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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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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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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 />

<br />

<br />

-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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Strength of <strong>and</strong> lessons to be learnt from<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


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