Digital twins (DTs) are an emerging tool in ecology and biodiversity conservation, offering real-time, evidence-based insights into natural systems. These dynamic models evolve with their real-world counterparts, providing decision-makers and practitioners with up-to-date information on environmental states and trends. By integrating cutting-edge science, real-time monitoring data, AI, and predictive modelling, DTs create lifelike virtual representations of ecosystems. This enables users to test conservation interventions and receive immediate feedback, supporting more informed decision-making.
This session welcomes all submissions presenting DTs or prototype DTs, irrespective of their development stage or maturity level. Presenters are invited to emphasise how their DTs are or can be used by practitioners and decision makers for better informed conservation decision-making. This session also welcomes concepts and ideas about how DTs can foster stronger connection between science, society and practice. Lastly, this session invites ideas or examples of DTs that nurture interaction and engagement of people with the natural environment.