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Global drivers TWG
             By Simon Cook
 Chiang Mai, Thailand – September 2011
Overview
• Background insights form BFPs
• Rationale: Why we need to know about GDs
• Framework: How to organize info
Background from the
BFPs and elsewhere
The basin focal projects
• A global picture in 10 basins, LAC (2), Africa(4)
  and Asia(4)
• Diverse conditions
  – Biophysical, economic, political
• 10 teams, multi-disciplinary
• Started looking for water poverty
  – …ended up defining inter-related systems of
    water, food and development
Simple story:
• River basins provide a diversity of ecosystem services:
   – provisioning regulating…
• Most of these are understood individually, to a degree
   – Food systems, hydrology, environmental
     flows, aquaculture….
• Societies exploit these ES as they develop
   – Appropriate, invest, exchange, ruin…
• …development is influenced BY ESs …development
  modifies ESs.
• This represents opportunities and risks
Put another way…
1 Hydrology matters
    Water: a fundamental but uncertain resource
                                     Dry season flow (mcm/cap)
0.0014



0.0012



 0.001



0.0008



0.0006



0.0004



0.0002



    0
         Ganges   Indus    Karkheh    Limpopo   Mekong   Niger   Nile   Sao Fran.   Volta   Yellow

  From CSIRO analysis
Distribution
varies widely
Nile
• Egypt needs every
  drop [from Ethiopia]
Ganges
• Uncontrolled groundwater use
                                   GW pumps in Indus-
                                   Ganges basin




 Photos: Fred Pearce
                                 Map: Sharma et al, 2009
Mekong   In most places this flood would be a
         problem…..
To these people, flood = fish
But no simple link of water with poverty
                      5,000




                      4,000                                                                        Bangladesh
                                                                                                   Bolivia
                                                                                                   Brazil
                      3,000
      GNI ($US/cap)




                                                                                                   Burkina Faso
                                                                                                   China
                                                                                                   Colombia
                      2,000                                                                        Egypt, Arab Rep.
                                                                                                   Ethiopia
                                                                                                   India
                      1,000                                                                        Thailand
                                                                                                   Vietnam
                                                                                                   World
                         0
                        0.00E+00   2.00E-05      4.00E-05     6.00E-05       8.00E-05   1.00E-04
                                              Water availability (km3/cap)
…even in very dry areas
                5,000




                4,000
                                                                                             Bangladesh
                                                                                             Bolivia
                                                                                             Brazil
                3,000
GNI ($US/cap)




                                                                                             Burkina Faso
                                                                                             China
                                                                                             Colombia
                2,000                                                                        Egypt, Arab Rep.
                                                                                             Ethiopia
                                                                                             India
                1,000                                                                        Thailand
                                                                                             Vietnam
                                                                                             World
                   0
                  0.00E+00   1.00E-06      2.00E-06     3.00E-06       4.00E-06   5.00E-06
                                        Water availability (km3/cap)
2 Water productivity very low over
           most areas

   Wpr (estimated potential)


                                           YR
                                   IGB
                                  Mekong
                      Nile
                  Limpopo
          Volta                Niger
3 Institutions are key
Sao Francisco basin
2 worlds..haves and have-nots
Limpopo




      These farmers have access to water
These farmers do not …
4 Basins move along a development
            trajectory
         Niger




                                                Agriculture as % of GDP
       Volta
          Nile

      Limpopo IGB


         Mekong
                    Karkheh
                 Yellow
                              Andes
                                São Francisco




               Income
            Rural poverty
…so the major issues vary according to position [as well as
                                   ecosystem entitlements]

                                              Niger

                                      Agriculture only
Agriculture as % of GDP




                                      Extreme poverty
                            Low WR development (no irrigation)
                                             Volta
                                   Complex LLH support
                             (Livestock and fish Nile dominate)
                                                 may

                                            Limpopo IGB
                                              Some sectors moving
                                                Pressure on others
                                             Agriculture ‘left behind?’
                                               Mekong
                                       Yellow Increased vulnerability
                                                         Karkheh
                                                                            Markets very active
                                                                           Rural poor in pockets
                                                                                  Andes
                                                                          Improved potential Sao Fran
                                                                                              for
                                                                           ecosystem services



                                             Rural poverty
Agriculture
contribution to GDP
(%)                                   ....Problems...




                      Gross National Income
Agriculture
contribution to GDP
(%)                                                            ... Opportunities
                                              Basics need

                                                             Meeting urgent
                                                             demand growth           Emerging need for
                                                                                       sustainability




    Increasing Role for
    Institutions      Providing basics                    Big invest in agric.
                    Protecting existing support      Resource-sharing & protection    Benefit-sharing (trading)
                    Invest in agricultural basics     Developing pathways out of       Demand management
                                                                farming              Supply-chain management




                                        Gross National Income
A look at some of the drivers:
                                                                      General economic growth
                                                80
                                                                                                                                     Burkina Faso
                                                                                                       General
                                                70               Ethiopia and                          direction                     Bangladesh
Contribution of agriculture to GDP growth (%)




                                                                 Burkina Faso
                                                                 in agricultural
                                                                                                                                     Bolivia
                                                60               phase of                                                            Brazil
                                                                 development
                                                                                                                                     India
                                                50                                                                                   Ethiopia
                                                                                   India and
                                                                                   Bangladesh
                                                40                                 transitioning
                                                                                   to higher
                                                                                   value
                                                30                                 activities

                                                                                                                                               Brazil strong growth in the 60’s
                                                                                                                                               and in recent years to emerge as
                                                20                                                                                             an industrial economy

                                                                                   Bolivia emerging
                                                10                                 slowly after
                                                                                   decades of low


                                                 0
                                                     0     500               1,000             1,500         2,000        2,500   3,000           3,500            4,000          4,500
                                                                                                   Per capita GNI (US$)
Population




Data from
CIESIN
Data from
CIESIN
GCC Crop Impacts for African Countries      PRELIMINARY RESULTS
                 15.00


                                                                                                       GCC
                 10.00                                                                                 Major new
                                                                                                       uncertainty

                  5.00



                                                                                                       Oats
                  0.00
                                                                                                       Potato
                          Ethiopia            Kenya            Niger          Senegal
                                                                                                       Bean, Common
Crop Loss/Gain




                                                                                                       Wheat, common
                  -5.00
                                                                                                       Barley
                                                                                                       Maize
                                                                                                       Cacao
                 -10.00
                                                                                                       Sorghum (low altitude)
                                                                                                       Perennial soybean


                 -15.00




                 -20.00




                 -25.00
                                                             Countries                                  From Ramirez et
                                                                                                        al, 2011
From Sharma et al, 2010
Rationale: why analyze global drivers?
Rationale: why define global drivers?

3 good reasons to study GDs        3 good reasons not to
• Widespread influence             • Uncertain relevance
   – helps understand global          – “Does it really matter to the
     importance of what is known        BDC?”
     in basins                     • Additional complexity
• GDs influence BDCs                  – Some models seem to have a
   – Reduce some uncertainty            life of their own
• Changes in BDCs may              • Difficult to combine
  represent responses of             multiple concepts
  regional / global importance        – Quant/qual…mutliple
   – Is PES a ‘global’ solution?        objective…
Framework:
Organizing ideas about global drivers
Framework
                   relevance
      Drivers                             Basins




   Is development in Basins affected by global drivers?

Do BDCs support change of regional or global importance?
Framework:
      Concepts



1 Analyze         2 Identify
drivers:          responses to
•Population       drivers in basins
•Economic         •Scenarios…
•GCC              •Learning
•Political        processes
•Techno...        •Changes



       3 Relate to system
           resilience
Framework
       Impacts and change
       3 places we can help

                       Drivers act on river
                         basin systems



      Change
                                              Consequences realized
Basin charateristics



                           Response
                         [Innovation?]
Framework: Identifying targets
                 Problematic      Institutions     Instruments     Science
                 behaviours
Uncertainty      Ignorance        Families         Norms           Situation
                                                                   analysis
                 Cannot           Farmer           Regulations
                 manage           organizations                    Scenario
                 variability                       Policy (e.g.    analysis
Cognitive        Unable to        Supply chain     food, water
problems         agree            actors           security)       Technology
                                                   Law
                                  Municipalities                   System
Lack of motive   Short-termism                     Valuation       analysis/design
for change                        Ministries
                 Local only                        Micro-finance
Lack of          Can’t invest                      Micro-ins
capacity         Can’t organize
                                                   Supply chains
Framework: Identifying targets
                 Problematic      Institutions     Instruments     Science
                 behaviours
Uncertainty      Ignorance        Families         Norms           Situation
                                                                   analysis
                 Cannot           Farmer           Regulations
                 manage           organizations                    Scenario
                 variability                       Policy (e.g.    analysis
Cognitive        Unable to        Supply chain     food, water
problems         agree            actors           security)       Technology
                                                   Law
                                  Municipalities                   System
Lack of motive   Short-termism                     Valuation       analysis/design
for change                        Ministries
                 Local only                        Micro-finance
Lack of          Can’t invest                      Micro-ins
capacity         Can’t organize
                                      Linking components to enable
                                               Supply chains
                                      CHANGE
Framework
                          Process
• First ideas
   – Draft (very rough) – done
• Workshop (now!)
   – to expand concepts
• Re-draft framework, reorganize
• Forum
   – Present ideas to a broader audience
• Re-draft framework
   – Present to CPMT. Decide how to proceed
Agenda for next 3 days
• Information sharing:
  – “Basins meet GDs, GDs meet basins.”
• Future scenarios for basins
  – Let your mind run free for a few hours
• Putting GDs in the CPWF harness
  – “This is all very interesting. What does it mean for
    the CPWF?”

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Introduction to Global Drivers (CPWF GD-TWG workshop, September 2011)

  • 1. Global drivers TWG By Simon Cook Chiang Mai, Thailand – September 2011
  • 2. Overview • Background insights form BFPs • Rationale: Why we need to know about GDs • Framework: How to organize info
  • 3. Background from the BFPs and elsewhere
  • 4. The basin focal projects • A global picture in 10 basins, LAC (2), Africa(4) and Asia(4) • Diverse conditions – Biophysical, economic, political • 10 teams, multi-disciplinary • Started looking for water poverty – …ended up defining inter-related systems of water, food and development
  • 5. Simple story: • River basins provide a diversity of ecosystem services: – provisioning regulating… • Most of these are understood individually, to a degree – Food systems, hydrology, environmental flows, aquaculture…. • Societies exploit these ES as they develop – Appropriate, invest, exchange, ruin… • …development is influenced BY ESs …development modifies ESs. • This represents opportunities and risks
  • 7. 1 Hydrology matters Water: a fundamental but uncertain resource Dry season flow (mcm/cap) 0.0014 0.0012 0.001 0.0008 0.0006 0.0004 0.0002 0 Ganges Indus Karkheh Limpopo Mekong Niger Nile Sao Fran. Volta Yellow From CSIRO analysis
  • 9. Nile • Egypt needs every drop [from Ethiopia]
  • 10. Ganges • Uncontrolled groundwater use GW pumps in Indus- Ganges basin Photos: Fred Pearce Map: Sharma et al, 2009
  • 11.
  • 12. Mekong In most places this flood would be a problem…..
  • 13. To these people, flood = fish
  • 14. But no simple link of water with poverty 5,000 4,000 Bangladesh Bolivia Brazil 3,000 GNI ($US/cap) Burkina Faso China Colombia 2,000 Egypt, Arab Rep. Ethiopia India 1,000 Thailand Vietnam World 0 0.00E+00 2.00E-05 4.00E-05 6.00E-05 8.00E-05 1.00E-04 Water availability (km3/cap)
  • 15. …even in very dry areas 5,000 4,000 Bangladesh Bolivia Brazil 3,000 GNI ($US/cap) Burkina Faso China Colombia 2,000 Egypt, Arab Rep. Ethiopia India 1,000 Thailand Vietnam World 0 0.00E+00 1.00E-06 2.00E-06 3.00E-06 4.00E-06 5.00E-06 Water availability (km3/cap)
  • 16. 2 Water productivity very low over most areas Wpr (estimated potential) YR IGB Mekong Nile Limpopo Volta Niger
  • 17. 3 Institutions are key Sao Francisco basin 2 worlds..haves and have-nots
  • 18. Limpopo These farmers have access to water
  • 19. These farmers do not …
  • 20. 4 Basins move along a development trajectory Niger Agriculture as % of GDP Volta Nile Limpopo IGB Mekong Karkheh Yellow Andes São Francisco Income Rural poverty
  • 21. …so the major issues vary according to position [as well as ecosystem entitlements] Niger Agriculture only Agriculture as % of GDP Extreme poverty Low WR development (no irrigation) Volta Complex LLH support (Livestock and fish Nile dominate) may Limpopo IGB Some sectors moving Pressure on others Agriculture ‘left behind?’ Mekong Yellow Increased vulnerability Karkheh Markets very active Rural poor in pockets Andes Improved potential Sao Fran for ecosystem services Rural poverty
  • 22. Agriculture contribution to GDP (%) ....Problems... Gross National Income
  • 23. Agriculture contribution to GDP (%) ... Opportunities Basics need Meeting urgent demand growth Emerging need for sustainability Increasing Role for Institutions Providing basics Big invest in agric. Protecting existing support Resource-sharing & protection Benefit-sharing (trading) Invest in agricultural basics Developing pathways out of Demand management farming Supply-chain management Gross National Income
  • 24. A look at some of the drivers: General economic growth 80 Burkina Faso General 70 Ethiopia and direction Bangladesh Contribution of agriculture to GDP growth (%) Burkina Faso in agricultural Bolivia 60 phase of Brazil development India 50 Ethiopia India and Bangladesh 40 transitioning to higher value 30 activities Brazil strong growth in the 60’s and in recent years to emerge as 20 an industrial economy Bolivia emerging 10 slowly after decades of low 0 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 Per capita GNI (US$)
  • 27. GCC Crop Impacts for African Countries PRELIMINARY RESULTS 15.00 GCC 10.00 Major new uncertainty 5.00 Oats 0.00 Potato Ethiopia Kenya Niger Senegal Bean, Common Crop Loss/Gain Wheat, common -5.00 Barley Maize Cacao -10.00 Sorghum (low altitude) Perennial soybean -15.00 -20.00 -25.00 Countries From Ramirez et al, 2011
  • 28. From Sharma et al, 2010
  • 29. Rationale: why analyze global drivers?
  • 30. Rationale: why define global drivers? 3 good reasons to study GDs 3 good reasons not to • Widespread influence • Uncertain relevance – helps understand global – “Does it really matter to the importance of what is known BDC?” in basins • Additional complexity • GDs influence BDCs – Some models seem to have a – Reduce some uncertainty life of their own • Changes in BDCs may • Difficult to combine represent responses of multiple concepts regional / global importance – Quant/qual…mutliple – Is PES a ‘global’ solution? objective…
  • 32. Framework relevance Drivers Basins Is development in Basins affected by global drivers? Do BDCs support change of regional or global importance?
  • 33. Framework: Concepts 1 Analyze 2 Identify drivers: responses to •Population drivers in basins •Economic •Scenarios… •GCC •Learning •Political processes •Techno... •Changes 3 Relate to system resilience
  • 34. Framework Impacts and change 3 places we can help Drivers act on river basin systems Change Consequences realized Basin charateristics Response [Innovation?]
  • 35. Framework: Identifying targets Problematic Institutions Instruments Science behaviours Uncertainty Ignorance Families Norms Situation analysis Cannot Farmer Regulations manage organizations Scenario variability Policy (e.g. analysis Cognitive Unable to Supply chain food, water problems agree actors security) Technology Law Municipalities System Lack of motive Short-termism Valuation analysis/design for change Ministries Local only Micro-finance Lack of Can’t invest Micro-ins capacity Can’t organize Supply chains
  • 36. Framework: Identifying targets Problematic Institutions Instruments Science behaviours Uncertainty Ignorance Families Norms Situation analysis Cannot Farmer Regulations manage organizations Scenario variability Policy (e.g. analysis Cognitive Unable to Supply chain food, water problems agree actors security) Technology Law Municipalities System Lack of motive Short-termism Valuation analysis/design for change Ministries Local only Micro-finance Lack of Can’t invest Micro-ins capacity Can’t organize Linking components to enable Supply chains CHANGE
  • 37. Framework Process • First ideas – Draft (very rough) – done • Workshop (now!) – to expand concepts • Re-draft framework, reorganize • Forum – Present ideas to a broader audience • Re-draft framework – Present to CPMT. Decide how to proceed
  • 38. Agenda for next 3 days • Information sharing: – “Basins meet GDs, GDs meet basins.” • Future scenarios for basins – Let your mind run free for a few hours • Putting GDs in the CPWF harness – “This is all very interesting. What does it mean for the CPWF?”