adaptation at scale in semi- arid regions...adaptation at scale in semi-arid regions: presented on...
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![Page 1: Adaptation at Scale in Semi- Arid Regions...Adaptation at Scale in Semi-Arid Regions: Presented on behalf of the ASSAR Team by Prof. Chris Gordon, Ghana Country Lead](https://reader034.vdocument.in/reader034/viewer/2022051812/602d6174c9352f1698392dfb/html5/thumbnails/1.jpg)
Adaptation atScale in Semi-AridRegions:
Presented on behalf of the ASSAR Team byProf. Chris Gordon, Ghana Country Lead
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Namibia
Botswana
Ethiopia
Kenya
India
Mali
Ghana
Adapt to climate change
and climate variability
Semi-arid areas
Improve the lives of the most marginalised.
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Namibia
Botswana
Ethiopia
Kenya
India
Mali
Ghana
Improve the lives of the most marginalised.
Social diversity
Many levels of governance
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Namibia
Botswana
Ethiopia
Kenya
India
Mali
Ghana
WEST AFRICA
SOUTHERN AFRICA
INDIA
EAST AFRICA
Project Management Unit
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High-level synthesis
Research Streams
Barriers and enablers
Shifting the adaptation narrative
Effective adaptation
Research / practice interface
Transformation
Transformative scenario planning
Migration/ MobilityCross-regional
Ecosystems+ Land change
Knowledge Systems
Governance
Social Differences Wellbeing
Approaches and Outputs
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CROSS REGIONAL CASE STUDIES
MOBILITY/MIGRATION IN SEMI-ARID REGIONSUSING MENTAL MODELING METHODOLOGY
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6 life course interviews per country
Quantitative household data
Open unstructured
Household head plus household member of
different gender
Mix of locations, cultures, religions, livelihoods,
mobility, urban/rural
Cases Not representative but illustrative
Insights into drivers, compound shocks, choice,
intra-household dynamics, wellbeing, aspirations
METHODS
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Accelerators of mobility
DebtDeath of household head
ConflictFalsely accused of murder
Conflict between families
Drought
!
Job opportunities
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Access to land and housing
Conflict
Insecurity reduce access to livestock market
Traditional & no education
Fear of the unknown
Brakes to mobility
Obligation
Work mother’s farm
Muslim wife
Run aunt’s business
Work farm and look after grandma
Community
Church provides school fees and food
Support of Muslim community
Recognition in the community
Established business
Hard to get new land
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Moving out: reduced exposure to uncertainty from farm
livelihoods BUT signals a narrowing of livelihood opportunities
when we make agricultural systems unviable
Moving in: increased exposure to non-climatic risks and
potential narrowing of adaptation option space as they move
into cities
Adaptation is a behavioural change (towards more flexible,
forward-looking decision-making); not seeing the same in
migration process
Broader implications of development pathways, trade-offs,
thresholds
IMPLICATIONS FOR ADAPTATION
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IMPLICATIONS FOR SDGs
SDG1: No Poverty
• Rights to economic resources, control of property,
inheritance, microfinance
SDG4: Quality education
• Complete free education, increase skills for employment
SDG5: Gender equality
• Equal opportunities
SDG8: Decent work and economic growth
• Full, productive, decent, safe work
SDG11: Sustainable cities and Communities
• Access to housing and services
SDG13: Climate action• Increase adaptive capacity
Everything is linked to Water
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Way Forward: Research into Use
Research and Evidence Needs to help Policy makers and Communities:
Which Critical investments into agriculture should be
prioritized to support farming all year around?
What Enterprise training and funding programmes should be promoted as alternative livelihood sources?
How to support communities (religious/social etc.) serving as safety nets for vulnerable people?
Who should be targeted to close the resource gap between urban and rural centers to reduce the rural-urban migration?
Is it possible to address the challenges of rural urban drift by implementation of integrated Adaptation and SDGs policies.?
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Supported by:
Project Website: www.assar.uct.za
Thank you!
Institute for Environment and Sanitation Studies Website: http://iess.ug.edu.gh/