CLIMATE-­‐SMART	
  AGRICULTURE:	
  
ADAPTATION,	
  MITIGATION	
  AND	
  FOOD	
  
SECURITY	
  IN	
  THE	
  LAND	
  SECTOR	
  
Brownbag	
  Friday	
  Seminar	
  
UNEP,	
  Nairobi,	
  27	
  February	
  2015	
  
Henry	
  Neufeldt	
  
World	
  Agroforestry	
  Centre	
  (ICRAF)	
  
What	
  will	
  we	
  call	
  the	
  boundaries	
  of	
  	
  
Safe(r)	
  operaTng	
  spaces	
  for	
  the	
  food	
  systems?	
  
Commission	
  on	
  Sustainable	
  Agriculture	
  and	
  Climate	
  Change	
  2012	
  
Climate	
  change	
  impacts	
  on	
  yields	
  
9.5-­‐14.7	
  Gt	
  CO2e	
  
(19-­‐29%)	
  	
  
	
  
	
  
7.6-­‐12.4	
  Gt	
  CO2e	
  
(15-­‐25%)	
  
	
  	
  
5.4-­‐5.8	
  Gt	
  CO2e	
  
(10-­‐12%)	
  
direct	
  
indirect	
  
global	
  food	
  
system	
  
Emissions	
  from	
  agricultural	
  producNon,	
  conversion	
  
of	
  land	
  and	
  pre-­‐	
  and	
  postproducNon	
  processes	
  
EsNmated	
  historical	
  and	
  projected	
  GHG	
  emissions	
  
Smith	
  et	
  al	
  in	
  IPCC	
  AR4	
  GWIII,	
  2007	
  
•  38%	
  as	
  N2O	
  from	
  soils	
  
•  32%	
  as	
  CH4	
  from	
  ruminant	
  enteric	
  fermentaNon	
  
•  12%	
  mainly	
  as	
  N2O	
  and	
  CH4	
  through	
  biomass	
  burning	
  
•  11%	
  mainly	
  as	
  CH4	
  in	
  rice	
  producNon	
  
•  7%	
  as	
  N2O	
  and	
  CH4	
  from	
  manure	
  management	
  
Smith	
  et	
  al	
  in	
  IPCC	
  AR5	
  GWIII,	
  2014	
  
AFOLU	
  emissions	
  for	
  the	
  
last	
  four	
  decades	
  
Smith	
  et	
  al	
  in	
  IPCC	
  AR5	
  GWIII,	
  2014	
  
Global	
  esNmates	
  of	
  costs	
  
and	
  potenNals	
  in	
  the	
  
AFOLU	
  sector	
  
Short	
  term	
   Long	
  term	
  
Food	
  security	
  
MiNgaNon	
  AdaptaNon	
  
Small	
  
scales	
  
Large	
  
scales	
  
Climate-­‐smart	
  agriculture	
  
Efficiency	
  
Fairness	
  
Food	
  Systems	
  
Three	
  major	
  stages	
  of	
  scaling	
  up	
  
Examples	
  of	
  no-­‐Nll	
  pracNces	
  in	
  different	
  countries	
  
GHG	
  miNgaNon	
  through	
  no-­‐Nll	
  in	
  selected	
  countries	
  	
  
Country( Climate(zone
(
( Estimated(
base(year(
Area((
2007/8(
Mitigation(
mean(and(range(
! ! ! (ha)! (Mt!CO2e)!
Australia! warm4dry! 1976! 17,000,000! !!95! 4209! 403!
New!Zealand! cool4moist! 1993! 162,000! !!!!!!!0.7! !!!!!!!40.1! !!!!!!!1.4!
China! cool4dry! 2000! 2,000,000! !!!!!!!1.6! !!!!!!!44.9! !!!!!!!8.1!
Kazakhstan! cool4dry! 2006! 1,200,000! !!!!!!!0.2! !!!!!!!40.6! !!!!!!!1.0!
USA! cool4moist! 1974! 26,500,000! 241! !!418! 510!
Canada! cool4moist! 1985! 13,481,000! !!82! !!!!46! 174!
Brazil! warm4moist! 1992! 25,502,000! 146! !!489! 382!
Argentina! warm4moist! 1993! 19,719,000! 109! !!467! 287!
Bolivia! warm4moist! 1996! 706,000! !!!!!!!3.1! !!!!!!!41.9! !!!!!!!8.1!
Uruguay! warm4moist! 1999! 655,100! !!!!!!!2.0! !!!!!!!41.2! !!!!!!!5.3!
!
Modified	
  from	
  UNEP	
  Emissions	
  Gap	
  Report,	
  2013	
  
System	
  of	
  rice	
  
intensificaNon	
  as	
  
an	
  example	
  of	
  
improved	
  nutrient	
  
and	
  water	
  
management	
  
Uphoff,	
  2012	
  
Review	
  of	
  SRI	
  
management	
  impacts	
  
on	
  yield,	
  water	
  
saving,	
  costs	
  of	
  
producNon	
  and	
  
farmer	
  income	
  per	
  ha	
  
in	
  13	
  countries	
  
	
  
Average:	
  	
  
+50%	
  yield	
  
-­‐37.5%	
  water	
  use	
  
-­‐16%	
  costs	
  
+94%	
  income	
  
Uphoff	
  2012	
  
Evergreen	
  agriculture	
  
with	
  	
  
Faidherbia	
  albida	
  
GHG	
  miNgaNon	
  through	
  agroforestry	
  by	
  regions	
  
Region	
   Annual	
  rate	
   2000-­‐2010	
  2011-­‐2030	
  
(Mt	
  CO2/yr)	
   (Mt	
  CO2)	
   (Mt	
  CO2)	
  
North	
  America	
   24.6	
   270	
   491	
  
Central	
  America	
   10.1	
   111	
   201	
  
South	
  America	
   157.3	
   1,730	
   3,145	
  
Europe	
   7.2	
   79	
   144	
  
N	
  Africa	
  +	
  W	
  Asia	
   2.7	
   29	
   53	
  
Sub-­‐Saharan	
  Africa	
   10.0	
   110	
   201	
  
N	
  +	
  Central	
  Asia	
   -­‐4.0	
   -­‐44	
   -­‐79	
  
South	
  Asia	
   23.5	
   258	
   469	
  
South-­‐East	
  Asia	
   23.8	
   262	
   477	
  
East	
  Asia	
   36.2	
   398	
   723	
  
Oceania	
   19.2	
   211	
   384	
  
Globe	
   262.8	
   2,891	
   5,256	
  
%	
   Gt	
  CO2/yr	
  
0	
   0.26	
  
20	
   0.37	
  
25	
   0.39	
  
30	
   0.41	
  
50	
   0.47	
  
Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector
SUSTAINABILITY CHALLENGES – LAND USE
Food vs. Fuel
Pastoral Land Use
Biodiversity
Watershed
Land Use – Socioeconomic & Environmental Sustainability
InnovaTon	
  and	
  food	
  security	
  
RelaNonship	
  between	
  
innovaNveness	
  (number	
  
of	
  farming	
  system	
  
changes)	
  and	
  household	
  
food	
  security	
  (number	
  
of	
  food	
  deficit	
  months).	
  
Error	
  bars	
  indicate	
  the	
  
95%	
  confidence	
  interval	
  
of	
  the	
  mean	
  
	
  
Kristjanson	
  et	
  al	
  2012	
  
•  Farmers	
  most	
  interested	
  in	
  reducing	
  food	
  insecurity	
  
•  No	
  long-­‐	
  or	
  medium-­‐term	
  planning	
  possible	
  under	
  food	
  insecure	
  situaNon	
  
•  Tree	
  planNng	
  (and	
  other	
  investments	
  in	
  livelihood	
  improvements)	
  only	
  
aaer	
  basic	
  food	
  security	
  is	
  guaranteed	
  
•  Food	
  insecurity	
  rose	
  by	
  at	
  least	
  one	
  month	
  (above	
  on	
  average	
  3	
  months)	
  
during	
  drought	
  and	
  flooding	
  
•  Coping	
  strategies	
  lead	
  into	
  ‘poverty	
  trap’	
  
•  Agroforestry	
  reduced	
  food	
  insecurity	
  by	
  about	
  1	
  month	
  
All	
  #s	
  in	
  %	
  
Reduce	
  
QuanNty,	
  
Quality	
  or	
  #	
  
of	
  meals	
  
Comm-­‐
unity	
  or	
  
family	
  
support	
  
Help	
  from	
  
Gov,	
  NGO,	
  
Church	
  
Borrow	
  
money	
  
Casual	
  
Labor	
  
Sell	
  
possess-­‐
ions	
  or	
  
livestock	
  
Consume	
  
Seeds	
  
Children	
  
agend	
  
school	
  
less	
  
Lower	
  
Nyando	
  
85	
   30	
   42	
   32	
   28	
   72	
   72	
   38	
  
Middle	
  
Nyando	
  
38	
   23	
   18	
   37.5	
   25	
   40	
   61	
   12.5	
  
Farmer	
  climate	
  coping	
  strategies	
  
Thorlakson	
  and	
  Neufeldt	
  2012	
  
•  Provide	
  an	
  enabling	
  legal	
  and	
  poliNcal	
  environment	
  
•  Improve	
  market	
  accessibility	
  
•  Involve	
  farmers	
  in	
  the	
  project-­‐planning	
  process	
  
•  Improve	
  access	
  to	
  knowledge	
  and	
  training	
  
•  Introduce	
  more	
  secure	
  tenure	
  
•  Overcome	
  the	
  barriers	
  of	
  high	
  opportunity	
  costs	
  to	
  
land	
  
•  Improve	
  access	
  to	
  farm	
  implements	
  and	
  capital	
  
Thorlakson	
  and	
  Neufeldt,	
  2012	
  
Barriers	
  to	
  adopNon	
  of	
  CSA	
  in	
  smallholder	
  agriculture	
  
GENDER	
  
¢  What	
  is	
  the	
  
research	
  that	
  will	
  
provide	
  evidence	
  
how	
  women	
  can	
  
benefit	
  more?	
   •  Beger	
  access	
  to	
  credits,	
  income	
  generaNng	
  acNviNes	
  and	
  
fuel	
  wood	
  can	
  help	
  build	
  producNve	
  assets	
  
•  ParNcipaNon	
  in	
  SLM	
  projects	
  is	
  heavily	
  influenced	
  by	
  
social	
  norms	
  and	
  intra-­‐household	
  decision-­‐making	
  
•  Men	
  and	
  women	
  value	
  non-­‐cash	
  benefits	
  of	
  the	
  projects,	
  
including	
  beger	
  communicaNon	
  and	
  changing	
  roles	
  
•  Progress	
  toward	
  gender	
  equity	
  requires	
  agenNon	
  to	
  
agency,	
  structure	
  and	
  relaNons	
  defining	
  interacNons	
  
•  New	
  spaces	
  for	
  interacNon	
  can	
  open	
  up	
  opportuniNes	
  
•  An	
  iteraNve	
  learning	
  approach	
  can	
  improve	
  project	
  
success	
  and	
  gender	
  equity	
  outcomes	
  
•  Focusing	
  on	
  CSA	
  rather	
  than	
  carbon	
  can	
  enhance	
  benefits	
  
accruing	
  to	
  women	
  in	
  parNcular	
   Bernier	
  et	
  al	
  2013	
  
Increase	
  in	
  area	
  
under	
  culNvaNon	
  
from	
  42%	
  to	
  63%	
  
	
  
Constraints:	
  insecure	
  tenure	
  
Economic,	
  Environmental	
  and	
  Social	
  
Impacts	
  
Unadjud	
   Freehold	
  
Tenure	
  
Effect	
  
Net	
  returns	
  to	
  land	
  ($	
  ha-­‐1
	
  y-­‐1
)	
   $126	
   $288	
   2.28	
  
Woody	
  crops,	
  woodlots	
  etc	
  (ha	
  km-­‐2
)	
   5.4	
   25.6	
   4.7	
  
Hedgerows	
  (km	
  km-­‐2
)	
   5.2	
   23.6	
   4.5	
  
Social	
  cost	
  from	
  embedding	
   -­‐$40	
   $30	
   $70	
  
Social	
  "tax"	
   -­‐32%	
   +10%	
   	
  
	
   Norton-­‐Griffiths	
  2012	
  
...	
  an	
  increase	
  of	
  1.3	
  million	
  hectares	
  
at	
  a	
  rate	
  of	
  1.4%	
  per	
  year	
  
IMPACT	
  OF	
  TENURE	
  ON	
  TREE	
  COVER	
  AND	
  AGROFORESTRY	
  
Adjudicated	
  
Unadjudicated	
  
Financial	
  benefits	
  of	
  no-­‐Nll	
  wheat	
  
producNon	
  in	
  northern	
  Kasakhstan	
  
Derpsch	
  et	
  al	
  2010	
  
Recommendation 1:  Integrate food security and sustainable
agriculture into global and national policies
Recommendation 2: Significantly raise the level of global investment
in sustainable agriculture and food systems in the next decade
Recommendation 3: Sustainably intensify agricultural production
while reducing greenhouse gas emissions and other negative
environmental impacts of agriculture
Recommendation 4: Target populations and sectors that are most
vulnerable to climate change and food insecurity
Recommendation 5: Reshape food access and consumption patterns
to ensure basic nutritional needs are met and to foster healthy and
sustainable eating habits worldwide
Recommendation 6: Reduce loss and waste in food systems,
particularly from infrastructure, farming practices, processing,
distribution and household habits
Recommendation 7: Create comprehensive, shared, integrated
information systems that encompass human and ecological
dimensions
Photo:N.Palmer(CIAT)
Toward	
  Tier	
  3	
  Sustainability—Toward	
  risk	
  miTgaTon	
  and	
  resilience	
  in	
  food	
  systems	
  
Commission	
  on	
  Sustainable	
  Agriculture	
  and	
  Climate	
  Change	
  2012	
  
Discovery,	
  tesNng	
  and	
  implementaNon	
  of	
  mechanisms	
  across	
  scales	
  that	
  allow	
  
for	
  adapNve	
  management	
  and	
  adapNve	
  governance	
  of	
  social-­‐ecological	
  
systems	
  essenNal	
  for	
  long-­‐term	
  human	
  provisioning	
  
	
  
Development	
  of	
  integrated	
  metrics	
  of	
  safe	
  space	
  that	
  are	
  pracNcal	
  and	
  
meaningful	
  for	
  decision-­‐making	
  by	
  relevant	
  communiNes	
  in	
  near	
  real	
  Nme	
  
	
  
SystemaNc	
  gathering	
  and	
  integraNon	
  of	
  quality	
  data	
  and	
  informaNon	
  to	
  
generate	
  knowledge	
  in	
  Nme	
  frames	
  and	
  at	
  scales	
  relevant	
  for	
  decision-­‐making	
  
through	
  analyNcal	
  tools,	
  models	
  and	
  scenarios	
  
	
  
Establishment	
  of	
  legiNmate	
  and	
  empowered	
  science	
  policy	
  dialogues	
  that	
  
frame	
  post–disciplinary	
  science	
  agendas	
  on	
  local,	
  naNonal	
  and	
  internaNonal	
  
scales	
  
Key	
  areas	
  of	
  science	
  innovaNon	
  
Neufeldt,	
  Jahn	
  et	
  al	
  2013	
  
What	
  is	
  the	
  Process?	
  	
  
decisio
for s
dev
Support-­‐Hub	
  for	
  Evidence-­‐based	
  
Decision-­‐making	
  (SHED)	
  
Each	
  phase	
  unpacks	
  
to	
  reveal	
  elaborated	
  
process	
  steps	
  
ArVculated	
  goal	
  to	
  
implementaVon	
  
pathway	
  
Entry	
  point	
  is	
  
appropriate	
  to	
  client	
  
Non	
  Linear	
  Process	
  
¢  Using	
  SHED	
  Principles:	
  linked	
  diverse	
  knowledge	
  
systems	
  to	
  advance	
  CSA	
  in	
  Kenya	
  
¢  Researchers,	
  development	
  actors,	
  farmer	
  leaders,	
  
and	
  the	
  GOK	
  Climate	
  Change	
  Unit	
  convened	
  to	
  
share	
  scienNfic	
  and	
  experienNal	
  evidence	
  from	
  44	
  
projects	
  	
  
¢  A	
  synthesized	
  and	
  coherent	
  technical	
  presentaNon	
  
was	
  delivered	
  to	
  the	
  CC	
  Secretariat	
  and	
  policy	
  
messages	
  developed	
  to	
  be	
  inpuged	
  to	
  Kenya	
  
Climate	
  Change	
  Policy	
  Framework	
  and	
  a	
  brief	
  
prepared	
  for	
  the	
  COP-­‐20.	
  
¢  Technical	
  Brief	
  forthcoming	
  in	
  March	
  2015	
  
	
  
Current	
  Cases	
  Climate	
  Smart	
  Agriculture	
  Case	
  
Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector
LAND	
  HEALTH	
  SURVEILLANCE	
  
Consistent	
  field	
  
protocol	
  
Soil spectroscopy	

Coupling	
  with	
  
remote	
  sensing	
  Prevalence, Risk factors, Digital mapping	

Sentinel sites 	

Randomized sampling schemes
Marshall et al. (2012)
•  Declines	
  in	
  evapotranspiraNon	
  are	
  
expected	
  to	
  conNnue	
  over	
  much	
  of	
  the	
  
Sahelo-­‐Sudan	
  mid-­‐21st	
  century	
  [A]	
  
•  Recent	
  and	
  rapid	
  expansion	
  of	
  
agricultural	
  land	
  use	
  
•  Decline	
  in	
  indirect	
  moisture	
  
recycling	
  [B]	
  
•  Direct	
  and	
  local	
  moisture	
  
decoupling	
  [C]	
  
•  Forests,	
  reforestaNon,	
  and	
  afforestaNon	
  
through	
  agroforestry	
  could	
  lead	
  to	
  less	
  
rainfall	
  variability…	
  
A
C Koster et al. (2006)
Spracklen and Taylor (2012)
Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector
Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector
Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector
0.4	
  
0.6	
  
0.8	
  
1	
  
1.2	
  
1.4	
  
1.6	
  
1.8	
  
2	
  
2.2	
  
0	
  
200	
  
400	
  
600	
  
800	
  
1000	
  
1796	
  
1801	
  
1806	
  
1811	
  
1816	
  
1821	
  
1826	
  
1831	
  
1836	
  
1841	
  
1846	
  
1851	
  
1856	
  
1861	
  
1866	
  
1871	
  
1876	
  
1881	
  
1886	
  
1891	
  
1896	
  
1901	
  
1906	
  
1911	
  
1916	
  
1921	
  
1926	
  
1931	
  
1936	
  
1941	
  
1946	
  
1951	
  
1956	
  
1961	
  
1966	
  
1971	
  
1976	
  
1981	
  
1986	
  
1991	
  
1996	
  
2001	
  
2006	
  
Index	
  
Rainfall	
  (mm)	
  
Years	
  
Rainfall(mm)	
   Master	
  chrono	
  
•  Up-­‐front	
  public	
  sector	
  finance	
  needed	
  to	
  turn	
  projects	
  viable	
  
•  Projects	
  build	
  insNtuNonal	
  capacity	
  
•  Projects	
  deliver	
  food	
  security	
  and	
  adaptaNon	
  with	
  miNgaNon	
  co-­‐benefits	
  
•  Insurance	
  schemes	
  provide	
  safety	
  nets	
  against	
  falling	
  into	
  the	
  poverty	
  trap	
  
•  Combining	
  many	
  and	
  diverse	
  investments	
  in	
  land	
  can	
  increase	
  returns	
  and	
  drive	
  
large-­‐scale	
  investment	
  in	
  sustainable	
  NRM	
  
•  Robust	
  M+E	
  frameworks	
  are	
  needed	
  to	
  quanNfy	
  how	
  different	
  CSA	
  pracNces	
  reduce	
  
climate	
  risk	
  
Foster	
  et	
  al	
  2013	
  
•  Set	
  up	
  at	
  least	
  one	
  biocarbon	
  project	
  
in	
  Burkina	
  Faso	
  and	
  Sierra	
  Leone	
  
•  Develop	
  the	
  carbon	
  projects	
  from	
  the	
  
incepNon	
  phase	
  to	
  commercial	
  level	
  
as	
  viable	
  and	
  tangible	
  development	
  
outcomes	
  
•  Include	
  AFOLU,	
  REDD	
  and	
  a	
  
combinaNon	
  of	
  REDD/AFOLU	
  projects	
  
•  Include	
  wood	
  fuels	
  in	
  the	
  carbon	
  
projects	
  
•  Include	
  CA,	
  water	
  management,	
  
biodiversity	
  benefits,	
  etc.	
  where	
  it	
  
makes	
  sense	
  
•  Build	
  the	
  capacity	
  at	
  naNonal	
  and	
  
regional	
  scales	
  that	
  allow	
  scaling	
  up	
  
BIODEV concrete measures
Diagram	
  of	
  Bio-­‐C	
  project	
  potenTal	
  
structure	
  
Climate-­‐smart	
  agriculture1	
  pracNces	
  can	
  contribute	
  
to	
  food	
  security	
  of	
  resource-­‐poor	
  rural	
  populaNons	
  
while	
  providing	
  important	
  adaptaNon	
  and	
  miNgaNon	
  
co-­‐benefits	
  if	
  they	
  are	
  adapted	
  to	
  local	
  condiNons	
  
and	
  naNonal	
  policies,	
  and	
  global	
  food	
  systems	
  are	
  in	
  
tune	
  with	
  sustainable	
  development	
  goals.	
  
1Agriculture	
  is	
  understood	
  to	
  consist	
  of	
  crops,	
  
livestock,	
  forests,	
  fisheries	
  and	
  aquaculture	
  
Key	
  messages	
  
In	
  order	
  to	
  maximize	
  the	
  synergies	
  between	
  the	
  
three	
  pillars	
  (producNon,	
  adaptaNon,	
  miNgaNon)	
  
agricultural	
  policies	
  should	
  consider	
  mulNple	
  targets	
  
from	
  the	
  outset,	
  and	
  research	
  is	
  needed	
  that	
  
idenNfies	
  the	
  relaNve	
  contribuNons	
  of	
  different	
  
pracNces	
  to	
  each	
  of	
  the	
  pillars.	
  
Key	
  messages	
  
Overcoming	
  barriers	
  to	
  adopNon	
  of	
  climate-­‐smart	
  
agriculture	
  for	
  long-­‐term	
  transformaNon	
  toward	
  
sustainable	
  management	
  of	
  resources	
  requires:	
  
naNonal	
  agriculture	
  development	
  plans	
  with	
  
appropriate	
  insNtuNons	
  at	
  naNonal	
  to	
  local	
  levels;	
  
provision	
  of	
  infrastructure;	
  access	
  to	
  informaNon	
  and	
  
training;	
  access	
  to	
  capital	
  and	
  insurance;	
  stakeholder	
  
parNcipaNon;	
  and,	
  last	
  but	
  not	
  least,	
  improvement	
  of	
  
tenure	
  arrangements.	
  
Key	
  messages	
  
Investment	
  in	
  improved	
  natural	
  resource	
  
management	
  through	
  climate	
  finance	
  can	
  provide	
  
essenNal	
  livelihood	
  (through	
  improved	
  and	
  
diversified	
  income,	
  strengthened	
  insNtuNonal	
  
capacity,	
  reduced	
  climate	
  risk)	
  and	
  global	
  miNgaNon	
  
benefits	
  if	
  high	
  investment	
  risks	
  and	
  low	
  returns	
  on	
  
investment	
  can	
  be	
  overcome.	
  
Key	
  messages	
  
Thanks	
  for	
  a	
  future	
  

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Climate - Smart Agriculture: adaptation, mitigation andfood security in the land sector

  • 1. CLIMATE-­‐SMART  AGRICULTURE:   ADAPTATION,  MITIGATION  AND  FOOD   SECURITY  IN  THE  LAND  SECTOR   Brownbag  Friday  Seminar   UNEP,  Nairobi,  27  February  2015   Henry  Neufeldt   World  Agroforestry  Centre  (ICRAF)  
  • 2. What  will  we  call  the  boundaries  of     Safe(r)  operaTng  spaces  for  the  food  systems?   Commission  on  Sustainable  Agriculture  and  Climate  Change  2012  
  • 3. Climate  change  impacts  on  yields  
  • 4. 9.5-­‐14.7  Gt  CO2e   (19-­‐29%)         7.6-­‐12.4  Gt  CO2e   (15-­‐25%)       5.4-­‐5.8  Gt  CO2e   (10-­‐12%)   direct   indirect   global  food   system   Emissions  from  agricultural  producNon,  conversion   of  land  and  pre-­‐  and  postproducNon  processes  
  • 5. EsNmated  historical  and  projected  GHG  emissions   Smith  et  al  in  IPCC  AR4  GWIII,  2007   •  38%  as  N2O  from  soils   •  32%  as  CH4  from  ruminant  enteric  fermentaNon   •  12%  mainly  as  N2O  and  CH4  through  biomass  burning   •  11%  mainly  as  CH4  in  rice  producNon   •  7%  as  N2O  and  CH4  from  manure  management  
  • 6. Smith  et  al  in  IPCC  AR5  GWIII,  2014   AFOLU  emissions  for  the   last  four  decades  
  • 7. Smith  et  al  in  IPCC  AR5  GWIII,  2014   Global  esNmates  of  costs   and  potenNals  in  the   AFOLU  sector  
  • 8. Short  term   Long  term   Food  security   MiNgaNon  AdaptaNon   Small   scales   Large   scales   Climate-­‐smart  agriculture   Efficiency   Fairness   Food  Systems  
  • 9. Three  major  stages  of  scaling  up  
  • 10. Examples  of  no-­‐Nll  pracNces  in  different  countries  
  • 11. GHG  miNgaNon  through  no-­‐Nll  in  selected  countries     Country( Climate(zone ( ( Estimated( base(year( Area(( 2007/8( Mitigation( mean(and(range( ! ! ! (ha)! (Mt!CO2e)! Australia! warm4dry! 1976! 17,000,000! !!95! 4209! 403! New!Zealand! cool4moist! 1993! 162,000! !!!!!!!0.7! !!!!!!!40.1! !!!!!!!1.4! China! cool4dry! 2000! 2,000,000! !!!!!!!1.6! !!!!!!!44.9! !!!!!!!8.1! Kazakhstan! cool4dry! 2006! 1,200,000! !!!!!!!0.2! !!!!!!!40.6! !!!!!!!1.0! USA! cool4moist! 1974! 26,500,000! 241! !!418! 510! Canada! cool4moist! 1985! 13,481,000! !!82! !!!!46! 174! Brazil! warm4moist! 1992! 25,502,000! 146! !!489! 382! Argentina! warm4moist! 1993! 19,719,000! 109! !!467! 287! Bolivia! warm4moist! 1996! 706,000! !!!!!!!3.1! !!!!!!!41.9! !!!!!!!8.1! Uruguay! warm4moist! 1999! 655,100! !!!!!!!2.0! !!!!!!!41.2! !!!!!!!5.3! ! Modified  from  UNEP  Emissions  Gap  Report,  2013  
  • 12. System  of  rice   intensificaNon  as   an  example  of   improved  nutrient   and  water   management   Uphoff,  2012  
  • 13. Review  of  SRI   management  impacts   on  yield,  water   saving,  costs  of   producNon  and   farmer  income  per  ha   in  13  countries     Average:     +50%  yield   -­‐37.5%  water  use   -­‐16%  costs   +94%  income   Uphoff  2012  
  • 14. Evergreen  agriculture   with     Faidherbia  albida  
  • 15. GHG  miNgaNon  through  agroforestry  by  regions   Region   Annual  rate   2000-­‐2010  2011-­‐2030   (Mt  CO2/yr)   (Mt  CO2)   (Mt  CO2)   North  America   24.6   270   491   Central  America   10.1   111   201   South  America   157.3   1,730   3,145   Europe   7.2   79   144   N  Africa  +  W  Asia   2.7   29   53   Sub-­‐Saharan  Africa   10.0   110   201   N  +  Central  Asia   -­‐4.0   -­‐44   -­‐79   South  Asia   23.5   258   469   South-­‐East  Asia   23.8   262   477   East  Asia   36.2   398   723   Oceania   19.2   211   384   Globe   262.8   2,891   5,256   %   Gt  CO2/yr   0   0.26   20   0.37   25   0.39   30   0.41   50   0.47  
  • 17. SUSTAINABILITY CHALLENGES – LAND USE Food vs. Fuel Pastoral Land Use Biodiversity Watershed Land Use – Socioeconomic & Environmental Sustainability
  • 18. InnovaTon  and  food  security   RelaNonship  between   innovaNveness  (number   of  farming  system   changes)  and  household   food  security  (number   of  food  deficit  months).   Error  bars  indicate  the   95%  confidence  interval   of  the  mean     Kristjanson  et  al  2012  
  • 19. •  Farmers  most  interested  in  reducing  food  insecurity   •  No  long-­‐  or  medium-­‐term  planning  possible  under  food  insecure  situaNon   •  Tree  planNng  (and  other  investments  in  livelihood  improvements)  only   aaer  basic  food  security  is  guaranteed   •  Food  insecurity  rose  by  at  least  one  month  (above  on  average  3  months)   during  drought  and  flooding   •  Coping  strategies  lead  into  ‘poverty  trap’   •  Agroforestry  reduced  food  insecurity  by  about  1  month   All  #s  in  %   Reduce   QuanNty,   Quality  or  #   of  meals   Comm-­‐ unity  or   family   support   Help  from   Gov,  NGO,   Church   Borrow   money   Casual   Labor   Sell   possess-­‐ ions  or   livestock   Consume   Seeds   Children   agend   school   less   Lower   Nyando   85   30   42   32   28   72   72   38   Middle   Nyando   38   23   18   37.5   25   40   61   12.5   Farmer  climate  coping  strategies   Thorlakson  and  Neufeldt  2012  
  • 20. •  Provide  an  enabling  legal  and  poliNcal  environment   •  Improve  market  accessibility   •  Involve  farmers  in  the  project-­‐planning  process   •  Improve  access  to  knowledge  and  training   •  Introduce  more  secure  tenure   •  Overcome  the  barriers  of  high  opportunity  costs  to   land   •  Improve  access  to  farm  implements  and  capital   Thorlakson  and  Neufeldt,  2012   Barriers  to  adopNon  of  CSA  in  smallholder  agriculture  
  • 21. GENDER   ¢  What  is  the   research  that  will   provide  evidence   how  women  can   benefit  more?   •  Beger  access  to  credits,  income  generaNng  acNviNes  and   fuel  wood  can  help  build  producNve  assets   •  ParNcipaNon  in  SLM  projects  is  heavily  influenced  by   social  norms  and  intra-­‐household  decision-­‐making   •  Men  and  women  value  non-­‐cash  benefits  of  the  projects,   including  beger  communicaNon  and  changing  roles   •  Progress  toward  gender  equity  requires  agenNon  to   agency,  structure  and  relaNons  defining  interacNons   •  New  spaces  for  interacNon  can  open  up  opportuniNes   •  An  iteraNve  learning  approach  can  improve  project   success  and  gender  equity  outcomes   •  Focusing  on  CSA  rather  than  carbon  can  enhance  benefits   accruing  to  women  in  parNcular   Bernier  et  al  2013  
  • 22. Increase  in  area   under  culNvaNon   from  42%  to  63%    
  • 23. Constraints:  insecure  tenure   Economic,  Environmental  and  Social   Impacts   Unadjud   Freehold   Tenure   Effect   Net  returns  to  land  ($  ha-­‐1  y-­‐1 )   $126   $288   2.28   Woody  crops,  woodlots  etc  (ha  km-­‐2 )   5.4   25.6   4.7   Hedgerows  (km  km-­‐2 )   5.2   23.6   4.5   Social  cost  from  embedding   -­‐$40   $30   $70   Social  "tax"   -­‐32%   +10%       Norton-­‐Griffiths  2012  
  • 24. ...  an  increase  of  1.3  million  hectares   at  a  rate  of  1.4%  per  year  
  • 25. IMPACT  OF  TENURE  ON  TREE  COVER  AND  AGROFORESTRY   Adjudicated   Unadjudicated  
  • 26. Financial  benefits  of  no-­‐Nll  wheat   producNon  in  northern  Kasakhstan   Derpsch  et  al  2010  
  • 27. Recommendation 1:  Integrate food security and sustainable agriculture into global and national policies Recommendation 2: Significantly raise the level of global investment in sustainable agriculture and food systems in the next decade Recommendation 3: Sustainably intensify agricultural production while reducing greenhouse gas emissions and other negative environmental impacts of agriculture Recommendation 4: Target populations and sectors that are most vulnerable to climate change and food insecurity Recommendation 5: Reshape food access and consumption patterns to ensure basic nutritional needs are met and to foster healthy and sustainable eating habits worldwide Recommendation 6: Reduce loss and waste in food systems, particularly from infrastructure, farming practices, processing, distribution and household habits Recommendation 7: Create comprehensive, shared, integrated information systems that encompass human and ecological dimensions Photo:N.Palmer(CIAT) Toward  Tier  3  Sustainability—Toward  risk  miTgaTon  and  resilience  in  food  systems   Commission  on  Sustainable  Agriculture  and  Climate  Change  2012  
  • 28. Discovery,  tesNng  and  implementaNon  of  mechanisms  across  scales  that  allow   for  adapNve  management  and  adapNve  governance  of  social-­‐ecological   systems  essenNal  for  long-­‐term  human  provisioning     Development  of  integrated  metrics  of  safe  space  that  are  pracNcal  and   meaningful  for  decision-­‐making  by  relevant  communiNes  in  near  real  Nme     SystemaNc  gathering  and  integraNon  of  quality  data  and  informaNon  to   generate  knowledge  in  Nme  frames  and  at  scales  relevant  for  decision-­‐making   through  analyNcal  tools,  models  and  scenarios     Establishment  of  legiNmate  and  empowered  science  policy  dialogues  that   frame  post–disciplinary  science  agendas  on  local,  naNonal  and  internaNonal   scales   Key  areas  of  science  innovaNon   Neufeldt,  Jahn  et  al  2013  
  • 29. What  is  the  Process?     decisio for s dev Support-­‐Hub  for  Evidence-­‐based   Decision-­‐making  (SHED)   Each  phase  unpacks   to  reveal  elaborated   process  steps   ArVculated  goal  to   implementaVon   pathway   Entry  point  is   appropriate  to  client   Non  Linear  Process  
  • 30. ¢  Using  SHED  Principles:  linked  diverse  knowledge   systems  to  advance  CSA  in  Kenya   ¢  Researchers,  development  actors,  farmer  leaders,   and  the  GOK  Climate  Change  Unit  convened  to   share  scienNfic  and  experienNal  evidence  from  44   projects     ¢  A  synthesized  and  coherent  technical  presentaNon   was  delivered  to  the  CC  Secretariat  and  policy   messages  developed  to  be  inpuged  to  Kenya   Climate  Change  Policy  Framework  and  a  brief   prepared  for  the  COP-­‐20.   ¢  Technical  Brief  forthcoming  in  March  2015     Current  Cases  Climate  Smart  Agriculture  Case  
  • 32. LAND  HEALTH  SURVEILLANCE   Consistent  field   protocol   Soil spectroscopy Coupling  with   remote  sensing  Prevalence, Risk factors, Digital mapping Sentinel sites Randomized sampling schemes
  • 33. Marshall et al. (2012) •  Declines  in  evapotranspiraNon  are   expected  to  conNnue  over  much  of  the   Sahelo-­‐Sudan  mid-­‐21st  century  [A]   •  Recent  and  rapid  expansion  of   agricultural  land  use   •  Decline  in  indirect  moisture   recycling  [B]   •  Direct  and  local  moisture   decoupling  [C]   •  Forests,  reforestaNon,  and  afforestaNon   through  agroforestry  could  lead  to  less   rainfall  variability…   A C Koster et al. (2006) Spracklen and Taylor (2012)
  • 37. 0.4   0.6   0.8   1   1.2   1.4   1.6   1.8   2   2.2   0   200   400   600   800   1000   1796   1801   1806   1811   1816   1821   1826   1831   1836   1841   1846   1851   1856   1861   1866   1871   1876   1881   1886   1891   1896   1901   1906   1911   1916   1921   1926   1931   1936   1941   1946   1951   1956   1961   1966   1971   1976   1981   1986   1991   1996   2001   2006   Index   Rainfall  (mm)   Years   Rainfall(mm)   Master  chrono  
  • 38. •  Up-­‐front  public  sector  finance  needed  to  turn  projects  viable   •  Projects  build  insNtuNonal  capacity   •  Projects  deliver  food  security  and  adaptaNon  with  miNgaNon  co-­‐benefits   •  Insurance  schemes  provide  safety  nets  against  falling  into  the  poverty  trap   •  Combining  many  and  diverse  investments  in  land  can  increase  returns  and  drive   large-­‐scale  investment  in  sustainable  NRM   •  Robust  M+E  frameworks  are  needed  to  quanNfy  how  different  CSA  pracNces  reduce   climate  risk   Foster  et  al  2013  
  • 39. •  Set  up  at  least  one  biocarbon  project   in  Burkina  Faso  and  Sierra  Leone   •  Develop  the  carbon  projects  from  the   incepNon  phase  to  commercial  level   as  viable  and  tangible  development   outcomes   •  Include  AFOLU,  REDD  and  a   combinaNon  of  REDD/AFOLU  projects   •  Include  wood  fuels  in  the  carbon   projects   •  Include  CA,  water  management,   biodiversity  benefits,  etc.  where  it   makes  sense   •  Build  the  capacity  at  naNonal  and   regional  scales  that  allow  scaling  up   BIODEV concrete measures Diagram  of  Bio-­‐C  project  potenTal   structure  
  • 40. Climate-­‐smart  agriculture1  pracNces  can  contribute   to  food  security  of  resource-­‐poor  rural  populaNons   while  providing  important  adaptaNon  and  miNgaNon   co-­‐benefits  if  they  are  adapted  to  local  condiNons   and  naNonal  policies,  and  global  food  systems  are  in   tune  with  sustainable  development  goals.   1Agriculture  is  understood  to  consist  of  crops,   livestock,  forests,  fisheries  and  aquaculture   Key  messages  
  • 41. In  order  to  maximize  the  synergies  between  the   three  pillars  (producNon,  adaptaNon,  miNgaNon)   agricultural  policies  should  consider  mulNple  targets   from  the  outset,  and  research  is  needed  that   idenNfies  the  relaNve  contribuNons  of  different   pracNces  to  each  of  the  pillars.   Key  messages  
  • 42. Overcoming  barriers  to  adopNon  of  climate-­‐smart   agriculture  for  long-­‐term  transformaNon  toward   sustainable  management  of  resources  requires:   naNonal  agriculture  development  plans  with   appropriate  insNtuNons  at  naNonal  to  local  levels;   provision  of  infrastructure;  access  to  informaNon  and   training;  access  to  capital  and  insurance;  stakeholder   parNcipaNon;  and,  last  but  not  least,  improvement  of   tenure  arrangements.   Key  messages  
  • 43. Investment  in  improved  natural  resource   management  through  climate  finance  can  provide   essenNal  livelihood  (through  improved  and   diversified  income,  strengthened  insNtuNonal   capacity,  reduced  climate  risk)  and  global  miNgaNon   benefits  if  high  investment  risks  and  low  returns  on   investment  can  be  overcome.   Key  messages  
  • 44. Thanks  for  a  future