Rufino Informed sampling for targeting mitigation Nov 10 2014
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Transcript of Rufino Informed sampling for targeting mitigation Nov 10 2014
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Informed sampling for testing
mitigation options
Mariana C. Rufino
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SAMPLES
Standard Assessment of Mi3ga3on Poten3al for
Smallholder systems
h8p://www.samples.ccafs.cgiar.org/
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Three messages
• Decide on what ma8ers, scale, boundaries
• Address heterogeneity, don’t ignore it • Aim at low cost, but collect meaningful data
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How to iden3fy mi#ga#on op#ons at farm and landscape level?
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Complex landscape: f (i, j, k, l, m)
i Landscape units
j Farm types Social and economic
environment
l Field types Local management
Physical environment
Define project
interven3on (LUC,
hotspots)
Income, tenure, food security
GHG emissions, produc3vity, economics
k Common lands
m Land types
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Complex landscape: f (i, j, k, l, m)
i Landscape units
j Farm types Social and economic
environment
l Field types Local management
Physical environment
k Common lands
m Land types
Top-‐down
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Complex landscape: f (i, j, k, l, m)
i Landscape units
j Farm types Social and economic
environment
l Field types Local management
Physical environment
k Common lands
m Land types Bo8on-‐up
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Which prac3ces and what benefits?
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What ma8ers at landscape level?
• Soils • Eleva3on gradients • Vegeta3on pa8erns
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Top-‐down: first step
Quickbird image, Lower Nyando, western Kenya
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Top-‐down: zooming in
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Top-‐down: eleva3on gradient?
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Top-‐down: eleva3on gradient
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What ma8ers at landscape level?
• Soils • Eleva3on gradients • Vegeta3on pa8erns
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Top-‐down: soil types
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Mean NDVI 2001 2002 2003 2004
2005 2006 2007 2008
2009 2010 2011 2012
MODIS 3me series – Nyando, western Kenya
Top-‐down: vegeta3on pa8ers
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Slope (%)
Top-‐down: slope
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What ma8ers at landscape level?
• Soils (too coarse, excluded) • Eleva3on gradients (DEM and slope)
• Vegeta3on pa8erns (NDVI analysis)
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Top-‐down: landscape units
Landscape units: Vegeta3on pa8erns + eleva3on + slope
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Which prac3ces and what benefits?
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What ma8ers at farm and field level?
• Crops, trees, livestock • Input use (fer3lisers, crop residues, water) • Produc3vity • Economics
• Tenure
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Complex landscape: f (i, j, k, l, m)
i Landscape units
j Farm types Social and economic
environment
l Field types Local management
Physical environment
k Common lands
m Land types Bo8on-‐up
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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
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Top-‐down + bo8on up
Landscape units and land users -‐> basis for sampling
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Field typology survey Date:Surveyor:
HH ID: ______________________ Name of respondent:___________________PLOT LOCATION AND SIZESouth_______________ East________________ Error________
Plot Subplot Subplot SubplotID
Area (m2)
Land cover
Photo ID
Land tenure: Communal Rented Owned
Does the farmer burn the plot? regularly sometimes never
Agricultural practicesCrops commonly planted in fieldCrop (e.g. Maize) Highest yields (local units)_________________ ____________________________________ ____________________________________ ___________________
Land cover prior toagriculture: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 APPLIEDType 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)UREACANMANUREAMOUNT = PER PLOTID WHICH CROP
Do animals graze the plot? regularly sometimes never
Bo8on-‐ up: field characteris3cs
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Farmtype
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
Bo8on-‐ up: field and farm, several indicators
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1 2 3 4 5
48
12
land class
CO2
emiss
ions
1 2 3 4 5
−10
−40
Emissions data
land class
CH4
emiss
ions
1 2 3 4 5
0.0
1.0
land class
N2O
em
issio
ns
1 2 3
48
12
land class
CO2
emiss
ions
1 2 3−1
0−4
0land class
CH4
emiss
ions
1 2 3
0.0
1.0
land class
N2O
em
issio
ns
annuals grass trees/shrubs
48
12
land class
CO2
emiss
ions
annuals grass trees/shrubs
−10
−40
land class
CH4
emiss
ions
annuals grass trees/shrubs
0.0
1.0
land class
N2O
em
issio
nsHighland Lowland Mid−slope
48
12CO
2 em
issio
ns
Highland Lowland Mid−slope
−10
−40
CH4
emiss
ions
Highland Lowland Mid−slope0.
01.
0N2
O e
miss
ions
Land%Class%
Field%Type%
Crop%Type%
Landscape%Posi3on%
CO2%E
missions%(T
%ha:
1 )%
CH4%Em
issions%(kg%ha
:1)%
N2O
%Emissions%(kg%ha
:1)%
Pelster et al. 2014
Top-‐down + bo8on up
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How to iden3fy mi#ga#on op#ons at farm and landscape level?
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Complex landscape: f (i, j, k, l, m)
i Landscape units
j Farm types Social and economic
environment
l Field types Local management
Physical environment
Define project
interven3on (LUC,
hotspots)
Income, tenure, food security
GHG emissions, produc3vity, economics
k Common lands
m Land types
Top-‐down + bo8on up
![Page 30: Rufino Informed sampling for targeting mitigation Nov 10 2014](https://reader034.fdocuments.us/reader034/viewer/2022042614/5591aa271a28ab4b6b8b45c1/html5/thumbnails/30.jpg)
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
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Mariana C. Rufino, [email protected]
SAMPLES Standard Assessment of Mi3ga3on Poten3al for Smallholder systems h8p://www.samples.ccafs.cgiar.org/