Agroecological Resilience Bayesian Network

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Authors: Paula Schatte
Cited by: 0

Abstract

This repository contains a Bayesian network model and the corresponding case study dataset used for its development and evaluation to assess agroecolgoical resilience. The repository includes: (i) the network structure and parameters in machine-readable format, suitable for loading into Netica; (ii) the case study data used for validation, suitable for loading into Netica. Together, these resources support the reproducibility of the analysis, sensitivity and scenario studies, and the reuse of the model and data for further research under CC BY-NC.

Fields of Study & Subjects

Sustainable Agricultural Systems Analysis Ecosystem dynamics and resilience Bayesian Modeling and Causal Inference

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 August 2026
Language
EN
Document type
Dataset