SUPPLEMENTARY MATERIAL: Assessing agroecological resilience of landscapes: a participatory Bayesian network approach in Saxony-Anhalt (Germany)
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 (.neta); (ii) the case study data used for validation, suitable for loading into Netica (.dne); (iii) the results of the IDEA stakeholder parameterization and the CPTs generated by InterBeta (.xlsx). 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.
Authors
- Markus A. Meyer (ORCID: https://orcid.org/0000-0003-4872-7164)
- Joseph MacPherson (ORCID: https://orcid.org/0000-0001-8452-6306)
- Paula Schatte
Institutions
- Anhalt University of Applied Sciences (DE)
- Leibniz Centre for Agricultural Landscape Research (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-24
- DOI
- https://doi.org/10.5281/zenodo.20824016
- Primary Topic
- Sustainability and Ecological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00