Your search found 8 records
1 Huber-Lee, A.; Kemp-Benedict, E.. 2003. Agriculture: re-adaptation to the environment. In Jinendradasa, S. S. (Comp.). Issues of water management in agriculture: compilation of essays. Colombo, Sri Lanka: Comprehensive Assessment Secretariat. pp.39-47.
(Location: IWMI HQ Call no: IWMI 631.7 G000 JIN Record No: H032476)
(4.33 MB)
2 de Fraiture, Charlotte; Wichelns, D.; Rockstrom, J.; Kemp-Benedict, E.; Eriyagama, Nishadi; Gordon, L. J.; Hanjra, M. A.; Hoogeveen, J.; Huber-Lee, A.; Karlberg, L. 2007. Looking ahead to 2050: scenarios of alternative investment approaches. In Molden, David (Ed.). Water for food, water for life: a Comprehensive Assessment of Water Management in Agriculture. London, UK: Earthscan; Colombo, Sri Lanka: International Water Management Institute (IWMI). pp.91-145.
Food supply ; Food production ; Fisheries ; Water use ; Rainfed farming ; Irrigated farming ; Ecosystems ; Poverty
(Location: IWMI HQ Call no: IWMI 630.7 G000 IWM Record No: H040196)
(2.97 MB)
3 Kemp-Benedict, E.; Bharwani, S.; de la Rosa, E.; Krittasudthacheewa, C.; Matin, N. 2009. Assessing water-related poverty using the sustainable livelihoods framework. Stockholm, Sweden: Stockholm Environment Institute (SEI). 25p.
(Location: IWMI HQ Call no: e-copy only Record No: H042970)
http://r4d.dfid.gov.uk/PDF/Outputs/WaterfoodCP/BayesLH_WP_100114.pdf
https://vlibrary.iwmi.org/pdf/H042970.pdf
https://vlibrary.iwmi.org/pdf/H042970.pdf
(1.40 MB) (1.40 MB)
Local circumstances and adaptations affect water-related interventions and livelihood outcomes. This local variation is crucial for developing resilient livelihood strategies, but also creates significant analytical challenges to assessing the likely impacts of water-related interventions. This report presents an approach using a probabilistic, ‘fuzzy’ model of the links between water and livelihoods that takes these fundamental uncertainties into account. The model is grounded in the Sustainable Livelihoods framework, and is implemented as a Bayesian network. The approach is applied to data from a previous study in Northeast Thailand, and the research was supplemented by field visits and key informant interviews at farms, communities, and universities in Northeast Thailand. This report presents a conceptual framework for analysing water-related interventions on poverty, an elicitation approach, and an example application. Also, it presents three innovations that resulted from the project: a novel way to represent institutions within the Sustainable Livelihood framework, a Bayesian approach to representing indicators as indirect evidence of a quantity of interest, and an elicitation technique for the conditional probability tables within a Bayesian network model.
4 Kemp-Benedict, E.; Cook, S.; Allen, S. L.; Vosti, S.; Lemoalle, J.; Giordano, Mark; Ward, J.; Kaczan, D. 2011. Connections between poverty, water and agriculture: evidence from 10 river basins. Water International, 36(1):125-140. (Special issue on "Water, food and poverty in river basins, Part 2: Cross-basin analysis and synthesis" with contributions by IWMI authors). [doi: https://doi.org/10.1080/02508060.2011.541015]
(Location: IWMI HQ Call no: PER Record No: H043965)
(0.27 MB)
The authors analysed livelihood conditions in 10 river basins over three continents to identify generalizable links between water, agriculture and poverty. There were signi cant variations in hydrological conditions, livelihood strategies and institutions across basins, but also systematic patterns across levels of economic development. At all levels, access to water is in uenced by local, regional or national institutions, while the importance of national versus local institutions and livelihood strategies vary with economic development. The cross-basin analysis suggests a framework for thinking about ater–agriculture–poverty links that can inform future research and policy development.
5 Kemp-Benedict, E.; Cook, Simon; Allen, S. L.; Vosti, S.; Lemoalle, J.; Giordano, Mark; Ward, J.; Kaczan, D. 2012. Connections between poverty, water and agriculture: evidence from 10 river basins. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.363-378.
Poverty ; Water poverty ; Water scarcity ; Water productivity ; Agriculture ; River basin development ; Social aspects ; Living conditions ; Hydrology ; Economic development ; Institutions / South America / Asia / Africa / Iran / Limpopo River Basin / Niger River Basin / Nile River Basin / Volta River Basin / Ganges River Basin / Karkeheh River Basin / Mekong River Basin / Yellow River Basin / Andes River Basins
(Location: IWMI HQ Call no: IWMI Record No: H044851)
(1.19 MB)
6 Kirby, M.; Krittasudthacheewa, C.; Mainuddin, M.; Kemp-Benedict, E.; Swartz, C; de la Rosa, E. 2012. The Mekong: a diverse basin facing the tensions of development. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.110-130.
River basin development ; Poverty ; Indicators ; Water resources ; Water use ; Hydrology ; Flow ; Climate change ; Irrigation ; Agricultural production ; Fisheries ; Institutions / Southeast Asia / Mekong River Basin
(Location: IWMI HQ Call no: IWMI Record No: H044841)
7 Fisher, M. J.; Harding, Amanda; Kemp-Benedict, E.. 2014. The Challenge Program on Water and Food [CPWF]: a new paradigm for research in the CGIAR. In Harrington, Larry W.; Fisher, M. J. (Eds.). Water scarcity, livelihoods and food security: research and innovation for development. Oxon, UK: Routledge - Earthscan. pp.1-14. (Earthscan Studies in Water Resource Management)
Research programmes ; Research organizations ; Development ; Water productivity ; River basins ; Agriculture ; Living standards ; Food security ; Poverty ; CGIAR
(Location: IWMI HQ Call no: 333.91 G000 HAR, e-copy SF Record No: H046783)
8 Barron, Jennie; Kemp-Benedict, E.; Morris. J.; de Bruin, A.; Wang, G.; Fencl, A. 2015. Mapping the potential success of agricultural water management interventions for smallholders: where are the best opportunities? Water Resources and Rural Development, 6:24-49. (Special issue: Managing Rainwater and Small Reservoirs in Sub-Saharan Africa). [doi: https://doi.org/10.1016/j.wrr.2015.06.001]
Agriculture ; Water management ; Smallholders ; Farming systems ; Small scale farming ; Rainfed farming ; Rainwater ; Water harvesting ; Reservoir operation ; Bayesian theory ; Technology transfer ; River basins ; Smallholders ; Farmers ; Soil water ; Water conservation ; Climate change / Southern Africa / Limpopo River Basin / Volta River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047100)
(1.35 MB)
From field to basin scales, there are many appropriate interventions used to manage rainfall efficiently and productively in smallholder farming systems. Yet, successful targeting and scaling-out of these approaches remains a challenge. This paper presents an innovative approach in decision support called ‘Targeting Agricultural Water Management Interventions’ (TAGMI) that addresses this challenge with application in Limpopo and Volta river basins (available at www.seimapping.org/tagmi). The online open-access TAGMI uses country-scale Bayesian network models to assess the likelihood of success for outscaling various agricultural water management (AWM) interventions at sub-national level. The web tool integrates multiple sources of expertise on the enabling environment for outscaling based on key social, human, physical, financial, and natural factors. It estimates the relative probability of success of an AWM intervention across the Limpopo and Volta river basins. Here we present TAGMI as a ‘proof of concept’, current areas of high, medium, and low probability of success for three AWM technologies common in Limpopo and Volta River Basins: the soil water conservation/in situ rainwater harvesting technologies in rain-fed systems, small-scale private irrigation and small reservoirs used for communal irrigation purposes. We then apply a climate change scenario and discuss the robustness in potential AWM, according to the TAGMI tool. Finally, we discuss the need for further development of DSS for AWM interventions, and the need for generic or specific information on ‘best practices of implementation’ for successful uptake of technologies in poverty-constrained smallholder farming systems.
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