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Agro-biodiversity and Dietary Diversity Assessment in
Chinyanja Triangle-Ntcheu District-Malawi
Agro-biodiversity and Dietary Diversity Assessment in
Chinyanja Triangle-Ntcheu District-Malawi
BIOVERSITY INTERNATIONAL , CIAT, CIP, DARS & LUANAR
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Dietary diversity
On-farm diversity Market diversity
Self-consumption
Sale
Purchase
Income
Food security & dietary quality
Ecosystem & EvolutionaryServices
Influencing factors
Influencing factorsInfluencing factors
Information flow
Nutrition & Health status
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CONCEPTUAL FRAMEWORK FOR AGROBIODIVERSITY ASSESSMENTS
Aims of the assessment To identify and quantify all the useful plants, animals, and
aquatic species utilized by rural households and communities Information covering consumption (cultivated crops and perennial plants, livestock, plant species collected from the wild; species purchased from markets or exchanged; key socioeconomic characteristics of Households).
Data and information collected will be used in characterizing available resources, identify constraints, opportunities and drivers of change in status of agricultural biodiversity:
(1) In production systems(2) In nutrition and dietary diversity(3) Income and markets
Study Area-Ntcheu District
• Ntcheu district has a population of 471589 according to the 2008 Census. This means the population currently is at 557,433 (NSO Projections).
• The district has 7 extension planning areas namely, Njolomole, Kandeu, Bilira, Nsipe Sharpvale, Tsangano and Manjawira; and
• The Agriculture Extension Development Coordinator (AEDC) oversees the EPA, which is also divided into Sections.
• The Agriculture Extension Development Officer (AEDO) oversees the section
Nsipe
Manjawila
Bilila
Tsangano
Kandeu
Njolomole
Sharpe Valley
N
Ntcheu EPAs
Ntcheu_EPAsBililaKandeuManjawilaNjolomoleNsipeSharpe ValleyTsangano
N
Malawi EPAs
Ntcheu districtMalawi EPAs
Sampling MethodologyReconnaisance survey –(sought to understand farming and
livelihoods systems)
• Visiting Ntcheu District Agricultural Office, District Survey Office plus other relevant offices- gather district and EPAs crop production statistics, spatial maps/variables and seek survey clearances.
• Visit and characterize all the EPAs and decide on selections capturing ecological variability and farming systems applying stratified random block sampling approach.
• Select the sections and villages within EPAs for actual survey.
Reconnaissance Survey Findings- COMPLEXITY!!
• There are sub-ecosystems within the proposed system (Dry vs wetlands; Highlands vs Lowlands)
Reconnaissance Survey Findings- COMPLEXITY!!
• Interactions between agriculture management , local and national governance….EPAs which are production and management blocks straddles across TA which are local governance and administrative units
Selected EPAs- Stratified Random Design
#S#S
#S
#S
Nsipe
ManjawilaTsangano
Sharpe Valley
Ntcheu Boma
Balaka Town
Dedza TownshipMonkey Bay Urban
N
Selected EPAs and Towns
Ntcheu districtSelected epas
#S Towns
EPA Agro-ecology StatusTsangano Upper - high altitude XX
Njolomole High altitude
Nsipe Mid –altitude –Irrigation scheme
XX
Kandeu Mid- altitude
Manjawira Low altitude and drier XX
Sharpvale/Bilira Low altitude/lakeshore XX
Survey MethodsFocused Group Discussions (Separated Men and Women)
Four cell Analysis toolCommunity timelines-capture trends in crops and varietiesCrop calendars (Information on food availability & security)Seed networks (Social and Markets)
Household Surveys • Interview questionnaires gathered information on ABD
role at household level (Household head=male/female)
• Food systems characterization, diets and contributions of ABD at household level (Woman)Individual dietary diversity scores (women & Children)Food calendars
FGD-Four Cell AnalysisAssessing Useful biological diversity in the production system
It is very important to draw the group’s attention to squares (3) and (4). Because species on those squares they are usually ignored, but they can be important and particularly have potential!
Selected EPAs- Stratified Random Design
#S#S
#S
#S
Nsipe
ManjawilaTsangano
Sharpe Valley
Ntcheu Boma
Balaka Town
Dedza TownshipMonkey Bay Urban
N
Selected EPAs and Towns
Ntcheu districtSelected epas
#S TownsSections=12Farming hh=30,102HH Interviewed=90Fgd=3
Sections=10Farming hh=22,702HH Interviewed=83Fgd=4
Sections=8Farming hh=18,422HH Interviewed=80Fgd=4
Sections=10Farming hh=31,112HH Interviewed=85Fgd=3
• 13 FGDs • 340 hh sampled
Survey preliminary findings/observations
Next Steps
• A great diversity of ABD available for consumption and income—in some cases not appropriately utilized
• Constraints exist in diversifying crops to mitigate shortages during lean seasons---case of using residual moisture in dambos
• Challenges in accessing inputs—seeds and fertilizer—from FGDs feedbacks
• Need to links of on farm conservation- market and food and nutritional security to identify options and entry points- Alot of opportunities exist
• Data entry, decoding and cleaning—On-going• Data Analysis to identify the entry points
• Statistics• GIS/Remote Sensing—models• Gather more bioclimatic data for FIGS
like analysis