Your search found 6 records
1 de Fraiture, C.; Rubiano, J.; Alvarez, C. 2000. Uso real y potencial del agua en la cuenca del rio Cabuyal, Colombia. In Spanish. Mexico City, DF, Mexico: International Irrigation Management Institute (IIMI). Mexico Program. xvi, 56p. (IWMI Serie Latinoamericana 012) [doi: https://doi.org/10.3910/2009.413]
Water use ; Water management ; Climate ; Hydrology ; Irrigated farming ; Conflict ; Subsurface water ; Water balance ; Precipitation ; Computer models ; Evapotranspiration ; Simulation models ; Pumping ; Afforestation / Colombia / Cabuyal
(Location: IWMI-HQ Call no: IIMI 631.7.1 G518 DEF Record No: H026122)
http://www.iwmi.cgiar.org/Publications/Latin_American_Series/pdf/12.pdf
(852KB)

2 Bossio, Deborah; Critchley, W.; Geheb, K.; van Lynden, G.; Mati, B.; Bhushan, P.; Hellin, J.; Jacks, G.; Kolff, A.; Nachtergaele, F.; Neely, C.; Peden, D.; Rubiano, J.; Shepherd, G.; Valentin, Christian; Walsh, M. 2007. Conserving land, protecting water. 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.551-583.
Water resource management ; Land management ; Soil degradation ; Soil management ; Erosion ; Sedimentation ; Water pollution ; Households ; Women ; Gender ; Farming systems
(Location: IWMI HQ Call no: IWMI 630.7 G000 IWM Record No: H040207)
http://www.iwmi.cgiar.org/assessment/Water%20for%20Food%20Water%20for%20Life/Chapters/Chapter%2015%20Land.pdf
https://vlibrary.iwmi.org/pdf/H040207.pdf
(0.90 MB) (1.66 MB)

3 Cook, Simon E.; Fisher, M. J.; Andersson, M. S.; Rubiano, J.; Giordano, Mark. 2009. Water, food and livelihoods in river basins. Water International, 34(1):13-29. [doi: https://doi.org/10.1080/02508060802673860]
Poverty ; Water use ; River basins ; Water stress ; Water scarcity ; Irrigated farming ; Water productivity ; Food production ; Food shortages ; Food security ; Land degradation / Central Asia / West Africa / Mekong River Basin / Aral Sea / Sao Francisco River Basin / Volta River Basin / Karkheh River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H042309)
http://www.tandfonline.com/doi/pdf/10.1080/02508060802673860
https://vlibrary.iwmi.org/pdf/H042309.pdf
(2.20 MB) (2.20MB)
Conflicting demands for food and water, exacerbated by increasing population, increase the risks of food insecurity, poverty and environmental damage in major river systems. Agriculture remains the predominant water user, but the linkage between water, agriculture and livelihoods is more complex than “water scarcity increases poverty”. The response of both agricultural and non-agricultural systems to increased pressure will affect livelihoods. Development will be constrained in closed basins if increased demand for irrigation deprives other users or if existing agricultural use constrains non-agricultural activities and in open basins if agriculture cannot feed an expanding or changing population or if the river system loses capacity due to degradation or over-exploitation.

4 Rubiano, J.; Soto, V. 2009. Geographical extrapolation domain analysis: scaling up watershed management research projects: a toolkit to guide implementation. Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food. 26p. (CPWF Working Paper 004)
Watershed management ; Research projects ; Models ; GIS ; Case studies
(Location: IWMI HQ Call no: e-copy only Record No: H042837)
https://cgspace.cgiar.org/bitstream/handle/10568/3752/CPWF_Working_Paper_04.pdf?sequence=1
https://vlibrary.iwmi.org/pdf/H042837.pdf
(3.67 MB) (3.66 MB)
Funding agencies, research programs, and organizations involved in the implementation of research need to know the potential worldwide impact and applicability of their efforts and investments. The extrapolation domain analysis method (EDA) was developed to produce information about the location, areas, and population potentially influenced by research outputs.
This working paper presents detailed steps how to implement an EDA. For a particular research project, it starts with establishing a baseline assessment of the project, and proceeds through data collection, preparation, and similarity modeling concluding with reporting and validation.
The guide is designed for users with intermediate knowledge of GIS and Bayesian statistics for a smooth and easy implementation of the method. It also requires the participation of the members of the research project for proper identification of key variables to be used in the process.

5 Douthwaite, B.; Alvarez, S.; Cook, S.; Davies, R.; George, Pamela; Howell, J.; Mackay, R.; Rubiano, J.. 2007. Participatory impact pathways analysis: a practical application of program theory in research-for-development. Canadian Journal of Program Evaluation, 22(2):127-159.
Food security ; Poverty ; Research projects ; Development projects ; Stakeholders ; Institutions ; Impact assessment ; Models ; Water productivity
(Location: IWMI HQ Call no: e-copy only Record No: H044703)
https://vlibrary.iwmi.org/pdf/H044703.pdf
(1.14 MB)
The Challenge Program on Water and Food pursues food security and poverty alleviation through the efforts of some 50 researchfor-evelopment projects. These involve almost 200 organizations working in nine river basins around the world. An approach was developed to enhance the developmental impact of the program through better impact assessment, to provide a framework for monitoring and evaluation, to permit stakeholders to derive strategic and programmatic lessons for future initiatives, and to provide information that can be used to inform public awareness efforts. The approach makes explicit a project’s program theory by describing its impact pathways in terms of a logic model and network maps. A narrative combines the logic model and the network maps into a single explanatory account and adds to overall plausibility by explaining the steps in the logic model and the key risks and assumptions. Participatory Impact Pathways Analysis is based on concepts related to program theory drawn from the fi elds of evaluation, organizational learning, and social network analysis.

6 Mulligan, M.; Rubiano, J.; Hyman, G.; White, D.; Garcia, J.; Saravia, M.; Leon, J. G.; Selvaraj, J. J.; Guttierez, T.; Saenz-Cruz, L. L. 2012. The Andes basins: biophysical and developmental diversity in a climate of change. In Fisher, M.; Cook, Simon (Eds.). Water, food and poverty in river basins: defining the limits. London, UK: Routledge. pp.9-29.
River basins ; Climate change ; Economic aspects ; Social aspects ; Poverty ; Water availability ; Water productivity ; Water balance ; Rain ; Agricultural production ; Population growth / Venezuela / Colombia / Ecuador / Peru / Bolivia / Chile / Argentina / Andes Basins
(Location: IWMI HQ Record No: H044837)

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