This study aims to review current research into agricultural adaptation strategies and farmers' adoption of CSA measures in Pakistan. It will take a case study approach to investigate the cropping systems and climate smart adaptation techniques used by farmers in Baluchistan, a significant agricultural production region in Pakistan. From the available data, it will develop an integrated modelling framework (i.e., a combined process-based model and Bayesian network systems model) of the biophysical processes associated with crop production and the socio-economic and environmental issues faced by farmers in Baluchistan under climate variability, limited financial and technological resources to assess the role of adaptive practice change such as CSA adoption in enhancing the resilience of food production systems. Through the utilization of this comprehensive modelling framework, crop yield will be simulated across a spectrum of climate-related and management scenarios. We will then explore the value of this integrated framework as a communication tool to build effective end-user (i.e., farmer) understanding and confidence in adaptation measures such as CSA practices and technologies.
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