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Digital Twin-sustained 7D for the complex interplay between the climate and biodiversity crises including social-economic factors

CORDIS · observation · Publication date unknown

rity, traceability and trustworthiness, d) Gathering and harmonizing of Historical and near real time data from existing data bases and on the field activities for climate and biodiversity, d) AI and machine learning, an “in-silico” approach will be enforced to recompile all available physiological information as maps for different key or iconic species, in order to match the different physiological scenarios with changing environmental conditions as mechanism to predict biodiversity changes, as predicted for the different areas by the International, panel for the Climate Change (IPCC), e) DTE integration GUI, f) Simulation for various climatic scenarios based on the selection of areas and environmental data, g) Socio-economic modelling integrating environmental data with human activity patterns, providing a holistic view of how climate and biodiversity changes impact communities and economies and h) Environment-species mapping modelling links species distribution with environmental conditions, enabling the identification of potential habitats and the assessment of biodiversity resil

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recordType

award

status

SIGNED

region

EU

value

3162593.13

unit

EUR