Articles | Volume 27, issue 11
https://doi.org/10.5194/hess-27-2205-2023
https://doi.org/10.5194/hess-27-2205-2023
Research article
 | 
14 Jun 2023
Research article |  | 14 Jun 2023

Developing a Bayesian network model for understanding river catchment resilience under future change scenarios

Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell

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Latest update: 14 Jun 2024
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Short summary
We applied participatory methods to create a hybrid equation-based Bayesian network (BN) model to increase stakeholder understanding of catchment-scale resilience to the impacts of both climatic and socio-economic stressors to a 2050 time horizon. Our holistic systems-thinking approach enabled stakeholders to gain new perspectives on how future scenarios may influence their specific sectors and how their sector impacted other sectors and environmental conditions within the catchment system.