Computational Model Library

Biodiversity and Adoption of Small-scale Agroforestry in Rwanda (BASAR) (version 1.0.0)

The BASAR model aims to investigate different approaches to describe small-scale farmers’ decision-making in the context of diversified agroforestry adoption in rural Rwanda. Thereby, it compares random behaviour with perfect rationality (non-discounted and discounted utility maximization), bounded rationality (satisficing and fast and frugal decision tree heuristics), Theory of Planned Behaviour, and a probabilistic regression-based approach. It is aimed at policy-makers, extension agents, and cooperatives to better understand how rural farmers decide about implementing innovative agricultural practices such as agroforestry and at modelers to support them in selecting an approach to represent human decision-making in ABMs of Social-Ecological Systems. The overall objective is to identify a suitable approach to describe human decision-making and therefore improve forecasts of adoption rates and support the development and implementation of interventions that aim to raise low adoption rates.

Release Notes

This model is created in NetLogo 6.1.1. It uses the csv and nw extensions. The model requires .csv files as inut that contain information on the households as well as a validation data.

Version Submitter First published Last modified Status
1.0.0 Beatrice Nöldeke Fri Jul 15 05:06:42 2022 Fri Jul 15 05:06:42 2022 Published


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