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World Water Day: Water Cooperation
   Multidisciplinary Research Week 2013


 ‘Assessing Health, Livelihoods, Ecosystem Services
  And Poverty Alleviation In Populous Deltas (ESPA
                  Deltas project)’,

by Dr. Craig Hutton, ESPA Deltas Research Coordinator, GeoData
Institute, Geography & Environment, University of Southampton
Presented by:
Dr. Craig Hutton
ESPA Deltas Research Coordinator,
GeoData Institute,
Geography & Environment AU
University of Southampton
United Kingdom
ESPA DELTA:
Assessing Health, Livelihoods, Ecosystem Services And
        Poverty Alleviation In Populous Deltas
                  EPSA Consortium Grant
          University of Southampton (Nicholls PI)
                    University of Oxford
                      Exeter University
                     Dundee University
                       Hadley Centre
              Plymouth Marine Laboratories
         National Oceanography Centre (Liverpool)
         Plus 10 Bangladeshi partners (BUET lead)
                2 Indian partners (JU, ITTK)
                 1 Chinese partner (ECNU)




                Lecture 4. Climate change and the
              integrated coastal system. Wednesday
                           25 July 2007
Delta Population & Poverty
Threatened Deltas
Population potentially displaced by current sea-level trends to 2050




                                                        1 million
                                                        million to 50,000
                                                        50,000 to 5,000




                             Source: IPCC AR4 using data in Ericson et al. (2006)
Nile
Deltas are sinking:
Pink areas are below sea level




                                             Mahakam




       Mississippi



                                              Ganges   Indus


                                                                 Vistula




                     Mekong                             Yellow

                                 Euphrates

                                                                 CSDMS
Height above sea level
dark green       <5m
light green      <3m
pale green       < 1m




                             100 km
The Ganges-Brahmaputra-Meghna (GBN) Delta




            Population: 150 million
       World Cities: Kolkata and Dhaka
                The Sunderbans
  Water –from the Himalayas through India and
                     China
Global-Mean Sea Level
 IPCC Fourth Assessment (AR4) (2007)
Study Area
Key Ecosystems
                     Marine



                    Riverine


                    Floodplain

                     Supporting
                     Provisioning
                     Maintaining
                     Cultural


             Source: BRAC (2007)
Socio-Economic Trends
                 in the delta plain

• Growing populations;
• Rising wealth and improving health, but questions
  of inequality;
• Changing livelihoods and migration;
• Urbanisation and infrastructure expansion;
• Intensification of agriculture;
• Increasing demand for flood management;
• Increased water demand.
Research Questions

•   To understand the present relationship between ecosystem
    services and human well-being and health in the
    Bangladeshi portion of the Ganges-Brahmaputra delta.
•   To develop participatory methods to predict how these
    ecosystem services might evolve over the coming years and
    decades (up to 50 years) and their influence on human well-
    being and health under the multiple drivers of change in
    operation.
•   To analyse how policy can influence these outcomes and
    promote ecosystem services and human well-being and
    health.
•   To develop participatory methods to select robust policies
    that are effective across the range of uncertainty, including
    adaptive management approaches.
•   To test the transferability of these methods to other
    populated deltas.
Scales in Bio-physical & socio-economic models
                 100 yr
Temporal scale




                                                                                HadCM3
                                                                                                    climate

                                                                                                   catchment
                 1yr




                               Mangrove                               PRECIS
                                                                                                     delta
                                                                                   MAXTENT           other
                 1mo




                                                                                                    Social-
                                                                        Fishery                    Economic
                                          CropWat
                                    ModFlow          POLCOMs-ERSEM

                           CAESAR                                        GWAVA
                 1hr 1d




                                    HydroTrend
                                         AquaCrop   INCA
                                       FVCOM         FVCOM            FVCOM
                                        (river)      (coast)         (marine)



                          1m          10m           1km        10km               100 km
                                                                                         Spatial scale
                                                                                                              14
                          point           local           catchment regional global
Systems Dynamics: Integration of Socio-Environmental Models
 in such a way as to consider the systems impacts of
interventions and policies on socio-economic
as well as biophysical outcomes

                                             e.g Prelim.
                                             conceptualisation   Systems are combined
                                             for ESPA Deltas     to produce an integrated
                                                                 Socio-environmental approach
                                                                 with feedback and thresholds




                                                                                     15
                                         UNSW, Canberra
Socio-                      No of
Sunderban                                                   economic                     migrating      +
                                                              model                       people

                                                                                                                                           outsiders
                                                                           Wealth
                                Nutrition                                                                + Market price of
                                                    +                                                     Goods (Collector)                ?
                                                    -                                    - +
Coastal                   +                                       + -           +
fishery                    Firewood collection               Honey,                Commercial                    Market price of
                              for personal use              wax, fruits         exploitation of trees           tourist attractions
                Fish
                                   -                          meat                                          +
               Nursery                                                               -
                                                            collection
 Nutrient                                               +                   -                         Size of
  load -                                                                                           protected area
                   Water
                                                                                                 +         +
                   Quality                              +
                                            +                   +
                                       +
                                                    Mangrove                                                          +         +
                                 X                                           X
                              Biomass                 area                 Decay                                  + No of
     CO2       +             Production         +                   +
                                                                            rate                                    Tourists
                                                            -   +
 fertilisation                  rate
               +                                                                                                               -
 Temperature
                                                                                                   +
                         +                                                    Species                              No of
                                                                          density/diversity         +
              Alluvial                      Land erosion                                                           tigers       -
             deposition                                                                        +                      -
                                                                                          +             No of
Sediment                                                                                                deer
  load   +                         +                            +                    Tree ha-1
             -          Magnitude/frequency                 Sea Level Rise                                                            16
      River flow            of cyclones
Agriculture
                                                   Socio-
                                                 economic
                                                   model                  Population
                                                                           Number
                                                                                    +


                                                 Nutrition      Employment
                                                                opportunities
                                                                                     Agriculture
      Mangrove
                                                                                 +     Area
                               Pollination                 ++
                                             +
                                                         Crop
                                    X                                      X
                                  Growth               Production        Decay
                                                                    +
                    -              rate            +                      rate
         Salinity
                          +
            Nutrients                                                      - Crop
                              +
                        CO2                                                 damage           +
                    fertilisation +                  +                                           River flooding
                        Temperature          Precipitation                              +
                                                                                     High intensity
                                                                                         storm


                                                                                                                  17
Settlement
                             River          High intensity   Coastal
                           flooding         storm/cyclone    flooding
                                      +            +       +
                                            Building
                                        +                    +
                      Wealth                damage           Settlement
                                                                 size                                  Arsenic ?
                                      +                              +             +                         +
                          Young                           Working                       Elderly
              X                              X                             X                          X
             Births     Population        Maturation     Population       Aging        Population   Deaths
        +                                            +                                          +                +
                                    +                            -

    Birth rate
                                                 -                                                      Death rate

                                     Education           Migration


                                                            Socio-
                                                          economic
                                                            model



                                                         Employment
                                                         opportunities


                      Agriculture                Shrimp                                     Sunderban
                                                  farm                   Fishery                                     18
Fishery
                                                           Magnitude/frequency                Sea Level
                                                               of cyclones                      Rise
                                                                             +                   +
                  Socio-
                economic
                                                                                            Land erosion
                  model




                      Market price +             Employment                      Market price
                                                 opportunities           +
                    of fish (Collector)                                      of tourist attractions
                                                                                  (Collector)
                                             +                   +
                    Nutrition        +     Fish              No of
     Population +                                                            +
                                          capture           Tourists
      number
                            Nursery      +            ++
                                           Biomass of
           Sunderban                X                                          X
                                 Biomass Fish stock                          Mortality
                                                                     +
                                Production        +                           rate
                                   rate                                                +
                               +
                         Primary                                                    Arsenic
                  +     production
            Nutrients

                                                                                                           19
Shrimp farm
                                                                                   Settlement


                                                    Market price of
                                                   Shrimp (Collector)
                           Socio-                           +                  Building Damage
                         economic
                           model                   Population                         +
                                                    Number +              Increased likelihood
                                                                        of coastal flood defence
                                                                                 failure
                           Nutrition       Employment
                                           opportunities                       +
                                                               Shrimp farm
                                                           +       area
                                                                              +
                                    ++
                                 Shrimp
                  X                                  X                                Saline pollution
                Growth           Biomass           Mortality
                                              +                                        of freshwater
                 rate       +                       rate
            +
Nutrients

                 +
        Temperature                                                                                      20
Thank you
    http://espadeltas.geodata.soton.ac.uk
    /
World Water Day: Water Cooperation
      Multidisciplinary Research Week 2013

See the latest videos, interviews, pictures, tweets and views
from the floor at:
Website: www.southampton.ac.uk/multidisciplinary
Blog: http://blog.soton.ac.uk/multidisciplinary/tag/mdrweek/

Youtube: Search #MDRWeek

        Follow us on Twitter @Multisoton #MDRWeek

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‘Assessing Health, Livelihoods, Ecosystem Services And Poverty Alleviation In Populous Deltas (ESPA Deltas project)’, Presentation by Dr. Craig Hutton, ESPA Deltas Research Coordinator, GeoData Institute, Geography & Environment AU, University of Sou

  • 1. World Water Day: Water Cooperation Multidisciplinary Research Week 2013 ‘Assessing Health, Livelihoods, Ecosystem Services And Poverty Alleviation In Populous Deltas (ESPA Deltas project)’, by Dr. Craig Hutton, ESPA Deltas Research Coordinator, GeoData Institute, Geography & Environment, University of Southampton
  • 2. Presented by: Dr. Craig Hutton ESPA Deltas Research Coordinator, GeoData Institute, Geography & Environment AU University of Southampton United Kingdom
  • 3. ESPA DELTA: Assessing Health, Livelihoods, Ecosystem Services And Poverty Alleviation In Populous Deltas EPSA Consortium Grant University of Southampton (Nicholls PI) University of Oxford Exeter University Dundee University Hadley Centre Plymouth Marine Laboratories National Oceanography Centre (Liverpool) Plus 10 Bangladeshi partners (BUET lead) 2 Indian partners (JU, ITTK) 1 Chinese partner (ECNU) Lecture 4. Climate change and the integrated coastal system. Wednesday 25 July 2007
  • 5. Threatened Deltas Population potentially displaced by current sea-level trends to 2050 1 million million to 50,000 50,000 to 5,000 Source: IPCC AR4 using data in Ericson et al. (2006)
  • 6. Nile Deltas are sinking: Pink areas are below sea level Mahakam Mississippi Ganges Indus Vistula Mekong Yellow Euphrates CSDMS
  • 7. Height above sea level dark green <5m light green <3m pale green < 1m 100 km
  • 8. The Ganges-Brahmaputra-Meghna (GBN) Delta Population: 150 million World Cities: Kolkata and Dhaka The Sunderbans Water –from the Himalayas through India and China
  • 9. Global-Mean Sea Level IPCC Fourth Assessment (AR4) (2007)
  • 11. Key Ecosystems Marine Riverine Floodplain Supporting Provisioning Maintaining Cultural Source: BRAC (2007)
  • 12. Socio-Economic Trends in the delta plain • Growing populations; • Rising wealth and improving health, but questions of inequality; • Changing livelihoods and migration; • Urbanisation and infrastructure expansion; • Intensification of agriculture; • Increasing demand for flood management; • Increased water demand.
  • 13. Research Questions • To understand the present relationship between ecosystem services and human well-being and health in the Bangladeshi portion of the Ganges-Brahmaputra delta. • To develop participatory methods to predict how these ecosystem services might evolve over the coming years and decades (up to 50 years) and their influence on human well- being and health under the multiple drivers of change in operation. • To analyse how policy can influence these outcomes and promote ecosystem services and human well-being and health. • To develop participatory methods to select robust policies that are effective across the range of uncertainty, including adaptive management approaches. • To test the transferability of these methods to other populated deltas.
  • 14. Scales in Bio-physical & socio-economic models 100 yr Temporal scale HadCM3 climate catchment 1yr Mangrove PRECIS delta MAXTENT other 1mo Social- Fishery Economic CropWat ModFlow POLCOMs-ERSEM CAESAR GWAVA 1hr 1d HydroTrend AquaCrop INCA FVCOM FVCOM FVCOM (river) (coast) (marine) 1m 10m 1km 10km 100 km Spatial scale 14 point local catchment regional global
  • 15. Systems Dynamics: Integration of Socio-Environmental Models in such a way as to consider the systems impacts of interventions and policies on socio-economic as well as biophysical outcomes e.g Prelim. conceptualisation Systems are combined for ESPA Deltas to produce an integrated Socio-environmental approach with feedback and thresholds 15 UNSW, Canberra
  • 16. Socio- No of Sunderban economic migrating + model people outsiders Wealth Nutrition + Market price of + Goods (Collector) ? - - + Coastal + + - + fishery Firewood collection Honey, Commercial Market price of for personal use wax, fruits exploitation of trees tourist attractions Fish - meat + Nursery - collection Nutrient + - Size of load - protected area Water + + Quality + + + + Mangrove + + X X Biomass area Decay + No of CO2 + Production + + rate Tourists - + fertilisation rate + - Temperature + + Species No of density/diversity + Alluvial Land erosion tigers - deposition + - + No of Sediment deer load + + + Tree ha-1 - Magnitude/frequency Sea Level Rise 16 River flow of cyclones
  • 17. Agriculture Socio- economic model Population Number + Nutrition Employment opportunities Agriculture Mangrove + Area Pollination ++ + Crop X X Growth Production Decay + - rate + rate Salinity + Nutrients - Crop + CO2 damage + fertilisation + + River flooding Temperature Precipitation + High intensity storm 17
  • 18. Settlement River High intensity Coastal flooding storm/cyclone flooding + + + Building + + Wealth damage Settlement size Arsenic ? + + + + Young Working Elderly X X X X Births Population Maturation Population Aging Population Deaths + + + + + - Birth rate - Death rate Education Migration Socio- economic model Employment opportunities Agriculture Shrimp Sunderban farm Fishery 18
  • 19. Fishery Magnitude/frequency Sea Level of cyclones Rise + + Socio- economic Land erosion model Market price + Employment Market price opportunities + of fish (Collector) of tourist attractions (Collector) + + Nutrition + Fish No of Population + + capture Tourists number Nursery + ++ Biomass of Sunderban X X Biomass Fish stock Mortality + Production + rate rate + + Primary Arsenic + production Nutrients 19
  • 20. Shrimp farm Settlement Market price of Shrimp (Collector) Socio- + Building Damage economic model Population + Number + Increased likelihood of coastal flood defence failure Nutrition Employment opportunities + Shrimp farm + area + ++ Shrimp X X Saline pollution Growth Biomass Mortality + of freshwater rate + rate + Nutrients + Temperature 20
  • 21. Thank you http://espadeltas.geodata.soton.ac.uk /
  • 22. World Water Day: Water Cooperation Multidisciplinary Research Week 2013 See the latest videos, interviews, pictures, tweets and views from the floor at: Website: www.southampton.ac.uk/multidisciplinary Blog: http://blog.soton.ac.uk/multidisciplinary/tag/mdrweek/ Youtube: Search #MDRWeek Follow us on Twitter @Multisoton #MDRWeek