Enhancing the Capacity of Rayong Coastal Fishing Communities in Marine Resource Management and Pollution Monitoring

Rayong Bay faces significant marine ecosystem changes, leading to a decline in fish stocks and biodiversity, exacerbated by pollution from oil spills and climate change. This study aims to develop a marine resource management and monitoring system by integrating community data with scientific technology and traditional knowledge. The research focuses on gathering quantitative data on fishing practices, species diversity, abnormalities in marine life, and krill (a type of shrimp paste ingredient). The study uses bathymetric mapping, krill mapping, IoT-based water quality monitoring systems, and a dynamic population model to simulate the impacts of four scenarios; baseline, oil spills, overfishing, and climate shock. The findings indicate that under oil spill scenario, the krill population declines rapidly, with limited recovery, unlike the baseline scenario, which demonstrates stability. The research suggests creating a co-management network for resource monitoring and involving local communities in managing marine resources. The study also utilizes Chaos Theory to analyze system tipping points and propose flexible intervention strategies that can be adapted to the changing environmental conditions.