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ClimDev-Africa

     Agricultural Water Management
    in the Context of Climate Change

    Tilahun Amede, Seleshi B. Awlachew, Bancy Matti,
             Seydou Traore, Muluneh Yitayew

First Climate Change and Development in Africa (CCDA-I) Conference
            Addis Ababa, Ethiopia, 17-19 October 2011




                                                                     1
CC IMPACTS: RAINFED AGRICULTURE
 Climate variability will erode the resources base, and affect
  ecosystem services : Recurrent droughts & severe floods;
 Droughts will decrease yields / productivity
 Floods may damage crops and infrastructure (irrigation, road)
 Complicate farm operations abd services;
 Fluctuations in farmers’ income: poor farmers may lack
  means to buffer extreme years
 Impact on national economy, with 90% probability




                                                         2
IMPACTS: IRRIGATED AGRICULTURE
  Glacier melt of water towers: temporary increase
   / decrease in water reserves;

 Changes in groundwater recharge ;

 Changes in timing and magnitude of river flows
  (irrigation schemes tapping directly from
  river, and storage requirements);

 Temperature effects on water productivity:
  unproductive evaporation;

 CO2 fertilization and irrigation productivity:   3
“Over the past Gada, we have lost two
months of rain. Now the rain is not
coming at the right time: it is starting
later and finishing before long. My
daughter is now five years old and she
has not seen a good harvest yet.”

                                                      4
                                           Lars Naess, 2009
Annual water balance (A) and water
withdrawal (B) of Africa and implications CC




   (UNEP, 2010)                         (UNEP, 2005)
Make Choices : Scenarios to 2050




             Today

  Without productivity
  improvements
         CA Scenario




             Policies for productivity gains, upgrading rainfed,
                     revitalized irrigation, trade
                                                              6
Based on WaterSim analysis for the CA
Upgrade rainfed agriculture
Dependence on green and blue water 2000




                                          7
Climate-smart Rainwater management
systems (RWM)
‱ Integrated strategy that enables actors to
  systematically map, capture, store and efficiently use
  Green and Blue water in a landscape for productive
  and domestic purposes and ecosystem services.
‱ Decrease unproductive water losses;
‱ Improve the water productivity (increase returns per
  unit of water investment)
‱ Capitalizes on harvesting principles, water productivity
  at various scales;
‱ Combining water management with land and
  vegetation management.                               8
Investing in Irrigation
         Investing in Irrigation

2.5                                                                               320

                           World Bank lending for
                           irrigation                                             280

2.0
                                                            Irrigated Area
                                                                                  240



                                                                                  200
1.5


                                                                                  160


1.0
                                                        Food price index          120



                                                                                  80
0.5

                                                                                  40



  0                                                                               0
      1960   1965   1970    1975   1980   1985   1990      1995   2000   Dependency effect?
                                                                           2005

                                                                                        9
Reduce water loss for climate
   change adaptation
                        Average                  % loss
                                    Loss                  % loss/
Canal type        N     flow rate                per
                                    (l/s/100m)            100m/30l/s
                        (l/s)                    100m*
Main canal        121   43.21a      2.58a        6.46a    4.49b
Secondary canal   57    33.03b      1.59b        4.40b    4.00b
Field canal       49    2.88c       0.39c        2.49c    25.94a
Increased Storage Capacity for CC
adaptation; even without external support
          Comparision of Per capita Storage Capacity

                          7000                                                                                6150
                          6000
                                                                                                  4729
                          5000
 Per CapitaStorage(m^3)




                          4000                                                          3255
                          3000                                                  2486

                          2000                              1287      1406
                                                   746
                          1000
                                   4       43
                            0
                                 Kenya   E opia
                                          thi     South    T land
                                                            hai       Laos      China   Brazil   Australia    North
                                                  Africa                                                     America
                                                                    Countries




                                                                                                                       11
Micro dose                      8
                                 0
                                 7
                                 0
                                 6
                                 0
                                 5
                                 0
                                 4
                                 0
                                             Fm
                                             a C
                                              r


                                 3
                                 0
                                 4




              Tuberyield(t/ha)
                                 3
                                 2
                                 1
                                 0
                                 2
                                 4
                                 2
                                 1
                                 1
                                 8           Fm
                                             a B
                                              r
                                 1
                                 5
                                 1
                                 2
                                 4




              Tuberyield(t/ha)
                                 3
                                 2




Zai
                                 1
                                 8
                                 0
                                 0
                                 7
                                 0
                                 6
                                 0          Fm
                                            a A
                                             r
                                 5
                                 0
                                 4
                                 0
              Tuberyield(t/ha)
                                 1
                                 2
                                 8
                                 4
                                 0
                                                            12
                                 30 N

                                 30 N

                                 30 N
                                 60N
                                   N

                                 60N
                                   N

                                 60N
                                   N
                                   0

                                   0

                                   0
                                     C to
                                     o rl
                                      n     Wo Z
                                            ih t a
                                             t u i   W Z
                                                     ih a
                                                      t i
Improve Livestock Systems for CC adaptation
     Improve feed quality; reduce
      methane emissions
     Integrate livestock into the wider
      development agenda (e.g.
      irrigation; watershed
      management);
     Developing watering points in
      closer distances (> 35% milk
      yield);
     Limit conversion of range to annual
      croplands;
     Improve animal management
      (health, feed quality, productivity);
     Interventions to maximize
      transpiration at the expense of
      evaporation (feed);
     Incentives for adaptation (Value
      addition/ market opportunities) of
Convert unproductive water to productive use for
                                     CC adaptation
                    High unproductive water losses = Low system productivity;



                                         Kuhar Michael - all cropland                                                                      Lenche Dima - all cropland


                    1800                                                                                              3000

                    1600
                                                                                                                      2500
                    1400
flows per HH (m3)




                                                                                                  flows per HH (m3)
                    1200                                                                                              2000

                    1000                                                              livestock                                                                                         livestock
                                                                                                                      1500
                     800                                                              crops                                                                                             crops

                     600                                                                                              1000

                     400
                                                                                                                      500
                     200

                      0                                                                                                 0
                                                                        percolation
                           evaporation




                                               transpiration




                                                                                                                             evaporation




                                                                                                                                                transpiration




                                                                                                                                                                         percolation
                                                               runoff




                                                                                                                                                                runoff
                                                                           deep




                                                                                                                                                                            deep
                                                                                                                                                                                       14
Building Adaptive capacity on local experiences
..
                  ‱ Building on byelaws/ religious
                    organizations/ Water User
                    Associations

                  ‱ Facilitate information flow /
                    technologies using local
                    channels

                  ‱ Local institutions for collective
                    action: Upstream-downstream

                  ‱ Commitment from local
                    authorities and policy makers

                  ‱ Home gardens; women             15
Box 1: Majaluba for Rice                    Box 2. Small scale irrigation in
Production in Shinyanga, Tanzania           Ethiopia
 In Tanzania, farmers excavated            SSI in four administrative regions of
bunded basins, locally known as             Ethiopia,
‘majaluba’ which hold rainwater for
supplemental irrigation of crops in          Crop yield under irrigation was
ASAL regions;                               higher by at least 35% compared to
                                            non-irrigated farms;
 About 35% of the rice in TZ is
produced this way under smallholder          Benefits higher in farms where
farming Shinyanga, Dodoma, Tabora           external inputs (fertilizer, improved
and the Lake Regions;                       seeds and pesticides) were used;
 Majaluba utilize direct rainfall and       Farmers replaced low yielding
runoff    harvesting   from      external   varieties by high yielding maize
catchments;                                 cultivars;
 Generally,     rice     yields      are    Shifted     towards     diverse
higher, attaining 3.43 t ha-1 with the      cropping, up to 10 new marketable
use of harvested water for irrigation as    crops;
compared to 2.17 t ha-1 ;
                                             The real challenge: improving
 These systems have increased
                                            irrigation efficiency, creating local
household incomes by 67%.;
                                            capacity and collective action with
 Augment       by    other      storage    local communities;              16
infrastructures
Key messages for CC adaptation:
1.    Investing in water storage at landscape and higher
     scales (reservoirs, strategic dams, ground water etc..);

2. Policy geared towards climate-sensitive systems
   (Agriculture / wetlands / water towers) and vulnerable
   communities;

3. Cross-boundary hydrological planning /management;
   drought and flood monitoring and information system;
   coping strategies;

4. Improving rainwater management systems, from
   capturing to efficient utilization and resilience;
                                                            17
5. Responsive research system along with resources for
Tilahun Amede
           CPWF Nile Basin Leader
           t.amede@cgiar.org

A CGIAR Challenge Programme Water for Food (CPWF)
aims to increase water productivity and resilience of
social and ecological systems



 Thank you !

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Agricultural Water Management Strategies for Climate Adaptation

  • 1. ClimDev-Africa Agricultural Water Management in the Context of Climate Change Tilahun Amede, Seleshi B. Awlachew, Bancy Matti, Seydou Traore, Muluneh Yitayew First Climate Change and Development in Africa (CCDA-I) Conference Addis Ababa, Ethiopia, 17-19 October 2011 1
  • 2. CC IMPACTS: RAINFED AGRICULTURE  Climate variability will erode the resources base, and affect ecosystem services : Recurrent droughts & severe floods;  Droughts will decrease yields / productivity  Floods may damage crops and infrastructure (irrigation, road)  Complicate farm operations abd services;  Fluctuations in farmers’ income: poor farmers may lack means to buffer extreme years  Impact on national economy, with 90% probability 2
  • 3. IMPACTS: IRRIGATED AGRICULTURE  Glacier melt of water towers: temporary increase / decrease in water reserves;  Changes in groundwater recharge ;  Changes in timing and magnitude of river flows (irrigation schemes tapping directly from river, and storage requirements);  Temperature effects on water productivity: unproductive evaporation;  CO2 fertilization and irrigation productivity: 3
  • 4. “Over the past Gada, we have lost two months of rain. Now the rain is not coming at the right time: it is starting later and finishing before long. My daughter is now five years old and she has not seen a good harvest yet.” 4 Lars Naess, 2009
  • 5. Annual water balance (A) and water withdrawal (B) of Africa and implications CC (UNEP, 2010) (UNEP, 2005)
  • 6. Make Choices : Scenarios to 2050 Today Without productivity improvements CA Scenario Policies for productivity gains, upgrading rainfed, revitalized irrigation, trade 6 Based on WaterSim analysis for the CA
  • 7. Upgrade rainfed agriculture Dependence on green and blue water 2000 7
  • 8. Climate-smart Rainwater management systems (RWM) ‱ Integrated strategy that enables actors to systematically map, capture, store and efficiently use Green and Blue water in a landscape for productive and domestic purposes and ecosystem services. ‱ Decrease unproductive water losses; ‱ Improve the water productivity (increase returns per unit of water investment) ‱ Capitalizes on harvesting principles, water productivity at various scales; ‱ Combining water management with land and vegetation management. 8
  • 9. Investing in Irrigation Investing in Irrigation 2.5 320 World Bank lending for irrigation 280 2.0 Irrigated Area 240 200 1.5 160 1.0 Food price index 120 80 0.5 40 0 0 1960 1965 1970 1975 1980 1985 1990 1995 2000 Dependency effect? 2005 9
  • 10. Reduce water loss for climate change adaptation Average % loss Loss % loss/ Canal type N flow rate per (l/s/100m) 100m/30l/s (l/s) 100m* Main canal 121 43.21a 2.58a 6.46a 4.49b Secondary canal 57 33.03b 1.59b 4.40b 4.00b Field canal 49 2.88c 0.39c 2.49c 25.94a
  • 11. Increased Storage Capacity for CC adaptation; even without external support Comparision of Per capita Storage Capacity 7000 6150 6000 4729 5000 Per CapitaStorage(m^3) 4000 3255 3000 2486 2000 1287 1406 746 1000 4 43 0 Kenya E opia thi South T land hai Laos China Brazil Australia North Africa America Countries 11
  • 12. Micro dose 8 0 7 0 6 0 5 0 4 0 Fm a C r 3 0 4 Tuberyield(t/ha) 3 2 1 0 2 4 2 1 1 8 Fm a B r 1 5 1 2 4 Tuberyield(t/ha) 3 2 Zai 1 8 0 0 7 0 6 0 Fm a A r 5 0 4 0 Tuberyield(t/ha) 1 2 8 4 0 12 30 N 30 N 30 N 60N N 60N N 60N N 0 0 0 C to o rl n Wo Z ih t a t u i W Z ih a t i
  • 13. Improve Livestock Systems for CC adaptation  Improve feed quality; reduce methane emissions  Integrate livestock into the wider development agenda (e.g. irrigation; watershed management);  Developing watering points in closer distances (> 35% milk yield);  Limit conversion of range to annual croplands;  Improve animal management (health, feed quality, productivity);  Interventions to maximize transpiration at the expense of evaporation (feed);  Incentives for adaptation (Value addition/ market opportunities) of
  • 14. Convert unproductive water to productive use for CC adaptation High unproductive water losses = Low system productivity; Kuhar Michael - all cropland Lenche Dima - all cropland 1800 3000 1600 2500 1400 flows per HH (m3) flows per HH (m3) 1200 2000 1000 livestock livestock 1500 800 crops crops 600 1000 400 500 200 0 0 percolation evaporation transpiration evaporation transpiration percolation runoff runoff deep deep 14
  • 15. Building Adaptive capacity on local experiences .. ‱ Building on byelaws/ religious organizations/ Water User Associations ‱ Facilitate information flow / technologies using local channels ‱ Local institutions for collective action: Upstream-downstream ‱ Commitment from local authorities and policy makers ‱ Home gardens; women 15
  • 16. Box 1: Majaluba for Rice Box 2. Small scale irrigation in Production in Shinyanga, Tanzania Ethiopia  In Tanzania, farmers excavated SSI in four administrative regions of bunded basins, locally known as Ethiopia, ‘majaluba’ which hold rainwater for supplemental irrigation of crops in  Crop yield under irrigation was ASAL regions; higher by at least 35% compared to non-irrigated farms;  About 35% of the rice in TZ is produced this way under smallholder  Benefits higher in farms where farming Shinyanga, Dodoma, Tabora external inputs (fertilizer, improved and the Lake Regions; seeds and pesticides) were used;  Majaluba utilize direct rainfall and  Farmers replaced low yielding runoff harvesting from external varieties by high yielding maize catchments; cultivars;  Generally, rice yields are  Shifted towards diverse higher, attaining 3.43 t ha-1 with the cropping, up to 10 new marketable use of harvested water for irrigation as crops; compared to 2.17 t ha-1 ;  The real challenge: improving  These systems have increased irrigation efficiency, creating local household incomes by 67%.; capacity and collective action with  Augment by other storage local communities; 16 infrastructures
  • 17. Key messages for CC adaptation: 1. Investing in water storage at landscape and higher scales (reservoirs, strategic dams, ground water etc..); 2. Policy geared towards climate-sensitive systems (Agriculture / wetlands / water towers) and vulnerable communities; 3. Cross-boundary hydrological planning /management; drought and flood monitoring and information system; coping strategies; 4. Improving rainwater management systems, from capturing to efficient utilization and resilience; 17 5. Responsive research system along with resources for
  • 18. Tilahun Amede CPWF Nile Basin Leader t.amede@cgiar.org A CGIAR Challenge Programme Water for Food (CPWF) aims to increase water productivity and resilience of social and ecological systems Thank you !