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Monitoring,	
  repor,ng	
  and	
  verifica,on	
  
in	
  NAMAs	
  using	
  SAMPLES	
  
Todd	
  Rosenstock,	
  H	
  Neufeldt,	
  J	
  Hickman,	
  M	
  Rufino,	
  K	
  BuDerbach-­‐Bahl,	
  E	
  Wollenberg,	
  D	
  
Pelster,	
  L	
  Verchot,	
  C	
  Arias-­‐Navarro,	
  G	
  Saiz,	
  E	
  Diaz-­‐Pines,	
  M	
  Richards,	
  D	
  Gil-­‐Kim+	
  
SBSTA	
  42	
  |	
  Bonn	
  |	
  5	
  June	
  2015	
  
Why	
  do	
  we	
  need	
  more	
  and	
  beDer	
  data?	
  
Low-­‐emissions	
  
development	
  
Global	
  nego,a,ons	
  
Climate	
  finance	
  
Based	
  on	
  exis+ng	
  data,	
  we	
  know	
  very	
  li5le	
  
about	
  African	
  agricultural	
  GHG	
  fluxes	
  
3	
  
Nitrous	
  oxide	
  emissions	
  from	
  increasing	
  
fer,lizer	
  use	
  in	
  Africa	
  
•  Government	
  subsidy	
  
programs	
  
•  NGOs	
  (e.g.,	
  Alliance	
  for	
  
Green	
  Revolu+on	
  in	
  
Africa)	
  
•  Used	
  in	
  private	
  sector	
  
(Unilever),	
  MRV	
  (Gold	
  
Standard),	
  &	
  farmers	
  
•  Differ	
  in	
  input	
  
requirements,	
  speed	
  of	
  
assessment	
  and	
  ease	
  of	
  use	
  
•  Largely	
  based	
  on	
  the	
  same	
  
input	
  data	
  and	
  models	
  	
  
	
  
Impact	
  assessment	
  with	
  ‘GHG	
  calculators’	
  
Colomb et al. 2012
REVIEW OF GHG CALCULATORS IN
AGRICULTURE AND FORESTRY
SECTORS
A Guideline for Appropriate Choice and
Use of Landscape Based Tools
Version 2.0
Authors
Vincent COLOMB (Lead Author, IRD, UMR Eco&Sols)
Martial BERNOUX (Coordinator, IRD, UMR Eco&Sols, martial.bernoux@ird.fr)
Louis BOCKEL (Policy Officer, FAO)
Jean-Luc CHOTTE (IRD, UMR Eco&Sols)
Sarah MARTIN (ADEME, Agriculture and Forest Service)
Cécile MARTIN-PHIPPS (ADEME, International Affairs Division)
Jérôme MOUSSET (ADEME, Agriculture and Forest Service)
Marianne TINLOT (Junior Consultant, FAO)
Ophélie TOUCHEMOULIN (Junior Consultant, FAO)
June, 2012
Small-­‐scale	
  spa+al	
  heterogeneity	
  
Context-­‐	
  
specific	
  
measurement	
  
methods	
  
	
  
	
  	
  
	
  
At	
  ~4	
  	
  
+me	
  points	
  
Ul,mately	
  we	
  need	
  more	
  data	
  
Nyando,	
  Kenya	
  
Beyond	
  field	
  measurements	
  of	
  emissions	
  
The	
  Problem	
  
GHG = f(EF,activity)
The	
  Approach	
   Outcome	
  
Variable	
  &	
  
uncertain	
  
Accuracy	
  unknown	
  
Compara+vely	
  li5le	
  
effort	
  
MRV	
  and	
  inventories	
  
based	
  on	
  ac,vi,es	
  
Arial	
  
photo	
  
Crowd	
  
sourcing	
  
Remote	
  
sensing	
  
Enabling	
  carbon	
  
finance	
  and	
  robust	
  
na+onal	
  policy	
  	
  
Rapid	
  
assessments	
  
e.g.	
  scorecards	
  
Ac,vi,es	
  
Mapping	
  pro-­‐
poor	
  mi+ga+on	
  
opportuni+es	
  
Measurement	
  
guidelines	
  
Capacity	
  
development	
  
Integrated	
  
assessment	
  of	
  
farming	
  systems	
  
Priori+es	
  for	
  
research	
  and	
  
development	
  
Consistent	
  and	
  
comparable	
  data	
  
Human	
  and	
  
ins+tu+onal	
  
infrastructure	
  
Socially	
  
acceptable,	
  
place-­‐based	
  
solu+ons	
  
CCAFS’	
  Standard	
  Assessment	
  of	
  Mi,ga,on	
  
Poten,al	
  and	
  Livelihoods	
  (SAMPLES)	
  Programme	
  
hDp://samples.ccafs.cgiar.org	
  
Ac,vi,es	
  Outcomes	
  
Thanks	
  for	
  a	
  future	
  

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Monitoring, reporting and verification in NAMAs using SAMPLES

  • 1. Monitoring,  repor,ng  and  verifica,on   in  NAMAs  using  SAMPLES   Todd  Rosenstock,  H  Neufeldt,  J  Hickman,  M  Rufino,  K  BuDerbach-­‐Bahl,  E  Wollenberg,  D   Pelster,  L  Verchot,  C  Arias-­‐Navarro,  G  Saiz,  E  Diaz-­‐Pines,  M  Richards,  D  Gil-­‐Kim+   SBSTA  42  |  Bonn  |  5  June  2015  
  • 2. Why  do  we  need  more  and  beDer  data?   Low-­‐emissions   development   Global  nego,a,ons   Climate  finance   Based  on  exis+ng  data,  we  know  very  li5le   about  African  agricultural  GHG  fluxes  
  • 3. 3   Nitrous  oxide  emissions  from  increasing   fer,lizer  use  in  Africa   •  Government  subsidy   programs   •  NGOs  (e.g.,  Alliance  for   Green  Revolu+on  in   Africa)  
  • 4. •  Used  in  private  sector   (Unilever),  MRV  (Gold   Standard),  &  farmers   •  Differ  in  input   requirements,  speed  of   assessment  and  ease  of  use   •  Largely  based  on  the  same   input  data  and  models       Impact  assessment  with  ‘GHG  calculators’   Colomb et al. 2012 REVIEW OF GHG CALCULATORS IN AGRICULTURE AND FORESTRY SECTORS A Guideline for Appropriate Choice and Use of Landscape Based Tools Version 2.0 Authors Vincent COLOMB (Lead Author, IRD, UMR Eco&Sols) Martial BERNOUX (Coordinator, IRD, UMR Eco&Sols, martial.bernoux@ird.fr) Louis BOCKEL (Policy Officer, FAO) Jean-Luc CHOTTE (IRD, UMR Eco&Sols) Sarah MARTIN (ADEME, Agriculture and Forest Service) Cécile MARTIN-PHIPPS (ADEME, International Affairs Division) Jérôme MOUSSET (ADEME, Agriculture and Forest Service) Marianne TINLOT (Junior Consultant, FAO) Ophélie TOUCHEMOULIN (Junior Consultant, FAO) June, 2012
  • 5. Small-­‐scale  spa+al  heterogeneity   Context-­‐   specific   measurement   methods           At  ~4     +me  points   Ul,mately  we  need  more  data   Nyando,  Kenya  
  • 6. Beyond  field  measurements  of  emissions   The  Problem   GHG = f(EF,activity) The  Approach   Outcome   Variable  &   uncertain   Accuracy  unknown   Compara+vely  li5le   effort   MRV  and  inventories   based  on  ac,vi,es   Arial   photo   Crowd   sourcing   Remote   sensing   Enabling  carbon   finance  and  robust   na+onal  policy     Rapid   assessments   e.g.  scorecards  
  • 7. Ac,vi,es   Mapping  pro-­‐ poor  mi+ga+on   opportuni+es   Measurement   guidelines   Capacity   development   Integrated   assessment  of   farming  systems   Priori+es  for   research  and   development   Consistent  and   comparable  data   Human  and   ins+tu+onal   infrastructure   Socially   acceptable,   place-­‐based   solu+ons   CCAFS’  Standard  Assessment  of  Mi,ga,on   Poten,al  and  Livelihoods  (SAMPLES)  Programme   hDp://samples.ccafs.cgiar.org   Ac,vi,es  Outcomes  
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  • 13. Thanks  for  a  future