Changes in the drylands of eastern...
Transcript of Changes in the drylands of eastern...
Changes in the drylands of eastern Africa Understanding and mapping livelihood dynamics and resilience within pastoralist systems Study summary and implications Livelihoods in Transition technical meeting of the Global Alliance, Addis Ababa 8-9th September 2016
Introducing the research
The starting point of the analysis were these questions: • What are the pathways of change being experienced in different
pastoral systems, and for different livelihood groups within these, in eastern Africa, over the last fifteen years to date, according to the evidence and data?
• What is the state of the data on these changes? • How are these dynamic changes affecting the nature, extent and
distribution of poverty and vulnerability as well as the scope for strengthening resilience today?
The study included: (a) a synthesis of evidence across scholarly and ‘grey’ materials on
poverty, vulnerability, livelihoods and change in eastern Africa’s drylands;
(b) a data mapping of national and sub-national datasets on poverty, vulnerability, livelihoods and resilience; and
(c) analysis of priority, long-term evidence gaps as well as recommendations on future research and data collection.
A Systems Approach
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Paradoxical dynamics of changing pastoralism • Mobile and semi-mobile livestock-keeping still the most productive
activity in nearly all drylands yet diminishing herd sizes for most • Commercialisation in the livestock sector and export trade is
intensifying, but levels of poverty and vulnerability are worsening • The mobility of people with herds has greatly decreased yet the
locational separation of household members is more common • Climate risks necessitate flexibility and adaptability yet rangelands are
fragmenting and key grazing resources are being commodified
Trends shaping pastoralism in the region • Continuing growth in regional livestock marketing and trade
• Rangeland fragmentation through processes of excision, privatisation (enclosures) and commodification of rangeland resources
• Increasing sedentarisation and resource-claims making – fencing of forage banks in Borana, individualisation of tenure in South Rift
• Indigenous capital and state investment encouraging more dynamic small town growth
• Although renewal of state interest in drylands is welcome, outcomes of investment can be ambiguous
• Adaptive processes in customary systems under threat – no clear rainfall trendlines, but options to manage uncertainty are squeezed
Diverging pathways and prospects
• Complex and contradictory livelihood transformations – basic conundrum is that vulnerability and poverty worsen even while economic growth abounds and commercialisation processes accelerate
Key findings on diversification • Those who combine livestock-based livelihood with other income
have the highest level of wellbeing and the least vulnerability • Sedentarised pastoralists experience the highest levels of poverty and
greatest resilience challenges • Yet, small town growth presents new economic opportunities and
options to cope during crises. These are highly gendered, with women taking on much of the newly-important town-based work and enterprise, and in some cases controlling more of the income from these
• Diversification is not only about leaving pastoralism, but rather many use it as a way to remain in or return to pastoralism
• Literature review of data challenges in the drylands • Reviewed existing catalogue of national level data • Sought out datasets from large studies and programmes in drylands • Included baseline studies and other evaluation datasets • Focused mainly on data available since 2000. • Interested to find long-runs of data/and panel data • Created excel database with a range of indicators on data type;
quality; characteristics; themes. • Limited inclusion of small scale, local livelihood-type surveys
Data Mapping Methodology
Characteristics of Data Mapping
• 107 datasets: a large range of survey and data characteristics captured in excel
• 94% published or cited • Primarily household level data representative at sub-national
level • 51% quant, 39% MM, 2% participatory, 7% unknown • 23% panel, 67% cross-section, 9% unknown • 16% impact evaluation, 84% research • 34% open access, 13% upon request, 5% closed access, 48%
unknown
Type of data collected by pastoralist system
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Cross-section Panel
Frequency of data collection by type of data
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10 yearintervals
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Cross-Section Panel
Framework of Analysis: A Conceptual Model to Understand Change Over Time
Layer One: System/context analysis
Layer Two: Mapping directionality livelihood and economic activities of different households and individuals
Level Three: Developing categories to model livelihood change and resilience over time
Developing a long view of system change over time
Measuring recovery and resilience Recovery/Interim Resilience Outcome vs. Resilience Outcome
Measure Outcome
Income based resilience index Recovery
How long does it take for households to return to pre-shock income level?
‘Bounce Back’ to income level
Resilience How long does it take to attain an income above extreme poverty threshold?
Bounce back and build up
Asset based index Recovery
How long does it take for household to return to re-shock asset level?
‘Bounce back’ to herd/resource size
Resilience How long does it take household to get to a herd threshold of 4.5 TLUs?
Bounce back and build up
Potentially Comparable Datasets for livelihood trend analysis Ethiopia’s Borana Plateau: income sources, assets, health, livestock (herd size, sale, death, purchase), land use, , food aid, social transfers & remittances
PARIMA (2000-2002)
IBLI (2012-2015)
Northern Kenya: income sources, livestock (herd size, sale, death, purchase), land use, productive assets, food aid, social transfers & remittances, education, health, weather variability
PARIMA (2000-2002)
IBLI (2009-2013)
Kenya’s Maasai South Rift: demographics, income & income sources, milk production, consumption & sales, livestock (herd size, sale, death, purchase), crop production, market access, education
Homewood, et al Staying Maasai (1998-2004)
Grandin Maasai Systems Study (1981-1985)
Karamoja, Uganda: Northern Uganda Baseline Study (2004, panel with 2008): income, access to credit, nutrition, dietary diversity, health, livestock, land use, crop production, productive assets, education, women’s empowerment, conflict
Northern Uganda Baseline Study (2004)
Northern Uganda Baseline Study (panel 2008)
Somalia Region: dietary diversity, crop production, child nutrition, health
Devereux (2006) RAIN+ (2011)
Recommendations for future resilience research in drylands • Data collection and analysis should strive for a longitudinal perspective
of change over time through the collection of panel data • Large-scale data collection efforts in drylands must adequately
represent the full diversity of livelihoods found in these areas, include definitions of pastoralists and questions that are appropriate to pastoralist lives
• Data sets should be shared publicly and cross-posted • Further research insights required on: urbanisation and small town
growth, demographic change including population and migration, education and services, and internal social dynamics around gender and young people
• More efforts are required to stimulate research demand from within pastoral societies