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Developing multi-scale strategies for farming
communities to adapt to climate change in
Cambodia, Laos, Bangladesh and India
ACIAR Technical Workshop in Vientiane, 13-15 June 2012



Christian Roth, Thavone Inthavong, Seng Vang and ACCA team
ACCA Team
ACCA project started in mid 2010; 4.5 year project in four countries

CSIRO: Peter Brown, Steve Crimp, Neal Dalgliesh, Don Gaydon, Zvi Hochman, Heidi Horan,
Tanya Jakimow, Phil Kokic, Alison Laing, Uday Nidumolu, Perry Poulton, Christian Roth,
Monica Van Wensveen, Liana Williams and others
Laos: Thavone Inthavong, Khanmany Khounphonh, Guillaume Lacombe, Vanthong
Phengvichith, Silinthone Sacklokham, Pheng Sengxua, Sipaseuth, Khammone Thiravong,
Xaysathid and others
Cambodia: Philip Charlesworth, EL Sotheary, LONH Le Non, MAK Soeun, MAO Minea, SAY
Tom, SENG Vang, TOUCH Veasna and others
India: Suresh Kosaraju, Ravindra, Raji Reddy, Ratna Reddy, KK Singh, G Sreenivas,
Chiranjeevi Tallapragada and others
Bangladesh: Zainul Abedin, Hazrat Ali, Sharmin Afroz, Iqbal Khan, Mahbubur Khan,
Pranesh Kumar, Tao Li, Mamunur, Abdul Muttaleb, Harunur Rashid, Sanjida Ritu, M Sarker,
Barkat Ullah and others
Consultants: Clemens Grünbühel, John Schiller
The Project in a Nutshell
                                                                                           Outcomes




                                                                                                                         CLIMATE CHANGE
                                       Stakeholder                                Evidence based climate change
                                       engagement                                adaptation strategies at local and
                                                                                   provincial scales implemented

                               Development of adaptation                          Principles/priorities for action at
                                    design principles                            local and provincial scale applied
                                     Matching policy                             Farmers with enhanced adaptive
                               recommendations to typology                       capacity and improved livelihoods
                                based adaptation strategies
                                                                                        Limits to adaptation
                                                                                            recognised
                                          Upscaling
                                  Spatial transferability and
Climate analysis                future climate adaptability of
Characterisation of                  adaptation options
 climate variability
 Location specific
  CC projections
                                    Scenario analysis




                                                                                                                          CLIMATE VARIABILITY
                                  Understanding climate
                               sensitivity of farming systems                 On-farm research
 Seasonal climate                                                             Testing of options
                               Matching adaptation options to
     forecasting                                                             Confidence building
                                farming system typologies
Piloting of advisories                                                     More effective climate risk
    (India, Laos)                                                                management


                Model improvement                           Social research
                                                                                                    Capacity building
                  Validation in new                          Understanding
                                                                                                      Training in PAR
                   environments                            adaptive capacity
                                                                                                    Communication aids
                Testing new routines                      Household typologies
Social research
Completed adaptive capacity assessments and household typology
surveys.
 – Brown, PR, IA Khan, VR Reddy, CM Grunbuhel, CH Roth, S Afroz and T
   Chiranjeevi (2012). Self-assessment of adaptive capacity to climate change
   by small-scale farmers in Asia – A pilot evaluation. Submitted to Global
   Environmental Change
   Khan, IA and CM Grunbuhel (2011). Climate
   change and farming communities in Deltas:
   Coping with climate variability while
   adapting to Change. Technical Background
   Report - United Nations Development
   Programme: Bangkok
   Jakimow, T (in press, accepted 23 Nov
   2011). Using serious games to anticipate
   livelihood trajectories. Journal of
   Development Studies
Social research
Developed templates to map adaptation strategies and practices
against household types

Example from Cambodia: Household Type D – Koul
Characteristics                          Constraints
Canal supplementary irrigated rice       No irrigation
Large land size                          Small plots
Pond or community (lake) fishing         System highly dependent on wage labour
Commercial vegetables
Adaptation strategies & (practices)
Specialisation (aromatic rice)
Intensification of rice (double crop, mechanisation, varieties, nutrition, crop
    husbandry)
Diversification of farming system (vegetables/drip irrigation; forages + livestock?
    aquaculture in ponds)
Land consolidation
Modelling
 APSIM-ORYZA tested and validated on high quality IRRI datasets
 – Gaydon, DS, ME Probert, RJ Buresh, H Meinke, A Suriadi, A Doberman, B
   Bouman and J Timsina, 2012: Rice in cropping systems – modelling
   transitions between flooded and non-flooded soil environments. Europ. J.
   Agronomy, 39:9-24.
 – Gaydon DS, ME Probert, RJ Buresh, H Meinke and J Timsina, 2012: Modelling
   the role of algae in rice crop nutrition and soil organic carbon maintenance.
   Europ. J. Agronomy, 39:35-43.
 APSIM-ORYZA validated on new datasets generated in Cambodia
 and Bangladesh

Sufficient confidence to use APSIM-ORYZA for scenario analysis in
many rice based systems, but still need to address issues in some
environments (e.g inundation, salinity)
On-farm research - overview
Wet & dry season testing of a range of adaptation practices on-farm
to give farmers greater flexibility in responding to climate variability:

  – India: changed sowing rules for cotton and maize; critical irrigation of
    cotton doubles yields; SRI in rice.
  – Bangladesh: shorter duration and salinity tolerant rice varieties;
    cowpea and mungbeans as alternatives to dry season rice.
  – Laos: improved varieties, eg. inundation tolerant rice varieties (TDK
    sub1); improved fertiliser practices; dry seeding of rice vs.
    transplanting.
  – Cambodia: drum seeding; double cropping of two short duration rice
    crops vs. one traditional medium duration rice; fertiliser deep
    placement.
Developing rice cropping strategies - Cambodia

                                     1. Average or wet rainy season
    Rainfall




                                RICE                     Medium
               Dry season
                                 1         Short 1           Short 2
               CASH - CROPS




               1    2       3    4     5    6        7   8   9    10   11   12

                                           Month
Developing rice cropping strategies - Cambodia

                                    2. Dry rainy season
   Rainfall




                                                    2
                               RICE                     Medium
              Dry season
                                          Short 1           Short 2
              CASH - CROPS




              1    2       3    4     5    6        7   8   9    10   11   12

                                          Month
On-farm research – example Cambodia
                                         Second short duration rice growing on
 • Using a drum seeder allows earlier    second half wet season rainfall
   planting of rice compared to
   traditional transplanting, with
   labour reductions of 24 man days
   for transplanting to 2 man days
   using the drum seeder
 • This allows farmers to grow 2 short
   duration rice crops instead of one
   traditional medium duration crop,
   increasing overall annual rice
   production from ~2.5 t/ha to 4-6
   t/ha
 • Technology in early stages of
   testing; still needs some work to
   refine weed and residue
                                          Traditional medium rice still maturing
   management
Calibration of model on CARDI dataset
• Phenology of Cambodian rice varieties
• Nitrogen fertiliser transformation in paddy systems
• Daily time step met data (model input data)



     Modelled biomass


                                      Observed
     Modelled yield




                                                        Modelled pond depth
Scenario analysis – optimising planting dates




                                       29 years of met data
Generating policy impacts
•   Developed and implemented stakeholder engagement plans in
    each country; reviewed every 6 months
•   At the policy level, targeted key policy makers for regular
    briefings or workshops; production of policy briefs
      India: AP Dept. of Rural Development & Dept. of Agriculture – linking CCA
      to watershed development; Indian Meteorology Dept. – improving delivery
      and content of agroadvisories
      Bangladesh: Comprehensive Disaster Risk Management Program – using
      ACCA typology methodology to better target adaptation strategies
      Cambodia: Climate Change Dept. – ACCA to inform future CCA funding
      priorities under UNDP PPCR project; Svay Rieng Provincial Dept. of
      Agriculture – mainstream adaptation strategies into Commune Investment
      Planning
Generating community impacts
• Leverage off NGOs and their
  other development initiatives:
     India: WASSAN – roll out climate risk
     management through the Integrated
     Watershed Management Program;
     mainstream CCA into WSD
     Cambodia: IDE – use Farmer Business
     Advisor program to disseminate
     adaptation practices (one FBA
     services 100-120 farmers; CIDA and
     EU funding FBA program to train
     >1000 FBAs)
• Train extension services in Laos
  and Cambodia to disseminate
  key project techniques
Key linkages to date (ACIAR projects)
• Initial exchange between research teams in the ACCA project and
  the ACIAR rice establishment project (CSE-2009-037) and the
  ACIAR irrigation water management project (LWR-2009-046),
  particularly on direct seeding machinery and modelling capacity
• Regular interaction with the ACIAR policy project (ASEM-2009-
  023, Agricultural policies for the Mekong Region) and the socio-
  economic sub-project in the South Laos Project (CSE-2009-004),
  particularly in relation to household typologies
• Coordination of on-farm activities with the agronomic sub-project
  of the South Laos Project (CSE-2009-004)
• The SAARC project (LWR-2010-033, Capacity building in systems
  modelling) shares CSIRO personnel and is creating a critical mass
  of modelling expertise in Bangladesh
Where to from here?
• Use location specific climate projections to test impact of climate
  change on current cropping systems
• Conduct scenario analyses and future-proof current rice farming
  practices and new adaptation practices using APSIM-ORYZA
  parameterised for local environments and crop varieties
• Use the household typologies and generalised modelling to scale-
  up from case study sites
• Derive design principles and policy recommendations in
  collaboration with key stakeholders and policy makers
• Prepare for midterm review in Oct 2012

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Developing multi-scale strategies for farming communities to adapt to climate change in Cambodia, Laos, Bangladesh and India

  • 1. Developing multi-scale strategies for farming communities to adapt to climate change in Cambodia, Laos, Bangladesh and India ACIAR Technical Workshop in Vientiane, 13-15 June 2012 Christian Roth, Thavone Inthavong, Seng Vang and ACCA team
  • 2. ACCA Team ACCA project started in mid 2010; 4.5 year project in four countries CSIRO: Peter Brown, Steve Crimp, Neal Dalgliesh, Don Gaydon, Zvi Hochman, Heidi Horan, Tanya Jakimow, Phil Kokic, Alison Laing, Uday Nidumolu, Perry Poulton, Christian Roth, Monica Van Wensveen, Liana Williams and others Laos: Thavone Inthavong, Khanmany Khounphonh, Guillaume Lacombe, Vanthong Phengvichith, Silinthone Sacklokham, Pheng Sengxua, Sipaseuth, Khammone Thiravong, Xaysathid and others Cambodia: Philip Charlesworth, EL Sotheary, LONH Le Non, MAK Soeun, MAO Minea, SAY Tom, SENG Vang, TOUCH Veasna and others India: Suresh Kosaraju, Ravindra, Raji Reddy, Ratna Reddy, KK Singh, G Sreenivas, Chiranjeevi Tallapragada and others Bangladesh: Zainul Abedin, Hazrat Ali, Sharmin Afroz, Iqbal Khan, Mahbubur Khan, Pranesh Kumar, Tao Li, Mamunur, Abdul Muttaleb, Harunur Rashid, Sanjida Ritu, M Sarker, Barkat Ullah and others Consultants: Clemens Grünbühel, John Schiller
  • 3. The Project in a Nutshell Outcomes CLIMATE CHANGE Stakeholder Evidence based climate change engagement adaptation strategies at local and provincial scales implemented Development of adaptation Principles/priorities for action at design principles local and provincial scale applied Matching policy Farmers with enhanced adaptive recommendations to typology capacity and improved livelihoods based adaptation strategies Limits to adaptation recognised Upscaling Spatial transferability and Climate analysis future climate adaptability of Characterisation of adaptation options climate variability Location specific CC projections Scenario analysis CLIMATE VARIABILITY Understanding climate sensitivity of farming systems On-farm research Seasonal climate Testing of options Matching adaptation options to forecasting Confidence building farming system typologies Piloting of advisories More effective climate risk (India, Laos) management Model improvement Social research Capacity building Validation in new Understanding Training in PAR environments adaptive capacity Communication aids Testing new routines Household typologies
  • 4. Social research Completed adaptive capacity assessments and household typology surveys. – Brown, PR, IA Khan, VR Reddy, CM Grunbuhel, CH Roth, S Afroz and T Chiranjeevi (2012). Self-assessment of adaptive capacity to climate change by small-scale farmers in Asia – A pilot evaluation. Submitted to Global Environmental Change Khan, IA and CM Grunbuhel (2011). Climate change and farming communities in Deltas: Coping with climate variability while adapting to Change. Technical Background Report - United Nations Development Programme: Bangkok Jakimow, T (in press, accepted 23 Nov 2011). Using serious games to anticipate livelihood trajectories. Journal of Development Studies
  • 5. Social research Developed templates to map adaptation strategies and practices against household types Example from Cambodia: Household Type D – Koul Characteristics Constraints Canal supplementary irrigated rice No irrigation Large land size Small plots Pond or community (lake) fishing System highly dependent on wage labour Commercial vegetables Adaptation strategies & (practices) Specialisation (aromatic rice) Intensification of rice (double crop, mechanisation, varieties, nutrition, crop husbandry) Diversification of farming system (vegetables/drip irrigation; forages + livestock? aquaculture in ponds) Land consolidation
  • 6. Modelling APSIM-ORYZA tested and validated on high quality IRRI datasets – Gaydon, DS, ME Probert, RJ Buresh, H Meinke, A Suriadi, A Doberman, B Bouman and J Timsina, 2012: Rice in cropping systems – modelling transitions between flooded and non-flooded soil environments. Europ. J. Agronomy, 39:9-24. – Gaydon DS, ME Probert, RJ Buresh, H Meinke and J Timsina, 2012: Modelling the role of algae in rice crop nutrition and soil organic carbon maintenance. Europ. J. Agronomy, 39:35-43. APSIM-ORYZA validated on new datasets generated in Cambodia and Bangladesh Sufficient confidence to use APSIM-ORYZA for scenario analysis in many rice based systems, but still need to address issues in some environments (e.g inundation, salinity)
  • 7. On-farm research - overview Wet & dry season testing of a range of adaptation practices on-farm to give farmers greater flexibility in responding to climate variability: – India: changed sowing rules for cotton and maize; critical irrigation of cotton doubles yields; SRI in rice. – Bangladesh: shorter duration and salinity tolerant rice varieties; cowpea and mungbeans as alternatives to dry season rice. – Laos: improved varieties, eg. inundation tolerant rice varieties (TDK sub1); improved fertiliser practices; dry seeding of rice vs. transplanting. – Cambodia: drum seeding; double cropping of two short duration rice crops vs. one traditional medium duration rice; fertiliser deep placement.
  • 8. Developing rice cropping strategies - Cambodia 1. Average or wet rainy season Rainfall RICE Medium Dry season 1 Short 1 Short 2 CASH - CROPS 1 2 3 4 5 6 7 8 9 10 11 12 Month
  • 9. Developing rice cropping strategies - Cambodia 2. Dry rainy season Rainfall 2 RICE Medium Dry season Short 1 Short 2 CASH - CROPS 1 2 3 4 5 6 7 8 9 10 11 12 Month
  • 10. On-farm research – example Cambodia Second short duration rice growing on • Using a drum seeder allows earlier second half wet season rainfall planting of rice compared to traditional transplanting, with labour reductions of 24 man days for transplanting to 2 man days using the drum seeder • This allows farmers to grow 2 short duration rice crops instead of one traditional medium duration crop, increasing overall annual rice production from ~2.5 t/ha to 4-6 t/ha • Technology in early stages of testing; still needs some work to refine weed and residue Traditional medium rice still maturing management
  • 11. Calibration of model on CARDI dataset • Phenology of Cambodian rice varieties • Nitrogen fertiliser transformation in paddy systems • Daily time step met data (model input data) Modelled biomass Observed Modelled yield Modelled pond depth
  • 12. Scenario analysis – optimising planting dates 29 years of met data
  • 13. Generating policy impacts • Developed and implemented stakeholder engagement plans in each country; reviewed every 6 months • At the policy level, targeted key policy makers for regular briefings or workshops; production of policy briefs India: AP Dept. of Rural Development & Dept. of Agriculture – linking CCA to watershed development; Indian Meteorology Dept. – improving delivery and content of agroadvisories Bangladesh: Comprehensive Disaster Risk Management Program – using ACCA typology methodology to better target adaptation strategies Cambodia: Climate Change Dept. – ACCA to inform future CCA funding priorities under UNDP PPCR project; Svay Rieng Provincial Dept. of Agriculture – mainstream adaptation strategies into Commune Investment Planning
  • 14. Generating community impacts • Leverage off NGOs and their other development initiatives: India: WASSAN – roll out climate risk management through the Integrated Watershed Management Program; mainstream CCA into WSD Cambodia: IDE – use Farmer Business Advisor program to disseminate adaptation practices (one FBA services 100-120 farmers; CIDA and EU funding FBA program to train >1000 FBAs) • Train extension services in Laos and Cambodia to disseminate key project techniques
  • 15. Key linkages to date (ACIAR projects) • Initial exchange between research teams in the ACCA project and the ACIAR rice establishment project (CSE-2009-037) and the ACIAR irrigation water management project (LWR-2009-046), particularly on direct seeding machinery and modelling capacity • Regular interaction with the ACIAR policy project (ASEM-2009- 023, Agricultural policies for the Mekong Region) and the socio- economic sub-project in the South Laos Project (CSE-2009-004), particularly in relation to household typologies • Coordination of on-farm activities with the agronomic sub-project of the South Laos Project (CSE-2009-004) • The SAARC project (LWR-2010-033, Capacity building in systems modelling) shares CSIRO personnel and is creating a critical mass of modelling expertise in Bangladesh
  • 16. Where to from here? • Use location specific climate projections to test impact of climate change on current cropping systems • Conduct scenario analyses and future-proof current rice farming practices and new adaptation practices using APSIM-ORYZA parameterised for local environments and crop varieties • Use the household typologies and generalised modelling to scale- up from case study sites • Derive design principles and policy recommendations in collaboration with key stakeholders and policy makers • Prepare for midterm review in Oct 2012