Malaysia’s commitment to sustainable forest and biodiversity management is now supported by the development of an advanced ecology simulator, built upon a digital twin framework that integrates internet of things, artificial intelligence and data science. Piloted in the Pasoh Forest Reserve, this system harnesses multimodal data sources to capture the complexity of tropical forest ecosystems. These include long-term tree census records, faunal data from camera traps, environmental parameters such as temperature, humidity and rainfall, as well as high-resolution spatial inputs from LiDAR and drone imagery. This diverse data fusion enables a dynamic representation of the ecosystem’s structure and function across plant, fauna, and environmental dimensions. The completed simulator dashboard provides a comprehensive interface for real-time monitoring, trend analysis, and scenario simulation of biodiversity dynamics. A key feature is the inclusion of an expert-informed tree harvesting simulation module, which integrates ecological knowledge and management guidelines to support sustainable intervention planning. The system moves beyond static assessments by offering descriptive, predictive, and prescriptive analytics, allowing users to explore potential ecological futures under different scenarios. As a decision support tool, the simulator offers valuable insights for conservation planning, forest restoration, and adaptive management. It is currently being evaluated for broader national deployment by the Forest Research Institute Malaysia and other government agencies, positioning it as a pioneering model for data-driven biodiversity governance.