Your search found 4 records
1 Goddard, T.; Zoebisch, M. A.; Gan, Y.; Ellis, W.; Watson, A.; Sombatpanit, S. (Eds.) 2008. No-till farming systems. Special publication no.3. Bangkok, Thailand: World Association of Soil and Water Conservation; Penang, Malaysia: International Water Management Institute (IWMI), South East Asia Office; and others. 544p.
Zero tillage ; Livestock ; Cropping systems ; Soil fertility ; Soil properties ; Soil management ; Conservation tillage ; Irrigated farming ; Case studies ; Rainfed farming ; Infiltration ; Soil water ; Crop production ; Wheat ; Maize ; Cotton ; Carbon sequestration ; Agroecology / USA / Europe / Brazil / Zimbabwe / India / Laos / Madagascar / Australia / New Zealand / Hungary / Romania / Kenya / Cameroon / Mali / Morocco / China / Micronesia
(Location: IWMI HQ Call no: IWMI 631 G000 GOD Record No: H041263)
Thirty-four contributions from renowned experts and practitioners around the world provide a comprehensive review of the rapid growth of no-till, the barriers that have been overcome and the challenges that still lie ahead. Chapters cover current research and new directions as well as policy needs, adoption and extension.
2 Goddard, T.; Zoebisch, M. A.; Gan, Y.; Ellis, W.; Watson, A.; Sombatpanit, S. (Eds.) 2008. No-till farming systems. Special publication no.3. Bangkok, Thailand: World Association of Soil and Water Conservation; Penang, Malaysia: International Water Management Institute (IWMI), South East Asia Office; and others. 544p.
Zero tillage ; Livestock ; Cropping systems ; Soil fertility ; Soil properties ; Soil management ; Conservation tillage ; Irrigated farming ; Case studies ; Rainfed farming ; Infiltration ; Soil water ; Crop production ; Wheat ; Maize ; Cotton ; Carbon sequestration ; Agroecology / USA / Europe / Brazil / Zimbabwe / India / Laos / Madagascar / Australia / New Zealand / Hungary / Romania / Kenya / Cameroon / Mali / Morocco / China / Micronesia
(Location: IWMI HQ Call no: IWMI 631 G000 GOD c2 Record No: H043633)
Thirty-four contributions from renowned experts and practitioners around the world provide a comprehensive review of the rapid growth of no-till, the barriers that have been overcome and the challenges that still lie ahead. Chapters cover current research and new directions as well as policy needs, adoption and extension.
3 Watson, A.; Miller, J.; Fleischer, M.; de Clercq, W. 2018. Estimation of groundwater recharge via percolation outputs from a rainfall/runoff model for the Verlorenvlei estuarine system, west coast, South Africa. Journal of Hydrology, 558:238-254. [doi: https://doi.org/10.1016/j.jhydrol.2018.01.028]
Groundwater recharge ; Rainfall-runoff relationships ; Models ; Percolation ; Coastal area ; Brackishwater environment ; Aquifers ; Groundwater table ; Water levels ; Catchment areas ; Soil types ; Evaporation ; Evapotranspiration ; Sensitivity analysis / South Africa / Verlorenvlei Estuarine Lake
(Location: IWMI HQ Call no: e-copy only Record No: H048590)
(3.76 MB)
Wetlands are conservation priorities worldwide, due to their high biodiversity and productivity, but are under threat from agricultural and climate change stresses. To improve the water management practices and resource allocation in these complex systems, a modelling approach has been developed to estimate potential recharge for data poor catchments using rainfall data and basic assumptions regarding soil and aquifer properties. The Verlorenvlei estuarine lake (RAMSAR #525) on the west coast of South Africa is a data poor catchment where rainfall records have been supplemented with farmer’s rainfall records. The catchment has multiple competing users. To determine the ecological reserve for the wetlands, the spatial and temporal distribution of recharge had to be well constrained using the J2000 rainfall/runoff model. The majority of rainfall occurs in the mountains (±650 mm/yr) and considerably less in the valley (±280 mm/yr). Percolation was modelled as 3.6% of rainfall in the driest parts of the catchment, 10% of rainfall in the moderately wet parts of the catchment and 8.4% but up to 28.9% of rainfall in the wettest parts of the catchment. The model results are representative of rainfall and water level measurements in the catchment, and compare well with water table fluctuation technique, although estimates are dissimilar to previous estimates within the catchment. This is most likely due to the daily timestep nature of the model, in comparison to other yearly average methods. These results go some way in understanding the fact that although most semi-arid catchments have very low yearly recharge estimates, they are still capable of sustaining high biodiversity levels. This demonstrates the importance of incorporating shorter term recharge event modeling for improving recharge estimates.
4 Chunga, B. A.; Marx, W.; Cai, Xueliang; de Clercq, W.; Watson, A.; Malota, M. 2023. Water allocation using system dynamic modelling in the aquaculture integrated with small-scale irrigation systems in Malawi. Physics and Chemistry of the Earth, 129:103355. [doi: https://doi.org/10.1016/j.pce.2022.103355]
Water allocation ; Modelling ; Aquaculture ; Small-scale irrigation ; Decision support systems ; Fish ponds ; Maize ; Crop production ; Soil water balance ; Water depth ; Water-use efficiency ; Biomass production ; Crop yield ; Water resources ; Rainfall ; Rural areas ; Farmers ; Climate change / Malawi / Zomba / Chingale
(Location: IWMI HQ Call no: e-copy only Record No: H051813)
(5.07 MB)
The agricultural sector is faced with numerous challenges including climate change and water scarcity in many developing countries. In order to address scarcity and improve water use efficiency for rural farmers, fish farming is being integrated with small-scale irrigation. However, there are challenges in how to allocate water between the two farming enterprises. This study explored the capabilities of system dynamics to allocate water between a fish pond and a crop field in Chingale, Malawi using a system dynamic software, Vensim™ PLE. For soil water and pond water, a simple water balance structure was built and connected to the crop growth structure. Simulations run for 125 days corresponding to the maize growth period. Model results are similar to the actual yield (about 3.5 ton/ha for hybrid) and biomass production (about 7 ton/ha) in the area. Results also show it was possible to maintain pond water depth at recommended depths for raising fish: fish stocking (1 m), operation of the pond (1.5–2.0 m) and harvesting of the fish (less than 1.2 m) throughout the maize growing period. While the study did not comprehensively build and simulate fish growth, the use of such simple tools would benefit rural farmers with few resources. Based on the promising capabilities and the results of the tool it is recommended that further comprehensive analysis to fully incorporate all key sub-components affecting crop and fish growth be carried out.
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