We present a risk-based modelling framework for time varying complex systems centred around a dynamic Bayesian network (DBN). Maintenance dredging causes disturbances lasting weeks to months, often repeated at yearly intervals. We study the cumulative impacts of maintenance dredging on seagrass ecosystems as a canonical example. Consequently, understanding the risks posed to these systems, and how they respond to successive disturbances, is paramount for their improved management. Ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5061/dryad.f71vq&rft.title=Data from: Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks&rft.identifier=10.5061/dryad.f71vq&rft.publisher=DRYAD&rft.description=Coastal development is contributing to ongoing declines of ecosystems globally.
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