Work package 2 - Review and testing of model based tools for assessment of CA PDF Print E-mail


Objectives

 

Obj 2.1 To make an inventory of existing bio-physical, socio-economic models and conceptual models of innovation systems for assessment of agricultural practices

Obj 2.2 To critically analyse and test the ‘best suited’ models for the assessment of CA under African farming conditions

Obj 2.3 To formulate research needs to improve/develop models for analysis at different scales

 

 

Description of work

 

Task 2.1: WP2 will first concentrate on an inventory of bio-physical, socio-economic models and conceptual models of innovation systems for assessment of agricultural (innovative) practices. The models will be positioned in the reference framework that is developed in WP1. Each scale (field, farm and district) in the framework has its own analytical tools or models. The task is led by ZALF in collaboration with CIRAD, IAS-CSIC.

 

Task 2.2: Based on a list of criteria for model evaluation with respect to assessment of CA practices best-suited models/modelling tools will be suggested and adapted for assessment of CA practices in Africa. These models will be used within the reference framework (WP1) and will be applied in the case study analyses in WP3. They should comprise key factors that are relevant for the assessment of CA in terms of impact and adoption. The criteria for model evaluation will be elaborated during the inception workshop (month 2) through discussions with all consortium partners. The existing models -from biophysical models along socio-economic models towards bio-economic models (trade-off analysis tools), including broader approaches such as innovation system models- will be analysed in terms of their capability to contribute to a better understanding of  impact and adoption of CA with respect to farming systems in Africa. ZALF will lead the final selection of best-suited models during the mid-term workshop (month 16). The selection process will also involve testing of some of the models against existing data on CA provided by the database (WP1). The task also includes recommendations on how to apply these models to improve understanding of impact and adoption of CA in the context of rural Africa (link with WP4).

 

Task 2.3: The best-suited models will be tested/evaluated ‘in-depth’ using available data sets (WP1) both for the site conditions (eg. climate, soil, socio-economic conditions) and for the different data quality levels. It is anticipated that the different case studies across Africa represent different levels of data quality. Thus, the model testing will consider data requirements and availability, the coverage of relevant plant and soil processes and the ability of models to simulate relevant household processes and policies. From this exercise, we will identify research needs to improve/develop models for analysis of CA at different scales The task is led by ZALF in collaboration with CIRAD, IAS-CSIC.

CA at different scales The task is led by ZALF in collaboration with CIRAD, IAS-CSIC.

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