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For 
detailed 
assessment 
of 
climate 
change 
and 
intensifica3on 
op3ons 
more 
detailed 
analyses 
at 
farm 
household 
level 
are 
performed. 
Here 
examples 
of 
a 
maize 
yield 
risk 
analysis 
(in 
kg/ 
ha; 
le@) 
and 
a 
trade 
off 
analysis 
in 
the 
use 
of 
crop 
residues 
(5 
alloca3on 
strategies 
at 
3 
levels 
of 
manure 
use 
efficiency 
for 
a 
system 
in 
central 
Zimbabwe. 
(Rurinda, 
2014; 
Rusinamhodze, 
2013; 
PhD 
theses, 
jointly 
with 
Wageningen 
University) 
Farming 
systems 
analysis 
and 
modelling 
in 
the 
Livestock 
Systems 
and 
Environment 
group 
of 
ILRI 
Mark 
van 
Wijk, 
Sabine 
Douxchamps, 
Randall 
Ritzema 
and 
Romain 
Frelat 
Quan3fy 
outreach 
poten<al 
of 
interven3ons 
based 
on 
back-­‐of-­‐the-­‐ 
envelope 
calcula3ons 
Zooming 
in: 
perform 
detailed 
site 
specific 
evalua3on 
of 
interven3ons 
with 
models 
Adapt 
indicator 
list 
and 
analyses 
methods 
Par<cipatory 
evalua<on 
of 
indicators 
and 
calcula3ons 
Calculate 
diversity 
of 
indicator 
levels 
within 
farm 
popula3ons 
We 
follow 
a 
circular 
approach 
in 
which 
par3cipatory 
evalua3on 
of 
our 
methods 
and 
indicators 
by 
local 
experts 
and 
farmers 
is 
key 
(see 
the 
central 
diagram 
for 
a 
few 
examples). 
Current 
analyses 
focus 
on 
the 
quan3fica3on 
of 
(components 
of) 
food 
security 
across 
a 
wide 
range 
of 
systems 
in 
the 
developing 
world 
We 
have 
developed 
an 
extensive 
toolkit: 
-­‐ Comprehensive 
and 
mini 
surveys 
to 
collect 
panel 
data 
-­‐ A 
range 
of 
household 
models 
-­‐ A 
data 
base 
of 
household 
panel 
data 
(SSA, 
CA 
and 
SEA 
-­‐ Standardized 
tools 
for 
food 
security 
analyses 
Some 
key 
recent 
references 
S. 
Douxchamps 
et 
al. 
Linking 
agricultural 
adapta3on 
strategies 
and 
food 
security: 
evidence 
from 
West 
Africa. 
Global 
Environmental 
Change, 
submiVed 
R.S. 
Ritzema 
2014. 
Aqueous 
Produc3vity: 
An 
enhanced 
produc3vity 
indicator 
for 
water. 
Journal 
of 
Hydrology, 
517(0): 
628-­‐642. 
M.T. 
van 
Wijk. 
From 
global 
economic 
modelling 
to 
household 
level 
analyses 
of 
food 
security 
and 
sustainability: 
how 
big 
is 
the 
gap 
and 
can 
we 
bridge 
it? 
Food 
Policy, 
in 
press. 
M.T. 
van 
Wijk, 
et 
al.. 
2014. 
Farm 
household 
modelling 
and 
its 
role 
in 
designing 
climate-­‐resilient 
agricultural 
systems. 
Global 
Food 
Security 
3, 
77-­‐84. 
Klapwijk 
L, 
M.T. 
van 
Wijk, 
et 
al. 
2014. 
Trade-­‐off 
Analysis 
in 
(Tropical) 
Agricultural 
Systems. 
Current 
Opinion 
in 
Environmental 
Sustainability 
6, 
110 
– 
115. 
Food 
Security 
Ratio: 
Senegal 
Site 
We 
have 
developed 
tools 
to 
quickly 
assess 
simple 
food 
security 
(FS) 
indicators, 
and 
to 
quan3fy 
the 
contribu3on 
of 
different 
on 
and 
off 
farm 
ac3vi3es 
to 
FS. 
Here 
an 
example 
of 
analysis 
results 
we 
have 
now 
for 
more 
than 
12k 
households 
across 
SSA 
In 
a 
wide 
range 
of 
systems 
livelihood 
typologies 
have 
been 
developed 
and 
key 
indicators 
for 
these 
types 
have 
been 
quan3fied. 
Above 
an 
example 
from 
West 
Africa, 
with 
market 
orienta3on 
and 
food 
security 
as 
key 
indicators 
for 
the 
4 
types. 
These 
four 
types 
are 
then 
related 
to 
adop3on 
rates 
of 
climate 
smart 
prac3ces. 
In 
collabora3on 
with 
partners 
at 
Wageningen 
U., 
Lund 
U., 
CSIRO, 
IITA, 
ICRAF, 
CIMMYT 
and 
others 
we 
have 
built 
a 
database 
of 
more 
than 
25k 
farm 
household 
level 
panel 
data 
(the 
sites 
analysed 
(12k) 
are 
shown 
here) 
We 
assess 
the 
poten3al 
of 
different 
interven3ons 
to 
make 
a 
difference 
in 
the 
livelihoods 
of 
smallholder 
farmers. 
Here 
an 
example 
of 
the 
limited 
effects 
of 
even 
a 
50% 
yield 
increase 
on 
the 
livelihoods 
of 
the 
poorest 
farmers 
(le@; 
FS 
(food 
security) 
ra3o 
group 
between 
0 
and 
0.5), 
showing 
that 
for 
them 
transforma3onal 
change 
is 
needed 
(right, 
a 
scenario 
with 
an 
opportunity 
for 
a 
yearly 
$200 
off 
farm 
income) 
This 
document 
is 
licensed 
for 
use 
under 
a 
Crea3ve 
Commons 
AVribu3on 
– 
Non 
commercial-­‐Share 
Alike 
3.0 
Unported 
License 
November 
2014 
We 
deal 
with 
ques3ons 
like: 
-­‐ Can 
we 
iden3fy 
robust 
interven3ons 
that 
cut 
across 
systems 
and 
socio-­‐ 
economic 
scenarios? 
-­‐ Can 
we 
upscale 
strategies 
to 
quan3fy 
investment 
needs 
in 
interven3ons?

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Farming systems analysis and modelling in the Livestock Systems and Environment group of ILRI

  • 1. For detailed assessment of climate change and intensifica3on op3ons more detailed analyses at farm household level are performed. Here examples of a maize yield risk analysis (in kg/ ha; le@) and a trade off analysis in the use of crop residues (5 alloca3on strategies at 3 levels of manure use efficiency for a system in central Zimbabwe. (Rurinda, 2014; Rusinamhodze, 2013; PhD theses, jointly with Wageningen University) Farming systems analysis and modelling in the Livestock Systems and Environment group of ILRI Mark van Wijk, Sabine Douxchamps, Randall Ritzema and Romain Frelat Quan3fy outreach poten<al of interven3ons based on back-­‐of-­‐the-­‐ envelope calcula3ons Zooming in: perform detailed site specific evalua3on of interven3ons with models Adapt indicator list and analyses methods Par<cipatory evalua<on of indicators and calcula3ons Calculate diversity of indicator levels within farm popula3ons We follow a circular approach in which par3cipatory evalua3on of our methods and indicators by local experts and farmers is key (see the central diagram for a few examples). Current analyses focus on the quan3fica3on of (components of) food security across a wide range of systems in the developing world We have developed an extensive toolkit: -­‐ Comprehensive and mini surveys to collect panel data -­‐ A range of household models -­‐ A data base of household panel data (SSA, CA and SEA -­‐ Standardized tools for food security analyses Some key recent references S. Douxchamps et al. Linking agricultural adapta3on strategies and food security: evidence from West Africa. Global Environmental Change, submiVed R.S. Ritzema 2014. Aqueous Produc3vity: An enhanced produc3vity indicator for water. Journal of Hydrology, 517(0): 628-­‐642. M.T. van Wijk. From global economic modelling to household level analyses of food security and sustainability: how big is the gap and can we bridge it? Food Policy, in press. M.T. van Wijk, et al.. 2014. Farm household modelling and its role in designing climate-­‐resilient agricultural systems. Global Food Security 3, 77-­‐84. Klapwijk L, M.T. van Wijk, et al. 2014. Trade-­‐off Analysis in (Tropical) Agricultural Systems. Current Opinion in Environmental Sustainability 6, 110 – 115. Food Security Ratio: Senegal Site We have developed tools to quickly assess simple food security (FS) indicators, and to quan3fy the contribu3on of different on and off farm ac3vi3es to FS. Here an example of analysis results we have now for more than 12k households across SSA In a wide range of systems livelihood typologies have been developed and key indicators for these types have been quan3fied. Above an example from West Africa, with market orienta3on and food security as key indicators for the 4 types. These four types are then related to adop3on rates of climate smart prac3ces. In collabora3on with partners at Wageningen U., Lund U., CSIRO, IITA, ICRAF, CIMMYT and others we have built a database of more than 25k farm household level panel data (the sites analysed (12k) are shown here) We assess the poten3al of different interven3ons to make a difference in the livelihoods of smallholder farmers. Here an example of the limited effects of even a 50% yield increase on the livelihoods of the poorest farmers (le@; FS (food security) ra3o group between 0 and 0.5), showing that for them transforma3onal change is needed (right, a scenario with an opportunity for a yearly $200 off farm income) This document is licensed for use under a Crea3ve Commons AVribu3on – Non commercial-­‐Share Alike 3.0 Unported License November 2014 We deal with ques3ons like: -­‐ Can we iden3fy robust interven3ons that cut across systems and socio-­‐ economic scenarios? -­‐ Can we upscale strategies to quan3fy investment needs in interven3ons?