Digital Twin challenges in biodiversity modelling

Abstract

Digital Twin is a contemporary digital representation paradigm that is capable of encompassing the complexinteractions within the natural environment. By building biodiversity Digital Twin solutions we may revealanthropogenic effects that cause loss in biodiversity and discover the pathways that can better uncover, diminishor prevent these effects. Developing Digital Twin Applications for biodiversity has unique challenges, like thehybrid and heterogeneous nature of biodiversity modelling, model co-simulation, the demand for highly variablecomputational power and the incorporation of data and models to existing research infrastructures. In this papera state of the art survey is provided with application to the field of biodiversity. We identify broad categories ofchallenges that need to be tackled to deliver reliable, sustainable and scalable Digital Twin solutions. Moreover,we propose a disciplined approach towards using the Digital Twin paradigm and related terminologiesmethodically and responsibly.