by: S. Douxchamps, E.K. Panyan, A. Kaboré, B. Sawadogo, F.K. Avornyo, K. Ouattara, N. Karbo, and A. Ayantunde
Presented at the Final Volta Basin Development Challenge Science Workshop, September 2013
Driving Behavioral Change for Information Management through Data-Driven Gree...
AWM and livelihoods in the crop livestock systems of the Volta basin
1. AWM and livelihoods
in the crop-livestock
systems of the
Volta Basin
S. Douxchamps, E.K. Panyan, A. Kaboré, B. Sawadogo, F.K. Avornyo, K. Ouattara, N. Karbo, A. Ayantunde
3. introduction
Background
▪ livelihood: means of securing the basic necessities for life (food, water, shelter, clothing).
▪ AWM increases livelihoods by
↑ agricultural productivity, ↑nutrition and health, ↑ employment and income
↓ risks and vulnerability
…
▪ evidences are scarce
▪ quantification of impact of AWM on livelihoods is a challenge
4. introduction
Background
▪ livelihood: means of securing the basic necessities for life (food, water, shelter, clothing).
▪ AWM increases livelihoods by
↑ agricultural productivity, ↑nutrition and health, ↑ employment and income
↓ risks and vulnerability
…
▪ evidences are scarce
▪ quantification of impact of AWM on livelihoods is a challenge
Hypotheses
Objective
▪ to characterize crop-livestock households in four contrasting sites in the dry areas of the Volta Basin
in terms of access to water and to services and information, AWM practice and livelihoods
▪ to explore and quantify the linkages between these characteristics
AWM practice ↑ Livelihoods ↑
Access to water
Access to services
and information
5. Sampling
▪ 4 sites ~ N-S gradient and access to market
▪ 4 villages/site ~ population density
access to water infrastructures
involvement in projects
conflict free community
▪ 25 households/village ~ crop-livestock farming
random
→ final sample size: 326 households
Survey
▪ household composition
▪ household assets (land, livestock, farm and
domestic assets) and housing condition
▪ income
▪ food consumption
▪ AWM practices
▪ water sources
▪ access to services and information on AWM
material & methods
(Source: GLOWA)
Njuki et al., 2011
6. material & methods
Indicators
Dimension Indicators
Range or percentage
of total
Income Income (USD) 0 - 9306
Sources of income 0 - 8
Assets Assets (USD) 0 - 5280
Housing index 1 - 6
Land assets (ha) 0 - 31
Livestock assets (TLU) 0 - 69
Food security Food consumption score 10 - 93
Practice Intensity -3 - 21
Training 17
Services 31
Weather 21
Sources of information 0 - 5
Access for livestock 0 - 5
Sources crop-livestock 0 - 10
Labour Labour 0 - 105
Access to
information
and services
Access to water
∑ Quality factori
i = 1
5
∑ (Frequencyi [days/week] * Factori)
i = 1
12
Njuki et al., 2011; Sullivan et al., 2008
∑ Intensityi
i = 1
14
∑ Frequencyi
i = 1
33
Scaling:
xi-xmin
xmax-xmin
7. results
Livelihoods
Country Site
mean SD mean SD mean SD
Burkina Faso Ouahigouya 5.3 4.2 3.4 3.2 52 13
Koubri 5.4 4.6 6.3 8.6 39 10
Ghana Lawra 2.8 1.7 3.4 3.1 51 16
Tolon-Kumbugu 5.0 4.4 5.5 6.7 47 19
TLU: Tropical Livestock Unit
Food consumptionLivestock assets (TLU)Land assets (ha)
Country Site
median range mean SD median range mean SD
Burkina Faso Ouahigouya 99 0 - 3168 1.3 0.7 393 0 - 3012 2.1 0.5
Koubri 238 0 - 9306 2.6 1.2 882 0 - 4138 2.2 0.6
Ghana Lawra 19 0 - 1617 1.8 1.2 145 0 - 5280 2.8 0.9
Tolon-Kumbugu 367 0 - 5952 2.6 1.2 269 0 - 3603 2.6 0.9
Assets value (USD)Income (USD) Sources of income Housing index
9. a b c b a ab
a a a a a a
b a a b a a
results
Linkages
10. a b c a ab b
a a b a a a
b b a a ab b
results
Linkages
11. conclusions
Key messages
▪ Most of the farmers perceived a strong positive impact of AWM strategies on their livelihoods
▪ Diversity of sources of water and diversity of sources of information played a major role in
increasing the intensity of AWM practice
▪ Income would increase for 75% of smallholder crop-livestock farmers of the basin, if access to
services and information would be improved
▪ Enabling vs. limiting factor: labour capacities available for water-related activities
▪ Access to water increased food security
▪ Important proportion of the variation in the data set was not explained: include additional
environmental factors as well as field measurements
(Source: Deserto Verde Burkinabé)
13. results
Access to water and to services and information
0
5
10
15
20
25
30
35
40
45
50
Trained in
AWM
Service
available
Information
on weather
%ofhouseholds
Ouahigouya
Koubri
Lawra
Tolon-Kumbugu
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
Information Water
Ouahigouya
Koubri
Lawra
Tolon
Diversity of sources
0.00
0.50
1.00
Distanceto water source
Ouahigouya Koubri Lawra Tolon-Kumbugu
0.00
0.50
1.00
1.50
2.00
2.50
3.00
Distanceto
water source
Ouahigouya Koubri Lawra
14. 1 2 3 4
Proportion of the variation explained 0.164 0.136 0.101 0.093
Cumulative proportion 0.164 0.300 0.401 0.494
Dimension Indicators
Income Income (USD) 0.446
Sources of income 0.382
Assets Assets (USD) 0.448
Housing index 0.251
Land assets (ha) 0.404
Livestock assets (TLU) -0.454
Training -0.365 -0.449
Services -0.415 -0.359
Weather -0.369 -0.324
Sources of information 0.641
Access for livestock -0.309
Sources crop-livestock -0.381 0.436
Practice Intensity -0.326 0.396 0.334
Labour Labour -0.419 0.304
Principal components
Access to information
and services
Access to water
results
PCA loadings
15. results
Sources of information
0
10
20
30
40
50
Ouahigouya Koubri Lawra Tolon-Kumbugu
%ofhou
0
10
20
30
40
50
60
70
80
90
100
Ouahigouya Koubri Lawra Tolon-Kumbugu
%ofhouseholds
Rainwater management
Government NGO Farmer/farmer group
Paravets Private entrepreneur Research organisation
Radio TV
16. results
Effect of the site
Livelihood Practice Access Labour
Ouahigouya a a bc a
Koubri b a a a
Lawra ab a bc b
Tolon-Kumbugu a a c b
P 0.005 ** 0.022 * 0.000 *** 0.000 ***
Different letters within the same columns indicate significantly different means (P<0.05, Tukey HSD test).
17. results
Sources of water for livestock consumption
0
10
20
30
40
50
60
70
80
90
100
Cold dry Hot dry Rainy
%ofhouseholdbenefiting
fromthewatersource
Seasons
Ouahigouya
Rainwater
Open well
Hand pumped well
River/stream
Standing pool
Pipe
Dam
Smallreservoir
Borehole
0
10
20
30
40
50
60
70
80
90
100
Cold dry Hot dry Rainy
Seasons
Koubri
Rainwater
Open well
Hand pumped well
River/stream
Standingpool
Pipe
Dam
Small reservoir
Borehole
0
10
20
30
40
50
60
70
80
90
100
Cold dry Hot dry Rainy
%ofhouseholdbenefiting
fromthewatersource
Seasons
Lawra
Rainwater
Open well
Hand pumped well
River/stream
Standing pool
Pipe
Dam
Smallreservoir
Borehole
0
10
20
30
40
50
60
70
80
90
100
Cold dry Hot dry Rainy
Seasons
Tolon-Kumbugu
Rainwater
Open well
Hand pumped well
River/stream
Standingpool
Pipe
Dam
Small reservoir
Borehole
18. results
Labour calendar
0
10
20
30
40
50
60
70
80
90
100
%ofhouseholds
Ouah rainy
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Ouah 2
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Ouah 3
Daily
Every 3 w
Weekly
Every 2 w
Monthly
Rarely
0
10
20
30
40
50
60
70
80
90
100
%ofhouseholds
Ouah rainy
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Ouah 2
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Koubri 3
Daily
Every 3 w
Weekly
Every 2 w
Monthly
Rarely
0
10
20
30
40
50
60
70
80
90
100
%ofhouseholds
Ouah rainy
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Ouah 2
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Lawra 3
Daily
Every 3 w
Weekly
Every 2 w
Monthly
Rarely
0
10
20
30
40
50
60
70
80
90
100
%ofhouseholds
Ouah rainy
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely0
10
20
30
40
50
60
70
80
90
100
Ouah 2
Daily
Every 3 weeks
Weekly
Every 2 weeks
Monthly
Rarely
0
10
20
30
40
50
60
70
80
Tolon 3
Daily
Every 3 w
Weekly
Every 2 w
Monthly
Rarely
OuahigouyaKoubriLawraTolon-Kumbugu
Rainyseason Cold dry season Hot dry season
Fetchingwaterfromthewell
Fetchingwaterfromtheriver
Collectingandstoringrainwater
Cleaningwatercontainers
Wateringlivestock
Wateringgarden
Irrigatingcrops
Applyingwaterharvestingtechniques
Fetchingwaterfromthewell
Fetchingwaterfromtheriver
Collectingandstoringrainwater
Cleaningwatercontainers
Wateringlivestock
Wateringgarden
Irrigatingcrops
Applyingwaterharvestingtechniques
Fetchingwaterfromthewell
Fetchingwaterfromtheriver
Collectingandstoringrainwater
Cleaningwatercontainers
Wateringlivestock
Wateringgarden
Irrigatingcrops
Applyingwaterharvestingtechniques
0
10
20
30
40
50
60
70
80
Tolon 3
Daily Every 3 days Weekly Every 2 weeks Monthly Rarely
Notas do Editor
No facts about the volta basinthis time, as already the 2nddayyou must know it allLivelihood: differentcapitals… (sustainablelielihoodframework) ideaisthatit influences all capitals: see Jennie et al yesterdayCan we quantify this linkage with the data collected in V2 sites?It iscommonlyadmitedthat AWM increaseslivelihoods, by…. However: evidences are scarces. Furthercomplicatedbecausecomplex concept, numerous potential indicators, numerous influencing factors
No facts about the volta basinthis time, as already the 2nddayyou must know it allLivelihood: differentcapitals… (sustainablelielihoodframework) ideaisthatit influences all capitals: see Jennie et al yesterdayCan we quantify this linkage with the data collected in V2 sites?It iscommonlyadmitedthat AWM increaseslivelihoods, by…. However: evidences are scarces. Furthercomplicatedbecausecomplex concept, numerous potential indicators, numerous influencing factors
= V2 sitesCriteria for village selectionSurvey implemented by INERA and ARI in october and november 2011
Range for quantitative,percentage of total for categorical variablesRooms, floor, walls, roofing, lightingTypes of foodIntensity: 0 to 3, fo 14 different practices: zai, stone bunds, half-moons, smallreservoirs, life barriers, composting, use of manure, etc…Scaling + linearcombinations: rural water livelihood index (FAO/Sullivan)
Median and range forveryskewed variables
Proportion of households practicing AWM technologies, in % of responses, and % of households practicing the technology characterizing the impact of these technologies on crop and livestock productivity and livelihoods as moderate to very strong.
Livelihoods, intensity of AWM practice, and labour for three groups of contrasting access to water (a) and to information and services (b). Different letters per plot indicate significantly different means (P<0.05).Most of the hh are in the medium access group
Radiois major canal for informationMost of the hh are in the lowaccess group