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Stakeholder Engagement in Low Emission Development Projects Julie Nash PhD. Project Leader Low Emissions Agriculture and Food Security July 1, 2015

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7/8/15 1

Stakeholder  Engagement    in  Low  Emission  Development  Projects  

Julie  Nash  PhD.  Project  Leader-­‐  Low  Emissions  Agriculture  and  Food  Security  

July  1,  2015  

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Outline  

USAID/CCAFS  Project  Overview  

Cri8cal  Aspects  of  Stakeholder  Engagement  •  Understand  and  address  stakeholder  perspecCves  from  the  

project  beginning  •  Assess  LED  at  mulCple  scales  to  match  the  scale  of  stakeholders  •  Ensure  both  process  and  informaCon  transparency  

Constraints  And  Solu8ons  to  Achieving  Stakeholder  Engagement  

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•  AFOLU  emissions  share  was  21%  in  2010.  Agriculture  contributed  over  fiLy  percent  of  the  total  AFOLU.    

•  PopulaCon  and  dietary  paMerns  could  increase  emissions  unless  agricultural  management  pracCces  are  improved.  

•  Opportunity  to  agricultural  miCgaCon  is  significant.    

Agricultural  Emission  Mi8ga8on  

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Mission:    Food  security  and  poverty  alleviaCon  

CCAFS  and  the  CGIAR  

1.   Climate-­‐smart  technologies,  prac8ces,  and  porJolios    

2.  Climate  informa8on  services  and  climate-­‐informed  safety  nets  

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USAID/CCAFS  Collabora8on  

Office  of  Global  Climate  Change  sustainable  landscapes  program  

Developed  in  close  cooperaCon  with  the  Bureau  of  Food  Security  

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Assess  feasibility  of  priority  opCons  

PrioriCze  LED  opCons  

Project  ObjecCve  Inform  USAID  about  opportuniCes  and  approaches  for  Low  Emissions  

Development  (LED)  related  to  agriculture  and  food  security.    

Develop  long  list  of  LED  opCons  

Survey  to  gather  insights  into  the  current  emissions  of  the  USAID  agricultural  porXolio  

Synthesize  data  to  inform  USAID  LED  

opCons  related  to  agriculture  

Opportunity  Assessment  Op8on  

Synthesis  Survey  of  Prac8ces  

QualitaCve  assessment  of  LED  opCons  (CCAFS)  

Overview  of  USAID/CCAFS  Project  

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FerClizer   Agroforestry   Irrigated  Rice   Livestock    

Projects  with  Cropland  and  Livestock  MiCgaCon  OpportuniCes  

AcceleraCng  Agriculture  

ProducCvity  Project  (Bangladesh)  

FerClizer  Technology  Scaling  (Mali)  

Cereal  Systems  IniCaCve  for  South  Asia  (Bangladesh)  

Agriculture  Extension  Capacity  Building  AcCvity  (Bangladesh)  

ICRAF  Agroforestry  Program  (Mali)  

Africa  RISING  (Mali)  

3  Coffee  Projects  (Colombia)  

2  Fruit  Based  Projects  (Colombia)  

1  Cocoa  Projects  (Colombia)  

Beef  CaMle,  Dairy,  and  Sheep  Projects  

(Colombia)  

Focus  Ac8vi8es  of  Emissions  Es8ma8on  within  USAID/CCAFS  Project  

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USAID  Country  Mission  

Implemen8ng  Partners  

USAID  Washington  

Stakeholders  within  USAID/CCAFS  Project  

Farmers  

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CriCcal  aspects  of  stakeholder  engagement  in  LED  project  design  

1.  Understand  and  address  stakeholder  perspecCves  from  the  project  beginning  

2.  Assess  LED  at  mulCple  scales  to  match  the  scale  of  stakeholders  

3.  Ensure  both  process  and  informaCon  transparency  

Cri8cal  Aspects  of  Stakeholder  Engagement  

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Local  Beneficiaries  

NaConal  Development  Stakeholders  

Local  NGOs  And  Private  OrganizaCons  

InternaConal  Stakeholders  

What  are  the  opportuni8es  and  approaches  for  LED  across  

the  agricultural  sector?  

What  are  the  LED  op8ons  that  are  adapted  to  my  regional  characteris8cs  and  goals?  

What  are  the  emissions  impacts  of  our  project?    

What  are  the  impacts  on  my  farm/community?  

Understand  and  Address  Stakeholder  Perspec8ves  from  the  Project  Beginning  

Farmers  

USAID  Country  Mission  

Implemen8ng  Partners  

USAID  Washington  

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Project  Scale  What  are  the  emissions  impacts  of  

our  project?    

Farm  Scale  What  are  the  impacts  on  my  farm/  community?  

Regional/  Country  Scale  What  are  the  LED  opCons  that  are  adapted  to  my  

regional  characterisCcs  and  goals?  

Global  Scale  What  are  the  opportuniCes  and  approaches    

for  LED  across  the  agricultural  sector?  

Local  Beneficiaries  

USAID  Country  Mission  

ImplemenCng  Partners  

USAID  Washington  

Assess  LED  at  Mul8ple  Scales  to    Match  the  Scale  of  Stakeholders  

MulCple  scales  results  in  issues  with  

• Analysis  Scale  • CommunicaCng  Uncertainty  

• System  CompaCbility    

(Olander  et  al  2013)  

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Uses  project  data  (acCviCes,  locaCons)    

EsCmates  the  type  of  GHG  emiMed  and  sequestered,  over  the  projects  Cme  frame  

EX-­‐ACT  is  a  land-­‐based  accounCng  system  that  relates  acCviCes  in  the  AFOLU  sector  to  esCmate  GHG  emissions.    

Assess  LED  at  Mul8ple  Scales  to    Match  the  Scale  of  Stakeholders  

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Project  Scale    

AcceleraCng  Agriculture  ProducCvity  Project  (AAPI)-­‐  Bangladesh.  The  project  promotes  the  adopCon  of  deep  placement  of  Urea  and  alternate  wegng  and  drying  of  rice.  

Ex-­‐Act  esCmated  the  annual  miCgaCon  impact  of  532,000  tCO2-­‐e  •  reduced  emissions  from  ferClizers  (240,000  tCO2-­‐e)  including  

both  field  level  impacts  and  lower  ferClizer  producCon,  transportaCon,  storage,  and  transfer.  

•  reduced  methane  emissions  in  AWD  rice  (292,000  tCO2-­‐e)  

Assess  LED  at  Mul8ple  Scales  to    Match  the  Scale  of  Stakeholders  

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Project  Scale  

Farm  Scale  

Regional/  Country  Scale  

Global  Scale  

LED  economic  and  social  feasibility    

Integrated  assessment  modelling  and  scenarios  (IFPRI)  

EX-­‐ACT  emissions  analyses  (FAO)  

LED  Opportunity  Assessment  

Assess  LED  at  Mul8ple  Scales  to    Match  the  Scale  of  Stakeholders  

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Ensure  both  Process  and  Informa8on  Transparency  

Transparency  is  not  only    the  availability  of  informaCon,    but  also  the  ac8ve  par8cipa8on    in  acquiring,  distribuCng,  and  creaCng  knowledge.  

Established  a  project  core  team  and  a  decision  structure  that  acCvely  involves  key  stakeholders.    

Requires  conCnuous  improvement  as  project  evolves.  

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Structured  Feedback  

Stakeholder  Par8cipa8on  

Structured  Feedback  

1

2 3

Ensure  both  Process  and  Informa8on  Transparency  

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MeeCng  to  prioriCze  LED  

opCons  (TOR  Deliverable  #4)  

Feasibility  of  LED  opCons  (TOR  Deliverable  #6)  

Workshop  on    LED  opCons  and  special  issues  

(TOR  Deliverable  #5  and  #7)  

Synthesize  Data  to  Inform  USAID  LED-­‐  agriculture  strategy    (TOR  Deliverable  #8  and  #10)  

Final  presentaCon  to  USAID  

(TOR  Deliverable  #9)  

32

1Maize  intensificaCon  and  nutrient  

management  in  Kenya  

AWD  rice  programs  in  season  

List  of  LED  OpCons  

Silvopasture    systems  in  livestock  

Ensure  both  Process  and  Informa8on  Transparency  

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Constraints  And  Solu8ons  to  Achieving  Stakeholder  Engagement  in  LED  

Improved  GHG  quan8fica8on  and  decision  making  tools  are  needed.    

•  User-­‐friendly  esCmaCon  tools  that  work  across  scales,  regions,  and  systems  

•  Dynamic  interfaces  that  not  only  achieve  informaCon  transparency  goals  but  also  engage  stakeholders  decision  making.  

•  Easily  understood  and  common  metrics  for  users  across  scales.  

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Constraints  And  Solu8ons  to  Achieving  Stakeholder  Engagement  in  LED  

Climate  objec8ves  should  be  explicitly  outlined  in  project  objec8ves  during  the  design  phase.  

We  found  that  the  engagement  of  implemenCng  partners  varied  based  on  the  stated  objecCves  of  their  project.  

•  Projects  with  stated  climate  objecCves  are  interested  in  gathering  evidence  of  their  miCgaCon  achievement.    

•  Projects  without  a  stated  climate  objecCve  are  less  engaged.  

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Constraints  And  Solu8ons  to  Achieving  Stakeholder  Engagement  in  LED  

Stakeholder  engagement  needs  strike  a  balance  between  effec8ve  communica8on  and  team  efficiency.  

The  project  team  needs  to  conCnually  weigh  the  benefits  of  group  discussion/feedback  with  the  costs  in  terms  of  Cme  and  resources.  

Nash/Ginger-­‐  Social  Processes  and  the  Environment  7/8/15 22

Thank  you!  

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Colomb,  V.,  Touchemoulin,  O.,  Bockel,  L.,  ChoMe,  J.-­‐L.,  MarCn,  S.,  Tinlot,  M.,  &  Bernoux,  M.  (2013).  SelecCon  of  appropriate  calculators  for  landscape-­‐scale  greenhouse  gas  assessment  for  agriculture  and  forestry.  Environmental  Research  LeMers,  8(1)  

CoMerrell,  R.  (1999).  Transparency,  Mass  Media,  Ideology  and  Community.  Cultural  Values,  3(4),  415.  

Freeman,  R.  E.,  Harrison,  J.  S.,  Wicks,  A.  C.,  Parmar,  B.  L.,  &  Colle,  S.  de.  (2010).  Stakeholder  Theory:  The  State  of  the  Art.  Cambridge  University  Press.  

Milne,  H,  N.,  M,  S.,  T,  R.,  M,  B.,  N,  B.,  …  E,  S.  (2012).  Methods  for  the  quanCficaCon  of  emissions  at  the  landscape  level  for  developing  countries  in  smallholder  contexts  (Report).  CGIAR  Research  Program  on  Climate  Change,  Agriculture  and  Food  Security.    

References  

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References  

Olander,  L.,  Wollenberg,  E.,  Tubiello,  F.,  &  Herold,  M.  (2013).  Advancing  agricultural  greenhouse  gas  quanCficaCon*.  Environmental  Research  LeMers,  8(1),  011002.    

Rawlins,  B.  (2008).  Give  the  Emperor  a  Mirror:  Toward  Developing  a  Stakeholder  Measurement  of  OrganizaConal  Transparency.  Journal  of  Public  RelaCons  Research,  21(1),  71–99.    

Sparrevik,  M.,  Barton,  D.  N.,  Oen,  A.  M.,  Sehkar,  N.  U.,  &  Linkov,  I.  (2011).  Use  of  mulCcriteria  involvement  processes  to  enhance  transparency  and  stakeholder  parCcipaCon  at  Bergen  Harbor,  Norway.  Integrated  Environmental  Assessment  and  Management,  7(3),  414–425.    

Tubiello,  F.  N.,  Salvatore,  M.,  Ferrara,  A.  F.,  House,  J.,  Federici,  S.,  Rossi,  S.,  …  Smith,  P.  (2015).  The  ContribuCon  of  Agriculture,  Forestry  and  other  Land  Use  acCviCes  to  Global  Warming,  1990–2012.  Global  Change  Biology,  21(7),  2655–2660.