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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2007 Apr 2;104(15):6253–6260. doi: 10.1073/pnas.0605739104

Assessing the water challenge of a new green revolution in developing countries

Johan Rockström *,†,, Mats Lannerstad *,§, Malin Falkenmark †,
PMCID: PMC1851042  PMID: 17404216

Abstract

This article analyzes the water implications in 92 developing countries of first attaining the 2015 hunger target of the United Nations Millennium Development Goals and then feeding a growing population on an acceptable standard diet. The water requirements in terms of vapor flows are quantified, potential water sources are identified, and impacts on agricultural land expansion and water tradeoffs with ecosystems are analyzed. This article quantifies the relative contribution from infiltrated rainwater/green water in rain-fed agriculture, and liquid water/blue water from irrigation, and how far water productivity (WP) gains can go in reducing the pressure on freshwater resources. Under current WP levels, another 2,200 km3·yr−1 of vapor flow is deemed necessary to halve hunger by 2015 and 5,200 km3·yr−1 in 2050 to alleviate hunger. A nonlinear relationship between vapor flow and yield growth, particularly in low-yielding savanna agro-ecosystems, indicates a high potential for WP increase. Such WP gains may reduce additional water needs in agriculture, with 16% in 2015 and 45% by 2050. Despite an optimistic outlook on irrigation development, most of the additional water will originate from rain-fed production. Yield growth, increasing consumptive use on existing rain-fed cropland, and fodder from grazing lands may reduce the additional rain-fed water use further by 43–47% until 2030. To meet remaining water needs, a cropland expansion of ≈0.8% yr−1, i.e., a similar rate as over the past 50 years (≈0.65% yr−1), seems unavoidable if food production is to occur in proximity to local markets.

Keywords: consumptive water use, food security, water productivity, water resource management


In a recent article on changes in the global pattern of vapor flows from the land surface to the atmosphere, Gordon et al. (1) stressed that the proportion of vapor flows in the global hydrological cycle will continue to increase over the next 50 years in efforts to meet food requirements of an additional 2–3 billion people and to reduce today's undernutrition. This article analyzes vapor flow changes expected from hunger alleviation efforts in developing countries in response to the United Nations (UN) Millennium Development Goals (MDG).

Population growth occurs almost exclusively in developing countries, annually adding 60 million to 80 million new inhabitants over the coming 20 years. There is a close link between hunger and poverty, with 70% of the world's 1.1 billion absolute poor living in rural areas, where the majority of the 850 million malnourished are hosted (2). Agricultural development remains key to economic growth in these countries (3). To meet the hunger goal, two priority regions have been identified in the UN MDG process: South Asia and sub-Saharan Africa (4), the same regions where Conway (5) raised concern over a future hunger gap when comparing projections of plausible irrigation development with market-based food demands.

As seen from Fig. 1 (2), the two priority regions share particular hydro-climatic challenges. They are largely situated in the zone with tropical savanna agro-ecosystems and are characterized by considerable challenges: seasonal rainfall, intermittent dry spells, recurrent drought years, high evaporative demand, and often inherently low-fertile soils vulnerable to erosion (6). Food crop yields are generally low in these regions. Sub-Saharan Africa never benefited from the Green Revolution of the 1960s and 1970s with high-yielding crop varieties, irrigation, fertilizers, and pest management. The result is extremely low cereal yields (oscillating ≈1 t·ha−1, ton/hectare) and merely 5% of agricultural land under irrigation. South and southeast Asia, on the contrary, were at the heart of the Green Revolution, with higher yields (at least twice as high as in sub-Saharan Africa; ref. 7) and large irrigation withdrawals amounting to >60% of agricultural water use. In regions supported by irrigation, many rivers are increasingly being depleted (8), and the potential for irrigation expansion is therefore limited.

Fig. 1.

Fig. 1.

World map showing the links between undernutrition and hydro-climatic preconditions. Prevalence of undernourished in developing countries is shown at the country level as the percentage of population 2001–2002. Hydro-climatic distribution of semiarid and dry-subhumid regions are shown in gray. These regions correspond to savanna and steppe agro-ecosystems, dominated by sedentary farming and subject to extreme rainfall variability and high occurrence of dry spells and droughts.

The close link between lack of food- and water-related constraints is caused by the large volumes of water as vapor flow [evapotranspiration (ET)] required in plant growth, ranging on average between 1,000 and 3,000 m3·t−1 dry matter grain yield for the world's dominating cereal crops (9). We define vapor flow as green water flow or consumptive water use in biomass production. Consumptive green water flow in agriculture originates from either naturally infiltrated rainwater in the soil (the green water resource) or irrigation water from surface or groundwater sources (blue water resource) withdrawn from runoff flows (blue water flow) (1, 10).

The hunger challenge involves different population categories. The task of halving hunger by 2015 will involve lifting the dietary intake for part of the population of currently malnourished persons and providing adequate diets for a growing population (1). Analyses show that undernourishment approaches zero in a country when average calorie levels approach 3,000 kcal·cap−1·yr−1 (2). This average level, which corresponds to the level of food consumption that the Food and Agriculture Organization (FAO) assumes will be reached by 2030 (11), is used as the benchmark for hunger alleviation in this article.

Large investments in water resource management are thus linked to attaining the UN MDG on hunger and poverty (12), with the 2015 target of halving the proportion of malnourished and with the long-term goal of eradicating hunger (which we have set to 2030 here). A backcasting approach is applied, where the water implications for societies and ecosystems of attaining these goals are assessed, and a plausible pathway for raising food and water productivity (WP) is analyzed.

Results

The Current Yield Gap: Taking a Water Balance Approach.

From an agro-hydrological perspective there is enough rainfall even in semiarid and dry-subhumid savanna agro-ecosystems to allow significantly increased yield levels. Field observations indicate a yield gap of a factor 2–4 between current farmers' yields and achievable yields in developing countries (12). This gap is supported by a water balance analysis of yield data, applying a green water crop model developed by Rockström and Falkenmark (13) (Fig. 2). The current low yields in a semiarid tropical agro-ecosystem are explained and manifested by on-farm blue water losses in terms of both surface runoff, limiting infiltration to the root zone, and percolation to groundwater (reduction in y axis), and on nonproductive vapor flow (evaporation), reducing the productive vapor flow component (plant transpiration) (reducing in x axis). At a generic level, if all water accessible in the root zone could be used productively, i.e., without nonproductive vapor losses and nutrient deficiency, the potential yield in the illustrated case would reach 3 t·ha−1. If there also was no deep percolation, the potential yield would reach 5 t·ha−1. If, finally, all local rain could be put to use without any farm-level water losses, the potential yield would rise to 7.5 t·ha−1. In reality, among small-holder farmers, only a fraction of rainfall typically infiltrates, and only a small fraction of this water is taken up by the crop, resulting in low on-farm crop yields. Experimental yields in the same hydro-climate generate on the order of 4 t·ha−1, and commercial yields often exceed 5 t·ha−1 (6).

Fig. 2.

Fig. 2.

Farm-level blue and green water balance analysis of the gap between actual and potential crop yields in terms of green water availability (percentage of rainfall that infiltrates in soil and returns as green vapor flow) (y axis) and productive green water use (percentage of transpiration of total vapor flow) (x axis). Lines show iso-lines of equal yield (t·ha−1) and represent different combinations of flows in the on-farm water balance. The shaded square represents the observed hydrological range for on-farm rain-fed maize farming in semiarid locations in sub-Saharan Africa, yielding on average 1 t·ha−1.

These facts suggest that there are no hydrological limitations to attain a doubling of yield levels, even in the savanna zone. This idea is supported by field observations showing that yields in small-holder tropical farming systems can be raised on average by 100%, and often by several hundred percent (14, 15). Supported by these analyses, we assess that food grain yields in developing countries can be raised from today's weighted average (yield in relation to agricultural area) of 1.5–2 t·ha−1 (7) to 3.5–4 t·ha−1 by 2030–2050.

Water Consumed in Food Production.

Under current WP levels in agriculture (defined as m3 of vapor flow per ton of edible dry weight of food, m3·t−1), our estimates, based on previous global assessments (6, 16), indicate that 0.5 m3 of water is required on average to produce the equivalent of 1,000 kcal of vegetal food and 4 m3·1,000 kcal−1 of animal products (Table 1). More water is required to produce animal foods, because only part of the vegetal energy consumed by animals is transformed into meat, milk, or eggs. The values used here are equal or lower compared with earlier estimates (1719). For animal products our estimates at the country level are lower, as we consider both cultivated feed (consuming more water) and feed from grazing lands (consuming less water) (16).

Table 1.

Estimated volumes of freshwater required to generate different components of human diets based on previous global assessments of water productivity in food-producing systems (16)

Food type m3·kg−1 m3·1,000·kcal−1
Cereals 1.5 0.47
Starchy roots 0.7 0.78
Sugarcrops 0.15 0.49
Pulses 1.9 0.55
Oilcrops 2 0.73
Vegetable oils 2 0.23
Vegetables 0.5 2.07
Average 0.53
Used in paper 0.5
Meat 4
Dairy products >6
Used in paper 4

Considering the variations in present dietary composition at the country level, and current estimates of WP, results in an estimated 4,500 km3·yr−1 of water (as vapor flow) to produce food in the 92 developing countries [out of a global estimate of 6,800 km3·yr−1 for world food production (16), of which 1,800 km3·yr−1 originate from irrigated agriculture and 5,000 km3·yr−1 from rain-fed agriculture]. An average freshwater quantity of 1,300 m3· p−1·yr−1 will be required to produce a balanced diet of 3,000 kcal·p−1·d−1, with 20% calories from animal products (11). This quantity is 70 times more than the so-called basic water need (20), seen as necessary for drinking and household purposes. To attain the 2015 MDG target, an additional 2,200 km3·yr−1 would be required relative to 2002 (Fig. 3), which in itself is more additional water for agriculture than is currently consumed by irrigation in the world. By 2030, an additional 4,165 km3·yr−1 would be required, and 5,160 km3·yr−1 by 2050, to keep pace with a growing population.

Fig. 3.

Fig. 3.

Estimated water requirement for food production in 92 developing countries to fulfill the hunger goal target of the MDG by 2015 and to eradicated hunger by 2030 and 2050, based on current estimates of WP and future food consumption (7).

WP Improvement When Low Yields Increase.

A linear relationship is generally assumed between biomass growth and vapor flow (ET), which translates to a static or constant WP [in the range of 1,000–3,000 m3·t−1 for grains (9)]. Every new unit food thus requires an equivalent incremental new unit of water (2124). Increasingly, it is recognized that this linear relationship does not apply for the lower yield range <3 t·ha−1 (6, 25) where essentially all small-scale farmers in developing countries operate (9). The reason is that improvements in agricultural productivity, resulting in yield increase and denser foliage, will involve a vapor shift from nonproductive evaporation (E) in favor of productive transpiration (T) and a higher T/ET ratio as transpiration increases (essentially linearly) with higher yield (26). This vapor shift implies a nonlinear relation between WP and yield (Fig. 4), validated against a number of empirical field observations on grains in both tropical and temperate environments (2734) (see Methods). Applying this relation, which is surprisingly robust for different grains (35), across hydro-climatic zones and management systems, the projected yield increase from 1.5–2 t·ha−1 to 3.5–4 t·ha−1 corresponds to a WP improvement from ≈1,800 m3·t−1 to 1,200 m3·t−1, i.e., relative savings of 600 m3·t−1 of grain produced.

Fig. 4.

Fig. 4.

Nonlinear relationship between WP and grain yields for cereal crops in tropical and temperate farming systems.

The potential for vapor shift is high in the MDG priority countries where a large portion of the vapor flow from crop fields is currently lost as nonproductive evaporation. For a poor farmer producing food at a typical yield of 1 t·ha−1, the crop requires on average 3,500 m3·t−1, whereas a doubling of the yield would improve WP to ≈2,000 m3·t−1. However, while the relative crop per drop improvement is substantial (from 7,000 m3 to produce 2 t·ha−1 without WP change to 4,000 m3·ha−1, i.e., a relative saving of 3,000 m3·ha−1), the absolute water requirement increases despite improved WP with higher yield (from 3,500 m3·ha−1 at a yield of 1 t·ha−1 to 4,000 m3·ha−1 when harvesting 2 t·ha−1 in this example). This large relative WP improvement applies only for farming systems operating in the low-yield range, between 0 and 3 t·ha−1. Above 3 t·ha−1 the WP shifts from the nonlinear mode to the earlier assumed static mode, where each incremental yield increase occurs with a more or less constant WP. Given that the bulk of increased food demand occurs in tropical regions, the opportunity to improve WP simultaneously with yield growth is an important factor to consider in investments for agricultural intensification.

In our calculations, we have assumed reduced evaporation losses also for irrigated agriculture. With a relative improvement in WP, the 0.5 m3 needed to produce 1,000 kcal of vegetal food would sucessively decrease to 0.38 m3 per 1,000 kcal−1, and the 4 m3 needed to produce 1,000 kcal of animal products would decrease to 3.08 m3 per 1,000 kcal−1. The current dietary water requirement of 1,300 m3·p−1·yr−1 to produce 3,000 kcal·p−1·yr−1 would in 2050 be reduced to some 1,000 m3 per person and year. This would result in a water saving by 2015 of 350 km3·yr−1, i.e., a 16% reduction of freshwater requirements compared with the previous scenario with no WP improvements. The water savings by 2030 and 2050 are larger, potentially reaching 1,150 km3·yr−1 or a 28% saving by 2030, and 2,300 km3·yr−1 or a 45% saving by 2050, compared with the static situation.

The WP improvement would thus potentially bring down the additional water requirements to attain the hunger alleviation goal to 1,850 km3·yr−1 by 2015 (in relation to 2002), to 3,015 km3·yr−1 by 2030, and 2,850 km3·yr−1 by 2050. In the period 2030–2050, the water saving, in fact, compensates for the additional water required to meet the population growth under conditions of food self-sufficiency. Despite a significant decrease, these amounts represent very large additional water requirements for food self-sufficient production in the developing world (assuming an adequate supply of nutrients). In the following we analyze how these requirements can be met.

Irrigation: Adding More Blue Water.

The first question posed is how far irrigation can contribute to the additional freshwater required. Irrigation plays and will probably continue to play an important role in feeding the world. Current global vapor flow in irrigation is, as already indicated, on the order of 1,800 km3·yr−1, of which ≈1,400 km3·yr−1 occurs in developing countries (36, 37). Although irrigation expansion projections have been scaled down in recent years (38), opportunities still remain, particularly in sub-Saharan Africa. We have chosen to adopt an optimistic outlook for the potential expansion (11), based on an assumption of significant systemwide efficiency improvements (see Methods). Based on historical trends and these projections (2), we estimate that irrigation water may contribute an additional 270 km3·yr−1 of the estimated additional freshwater required for agriculture by 2015, i.e., a 19% growth compared with 2002 (1.4% growth per year). For the period 2015–2050, we estimate an additional irrigation contribution of 520 km3·yr−1 by 2030 and 725 km3·yr−1 by 2050.

The remaining water requirement will have to be covered by naturally infiltrated rainwater (green water). Our estimates indicate that such water will have to contribute up to 85% of the additional freshwater required relative to 2002, or an additional 1,580 km3·yr−1 by 2015, 2,500 km3·yr−1 by 2030, and 2,125 km3·yr−1 by 2050, compared with 2002. Table 2 summarizes the analyses so far.

Table 2.

Total consumptive water use for food production and additional freshwater requirements (compared to 2002) to achieve the 2015 MDG hunger target (halve the proportion of hungry since 1992), and the MDG hunger goal of eradicating hunger by 2030 and beyond, indicating possible ways of covering those water requirements

Component 2002 (km3·yr−1) 2015 (km3·yr−1) 2030 (km3·yr−1) 2050 (km3·yr−1)
Total consumptive use 4,500 6,700 8,660 9,660
Additional requirements (static WP) 2,200 4,165 5,160
        Water savings nonlinear WP analysis (vapor shift and increased T/ET ratio) 350 1,150 2,300
Additional requirements (dynamic WP) 1,850 3,015 2,850
Irrigation contribution (including system-wide irrigation efficiency) 270 520 725
Remaining rain-fed contribution 1,580 2,500 2,125

Contribution from Rain Over Grazing Lands.

The next question is the contributions from grazing lands to our estimates of dietary water needs. We differentiate between feed production on croplands and fodder production from permanent grazing lands. Our estimates suggest that two-thirds of the water to generate a desired diet of 3,000 kcal·p−1·d−1 currently originates from water to produce feed and fodder (with current WP, on average 1.2 m3·p−1·d−1 from vegetal food and 2.4 m3·p−1·d−1 from animal foods). Assuming this balance persists, 1,055 km3·yr−1 of the 1,580 km3·yr−1 of additional water by 2015 would originate from different feed/fodder sources to produce animal foods, with the remaining 530 km3·yr−1 for crop-based vegetal foods.

Based on FAO food balance sheets (39) the calories from animal products in current diets were divided into two main categories of livestock systems: (i) systems fed from nongrazing/cultivated fodder (poultry, egg, pork), and (ii) systems based partly on grazing (dairy, beef, mutton, and goat). In the next step, the fodder in the “partly grazing” category was split into grazing-based and cultivated fodder based on information from the FAO (11). This simple analysis suggests that grazing will contribute fodder equivalent to 370 km3·yr−1 of the water requirement by 2015 (580 km3·yr−1 by 2030 and 500 km3·yr−1 by 2050).

This leaves 685 km3·yr−1 of water to produce grain feed for livestock (1,055 km3·yr−1 minus 370 km3·yr−1). In total, including crops for food and feed, an estimated 1,210 km3·yr−1 (685 km3 feed plus 530 km3 food) by 2015 (1,910 km3·yr−1 by 2030 and 1,630 km3·yr−1 by 2050) will have to originate from cultivated rain-fed crop lands.

Contribution from Rain Over Current Farmland.

The next question is how much of the 1,210 km3·yr−1 needed already by 2015 can be met on current rain-fed cropland. Current rain-fed cropland in developing countries is estimated at 0.9 billion ha (7, 40, 41). Based on the earlier analysis of the potential for increasing rainwater capture on current tropical cropland (Fig. 2), we estimated that it is possible to increase yields from the current average range of 1.5 to 2 t·ha−1 to an average of 2.5 t·ha−1 by 2015 and to attain average yields of 4 t·ha−1 in 2050 (Table 3).

Table 3.

Yield scenario, corresponding water productivity assessments, and estimated growth in water consumption on cropland

Component 2002 2015 2030 2050
Average crop yield (t·ha−1) 2 2.5 2.9 4
WP (m3·t−1) 1,770 1,580 1,360 1,200
Water consumption (m3·ha−1) 3,540 3,950 4,000 4,800
Increased consumption (m3·ha−1) 400 450 1,260

Increased consumption is estimated in relation to 2002.

This modest step in terms of improved agricultural and WP will be enough to contribute ≈360 km3·yr−1 (increased consumption of 400 m3·ha−1 on 0.9 billion ha of current cropland). This increased rainwater capture corresponds to a contribution of ≈40 mm·ha−1·yr−1, which should be compared with the average annual rainfall of 500–1,000 mm in most semiarid and dry-subhumid tropical-regions. However, an additional infiltration of rainwater might leave a reduced contribution to runoff generation and reduce the amount of streamflow (blue water flow) available downstream.

Cropland Expansion.

After making adjustments for the various contributions of irrigation, rain over grazing lands and better capture of rainfall over rain-fed croplands, and using optimistic assumptions about WP improvements and productivity gains on current crop land, a water requirement to attain the 2015 target of ≈850 km3·yr−1 (1,210 km3·yr−1 − 360 km3·yr−1) remains unmet and may have to be covered by expanding croplands, primarily into tropical forests and grasslands. We estimate that this unmet need would correspond to an average expansion rate of 1.3%·yr−1 for croplands in developing countries during the period 2002–2015, and a rate of 0.7% yr−1 for the period 2015–2050, resulting in an average expansion rate of 0.8% yr−1 over the coming 50 years. This need suggests a continued expansion rate of agriculture at a similar rate over the coming 50 years as over the past 50 years, when the expansion rate averaged 0.65% yr−1 in developing countries (11). Our analysis points at a large increased pressure on agricultural land over the short term (next 10–20 years) if the MDG are to be met through local food production. A trend toward more rapid expansion in developing countries can be seen over the past decades [from 0.5% yr−1 in the 1970s to 0.7% yr−1 from 1980 to 2000 (7)]. Our estimates indicate an opportunity, through agricultural and WP improvements, to lower the average expansion rate of agricultural crop land over the period 2015–2050. Even so, these expansion rates imply the need for an overall cropland expansion of altogether some 454 million ha up to 2050, i.e., an expansion of the order of 50%.

Tradeoffs Against Natural Ecosystems.

Because water is a finite resource and the water cycle is the bloodstream of the biosphere (42), competition with the water requirements of ecosystems will be unavoidable, both in terrestrial ecosystems due to horizontal expansion of croplands and in aquatic systems due to impacts on streamflow from altered vapor flow (in our analysis another 360 km3·yr−1 by 2015 from current rain-fed land in developing countries) and reduced return flows from more efficient irrigation (in our analysis another 270 km3·yr−1 used for irrigation by 2015). To illustrate future tradeoff scenarios, Fig. 5 puts present and future water requirements for food production (after productivity increase) in relation to an indicative analysis of current freshwater use by all other terrestrial and aquatic ecosystems for three developing countries. These country examples are chosen to illustrate the challenge facing three categories of developing countries (countries with significant blue water dependence on irrigation today, e.g., India; countries with relatively ample water resources subject to rapid growth in demand, e.g., Nigeria; and water-scarce countries with high dependence on green water use, e.g., Kenya).

Fig. 5.

Fig. 5.

Indicative analysis for three developing countries of freshwater use by terrestrial and aquatic ecosystems (column Today) as compared with water requirements (after considering WP increase) to reach the 2015 MDG target and eradicate hunger by 2030 and 2050.

It is clear that even if every single drop of blue water would be turned into food production, the nations' runoff would not be enough to meet the additional water requirements. In such situations expansion into other terrestrial ecosystems will be inevitable. It is important to note though that the analysis in Fig. 5 is indicative only because it is based on weak land-use data at the national level, with difficulties in distinguishing particularly among cropland, grazing lands, and grasslands. This is an important area of future research needs.

Discussion

In summary, huge volumes of additional freshwater will be required to produce the food needed to eradicate hunger in the 92 developing countries analyzed, which, even after considering crop per drop improvements in agriculture, amounts to 1,850 km3·yr−1 by 2015. Irrigation may contribute 270 km3·yr−1, leaving ≈1,600 km3·yr−1 to be met from other sources. This freshwater can, except from grazing lands, only come from four sources: (i) capturing additional local rain, (ii) horizontal expansion of agriculture, i.e., tradeoffs with terrestrial ecosystems, (iii) imports of food from elsewhere, and (iv) changes in diets, i.e., lower kcal·p−1·d−1 intake and/or more vegetarian diets than assumed here. The most likely scenario is a combination of these four, where tradeoffs with ecosystems will be unavoidable.

Because of the unpredictability of factors influencing water requirements, such as diets, population growth, and climate change, our study merely provides indicators of the increase in water required to achieve the goal of hunger alleviation in the developing world. Climate change is projected to increase variability in rainfall, with more dry spells, droughts, and floods, and reduce rainfall levels in many developing regions, which will complicate MDG achievement further (43, 44). Our diet-based approach gives lower values than the earlier study of Postel (23). She estimated that already in 1995 the minimum water requirement for the global crop harvest was 3,200 km3·yr−1 to which has to be added the water consumed on grazing lands, estimated at 5,800 km3·yr−1. Our 2050 projections (9,660 km3·yr−1 = 4,500 km3·yr−1 today + 5,160 km3·yr−1) are comparable to recent estimates by the International Water Management Institute (IWMI), indicating that global water requirement will have to increase from the current 7,200 km3·yr−1 to 11,000–13,500 km3·yr−1 (45). The irrigation assumptions in this study are as already indicated optimistic. While we assumed an additional 520 km3·yr−1 by 2030, FAO's estimate is 290 km3·yr−1, IWMI's 446 km3·yr−1, and Shiklomanov's (46) 609 km3·yr−1.

This article has analyzed the water implications of self-sufficient food production in the developing world. Food trade can release pressure from local water tradeoffs. Sub-Saharan Africa and east and southeast Asia already at present depend on cereal imports (a net import of 13% of production) (7). If assuming that this level of import dependence continues in the future, the horizontal expansion would be reduced from 1.3% yr−1 to 1.1% yr−1 until 2015, and from 0.8% yr−1 to 0.7% yr−1 over the entire period until 2050. Trade can be of particular importance during the first two decades, i.e., when demand for food grows rapidly and before agricultural and water productivities have been fully achieved. Food trade is a socio-economically and politically very complex issue, particularly in poor countries depending on agrarian economies, rendering its role in supporting hunger and poverty alleviation uncertain.

As shown in the analysis, the evolution of diets, particularly the portion of animal products, has a large effect on freshwater consumption. Our estimates indicate differences of a factor of eight in terms of consumptive water use for animal-based calories, compared with vegetarian products (on average 0.5 m3·1,000 kcal−1 compared with 4 m3·1,000 kcal−1). For animal products, our estimates are relatively conservative compared with earlier estimates (17, 47) and are thus in the lower range. This tendency is a result of trying to incorporate the proportion of animal products produced on grazing lands, where it is difficult to account for the vapor flow required to sustain fodder production. This area needs further research, including opportunity costs of using rainfall for other purposes than sustaining fodder grasses in free-grazing systems, and systems analyses on the ecological functions (other than fodder) sustained by vapor flow in grasslands.

Conclusions

This article has clarified the hydro-climatic predicament behind the hunger goal of the UN Millennium Development Project. The poorest countries subject to the largest hunger alleviation challenge, the MDG hot-spot countries, tend to be situated in regions where freshwater plays a fundamental role in determining the livelihoods of poor people. They are subject to extreme rainfall variability in hot tropical savanna regions experiencing recurrent water scarcity. This analysis indicates that meeting the 2015 target will require massive additional volumes of freshwater to produce food, a 50% increased vapor flow in agriculture as compared with today. With unchanged WP, the water required for food production would have to double from today's 4,500 km3·yr−1 to 9,660 km3·yr−1 in 2050, which means that an additional 5,200 km3·yr−1 would have to be appropriated, causing further degradation of ecosystems.

Irrigation will continue to play an important role in feeding the world and opportunities for expansion still remain, particularly in sub-Saharan Africa where >95% of the agriculture is rain fed. In this analysis we have adopted an optimistic outlook and expect an irrigation expansion beyond 2015 at the same pace as population growth in each country. We also suggest that it may in fact be possible to escape from at least half of the huge additional water requirement in agriculture, through (i) WP improvements in rain-fed and irrigated agriculture (green water loss reduction in Fig. 2), and (ii) large efforts to improve rain-fed agriculture (better use of local rain).

Still, a large challenge remains (850 km3·yr−1), which, if food production is to occur in the country itself, can be attained only through continued land use conversions from forests and grasslands to agricultural land. Our analysis confirms the trend over the past 50 years, suggesting that the historic growth rate of 0.65% yr−1 in developing countries would have to continue roughly at the same pace over the coming 50 years (on average 0.8% yr−1). This is a high risk, as shown by the Millennium Ecosystem Assessment (40), where agricultural land use expansion was identified as the major driver behind large losses of ecosystem services from natural ecosystems. This raises the need for weighing tradeoffs between local social and economic development and environmental sustainability.

As a consequence, it is imperative that development efforts have a stronger focus on how to manage land and water resources to enable increases in food production. This is critical, as 70% of the poor people live in rural areas. These are the people in focus of the MDG. The strong current focus on irrigation development will evidently have to be balanced with new policies and investments on how to improve rain-fed agriculture, which will, by far, provide the bulk of food to attain hunger alleviation. Results can be achieved, as the water is largely available, and research shows that know-how, technologies, and management systems, appropriate to local rural communities, exist and could be successfully adapted and adopted if the right investments, capacity-building efforts, policies, and legal frameworks are put in place.

Methods

Water requirements for food production are calculated at country level for each of the 92 developing countries with available data within FAO and UNstat (7). The analysis is divided into three time steps: the MDG target year of 2015 (when the proportion of hungry should be halved as compared with 1992) (48), the year 2030 (when we assume hunger eradication is accomplished), and finally the year 2050 (when world population has stabilized ≈9 billion).

Quantifying the Hunger Eradication Challenge.

Population figures for all years are taken from FAOstat (7). The proportion of undernourished in 1990 was taken from UNstat and based on available data for 1990–1991. The most recent complete set of population data, 2001–2002, was used to assess the current situation. Present national dietary energy supply per capita and animal protein levels were taken from the FAO food balance sheets (39).

Rising incomes and urbanization are driving forces behind changed life styles and diet patterns in developing countries. The food component originating from animals, as meat, dairy, and eggs, is critical when analyzing future diets. Meat consumption per capita has doubled since the mid-1970s (11). Almost the entire global population increase in developing countries of 2.5 billion by 2050 is expected to take place in urban areas and already by ≈2015 these countries will have an urban majority (41). We have assumed a final calorie target by 2030 of 3,000 kcal·p−1·d−1 out of which 20% comes from animal products (600 kcal·p−1·d−1) (2). Countries with higher animal calorie content already at present will remain on that level. For the 2015 target year, nourished people get 3,000 kcal·p−1·d−1 and the animal calorie content is increased from the present level up to 20%. The undernourished are estimated to eat 1,700 kcal·p−1·d−1 (an approximation of the basic human energy need), with an animal calorie content equal to present average for each country. Between 2002 and 2015 and 2015 and 2030 the number of persons and diets to be considered for each country in the analysis thus include (i) part of the undernourished to be upgraded to fully nourished, (ii) the additional population that needs full diet supply, and (iii) the rest of the population that gets a stepwise diet improvement.

WP Estimates.

Changes in WP as a result of yield improvements are quantified by using the approach developed by Rockström (9). Building on the work by Novak (49), who developed a simple natural logarithmic model to explain the progressive decline in E/ET with increased leaf area development, and the water use efficiency analysis by Gregory et al. (50), a simple WP function was developed (and calibrated against empirical field data):

graphic file with name zpq01507-5603-m01.jpg

where WP is green WP (ET flow, m3·t−1), WPT is productive green WP (T flow, m3·t−1), b is a constant, and Y is grain yield (t·ha−1). WPT was set to 800 m3·t−1, which is a representative value for cereals (13, 26, 35). The constant b determines the rate of decline in evaporation with increased crop canopy, and therefore also the yield level at which E/ET reaches its minimum. This minimum E/ET level also represents the yield level above which the WP-yield relation tends to fall back to the static mode, often assumed valid over the whole yield range. A fully static mode is reached at ≈5–7 t·ha−1, which corresponds to cropping systems with a dense canopy cover (leaf area index exceeding 3 m2·m−2). Static WP is, in other words, only applicable at yield levels generating high canopy cover.

Deduction for Irrigation Expansion.

Projections of future water withdrawals for irrigation have been downscaled over the past decades as a result of an observed decline in irrigation expansion (11) and growing concerns over social impacts of large reservoir projects and needs to safeguard environmental water flows (51).

The analysis considers improvements in irrigation efficiency [the ratio (%) of consumed to withdrawn water] to separate withdrawals from actual consumptive use when estimating the contribution of irrigated agriculture to produce food. A distinction is further made between irrigation efficiency at the system level [Cs (%)] and efficiency as we understand it here, i.e., the proportion of irrigation water withdrawals that is consumed on the cropped land (the percentage of water supply contributing to crop growth, Cc). This distinction highlights two principal means of raising irrigation efficiency. The first by assuring that more of the withdrawn water reaches the rootzone (i.e., by reducing evaporation losses in storage and conveyance), which may improve system level efficiency, Cs, or keep Cs relatively constant, by increasing water available for consumption by the crop [raising the ratio of crop to system level efficiency (Cc/Cs)]. The other principal strategy is to raise the crop water uptake capacity of the irrigated cropping system (raise Cc). While Cs generally is relatively high (on the order of 70–75%), as it includes evaporative losses from reservoirs and conveyance, Cc is generally low, on the order of 30–40% (47). In this article we have assumed that Cc = 70%. This is thus an optimistic assumption. We have, however, accepted this approximation to arrive at the maximum contribution from irrigation in relation to the consumptive water use required for food production.

Ecosystem Tradeoff Analysis.

The tradeoffs between water use for food and ecosystems are analyzed by quantifying the volumes of water required to sustain terrestrial ecosystems (green water use) and aquatic ecosystems (blue water flow). These quantifications are compared with the analysis of consumptive water use for agriculture (after considering WP improvements) and availability of rainfall. Water consumed by major terrestrial biomes, i.e., forests, wetlands, and grasslands, was calculated from estimates of annual ET to sustain respective biomes (based on ref. 16) and multiplied with the land area occupied by those biomes at a country level. Rain over urban areas and deserts was considered unusable. Water consumed by irrigated crops has been taken as the withdrawal for agriculture, and the potential for irrigation expansion was estimated after leaving an unappropriated residual streamflow of 30% reserved for environmental water flows (8).

Abbreviations

FAO

Food and Agriculture Organization

UN

United Nations

MDG

Millennium Development Goals

t/ha

ton per hectare

ET

evapotranspiration

WP

water productivity.

Footnotes

This paper results from the Arthur M. Sackler Colloquium of the National Academy of Sciences, “The Role of Science in Solving the Earth's Emerging Water Problems,” held October 8–10, 2004, at the Arnold and Mabel Beckman Center of the National Academies of Sciences and Engineering in Irvine, CA. Papers from this Colloquium will be available as a collection on the PNAS web site. The complete program is available on the NAS web site at www.nasonline.org/water.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

References

  • 1.Gordon LJ, Steffen W, Jönsson BF, Folke C, Falkenmark M, Johannessen Å. Proc Natl Acad Sci USA. 2005;102:7612–7617. doi: 10.1073/pnas.0500208102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Stockholm Environment Institute. Research Report. Stockholm: Stockholm Environment Institute; 2005. [Google Scholar]
  • 3.World Bank. Reaching the Rural Poor—A Renewed Strategy for Rural Development. Washington, DC: World Bank; 2003. [Google Scholar]
  • 4.Sanchez P, Swaminathan MS. Science. 2005;307:357–359. doi: 10.1126/science.1109057. [DOI] [PubMed] [Google Scholar]
  • 5.Conway G. The Doubly Green Revolution: Food for All in the Twenty-First Century. New York: Penguin Books; 1997. [Google Scholar]
  • 6.Falkenmark M, Rockström J. Balancing Water for Humans and Nature. London: Earthscan; 2004. [Google Scholar]
  • 7.Food Agriculture Organization. FAOstat. Rome: Food and Agriculture Organization; 2006. [Google Scholar]
  • 8.Smakthin V, Revenga C, Döll P. Comprehensive Assessment Research: Report 2. Colombo, Sri Lanka: International Water Management Institute; 2004. [Google Scholar]
  • 9.Rockström J. Philos Trans R Soc London B. 2003;358:1997–2010. doi: 10.1098/rstb.2003.1400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Falkenmark M, Rockström J. J Water Resour Planning Manage. 2006;123:129–132. [Google Scholar]
  • 11.Bruinsma J, editor. Food Agriculture Organization. World Agriculture: Towards 2015/2030, An FAO Perspective. London: Earthscan; 2003. [Google Scholar]
  • 12.Rockström J, Hatibu N, Oweis T, Wani S, Barron J, Ruben C, Bruggeman A, Qiang Z, Farahani J. Comprehensive Assessment of Water Use in Agriculture. Colombo, Sri Lanka: International Water Management Institute; 2006. [Google Scholar]
  • 13.Rockström J, Falkenmark M. Crit Rev Plant Sci. 2000;19:319–346. [Google Scholar]
  • 14.Pretty J, Hine R. Safe World Research Project. Essex, UK: Univ Essex; 2001. [Google Scholar]
  • 15.Pretty JN, Morison JIL, Hine RE. Agric Ecosyst Environ. 2003;95:217–234. [Google Scholar]
  • 16.Rockström J, Gordon L, Folke C, Falkenmark M, Engwall M. Conserv Ecol. 1999;3:1–28. [Google Scholar]
  • 17.Pimentel D, Houser J, Preiss E, White O, Fang H, Mesnik L, Barsky T, Tariche S, Schreck J, Alpert S. BioScience. 1997;47:97–106. [Google Scholar]
  • 18.Cai X, Rosegrant M. In: Water Productivity in Agriculture: Limits and Opportunities for Improvements. Kijne JW, Barker R, Molden D, editors. Cambridge, MA: CABI International; 2003. pp. 163–178. [Google Scholar]
  • 19.Chapagain AK, Hoekstra AY. Virtual Water Flows Between Nations in Relation to Trade in Livestock and Livestock Products. Delft, The Netherlands: United Nations Educational, Scientific and Cultural Organization-Intangible Heritage; 2003. Value of Water Resources Report Series. [Google Scholar]
  • 20.Gleick P. Water Int. 1996;21:83–92. [Google Scholar]
  • 21.Doorenbos J, Pruitt WO. Irrigation and Drainage. Rome: Food and Agriculture Organization; 1992. paper 24. [Google Scholar]
  • 22.Le Houérou H-N. In: L'Aridité: Une Contrainte au Développement. Caractérisation, Résponses Biologiques, Stratégies des Sociétés. Le Floc'h E, Grouzis A, Bille J-C, editors. Paris: Institut de Recherche et Dévéloppement; 1992. pp. 197–220. [Google Scholar]
  • 23.Postel SL. BioScience. 1998;48:629–638. [Google Scholar]
  • 24.Stewart BA, Steiner JL. In: Advances in Soil Science: Dryland Agriculture Strategies for Sustainability. Singh RP, Parr JF, Stewart BA, editors. Springer: New York; 1990. pp. 151–170. [Google Scholar]
  • 25.Oweis T, Hachum A. Agric Water Manage. 2006;80:57–73. [Google Scholar]
  • 26.Stewart JI, Misra RD, Pruitt WO, Hagan RM. Trans Am Soc Agricul Engin. 1975;18:270–280. [Google Scholar]
  • 27.Dancette C. L'Agronomie Tropicale. 1983;38:281–294. [Google Scholar]
  • 28.López-Castañeda C, Richards RA. Field Crops Res. 1994;39:85–98. [Google Scholar]
  • 29.Fischer RA, Kohn GD. Aust J Agric Res. 1966;17:281–286. [Google Scholar]
  • 30.Alessi J, Power JF. Agron J. 1976;68:547–550. [Google Scholar]
  • 31.Musick JT, Ordie RJ, Bobby AS, Donald AD. Agron J. 1994;86:980–986. [Google Scholar]
  • 32.Stewart JI, Misra RD, Pruitt WO, Hagan RM. Trans American Society of Agricultural Engineers. 1975;18:270–280. [Google Scholar]
  • 33.Pandey RK, Maraville JW, Admou A. Agric Water Manage. 2000;46:1–13. [Google Scholar]
  • 34.Rockström J, Jansson P-E, Barron J. J Hydrol. 1998;210:68–92. [Google Scholar]
  • 35.Ong CK, Odongo JCW, Marshall FM, Corlett JE. In: Tree-Crop Interactions: A Physiological Approach. Ong CK, Huxley PA, editors. Wallingford, UK: CABI; 1996. pp. 73–158. [Google Scholar]
  • 36.Shiklomanov IA. Water Int. 2000;25:11–32. [Google Scholar]
  • 37.Rosegrant MW, Cai X, Cline SA. World Water and Food to 2025: Dealing with Scarcity. Washington, DC: International Food Policy Research Institute; 2002. [Google Scholar]
  • 38.Seckler D, Amarasinghe U, Molden D, de Silva R, Barker R. World Water Demand and Supply, 1990–2025: Scenarios and Issues. Colombo, Sri Lanka: International Water Management Institute; 1998. IWMI Research Report 19. [Google Scholar]
  • 39.Food Agriculture Organization . Food and Agriculture Organization Food Balance Sheets, 1999–2001 Average. Rome: Food and Agriculture Organization; 2003. [Google Scholar]
  • 40.Millennium Ecosystem Assessment. Ecosystems and Human Well Being: Synthesis. Washington, DC: Island Press; 2005. [Google Scholar]
  • 41.World Resources Institute. World Resources 2005: The Wealth of the Poor: Managing Ecosystems to Fight Poverty. Washington, DC: World Resources Institute; 2005. [Google Scholar]
  • 42.Falkenmark M, Folke C. Hydrol Earth Syst Sci. 2002;6:1–9. [Google Scholar]
  • 43.Houghton JT, Ding Y, Griggs DJ, Noguer M, Van der Linden PJ, Dai X, Maskell K, Johnsson CA, editors. Climate Change 2001: The Scientific Basis. Cambridge, UK: Cambridge Univ. Press; 2001. [Google Scholar]
  • 44.de Wit M, Stankiewicz J. Science. 2006;311:1917–1921. doi: 10.1126/science.1119929. [DOI] [PubMed] [Google Scholar]
  • 45.International Water Management Institute. Insights from the Comprehensive Assessment of Water Management in Agriculture. Colombo, Sri Lanka: International Water Management Institute; 2006. [Google Scholar]
  • 46.Rijsberman F, Manning N. Beyond More Crop per Drop: Water Management for Food and the Environment. Colombo, Sri Lanka: International Water Management Institute; 2006. [Google Scholar]
  • 47.United Nations Educational, Scientific and Cultural Organization. United Nations World Water Development Report. Paris: United Nations Educational, Scientific and Cultural Organization; 2003. [Google Scholar]
  • 48.United Nations. The Millennium Development Goals Report. New York: United Nations; 2005. [Google Scholar]
  • 49.Novak MD. Soil Sci Soc Am J. 1982;52:916–924. [Google Scholar]
  • 50.Gregory PJ, Warren GP, Simmonds LP. Philos Trans R Soc London B. 1997;352:987–996. [Google Scholar]
  • 51.World Commission on Dams. Dams and Development: A New Framework for Decision Making. London: Earthscan; 2000. [Google Scholar]

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