Challenging Hydrological Panaceas: Water poverty governance accounting for spatial scale in the Niger River Basin

Journal of Hydrology

Volumn 519, Issue PC, 2014, Pages 2501-2514

  Ward, John ^a   Kaczan, David ^b  

^a CSIRO   (Australia)

^b DUKE UNIVERSITY   (United States)

Author keywords

Africa; Niger River Basin; Poverty correlates; Spatial correlation; Water poverty

Indexed keywords

WATER QUALITY; WATERSHEDS;

AFRICA; INSTITUTIONAL ARRANGEMENT; INSTITUTIONAL FACTORS; POVERTY CORRELATES; RIVER BASINS; SOCIOECONOMIC EVALUATION; SPATIAL CORRELATIONS; SPATIAL NON-STATIONARITY;

RIVERS;

COMPARATIVE STUDY; POLICY MAKING; RESOURCE DEPLETION; SOCIOECONOMIC SURVEY; SPATIAL ANALYSIS; SPATIAL RESOLUTION; VULNERABILITY; WATER DEMAND; WATER QUALITY;

NIGER BASIN;

EID: 84912117547     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.05.068     Document Type: Article

References (76)

1. Aliaga, A., Ren, R., 2006. Cluster optimal size for demographic and health surveys, DHS Working Papers No. 30, ORC Marco, Calverton, Maryland.
2. Amarasinghe U., Samad M., Anputhas M. Spatial clustering of rural poverty and food insecurity in Sri Lanka. Food Policy 2005, 30(5-6):493-509.
3. Anselin L. Local indicators of spatial autocorrelation-LISA. Geogr. Anal. 1995, 27:92-115.
4. Anselin L. Exploring spatial data with GeoDa: A Workbook 2005, Spatial Analysis Laboratory, Department of Geography, University of Illinois, Urbana, Illinois.
5. Balk D., Pullum T., Storeygard A., Greenwell F., Neuman M. Spatial Analysis of Childhood Mortality in West Africa, Calverton, Maryland 2003, ORC Macro and Center for International Earth Science Information Network (CIESIN), Columbia University, USA.
6. Bateman I., Yang W., Boxall P.C. Geographical information systems (GIS) and spatial analysis in resource and environmental economics. The International Yearbook of Environmental and Resource Economics 2006/20007 2006, Edward Elgar, Cheltenham, U.K. T. Tietenburg, H. Folmer (Eds.).
7. Bellon M.R., Hodson D., Bergvinson D., Beck D., Martinez-Romero E., Montoya Y. Targeting agricultural research to benefit poor farmers: relating poverty mapping to maize environments in Mexico. Food Policy 2005, 30(5-6):476-492.
8. Benson T., Chamberlin J., Rhinehart I. An investigation of the spatial determinants of the local prevalence of poverty in rural Malawi. Food Policy 2005, 30:532-550.
9. Bigman D., Dercon S., Guillaume D., Lambotte M. Community targeting for poverty reduction in Burkina Faso. World Bank Econ. Rev. 2000, 14(1):167-193.
10. Bivand, R., 2009. Package spdep: spatial dependence, weighting schemes and models [software for use with R], accessed online [19 August 2009] at http://cran.rproject.org/web/packages/spdep/spdep.pdf.
11. Boots B. Local measures of spatial association. Ecoscience 2001, 9:168-176.
12. Cash D., Clark W., Alcock F., Dickson N., Eckley N., Jager J., Mitchell R. Knowledge systems for sustainable development. Proc. Natl. Acad. Sci. 2003, 100(14):8086-8091.
13. Cash D., Adger W., Berkes F., Garden P., Lebel L., Olsson P., Pritchard L., Young O. Scale and cross-scale dynamics: governance and information in a multilevel world. Ecol. Soc. 2006, 11(4):8-20.
14. Castillo, G., Namara, R., Ravnborg, H., Hanjra., M Smith, L., Hussein, M., Bene, C., Cook, S., Hirsch, D., Polak, P., Vaalee, D.,van Koppen, B.,2007. Reversing the flow: agricultural water management pathways for poverty reduction. In: Molden, D.(Ed.), Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture. International Water Management Institute and Earthscan, Washington D.C.
15. Center for Hazards and Risk Research, 2005. Core datasets - Natural disaster hotspots - A global risk analysis, The World Bank Group and The Center for International Earth Science Information Network, Columbia University, New York. Available online [29 September 2008] at http://www.ldeo.columbia.edu/chrr/research/hotspots/.
16. Chambers R., Conway G. Sustainable Rural Livelihoods: Practical Concepts for the 21st Century 1992, Institute of Development Studies, Brighton, UK.
17. CIESIN, 2005. Gridded Population of the World: Future Estimates (GPWFE), Center for International Earth Science Information Network, Columbia University; United Nations Food and Agriculture Programme (FAO); and Centro Internacional de Agricultura Tropical (CIAT). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available online [29 September 2008] at http://sedac.ciesin.columbia.edu/gpw.
18. Cook, Gichuki F. Analyzing water poverty: water, agriculture and poverty in basins. Basin Focal Project Working Paper No. 3 2007, CGIAR Challenge Program on Water and Food, Colombo.
19. Davis B. Choosing a Method for Poverty Mapping 2003, Agriculture and Economic Development Analysis Division, Food and Agriculture Organization of the United Nations, Rome.
20. Elbers C., Fujii T., Lanjouw P., Özler B., Yin W. Poverty alleviation through geographic targeting: How much does disaggregation help'. J. Dev. Econ. 2007, 83(1):198-213.
21. Falkenmark M., Molden D. Wake up to realities of river basin closure. Int. J. Water Resour. Dev. 2008, 24(2):201-215.
22. FAO, 2000. Water Resources and irrigation in Africa, Aquastat, Food and Agriculture Organization, Rome. Available online [29 September 2008] at http://www.fao.org/nr/water/aquastat/watresafrica/index.stm.
23. FAO, 2000a. Global forest resources assessment Available online [03 May 2014] at http://www.fao.org/forestry/fra/24691/en/.
24. FAO, 2006. Geo-referenced database on African dams, Aquastat, Food and Agriculture Organization, Rome. Available online [29 September 2008] at http://www.fao.org/nr/water/aquastat/damsafrica/index.stm.
25. FAO, 2007. Annual total evaporation, Food and Agriculture Organization, Rome. Available online [29 September 2008] at http://www.fao.org/geonetwork.
26. FAO, 2007a. Global map of irrigation areas - version 4.0.1, Aquastat, Food and Agriculture Organization, Rome. Available online [29 September 2008] at http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm.
27. FAO Auxiliary Vector Database Component - RWDB2 Administrative Centres and Populated Places 2007, African Water Resources Database, Technical manual and workbook, FAO, Rome.
28. FAO, 2007c. Gridded livestock of the world 2007, by Wint, G and Robinson, T, Food and Agriculture Organisation, Rome. Data layers sourced from Kruska, R, CGIAR (pers. comm. June 2008)
29. Farrow A., Larrea C., Hyman G., Lema G. Exploring the spatial variation of food poverty in Ecuador. Food Policy 2005, 30(5-6):510-531.
30. Folke C., Pitchard L., Berkes F., et al. The problem of goodness of fit between ecosystems and institutions: ten years later. Ecol. Soc. 2007, 12(1):30.
31. Fujii T. How well can we target aid with rapidly collected data? Empirical results for poverty mapping from Cambodia. World Dev. 2008, 36(10):1830-1842.
32. Funtowicz S.O., Ravetz J.R. Science for the post-normal age. Futures 1993, 25(7):739-755.
33. Gibson C., Ostrom E., Ahn T. The concept of scale and the human dimensions of global change: a survey. Ecol. Econ. 2000, 32:217-239.
34. Giordano M. Agricultural groundwater use and rural livelihoods in sub-Saharan Africa: a first-cut assessment. Hydrogeol. J. 2006, 14(3):310-318.
35. Hair J.F., Anderson R., Tatham R.L., Black W.C. Multivariate Data Analysis 2006, Prentice Hall, Upper Saddle River, N.J.
36. Hanjra M., Gichuki F. Investments in agricultural water management for poverty reduction in Africa: case studies of Limpopo, Nile, and Volta river basins. Nat. Res. Forum 2008, 32:185-202.
37. Hanjra M., Ferede T., Gutta D.G. Reducing poverty in sub-Saharan Africa through investments in water and other priorities. Agric. Water Manag. 2009, 96:1062-1070.
38. Hentschel J., Olson J., Lanjouw P., Poggi J. Combining census and survey data to trace the spatial dimensions of poverty: a case study of Ecuador. World Bank Econ. Rev. 2000, 14(1):147-165.
39. Hisschemöller M., Hoppe R. Coping with intractable controversies: the case for problem structuring in policy design and analysis. Knowledge Policy 1996, 8(4):40-60.
40. Hofierka J., Cebecauer T., et al. Optimisation of Interpolation Parameters Using Cross-Validation in Digital Terrain Modelling 2007, 67-82. Springer, Berlin Heidelberg. W. Cartwright, G. Gartner, L. Meng, M.P. Peterson (Eds.).
41. Hoppe R. Rethinking the science-policy nexus: from knowledge utilization and science technology studies to types of boundary arrangements. Poiesis Praxis: Int. J. Technol. Assess. Ethics Sci. 2005, 3(3):199-215.
42. Hyman G., Larrea C., Farrow A. Methods, results and policy implications of poverty and food security mapping assessments. Food Policy 2005, 30(5-6):453-460.
43. Imhoff, M., Bounoua, L., Ricketts, T., Loucks, C., Harriss, R., Lawrence, W., 2004. Global Patterns in Net Primary Productivity, Global Patterns in Human Appropriation of Net Primary Productivity, Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity, Socioeconomic Data and Applications Center (SEDAC), available online [29 September 2008] at http://sedac.ciesin.columbia.edu/es/hanpp.html.
44. Kaczan D., Ward J. Water statistics and poverty statistics in Africa: do they correlate at national scales?. Water Int. 2011, 36(3):283-294.
45. Kandala N.-B., Ji C., Stallard N., Stranges S., Cappuccio F.P. Morbidity from diarrhoea, cough and fever among young children in Nigeria. Ann. Trop. Med. Parasitol. 2008, 102(5):427-445.
46. Kemp-Benedict E., Cook S., Allen S.L., Vosti S., Lemoalle J., Giordano M., Ward J., Kaczan D. Connections between poverty, water and agriculture: evidence from 10 river basins. Water Int. 2011, 36(1):125-140.
47. Kristjanson P., Radeny M., Baltenweck I., Ogutu J., Notenbaert A. Livelihood mapping and poverty correlates at a meso-level in Kenya. Food Policy 2005, 30:568-583.
48. Lee K.N. Greed, scale mismatch and learning. Ecol. Appl. 1993, 3(4):560-564.
49. Leenders J., Visser S., Stroosnijder L. Farmers' perceptions of the role of scattered vegetation in wind erosion control on arable land in Burkina Faso. Land Degrad. Dev. 2004, 16:327-337.
50. Leibbrandt M., Woolard I. A comparison of poverty in South Africa's nine provinces. Dev. Southern Africa 1999, 16(1):37-54.
51. MARA, 2008. Mapping malaria risk in Africa - Distribution of endemic malaria, prevalence model, Western Africa, MARA/AMRA, Durban, South Africa. Available online [29 September 2008] at http://www.mara.org.za/.
52. Measure DHS,2008. Country Datasets: Benin(2001), Burkina Faso (2003), Cameroon(2004), Cote d'Ivoire(1998-9), Guinea(2005), Mali(2006), Niger(2006), Nigeria(2003), Macro International, Calverton, Maryland, USA. Available online [29 September 2008] at http://www.measuredhs.com.
53. Minot N., Baulch B. Spatial patterns of poverty in Vietnam and their implications for policy. Food Policy 2005, 30(5-6):461-475.
54. Molle F., Mollinga P. Water policy indicators: conceptual problems and policy issues. Water Policy 2003, 5:529-544.
55. Moss T. Spatial fit, from panacea to practice: implementing the EU water framework directive. Ecol. Soc. 2012, 17(3).
56. Neupane A., Boxall P., Farlane B., Pelletierc R. Using expert judgments to understand spatial patterns of forest-based camping: a values-at-risk application. J. Environ. Manage. 2007, 85:471-482.
57. Niger Basin Authority Regional Synthesis on National Multi-sectoral Studies 2005, Niger Basin Authority, Niamey, Niger.
58. Ogilvie A., Mahé G., Ward J., Serpantié G., Lemoalle J., Morand P., Barbier B., Diop A.T., Caron A., Namarra R., Kaczan D., Lukasiewicz A., Paturel J.-E., Liénou G., Clanet J.C. Water, agriculture and poverty in the niger river basin. Water Int. 2010, 35(5):594-622.
59. Pérez-Foguet A., Garriga R.G. Analyzing Water Poverty in Basins. Water Resour. Manage 2011, 25(14):3595-3612.
60. R Development Core Team, 2009. R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria. Available online http://www.R-project.org.
61. Rasmussen K., Fog B., Madsen J. Desertification in reverse? Observations from northern Burkina Faso. Global Environ. Change 2001, 11(4):271-282.
62. Rijsberman F.R. Water scarcity: fact or fiction?. Agric. Water Manag. 2006, 80(1-3):5-22.
63. Robinson T.P., Metternicht G. Testing the performance of spatial interpolation techniques for mapping soil properties. Comput. Electron. Agri. 2006, 50(2):97-108.
64. Rutstein, S., Johnson, K., 2004. The DHS Wealth Index, DHS Comparative Reports no. 6, Measure DHS, Calverton, Maryland, USA.
65. SEDAC, 2005. Last of the Wild Data Version 2: Global Human Footprint data set (HF), Wildlife Conservation (WCS) and Center for International Earth Science Information Network (CIESIN). Available online [29 September 2008] at http://sedac.ciesin.columbia.edu/wildareas/.
66. Setboonsarng, S., 2005. Child malnutrition as a poverty indicator: an evaluation in the context of different development interventions in Indonesia, ADB Institute Discussion Paper no. 21, Asian Development Bank, Manila.
67. Sivapalan M., Grayson R., Woods R. Scale and scaling in hydrology. Hydrol. Proc. 2004, 18:1369-1371.
68. Stephen L., Downing T.E. Getting the scale right: a comparison of analytical methods for VA and household-level targeting. Disasters 2001, 25(2):113-135.
69. Sterk B., Carberry P., et al. The interface between land use systems research and policy: multiple arrangements and leverages. Land Use Policy 2009, 26(2):434-442.
70. Syme G.J., Reddy V.R., Pavelic P., Croke B., Ranjan R. Confronting scale in watershed development in India. Hydrogeol. J. 2012, 20(5):985-993.
71. UN Population Division,2006. World Population Prospects: the 2006 Revision Population Database, Accessed online [12 December 2008] at http://esa.un.org/unpp.
72. Van Koppen B. Water reform in sub-Saharan Africa: what is the difference?. Phys. Chem. Earth 2003, 28(20-27):1047-1053.
73. Vincent, K., 2004. Creating an index of social vulnerability to climate change for Africa, Working Paper 56, Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia, Norwich, UK.
74. Vreudenhil H., Slinger J., Kater E., Thissen W. The influence of scale preferences on the design of a water innovation: a case in Dutch river management. Environ. Manage. 2010, 46(1):29-43.
75. Ward, J., Kaczan, D., Lukasiewicz, A., 2009. A water poverty analysis of the Niger River Basin, West Africa, Report for Niger Basin Focal Project as part of The CGIAR Challenge Program on Water and Food, Colombo, Sri Lanka.
76. World Bank(2009) PovcalNet online Poverty Analysis Tool, Available online [4th February 2009] at http://go.worldbank.org/NT2A1XUWP0.