Data dredging bayesian1/30/2024 ![]() ![]() We consider whole-of-system interactions including light reduction due to dredging (the hazard), the duration, frequency and start time of dredging, and ecosystem characteristics such as the life-history traits expressed by genera and local environmental conditions. Our approach estimates the impact of a hazard on a system's response in terms of resistance, recovery and persistence, commonly used to characterise the resilience of a system. 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. Coastal development is contributing to ongoing declines of ecosystems globally. ![]()
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