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Framework for Adapta/on and Mi/ga/on Simon Cook, Andy Jarvis, Charlo=e Lau, Julian Ramirez [[SELECTED SLIDES]]

Cook - Framework for adaptation and mitigation

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Simon Cook (CIAT) A framework for adaptation and mitigation research (presentation from CCAFS Science Workshop, December 2010)

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Page 1: Cook - Framework for adaptation and mitigation

Framework  for  Adapta/on  and  Mi/ga/on  

Simon  Cook,  Andy  Jarvis,    Charlo=e  Lau,    

Julian  Ramirez  

[[SELECTED  SLIDES]]  

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How  /mes  have  changed          2002  

IPCC  vision  s/ll  a  ma=er  of  debate:    Economist  leader:  ‘GCC  may  not  be  so  bad  because:      (a)  Some  places  are  just  too  darn  cold  and      (b)  People  like  to  go  to  warm  places  for  holiday’  

Adapta/on  seen  as  a  [agricultural]  technical  fix  

CGIAR  ac/vi/es  focussed  on  applying  exis/ng    technologies  to  a  new  problem  

Concepts  of  resilience  or  SESs  a  li=le  raw  

No  clarity  about  ‘who  to  talk  to?’  

       2010  

Adapta/on    understood  as  vital  Mul/-­‐disciplinarity  accepted  as  

‘normal’  Acceptance  of  need  to  

understand  socio-­‐ecological  systems  

S/ll  no  clarity  :  ‘who  to  talk  to?’  

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Framework  for  Adapta/on  

A.  Hazard  How  much  clearer  is  the  change?  

B.  Adapta/on    What  are  the  types  of  op/ons  open  to  agriculture  ?  

C.  Mi/ga/on  What  role  mi/ga/on?  

D.  Impediments  If  it’s  such  a  great  idea,  how  come  people  don’t  adapt?  

E.  Framework  for  targe/ng  ac/on  Looking  for  specific  behaviours,  ins/tu/ons,  ac/ons...    

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A  Hazard  

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A.  Hazard:  Temperature  

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A.  Hazard:  Temperature  

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Impact  summary  •  IGP  

–  Current  situa/on  •  “Bread  basket”  of  South  Asia,  emphasis  on  alterna/ng  wheat-­‐rice  systems  •  Overexploita/on  and  pollu/on  of  water  resources,  esp.  groundwater  •  Main  water  sources  =  SW  monsoon  and  Himalayan  rivers  •  Strong  contrast  between  ins/tu/onally-­‐supported,  highly-­‐produc/ve,  drought-­‐

threatened  West  IGP  and  low-­‐input,  less-­‐produc/ve,  flood-­‐prone  East  IGP  –  Projected  changes  

•  Increased  temperatures  will  lead  to  crop  losses,  especially  for  dominant  wheat  crop  •  Some  uncertainty/disagreement  re:  precipita/on,  but  rainfall  events  will  likely  become  

more  extreme  –  means  flooding  during  monsoons,  maybe  drought  during  winter  •  Reducing  Himalayan  glaciers  –  water  stress  long-­‐term  

–  Adapta/on  Pathways?  •  Addressing  the  yield  gap  in  Eastern  IGP  may  be  key  to  mee/ng  future  regional  food  

demand  •  Water:  Should  move  towards  regula/on  of  groundwater,  agreements  over  Indus  water,  

and  adapta/on  of  Zero  Till  and  other  water  conserva/on  measures.  

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•  West  Africa  –  Current  situa/on  

•  Low  produc/vity  •  Widespread  land  degrada/on  •  Water  stress  •  Drama/c  fluctua/ons  in  rainfall  over  mul/-­‐decadal  /me  scales,  ENSO  events  

–  Projected  changes  •  Robust  predic/ons  re:  temperature  rise  •  BUT  precipita/on  models  are  very  uncertain  –  disagreement  on  whether  WA  will  be  generally  we=er  or  drier,  though  some  consensus  that  extremes  will  increase  

•  Sea  level  rises  will  harm  coastal  agriculture  •  Shorter  growing  periods  in  the  Sahel  

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•  East  Africa  –  Current  situa/on  

•  Extreme  heterogeneity  of  climate,  topography,  agro-­‐ecosytems,  livelihoods  and  environmental  challenges  

•  Rainfall  is  rela/vely  predictable  •  (Rainfed)  freshwater  supply  already  a  poli/cal  hot  potato  

–  Projected  changes  •  No  full  consensus  re:  precipita/on,  though  majority  say  rainfall  will  increase  and  become  more  extreme  

•  Glaciers  will  melt  –  water  stress  on  fisheries,  wetlands,  shallow  rivers  •  Higher  temp  +  precip  means  highland  regions  will  experience  both  higher  incidence  of  malaria,  AND  be=er  suitability  (longer  growing  seasons,  higher  yield),  esp.  of  cereals  

•  But  overall,  region-­‐wide  food  produc/on  losses  (excep/on  may  be  Kenya)  

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-­‐25.00  

-­‐20.00  

-­‐15.00  

-­‐10.00  

-­‐5.00  

0.00  

5.00  

10.00  

15.00  

Ethiopia   Kenya   Niger   Senegal  

Crop

 Loss/Gain  

Countries  

GCC  Crop  Impacts  for  African  Countries                  PRELIMINARY  RESULTS  

Oats  

Potato  

Bean,  Common  

Wheat,  common  

Barley  

Maize  

Cacao  

Sorghum  (low  al/tude)  

Perennial  soybean  

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-­‐25.00  

-­‐20.00  

-­‐15.00  

-­‐10.00  

-­‐5.00  

0.00  

5.00  

10.00  

Burkina  Faso   Ghana   Mali   Tanzania   Uganda  

Crop

 Loss/Gain  

Countries  

GCC  Crop  Impacts  for  African  Countries  

Oats  

Potato  

Bean,  Common  

Wheat,  common  

Barley  

Maize  

Cacao  

Sorghum  (low  al/tude)  

Perennial  soybean  

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-­‐30.00  

-­‐20.00  

-­‐10.00  

0.00  

10.00  

20.00  

30.00  

40.00  

Crop

 Loss/Gain  

States  

GCC  Crop  Impacts  for  "IGP"  Countries  

Oats  

Potato  

Bean,  Common  

Wheat,  common  

Barley  

Maize  

Cacao  

Sorghum  (low  al/tude)  

Perennial  soybean  

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-­‐40.00  

-­‐30.00  

-­‐20.00  

-­‐10.00  

0.00  

10.00  

20.00  

Crop

 Loss/Gain  

States  

GCC  Crop  Impacts  for  "RIN"  States  

Oats  

Potato  

Bean,  Common  

Wheat,  common  

Barley  

Maize  

Perennial  soybean  

Cacao  

Sorghum  (low  al/tude)  

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Page 28: Cook - Framework for adaptation and mitigation

B  Adapta/on  

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Adapta/on  process  in  general  

/me  

Accept  need  for  change  

Assess  exis/ng  path  

Perceive  changed  future    

Change  

In  the  ideal  world   In  prac/ce  

Myopia  

Uncertainty  

Disagreement  

Incapacity  

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B.  Adapta/on  –  basic  op/ons  

Risk  avoidance  

•  Change  element  –  Heat,  drought  tolerant  crops,  

livestock  

•  Change  system  –  Phasing,  /ming  

•  Move  –  Upslope  –  Migrate  

Risk  management  

•  Engineer  –  Irriga/on,  flood  protec/on  

•  Hedging  –  Spread  /  reduce  investment  

•  Risk  sharing  –  Insurance  

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C  Mi/ga/on  -­‐  Adapta/on  

Risk  management  

Poten&al  examples:  ecosystem  service  payments  –  risk  manages  by  offering  immediate  financial  capital/relief,  mi&gates  by  reducing  emissions,  and  adapts  by  crea&ng  incen&ves/opportuni&es  to  diversity  away  from  just  agriculture  

Progressive    adaptaGon  

MiGgaGon  

CASE  1:  Transi/on              (win-­‐win)  

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Mi/ga/on  -­‐  Adapta/on  

Risk  management  

(coping)   ?

Example:  subsidies  that  would  lower  emissions  and  give  farmers  extra  financial  capital  to  invest  in  higher  produc&on  (risk  management  and  mi&ga&on,  but  not  significant  long-­‐term  adap&on  strategy)  

Progressive  adaptaGon  

(transforma/onal  change)  

CASE  2:  Disjointed  adapta/on                    (win-­‐win)  

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Mi/ga/on  -­‐  Adapta/on  

Risk  management  (coping)   Progressive  adaptaGon  

(transforma/ve  change)  

MiGgaGon  

Trade-­‐offs  

?  

e.g.)  Taxing  fer&lizers  and  pes&cides  –mi&gates  at  farmer’s  cost  

Trade-­‐offs  e.g.)  Occupa&onal  change  from  agricultural  to  industrial  work–    farmer  “adapts”  at  poten&al  cost  to  environment  

CASE  3:  Disjointed  adapta/on                        (no  win-­‐win)  

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D  Impediments  to  change  

•  Uncertainty  –  Ignorance:  ‘Didn’t  know  you  cared’  – Variability:    ‘Knew  you  cared,  but  not  how  much’  

•  Cogni/ve  disjoint  –  ‘Not  my  problem’    

•  Lack  of  mo/ve  –  ‘Maybe  my  problem,  put  it  with  the  others..’    

•  Lack  of  capacity  –  ‘I  know  and  I  care,  but  nothing  I  can  do’  

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D  Impediments  to  change  

•  Uncertainty  – Temporal,  metric,  structural  uncertainty    

•  Cogni/ve  disjoint  – Transla/onal  uncertain/es  (law  poli/cs  science  farming  family  

•  Lack  of  mo/ve  – Who  really  values  the  ecosystem  services?  

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Gross National Income

Agriculture contribution to GDP (%)

Most  African  basins  here  

Capacity  to  adapt  

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Gross National Income

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

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Gross National Income

Agriculture contribution to GDP (%) ...  Solu/ons  

Basics need

Meeting urgent demand growth Emerging need for

sustainability

Increasing Role for Institutions Providing basics

Protecting existing support Invest in agricultural basics

Big invest in agric. Resource-sharing & protection

Developing pathways out of farming

Benefit-sharing (trading) Demand management

Supply-chain management

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E.  Framework    

•  On  the  basis  of  exis/ng  knowledge  of  likely  impacts.....  

•  Look  for  behaviours  that  inhibit/support  change  -­‐a=ributable  to  GCC    

•  Scan  for  insGtuGons  –  the  people  doing  the  changing  

•  Look  for  ‘instruments’  of  change-­‐  things  that  will  accelerate  adapta/on  &  mi/ga/on  –  Insight,  technologies,  policy,  law...  

•  Iden/fy  how  science  will  support  /improve  the  instruments    

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E.  Framework:  Iden/fying  targets    

ProblemaGc  behaviours  

InsGtuGons   Instruments   Science  

Uncertainty  

Cogni/ve  problems  

Lack  of  mo/ve  for  change  

Lack  of  capacity  

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E.  Framework:  Iden/fying  targets    

ProblemaGc  behaviours  

InsGtuGons   Instruments   Science  

Uncertainty   Ignorance  

Cannot  manage  variability  

Families  

Farmer  organiza/ons  

Supply  chain  actors  

Municipali/es  

Ministries  

Norms  

Regula/ons  

Policy  (e.g.  food,  water  security)  Law  

Valua/on  

Micro-­‐finance  Micro-­‐ins  

Supply  chains  

Situa/on  analysis  

Scenario  analysis  

Technology    

System  analysis/design  

Cogni/ve  problems  

Unable  to  agree  

Lack  of  mo/ve  for  change  

Short-­‐termism  

Local  only  

Lack  of  capacity   Can’t  invest  Can’t  organize  

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E.  Framework:  Iden/fying  targets    

ProblemaGc  behaviours  

InsGtuGons   Instruments   Science  

Uncertainty   Ignorance  

Cannot  manage  variability  

Families  

Farmer  organiza/ons  

Supply  chain  actors  

Municipali/es  

Ministries  

Norms  

Regula/ons  

Policy  (e.g.  food,  water  security)  Law  

Valua/on  

Micro-­‐finance  Micro-­‐ins  

Supply  chains  

Situa/on  analysis  

Scenario  analysis  

Technology    

System  analysis/design  

Cogni/ve  problems  

Unable  to  agree  

Lack  of  mo/ve  for  change  

Short-­‐termism  

Local  only  

Lack  of  capacity   Can’t  invest  Can’t  organize  

Linking  components  to  enable    Ecosystem  services  

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Final  word:  Why  a  framework  is  needed  •  CP  Water  and  food    

–  Started  2002.    •  Big  fanfare,  simple  story  ‘More  crop  per  drop’.    •  Funding  shornall;  strategic  work  suspended.  Many  disconnected  projects.  

–  2003/4  CGIAR  Science  Council:  ‘Get  focus’  –  2004/5  Strategic  research  (BFPs)  ini/ated  –  2007  Phase  II  planned  –  2009  BFPs  completed    –  2010  Water  &  Soil  MP  proposed.  CPWF  not  leading  it.  

•  Lessons?