Systems analysis, Out-scalling and Communication Moderateur: M

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Transcript Systems analysis, Out-scalling and Communication Moderateur: M

ICARDA
Systems analysis, Out-scalling and
Communication
Moderateur: M. El Mourid
Rapporteurs: R. Mrabet & H. Boulal
CRP1.1: Dryland Systems: Integrated Agricultural Production Systems for the Poor and Vulnerable in Dry Areas
Regional Inception Workshop for North Africa & West Asia
July 2-4, 2012 - Golden Tulip Farah Hotel-Rabat, Morocco.
Systems Analysis
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Presentation of Modeling approaches by
Withbread et al.
◦ Concepts & parameters
◦ Farming systems & FRS
◦ Systems: from reality to modeling
Modelling chain to assess farm decision and impacts
Aggregated
Indicators (Region,
Vulnerable Zone)
Simple
indicators
Regional
model
Market
Prices
Socio-economic context:
GDP, price,….
Farm model
Region
Farm
typology
Farm type
AM data base: by
activity and Farm type
Agromanagement
Production,
Externalities
Crop model
Economic and
policy data
Policy/environneme
FADN, survey,
ntal measures:
MARS…
WFW, prime….
Agromanagem
ent data
cropping
system/AEnZ
Field
(soil type)
Technological
innovation: no till,
new rotations….
Discussion
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Several model examples were discussed:
Tadla in terms of water allocation and Egypt
in terms of large scale irrigation management
Information sharing and exchange among
partners involved in system modeling
Stress (CC, Biotic, human …) should be
integrated in modeling approach
Sensitivity analysis to price changes at
regional scales.
Level integration: ad-hoc vs full
Discussion
How to integrate social, human, cultural
and institutional parameters in modeling
analysis: parameter estimation or indirect
integration of indicator
 Lack of livestock models
 Multi-agent models vs conceptual
framework
 Model should express system’s
performances improvement for CRP1.1.
(FS, PA, ES, SE)
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Discussion: how modeling can help
in CRP1.1?
Need to improve models
 Risk management
 Differentiate rainfed from irrigated
systems.
 Models should anticipate and prostect on
indicators
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Outscalling
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Full characterisation of sites
Similarity mapping (Hot spot approach)
Suitability mapping for technology
Typology development (improved detailled
farming system mapping)
Modeling approach should help in outscalling
Improve data collection: biophysical, economic,
social, human, policy and institutional parameters
Ground proofing and validation
Capacity building
Data management and standardization
Communication
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Within Innovation platform (framework)
– Upscalling
– Analysis of contexts and expectation
– Participatory approach
– Divers stakeholders, partners, advisory council, NARS,
university, Farmers, Private sector..
– Communication tools: media …
Among farmers: FFS, field days ..
Instrumental upcalling/outscalling: stakeholders
and policy makers.
• Communication with other CRPs.
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– Communication dymanic: quality, targeted,
information/data sharing.