Climate change and Rural Livelihoods in Northern Ethiopia
Climate change and Rural Livelihoods in Northern Ethiopia
Climate change and Rural Livelihoods in Northern Ethiopia
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Outl<strong>in</strong>e<br />
1. Introduction<br />
2. Methodology<br />
3. <strong>Climate</strong> <strong>change</strong>-<strong>in</strong>duced hazards<br />
4. Impacts<br />
5. Responses<br />
6. Suggested strategies<br />
7. Implications/policy <strong>and</strong> <strong>in</strong>stitutional<br />
<strong>in</strong>terventions
1. Introduction:<br />
The problem <strong>in</strong> general<br />
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The problem <strong>in</strong> particular<br />
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Objectives of the study<br />
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Methodology <strong>and</strong> approach<br />
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Region Zone Wereda Sample Kebeles Sample Size<br />
Amhara North Wello Meket<br />
Tigray Debubawi Zone Raya Azebo<br />
Mesf<strong>in</strong>a (024) 55<br />
Dibeko (026) 50<br />
Ade-Halga 60<br />
Hawelti 58<br />
Total 2 Zones 2 Weredas 4 Kebeles 223<br />
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Data sources <strong>and</strong> sampl<strong>in</strong>g<br />
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Literature <strong>and</strong> conceptual framework<br />
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Ra<strong>in</strong>fall Variability:<br />
National, Tigray & Arsi<br />
Mean annual ra<strong>in</strong>fall <strong>and</strong> C.V. <strong>in</strong><br />
drought-prone & non-drought<br />
prone areas (1980-2001)
Profile of Meket <strong>and</strong> Raya Azebo<br />
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Seasonal cropp<strong>in</strong>g calendar (Raya Azebo)
Seasonal cropp<strong>in</strong>g calendar (Meket)
Profile of Respondents<br />
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Sample Household Size<br />
Zone Wereda Kebele<br />
Male Female Total<br />
No % No % No %<br />
024 (Mesf<strong>in</strong>a) 37 24 15 22 52 23<br />
N.Wello<br />
Meket<br />
026 (Dibeko) 40 26 14 20 54 24<br />
D. Tigray Raya Azebo<br />
Ade Halga 35 23 25 36 60 27<br />
Hawelti 42 27 15 22 57 26<br />
Total 2 weredas 4 kebeles 154 100 69 100 223 100
Family Size <strong>and</strong> Education<br />
Study Wereda<br />
Family Size<br />
Meket Raya Azebo Total<br />
No % No % No %<br />
1-3 16 15.1 13 11.1 29 13.0<br />
4-6 61 57.5 67 57.3 128 57.4<br />
7-9 25 23.6 34 29.0 59 26.5<br />
10-15 4 3.8 3 2.6 7 3.1<br />
Total 106 100.0 117 100.0 223 100.0<br />
Educational status Meket Raya Azebo Total<br />
No. % No. % No. %<br />
Illiterate 53 50.0 49 41.9 102 45.7<br />
Read & write 22 20.8 17 14.5 39 17.5<br />
Primary (Grades 1-6) 24 22.6 40 34.2 64 28.7<br />
Post-primary 7 6.6 11 9.4 18 8.1<br />
Total 106 100.0 117 100.0 223 100.0
Livelihood Activities<br />
Study wereda<br />
Livelihood sources<br />
Meket Raya Azebo Total<br />
No % No % No %<br />
Crop cultivation 103 97.2 111 94.8 214 96.0<br />
Livestock sell<strong>in</strong>g/fatten<strong>in</strong>g 21 19.8 31 26.5 52 23.3<br />
Sell<strong>in</strong>g livestock products 39 36.8 18 15.4 57 25.6<br />
Bee keep<strong>in</strong>g 16 15.1 34 29.1 50 22.4<br />
Production/sell<strong>in</strong>g of vegetables, fruits 14 13.2 44 37.6 58 26.0<br />
Mak<strong>in</strong>g <strong>and</strong> sell<strong>in</strong>g of charcoal 13 12.3 11 9.4 24 10.8<br />
Sell<strong>in</strong>g firewood/cattle dung /fodder 39 36.8 30 25.6 69 30.9<br />
Sell<strong>in</strong>g water 16 15.1 15 12.8 31 13.9<br />
Incense <strong>and</strong> natural gum 7 6.6 7 6.0 14 6.3<br />
Collection/sell of wild leaves <strong>and</strong> fruits 11 10.4 17 14.5 29 24.8<br />
Extraction/sell<strong>in</strong>g m<strong>in</strong>erals 2 1.9 9 7.7 11 4.9<br />
Petty rural trade 67 63.2 33 28.2 100 44.8<br />
Seasonal labor migration/casual jobs 79 74.5 58 49.6 137 61.4<br />
Total 427 402.8 418 357.3 845 378.9
L<strong>and</strong> Hold<strong>in</strong>g…<br />
Do you own l<strong>and</strong><br />
Study wereda<br />
Meket Raya Azebo Total<br />
No. % No. % No. %<br />
Yes 103 97.2 111 94.9 214 96.0<br />
No 3 2.8 6 5.1 9 4.0<br />
Total 106 100.0 117 100.0 223 100.0<br />
Average size of cultivated l<strong>and</strong><br />
Mean S.D Mean S.D. Mean S.D.<br />
0.76 0.704 1.48 0.501 1.15 0.603<br />
Do U have enough l<strong>and</strong> for cultivation Meket Raya Azebo Total<br />
Yes 21 20.4 50 45.0 71 33.2<br />
No 82 79.6 61 55.0 143 66.8<br />
Total 103 100.0 111 100.0 214 100.0<br />
Use irrigation for grow<strong>in</strong>g crops Meket Raya Azebo Total<br />
Yes 13 12.6 27 24.3 40 18.7<br />
No 90 87.4 84 75.7 174 81.3<br />
Total 103 100.0 111 100.0 214 100.0
Livestock hold<strong>in</strong>g<br />
Wereda<br />
Meket<br />
Raya<br />
Azebo<br />
Wealth<br />
category<br />
Livestock wealth<br />
Oxen<br />
Cows Calves Shoats<br />
Donkeys<br />
&<br />
Horses<br />
Camels<br />
TLU<br />
Poor 0.2 0.5 1.1 1.6 0.0 0.0 0.93<br />
Middle 1.4 1.3 1.0 1.3 0.7 0.0 3.0<br />
Better-off 2.0 1.7 2.0 3.8 0.7 0.0 4.90<br />
Poor 0.4 0.7 1.1 1.6 0.0 0.0 1.37<br />
Middle 2.8 2.1 2.1 4.5 0.3 0.0 4.30<br />
Better-off 2.6 3.2 2.8 5.1 0.7 2.0 6.39
Patterns of the local climate<br />
Temperature variability <strong>and</strong> trends
Ra<strong>in</strong>fall variability <strong>and</strong> trends<br />
Number of ra<strong>in</strong>y days
Perceptions of climate variability <strong>and</strong> <strong>change</strong>
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Local perceptions: FGDs<br />
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Impacts of climate <strong>change</strong>-<strong>in</strong>duced hazards<br />
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Hazard type<br />
Number of Affected households<br />
Drought 22,810<br />
Pest/locust <strong>in</strong>festation 8,622<br />
Hailstorms/frost 6,415<br />
Snow 3161<br />
Total affected 41,008
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Crop harvest <strong>in</strong> 2008/09 compared to 2007/08<br />
Sample wereda<br />
Meket (n=103)<br />
Raya Azebo (n=111)<br />
Good 5.8 13.5<br />
Normal 10.7 14.4<br />
Poor 63.2 56.8<br />
Complete crop failure 18.4 8.1<br />
Did not farm at the time 1.9 7.2<br />
Total 100.0 100.0<br />
2008/09 harvest compared to the harvest 5 years before (<strong>in</strong> 2004/05) Meket Raya Azebo<br />
Good 6.8 8.0<br />
Normal 12.6 15.9<br />
Poor 51.5 53.0<br />
Complete crop failure 18.4 8.1<br />
Did not farm at the time 10.7 15.0<br />
Total 100.0 100.0<br />
2008/09 harvest compared to your harvest 10 years ago (1998/99) Meket Rsaa Azebo<br />
Good 2.9 4.4<br />
Normal 6.8 7.1<br />
Poor 58.3 62.7<br />
Complete crop failure 18.4 8.1<br />
Did not farm at the time 13.6 17.7<br />
Total 100.0 100.0<br />
2008/09 harvest compared to your harvest 20 years ago Meket Raya Azebo<br />
Good 2.9 6.2<br />
Normal 1.9 5.3<br />
Poor 50.6 53.0<br />
Complete crop failure 18.4 8.1<br />
Did not farm at the time 26.2 27.4<br />
Total 100.0 100.0
Labor availability at times of drought <strong>and</strong> major<br />
food <strong>in</strong>security<br />
Sample Weredas<br />
Meket (N=106) Raya Azebo (N=117)<br />
Increases - 12<br />
Decreases 100.0 86.3<br />
Rema<strong>in</strong> same - 1.7<br />
Total 100.0 100.0<br />
The occurrence <strong>and</strong> duration of drought <strong>and</strong> food <strong>and</strong><br />
water <strong>in</strong>security <strong>in</strong> your locality with time Meket (N=106) Raya Azebo (N=117)<br />
Intensified (got worse) 84.9 79.5<br />
Decl<strong>in</strong>ed (got better) 9.4 19.6<br />
Rema<strong>in</strong>ed same 5.7 0.9<br />
Total 100.0 100.0<br />
Number of food <strong>in</strong>secure households<br />
Year (E.C.) Meket Raya Azebo<br />
2001 52,293 (23%) 59,733 (43.9%)<br />
2000 57,535 67,733<br />
1999 59,505 59,733<br />
1998 51,300 62,000<br />
1997 49,582 82,000
Impacts on animal health <strong>and</strong> productivity<br />
Average livestock possession<br />
Livestock species<br />
<strong>in</strong> each wereda<br />
Oxen Cows Calves Shoats Camels Equ<strong>in</strong>es<br />
Meket<br />
Average livestock possession per 0.3 0.5 1.1 1.8 - 0.3<br />
household (as of August 2010)<br />
Average livestock possession per 0.5 0.7 2.4 3.1 - 0.7<br />
household <strong>in</strong> 2005/06<br />
Average livestock possession per 2.3 1.3 1.2 2.4 - 1.2<br />
household <strong>in</strong> 2000/01<br />
Average livestock possession per 2.4 2.8 2.3 7.1 - 1.6<br />
household 20 years ago<br />
Average livestock possession <strong>in</strong><br />
Oxen Cows Calves Shoats Camels Equ<strong>in</strong>es<br />
Raya Azebo<br />
Average livestock possession per 0.5 0.7 0.4 3.7 0.2 0.2<br />
household (as of August 2010)<br />
Average livestock possession per 1.1 1.6 2.2 3.7 0.1 0.2<br />
household <strong>in</strong> 2005/06<br />
Average livestock possession per 2.4 2.1 1.5 3.7 0.1 0.2<br />
household <strong>in</strong> 2000/01<br />
Average livestock possession per 2.7 2.8 2.2 9.6 - 0.4<br />
household 20 years ago
Impacts on human health <strong>and</strong> nutrition<br />
Year<br />
(E.C.)<br />
Number of people<br />
affected by malaria<br />
Common diseases (2002 E.C.)<br />
Raya Azebo Meket Diseases Raya Meket<br />
Azebo<br />
2001 10,881 4005 Malaria 6620 5685<br />
2000 23,583 - Diarrhea 4192 2911<br />
1999 62,764 - Parasite 2932 4005<br />
1998 113,609 5685 Respiratory 10,401 7285<br />
1997 61,267 - Sk<strong>in</strong> diseases 4655 2831
Gendered impacts<br />
Wereda<br />
Dur<strong>in</strong>g drought season<br />
Meket<br />
Raya Azebo<br />
To fetch water To collect<br />
firewood<br />
To fetch water To collect<br />
firewood<br />
Dur<strong>in</strong>g the last 5 years 10.2 16.1 6.9 12.7<br />
Dur<strong>in</strong>g the last 10 years 12.9 12.3 11.2 9.6<br />
Dur<strong>in</strong>g the Derg period 16.3 8.2 13.1 8.7<br />
Meket<br />
Raya Azebo<br />
Dur<strong>in</strong>g non-drought years To fetch water To collect<br />
firewood<br />
To fetch water To collect<br />
firewood<br />
Dur<strong>in</strong>g the last 5 years 6.1 8.7 4.7 9.4<br />
Dur<strong>in</strong>g the last 10 years 7.3 9.3 7.1 7.9<br />
Dur<strong>in</strong>g the Derg period 4.8 6.1 11.8 6.1
FGDs <strong>and</strong> <strong>in</strong>terview results:<br />
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Impacts on the local environment<br />
Wereda<br />
Change <strong>in</strong> forest woodl<strong>and</strong>/grassl<strong>and</strong> cover<br />
with time<br />
Meket (N=106)<br />
RayaAzebo<br />
(N=117)<br />
Decreased 89.6 51.3<br />
Increased 8.5 41.9<br />
No much <strong>change</strong> 1.9 6.8<br />
Total 100.0 100.0<br />
Compared to the past, problem of soil erosion Meket (N=102) Raya Azebo<br />
(N=114)<br />
Decreased 39.2 67.3<br />
Increased 58.9 32.7<br />
Rema<strong>in</strong>ed same 1.9 -<br />
Total 100.0 100.0<br />
Compared to the past, availability <strong>and</strong> Meket (N=103)<br />
volume of water<br />
Decreased 82.4 53.4<br />
Increased 12.6 39.7<br />
Rema<strong>in</strong>ed same 4.9 6.9<br />
Total 100.0 100.0<br />
Raya Azebo<br />
(N=116)
Impacts of climate <strong>change</strong> on key livelihood resources<br />
Key livelihood resources<br />
Natural capital<br />
Impacts<br />
• Soil erosion<br />
• Gulley formation<br />
• Deforestation<br />
• Loss of <strong>in</strong>digenous tree <strong>and</strong> grass species<br />
• Formation of localized deserts<br />
Physical capital<br />
• Dry<strong>in</strong>g up of spr<strong>in</strong>gs, ponds….<br />
• Destruction of physical <strong>in</strong>frastructure<br />
• Decrease <strong>in</strong> river run-off<br />
• Decrease <strong>in</strong> energy production<br />
• Flood <strong>and</strong> drought impacts<br />
Loss of <strong>in</strong>come from crops (crop damage, failure, reduced productivity)<br />
• Loss of <strong>in</strong>come from livestock (decreased market price, decreased<br />
productivity, emaciation <strong>and</strong> death)<br />
• Exp<strong>and</strong><strong>in</strong>g crop diseases<br />
• F<strong>in</strong>ancial capital Loss of <strong>in</strong>come from crops (crop damage, failure, reduced productivity)<br />
•<br />
Human capital Out-migration of adults<br />
• Increased age dependency<br />
• Increased workload on women <strong>and</strong> young people<br />
• Impacts on education, health <strong>and</strong> well-be<strong>in</strong>g<br />
• Poor hous<strong>in</strong>g <strong>and</strong> sanitation<br />
• Expansion of malaria to highl<strong>and</strong> areas<br />
Displacement<br />
•<br />
Social capital Out-migration<br />
• Family dislocation, separation, divorce<br />
• Weaken<strong>in</strong>g social ties<br />
• Erosion of <strong>in</strong>stitutions
Non-climate stressors affect<strong>in</strong>g rural livelihoods<br />
• Poverty <strong>and</strong> food <strong>in</strong>security<br />
• Environmental degradation<br />
• Population pressure<br />
• L<strong>and</strong> hunger (scarcity, fragmentation, security issues)<br />
• Poor health condition<br />
• Limited economic opportunities/social <strong>in</strong>frastructural services<br />
• Lack of access to relevant <strong>and</strong> up-to-date <strong>in</strong>formation <strong>and</strong> technology<br />
• Local power relations <strong>and</strong> marg<strong>in</strong>alization of some groups <strong>in</strong> access to credit,<br />
extension services, social networks<br />
• Discrim<strong>in</strong>ation based on gender <strong>and</strong> generation (age <strong>and</strong> sex)<br />
• Out-migration of young <strong>and</strong> able-bodied men (<strong>and</strong> women)<br />
• L<strong>and</strong> use conflicts
Current pressures & climate <strong>change</strong> threats to the ecosystem<br />
Basel<strong>in</strong>e Pressures<br />
• L<strong>and</strong>lessness<br />
• M<strong>in</strong>uscule plots<br />
• Resource degradation<br />
<strong>Climate</strong> Change Pressures<br />
•Increas<strong>in</strong>g temperature (impacts on<br />
soil moisture, crop growth,<br />
vegetation type, water stress)<br />
•Increas<strong>in</strong>g erosion (drought/flood)<br />
•Siltation<br />
•Flood-<strong>in</strong>deced l<strong>and</strong>slide<br />
•Inequitable access to<br />
l<strong>and</strong> <strong>and</strong> water resources<br />
•Cyclical drought/frost<br />
•Frost/hailstorms<br />
•L<strong>and</strong>slides<br />
•Lack of early warn<strong>in</strong>g<br />
systems<br />
•Reduced water quality & availability<br />
(drought/flood/pollution)<br />
•Chang<strong>in</strong>g seasonal water<br />
distribution<br />
•Siltation, sal<strong>in</strong>ization<br />
•Intensify<strong>in</strong>g drought/hail<br />
•Severe flood/drought<br />
•Novel disasters (diseases, pests…)
Livelihood (Vulnerability) profil<strong>in</strong>g<br />
Highly Vulnerable<br />
Livelihood Groups<br />
• L<strong>and</strong>less<br />
• Small <strong>and</strong> marg<strong>in</strong>al farmers<br />
• H<strong>and</strong>icrafts<br />
• Petty traders<br />
• Agricultural wage laborers<br />
Viable /Less Vulnerable<br />
Livelihood Groups<br />
• Urban based farmers/traders<br />
• <strong>Rural</strong> livestock <strong>and</strong> commodity traders<br />
• ‘Rich’/large farmers<br />
• Households with diversified <strong>in</strong>come<br />
sources
Vulnerability <strong>and</strong> livelihood analysis<br />
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-Farm <strong>and</strong> non-farm workers<br />
-Agriculture based wage laborers<br />
Viable groups<br />
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Asset bases of livelihood groups<br />
Vulnerable groups<br />
Viable groups
Adaptive responses by livelihood groups<br />
L<strong>and</strong>less <strong>and</strong><br />
marg<strong>in</strong>al farmers<br />
• Smooth<strong>in</strong>g/adjust<strong>in</strong>g<br />
consumption<br />
• Eat<strong>in</strong>g wild/fam<strong>in</strong>e food<br />
• Seek<strong>in</strong>g food aid/cash transfers<br />
• Begg<strong>in</strong>g/borrow<strong>in</strong>g from relatives<br />
• Public works (food-for- work)<br />
• Herd<strong>in</strong>g livestock of other<br />
families<br />
• Farm<strong>in</strong>g on sharecropp<strong>in</strong>g<br />
arrangements<br />
• Sell of charcoal/firewood<br />
• Dung cake preparation <strong>and</strong><br />
sell<strong>in</strong>g<br />
• Sell of fodder <strong>and</strong> grasses<br />
• Casual labor<br />
• Sell<strong>in</strong>g water<br />
• Desperate out-migration<br />
Agriculture-based<br />
off-farm workers<br />
• Modify<strong>in</strong>g farm<strong>in</strong>g practices<br />
• Water harvest<strong>in</strong>g/storage<br />
• Irrigation agriculture<br />
• Comb<strong>in</strong><strong>in</strong>g multiple occupations<br />
• Livestock husb<strong>and</strong>ry <strong>and</strong> poultry<br />
• Migration (seasonal <strong>and</strong> cyclical)<br />
• Homestead garden<strong>in</strong>g<br />
• Bee-keep<strong>in</strong>g<br />
• Petty trade<br />
• Crafts work<br />
• Livestock fatten<strong>in</strong>g<br />
• Early sell<strong>in</strong>g of weak <strong>and</strong> sick<br />
livestock<br />
• Diversify<strong>in</strong>g livelihood activities<br />
• Sav<strong>in</strong>gs <strong>and</strong> credit<br />
• Invest <strong>in</strong> the education of children<br />
• Tree plant<strong>in</strong>g<br />
Viable groups<br />
• Comb<strong>in</strong><strong>in</strong>g multiple occupations<br />
• Mortgag<strong>in</strong>g properties<br />
• Retail trade<br />
• Invest<strong>in</strong>g <strong>in</strong> soil <strong>and</strong> water<br />
conservation<br />
• Homestead garden<strong>in</strong>g<br />
• Mortgag<strong>in</strong>g properties<br />
• Sell of bus<strong>in</strong>ess/seed money<br />
• Cash crop production<br />
• Sav<strong>in</strong>g gra<strong>in</strong>s<br />
• Borrow<strong>in</strong>g money to poor<br />
households (with high <strong>in</strong>terest)<br />
• Modify<strong>in</strong>g livestock diversity<br />
(Switch<strong>in</strong>g from grazers to<br />
browsers)<br />
• Sav<strong>in</strong>gs <strong>and</strong> credit<br />
• Invest<strong>in</strong>g <strong>in</strong> education
Vulnerability of female headed households<br />
Major cause of drought, fam<strong>in</strong>e <strong>and</strong> food <strong>in</strong>security<br />
Wereda<br />
Meket<br />
(N=29)<br />
Raya<br />
(N=40)<br />
Total<br />
(N=69)<br />
Ra<strong>in</strong> failure/erraticity/heat waves 37.9 52.5 46.4<br />
Intensive ra<strong>in</strong>/hailstorm/frost/snow 13.8 5.0 8.7<br />
Diseases <strong>and</strong> pests 6.9 17.5 13.1<br />
L<strong>and</strong> degradation//soil erosion/deforestation 20.7 12.5 15.9<br />
Socio-economic <strong>and</strong> political factors 13.8 7.5 10.1<br />
God’s order 6.9 5.0 5.8<br />
Total 100 100 100<br />
Vulnerability factors/for FHHs<br />
<strong>Climate</strong> (ra<strong>in</strong>fall, temperature, hailstorm) 34.5 50.0 43.5<br />
Nature (natural disasters, God’s will) 17.2 12.5 14.5<br />
Human (household characteristics) <strong>and</strong> <strong>in</strong>stitutional factors 6.9 10.0 8.7<br />
Socio-cultural 10.3 2.5 5.8<br />
Economic limitations (f<strong>in</strong>ancial, technological, l<strong>and</strong>, livestock) 31.1 25.0 27.5<br />
Total 100 100 100<br />
Meket Raya Meket<br />
(N=106) (N=117) (N=223)<br />
Most vulnerable groups<br />
1. The l<strong>and</strong>less 34.9 27.4 30.9<br />
2. Those with few or no livestock 28.3 35.0 31.8<br />
3. Those with large family/high age dependency 12.2 18.0 15.2<br />
4. Women/female headed households (lack of male labour) 18.9 16.2 17.6<br />
5. Others 5.7 3.4 4.5<br />
Total 100 100 100
Responses <strong>and</strong> cop<strong>in</strong>g strategies<br />
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Barriers<br />
Wereda<br />
Barriers<br />
Meket<br />
Raya Azebo<br />
Male Female Male Female<br />
F<strong>in</strong>ancial 55.3 72.9 58.1 67.8<br />
Natural (l<strong>and</strong> <strong>and</strong> water shortages, poor soil, slope…) 53.5 44.5 37.5 38.7<br />
Agricultural <strong>in</strong>puts, farm size) 31.1 5.7 24.3 21.5<br />
Technological 23.5 7.6 10.4 12.3<br />
Infrastructural/socio-economic services 21.2 12.8 11.6 3.5<br />
Personal <strong>and</strong> household (<strong>in</strong>formation, education, 12.1 37.5 9.6 21.3<br />
family size, networks)<br />
Socio-cultural & political 11.5 21.4 3.9 5.6<br />
Others 8.3 10.6 2.1 7.3<br />
Total 226.5 213.0 157.5 178.0
Suggested strategies for respond<strong>in</strong>g to climate <strong>change</strong><br />
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