Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
3. Three
messages
• Decide
on
what
ma8ers,
scale,
boundaries
• Address
heterogeneity,
don’t
ignore
it
• Aim
at
low
cost,
but
collect
meaningful
data
4. How
to
iden3fy
mi#ga#on
op#ons
at
farm
and
landscape
level?
5. Complex
landscape:
f
(i,
j,
k,
l,
m)
i
Landscape
units
j
Farm
types
Physical
environment
Social
and
economic
environment
l
Field
types
Local
management
Define
project
interven3on
(LUC,
hotspots)
Income,
tenure,
food
security
GHG
emissions,
produc3vity,
economics
k
Common
lands
m
Land
types
6. Complex
landscape:
f
(i,
j,
k,
l,
m)
i
Landscape
units
j
Farm
types
Physical
environment
Social
and
economic
environment
l
Field
types
Local
management
k
Common
lands
m
Land
types
Top-‐
down
7. Complex
landscape:
f
(i,
j,
k,
l,
m)
i
Landscape
units
j
Farm
types
Physical
environment
Social
and
economic
environment
l
Field
types
Local
management
k
Common
lands
m
Land
types
Bo8on
-‐up
21. What
ma8ers
at
farm
and
field
level?
• Crops,
trees,
livestock
• Input
use
(fer3lisers,
crop
residues,
water)
• Produc3vity
• Economics
• Tenure
22. Complex
landscape:
f
(i,
j,
k,
l,
m)
i
Landscape
units
j
Farm
types
Physical
environment
Social
and
economic
environment
l
Field
types
Local
management
k
Common
lands
m
Land
types
Bo8on
-‐up
23. Top-‐down
+
bo8on
up
Sampling
intensity
(sites:
area)
In
terms
of
a
250
m
square
grid
class sites area (km2) sites:area
cultivated (cash and subsistence) 28 2.74 10.23
cultivated (cash) 47 5.94 7.91
cultivated (grasslands and pastures) 47 12.69 3.70
cultivated (subsistence) 141 41.54 3.39
mixed 93 34.69 2.68
uncultivated vegetation 4 2.39 1.67
24. Top-‐down
+
bo8on
up
Landscape
units
and
land
users
-‐>
basis
for
sampling
25. Field
typology
survey Date:
Surveyor:
HH
ID:
______________________
Name
of
respondent:___________________
PLOT
LOCATION
AND
SIZE
South_______________
East________________
Error________
Plot Subplot Subplot Subplot
ID
Area (m2)
Land
cover
Photo
ID
Land
tenure:
Communal
Rented
Owned
Does
the
farmer
burn
the
plot?
regularly
sometimes
never
Agricultural
practices
Crops
commonly
planted
in
field
Crop
(e.g.
Maize)
Highest
yields
(local
units)
_________________
___________________
_________________
___________________
_________________
___________________
Land
cover
prior
to
agriculture:
Forest
Grass
or
shrubland
unknown
How
many
years
ago
was
it
covered
to
agriculture
(circle
one):
0-‐2
2-‐5
5-‐10
>10
unknown
Are
fertilizers
applied?
Yes
or
No
If
yes,
which
sub-‐plot?
__________________
YES,
FERTILIZERS
ARE
APPLIED
Type
Amount
Crop
_______
________
_________
_______
________
_________
_______
________
_________
_______
________
_________
Woody
cover
(%)
<4
4
-‐ 15
15
-‐ 40
40
-‐ 65
>65
Herbaceous
cover
(%):
<4
4
-‐ 15
15
-‐ 40
40
-‐ 65
>65
Visible
evidence
of
erosion
Rill
Sheet
Gully
none
What
is
your
best
plot
(or
subplot)
and
why?
Type
(eg)
UREA
CAN
MANURE
AMOUNT
=
PER
PLOT
ID
WHICH
CROP
Do
animals
graze
the
plot?
regularly
sometimes
never
Bo8on-‐
up:
field
characteris3cs
26. Bo8on-‐
up:
field
and
farm,
several
indicators
Farm
type
Field
type
Profit
($/
ha)
Produc3on
(kg/ha)
Emissions
(t
CO2eq
per
ha)
Emissions
(kg
CO2
per
kg
product)
Social
acceptability
(ranking)
1
1
50
500
0.6
1.2
1
1
2
140
5000
3
0.6
2
1
3
120
2000
2
1.0
2
1
4
40
4500
3
0.7
1
2
1
30
800
0.7
0.9
3
2
3
180
8000
3
0.4
2
2
4
250
300
0.5
1.7
1
n
m
Vn,m
Wn,m
Xn,m
Yn,m
Zn,m
27. 1 2 3 4 5
4 8 12
land class
CO2 emissions
1 2 3 4 5
−10 −4 0
Emissions data
land class
CH4 emissions
1 2 3 4 5
0.0 1.0
land class
N2O emissions
1 2 3
4 8 12
land class
CO2 emissions
land class CH4 emissions
1 2 3 −10 −4 0
1 2 3
0.0 1.0
land class
N2O emissions
annuals grass trees/shrubs
4 8 12
land class
CO2 emissions
annuals grass trees/shrubs
−10 −4 0
land class
CH4 emissions
annuals grass trees/shrubs
0.0 1.0
land class
N2O emissions
Highland Lowland Mid−slope
4 8 12
CO2 emissions
Highland Lowland Mid−slope
−10 −4 0
CH4 emissions
Highland Lowland Mid−slope
0.0 1.0
N2O emissions
Land%Class%
Field%Type%
Crop%Type%
Landscape%Posi3on%
CO2%Emissions%(T%ha:1)%
CH4%Emissions%(kg%ha:1)%
N2O%Emissions%(kg%ha:1)%
Pelster
et
al.
2014
Top-‐down
+
bo8on
up
28. How
to
iden3fy
mi#ga#on
op#ons
at
farm
and
landscape
level?
29. Complex
landscape:
f
(i,
j,
k,
l,
m)
i
Landscape
units
j
Farm
types
Physical
environment
Social
and
economic
environment
l
Field
types
Local
management
Define
project
interven3on
(LUC,
hotspots)
Income,
tenure,
food
security
GHG
emissions,
produc3vity,
economics
k
Common
lands
m
Land
types
Top-‐down
+
bo8on
up
30. Discussion
• Decide
on
what
ma8ers,
scale,
boundaries
• Address
heterogeneity:
landscape
units,
farm
types,
field
types,
farming
prac3ces
• Aim
at
low
cost,
but
collect
meaningful
data
31. Mariana C. Rufino, m.rufino@cgiar.org
SAMPLES
Standard
Assessment
of
Mi3ga3on
Poten3al
for
Smallholder
systems
h8p://www.samples.ccafs.cgiar.org/