Advancing biodiversity research with the BioDT framework: enhancing digital twins

Abstract

Understanding the forces that shape biodiversity is crucial for the rational management of natural resources and aligning with the objectives set by the EU Biodiversity Strategy for 2030, which aims to restore biodiversity in Europe. Researchers face the challenging task of predicting global biodiversity dynamics and comprehending how species interact with their environment and each other. These dynamics are complex, requiring innovative approaches that combine data, models, and interaction processes to provide accurate predictions and sustainable solutions for managing Earth’s biodiversity and ecosystems.

To address this challenge, the primary objective of BioDT is to develop a prototype of the Biodiversity Digital Twin, a cutting-edge tool that accurately models and quantifies species interactions with their environment. By harnessing existing technologies and leveraging data from relevant research infrastructures in innovative ways, BioDT aims to provide advanced modeling, simulation, and prediction capabilities.