CHAPTER 3CLIMATE VARIABILITYBox 3-1. Managing Water Resources in <strong>the</strong> Mekong River BasinThe Mekong River Basin illustrates <strong>the</strong> challenges of transboundary integrated water resourcesmanagement and <strong>the</strong> inextricability of climate change and development planning.The lower basin riparians—Cambodia, Lao Peoples Democratic Republic, Thailand, and Vietnam—began discussing basin management in 1957 and formed <strong>the</strong> Mekong River Commission (MRC) in 1995.The MRC’s mission is “To promote and coordinate sustainable management and development of waterand related resources for <strong>the</strong> countries’ mutual benefit and <strong>the</strong> people’s well-being.” This is a technicallyand politically challenging task. The lower basin alone has 60 million inhabitants and <strong>the</strong>re are complexinterconnections among <strong>the</strong> many water uses. The river’s annual cycle of ebb and flood sustain <strong>the</strong> richfisheries and distinctive ecology of <strong>the</strong> Tonle Sap Great Lake and regulate water and nutrient flows <strong>to</strong><strong>the</strong> fertile irrigated fields of <strong>the</strong> Mekong Delta. Development of <strong>the</strong> basin’s immense hydropowerpotential can bring income and carbon-free energy, but it also affects water and sediment flows, as wellas <strong>the</strong> river’s unique aquatic biodiversity. Sorting out development plans would be difficult enoughwithin a single country, let alone among four nations with a his<strong>to</strong>ry of conflict.The GEF-funded, <strong>Bank</strong>-executed Water Utilization Project (WUP) addressed both <strong>the</strong> technical andpolitical challenges. The core idea was <strong>to</strong> build confidence, trust, and data sharing through <strong>the</strong>construction of a hydrological model of <strong>the</strong> basin—<strong>the</strong> Decision Support Framework (DSF). The DSFwould <strong>the</strong>n be used <strong>to</strong> determine minimum allowable values for water flow and water quality.Agreement on <strong>the</strong>se “rules” would define a “Development Opportunity Space” that could be used <strong>to</strong>determine <strong>the</strong> acceptability of proposed plans for development. A similar approach was successfullyused, over a long period in <strong>the</strong> negotiation of European treaties on transboundary air pollution. Riverbasin modeling activities were also included in <strong>the</strong> <strong>Bank</strong>-executed portion of <strong>the</strong> Nile Basin Initiative.Results <strong>to</strong> date have been mixed. Progress was made on adopting procedural guidelines, including thoserelated <strong>to</strong> prior consultation on projects that affect <strong>the</strong> Mekong mainstream. The DSF was constructedand <strong>the</strong> process has contributed <strong>to</strong> capacity building and data-sharing. However, <strong>the</strong> MRC countrieshave so far been unable <strong>to</strong> agree on <strong>the</strong> critical parameters defining water quality and quantity. Soinstead of starting with criteria for water quality and quantity and using <strong>the</strong>m <strong>to</strong> assess developmentscenarios, <strong>the</strong> MRC has proceeded in <strong>the</strong> opposite direction. It has defined some development scenariosand used <strong>the</strong> DSF <strong>to</strong> assess <strong>the</strong>ir impact on water quality and quantity, <strong>to</strong>ge<strong>the</strong>r with o<strong>the</strong>renvironmental and economic impacts.The DSF has been used <strong>to</strong> explore <strong>the</strong> implications of development and climate change for <strong>the</strong> Basin. In<strong>the</strong> absence of fur<strong>the</strong>r development, climate change would tend <strong>to</strong> increase both high and low flows.However, a development scenario (including ongoing construction of s<strong>to</strong>rage reservoirs in China), tends<strong>to</strong> even out <strong>the</strong> annual flow cycle, especially upstream in <strong>the</strong> Lower Basin, counteracting climate impactsduring <strong>the</strong> rainy season and reinforcing <strong>the</strong>m during <strong>the</strong> dry season. The DSF can assess some of <strong>the</strong>costs and benefits of <strong>the</strong>se changes, including impacts on <strong>the</strong> Tonle Sap and on <strong>the</strong> Mekong Delta,though it does not well represent sediment flows or fish migration.The <strong>Bank</strong> is increasingly engaged in analytic and project work on integrated water resourcemanagement in large river basins (both national and transboundary), including <strong>the</strong> Amu Daurya, Niger,Shire (Malawi), Tana and Beles (Ethiopia) and Zambezi,. As in <strong>the</strong> case of <strong>the</strong> Mekong, much of thiswork relies heavily on hydrological modeling <strong>to</strong> explore <strong>the</strong> economic and environmental impacts ofalternative development and climate scenarios. A lesson from <strong>the</strong> WUP is <strong>the</strong> desirability of using opensourcemodeling. The WUP uses, in part, a proprietary model. This inhibits wider distribution andindependent review of model structure and performance, undermining capacity building andcredibility.Source: IEG mission; (Mekong River Commission 2010)35
CHAPTER 3CLIMATE VARIABILITYRAINFED SYSTEMS AND THE DRYLANDS, WITH A FOCUS ON SUB-SAHARAN AFRICA3.11 About 820 million rural people in <strong>the</strong> developing world live in <strong>the</strong> drylands, wheremoisture stress constrains agriculture and climate sensitivity is severe (<strong>World</strong> <strong>Bank</strong> 2007).These areas produce 30 percent of <strong>the</strong> developing world’s agricultural output on 54 percen<strong>to</strong>f its agricultural land. Sub-Saharan Africa and <strong>the</strong> Middle East and North Africa arefur<strong>the</strong>r constrained by poor market access, with more than 30 percent of <strong>the</strong> populationfur<strong>the</strong>r than five hours from a market. 213.12 Regions of current climate sensitivity overlap with places where <strong>the</strong> environmentaland social impacts from climate change would be most severe. These hotspots ofvulnerability <strong>to</strong> climate change are all in rainfed systems and include <strong>the</strong> mixed arid–semiarid systems in <strong>the</strong> Sahel, arid-semiarid rangelands in parts of eastern Africa, <strong>the</strong>coastal regions of eastern Africa, and many of <strong>the</strong> drier regions of sou<strong>the</strong>rn Africa(Thorn<strong>to</strong>n, Jones and o<strong>the</strong>rs 2006).3.13 The <strong>World</strong> <strong>Bank</strong> is investing in rainfed agriculture in Sub-Saharan Africa. IEGmapped <strong>the</strong> locations of active agricultural projects in Africa according <strong>to</strong> two dimensionsthat have a strong influence on poverty and on resilience: desert and dryland versus humidregions, and remoteness from markets. (See Appendix H1 for details.) Forty percent of(identifiable) project locations were in desert or dryland areas, as compared <strong>to</strong> about half of<strong>the</strong> rural population. Fifteen percent of project locations were in areas that were both dryand remote, compared <strong>to</strong> 25 percent of <strong>the</strong> population.3.14 The productivity of Sub-Saharan agriculture is much below its potential due <strong>to</strong>inadequate management of land and water in smallholder agriculture (Penning de Vries,Rabbinge and o<strong>the</strong>rs 1997; Nin-Pratt, Johnson and o<strong>the</strong>rs 2011). Inadequate management,in turn, reflects institutional constraints on technology delivery, and inadequate marketincentives (Nin-Pratt, Johnson and o<strong>the</strong>rs 2011; <strong>World</strong> <strong>Bank</strong> 2008).3.15 Yield gap reductions are closely tied up with increased resilience. First, better soiland water management practices such as better combination of inorganic and organicfertilizer, crop rotation, and water infiltration techniques would be expected <strong>to</strong> boost yieldswhile increasing <strong>the</strong> resilience of cropping <strong>to</strong> variability in rainfall. Likewise, newtechnologies such as drought, heat, salt, and flood-<strong>to</strong>lerant crop varieties, and improvedlives<strong>to</strong>ck breeds and feeding systems could boost both average yields and resilience. (It ispossible, though, that <strong>the</strong>re may be trade-offs.) Higher crop yields and lives<strong>to</strong>ck offtake,<strong>to</strong>ge<strong>the</strong>r with well-functioning markets, result in higher levels of income for farmers andgreater demand for farm labor. Farmers with more assets are more likely <strong>to</strong> be able <strong>to</strong>withstand price and wea<strong>the</strong>r shocks. Such farmers also tend <strong>to</strong> have more diversecropping and non-farm activities that correlate positively with higher incomes (Ellis andFreeman 2004)36