ; Case studies / Malawi / Bwanje Valley Irrigation Scheme
(Location: IWMI HQ Call no: e-copy only Record No: H047971)
(0.39 MB)
This paper presents empirical evidence of whether participation in community water resource management improves household agricultural income using a case study of irrigation co-management under the Bwanje Valley Irrigation Scheme in Malawi. An endogenous switching regression was applied on a dataset of 412 farmers to correct the outcome (net agricultural income) for sample selection bias. Propensity score matching was then used to measure the impact of participation in irrigation co-management on net annual agricultural income. Despite variations in the magnitude of benefits among different groups, empirical evidence suggests that net annual agricultural income of the poor, youths and female-headed farmers participating in the scheme would have worsened had they not participated in the scheme.
2 Frake, A. N.; Namaona, W.; Walker, E. D.; Messina, J. P. 2020. Estimating spatio-temporal distributions of mosquito breeding pools in irrigated agricultural schemes: a case study at the Bwanje Valley Irrigation Scheme. Malaria Journal, 19:38. [doi: https://doi.org/10.1186/s12936-020-3113-3]
Mosquitoes ; Breeding seasons ; Estimation ; Malaria ; Anthropogenic factors ; Wet season ; Dry season ; Irrigated farming ; Irrigation canals ; Irrigation schemes ; Health hazards ; Case studies ; Models / Malawi / Bwanje Valley Irrigation Scheme / Bwanje Dam
(Location: IWMI HQ Call no: e-copy only Record No: H049855)
https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-020-3113-3
https://vlibrary.iwmi.org/pdf/H049855.pdf
https://vlibrary.iwmi.org/pdf/H049855.pdf
(6.05 MB) (6.05 MB)
Background
The association between irrigation and the proliferation of adult mosquitoes including malaria vectors is well known; however, irrigation schemes are treated as homogenous spatio-temporal units, with little consideration for how larval breeding varies across space and time. The objective of this study was to estimate the spatio-temporal distribution of pools of water facilitating breeding at the Bwanje Valley Irrigation Scheme (BVIS) in Malawi, Africa as a function of environmental and anthropogenic characteristics.
Methods
Irrigation structure and land cover were quantified during the dry and rainy seasons of 2016 and 2017, respectively. These data were combined with soil type, irrigation scheduling, drainage, and maintenance to model suitability for mosquito breeding across the landscape under three scenarios: rainy season, dry season with limited water resources, and a dry season with abundant water resources.
Results
Results demonstrate seasonal, asymmetrical breeding potential and areas of maximum breeding potential as a function of environmental characteristics and anthropogenic influence in each scenario. The highest percentage of suitable area for breeding occurs during the rainy season; however, findings show that it is not merely the amount of water in an irrigated landscape, but the management of water resources that determines the aggregation of water bodies. In each scenario, timing and direction of irrigation along with inefficient drainage render the westernmost portion of BVIS the area of highest breeding opportunity, which expands and contracts seasonally in response to water resource availability and management decisions.
Conclusions
Changes in the geography of breeding potential across irrigated spaces can have profound effects on the distribution of malaria risk for those living in close proximity to irrigated agricultural schemes. The methods presented are generalizable across geographies for estimating spatio-temporal distributions of breeding risk for mosquitoes in irrigated schemes, presenting an opportunity for greater geographically targeted strategies for management.
The association between irrigation and the proliferation of adult mosquitoes including malaria vectors is well known; however, irrigation schemes are treated as homogenous spatio-temporal units, with little consideration for how larval breeding varies across space and time. The objective of this study was to estimate the spatio-temporal distribution of pools of water facilitating breeding at the Bwanje Valley Irrigation Scheme (BVIS) in Malawi, Africa as a function of environmental and anthropogenic characteristics.
Methods
Irrigation structure and land cover were quantified during the dry and rainy seasons of 2016 and 2017, respectively. These data were combined with soil type, irrigation scheduling, drainage, and maintenance to model suitability for mosquito breeding across the landscape under three scenarios: rainy season, dry season with limited water resources, and a dry season with abundant water resources.
Results
Results demonstrate seasonal, asymmetrical breeding potential and areas of maximum breeding potential as a function of environmental characteristics and anthropogenic influence in each scenario. The highest percentage of suitable area for breeding occurs during the rainy season; however, findings show that it is not merely the amount of water in an irrigated landscape, but the management of water resources that determines the aggregation of water bodies. In each scenario, timing and direction of irrigation along with inefficient drainage render the westernmost portion of BVIS the area of highest breeding opportunity, which expands and contracts seasonally in response to water resource availability and management decisions.
Conclusions
Changes in the geography of breeding potential across irrigated spaces can have profound effects on the distribution of malaria risk for those living in close proximity to irrigated agricultural schemes. The methods presented are generalizable across geographies for estimating spatio-temporal distributions of breeding risk for mosquitoes in irrigated schemes, presenting an opportunity for greater geographically targeted strategies for management.
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