Project description
Predicting climate impacts on biodiversity
How is climate change affecting biodiversity? Answering this question requires an understanding of how interconnected natural systems respond to environmental pressures across land, sea and atmosphere. Conventional models often focus on isolated components, limiting their ability to capture cascading impacts. The EU-funded TerraTwin project addresses this challenge by developing an integrated digital twin, a dynamic virtual representation of interconnected ecosystems. The system integrates multi-domain environmental data to simulate climate scenarios and evaluate their impacts on species, habitats and regional economies. In doing so, TerraTwin aims to support evidence-based decision-making and strengthen Europe’s capacity to protect biodiversity under changing climate conditions.
Objective
TerraTwin project aims to develop a holistic DTE (Digital Twin of Ecosystem) tool, to better understand the complex interplay between climate change and marine and terrestrial biodiversity. This will be accomplished by leveraging existing multiparametric data from various sources, for marine, land, soil and atmospheric biodiversity, which will be used to feed and train the DTE, which in turn will offer innovative features, such as data analytics anomaly detection, predictive capabilities, feedback loops, policy recommendations and connection with other tools and databases. The following advanced solutions will be integrated to the DTE, to meet its goals: a) Advanced data harmonization to unify and standardize different types of collected biological and environmental data, b) Big data to handle diverse types of datasets, c) Blockchain technology to enhance the functionality, security, 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 resilience.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been human-validated.
- natural sciences computer and information sciences databases
- natural sciences computer and information sciences data science big data
- engineering and technology environmental engineering ecosystem-based management climate change adaptation
- natural sciences biological sciences biodiversity conservation
- natural sciences computer and information sciences artificial intelligence pattern recognition
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.6 - Food, Bioeconomy Natural Resources, Agriculture and Environment
MAIN PROGRAMME
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HORIZON.2.2 - Culture, creativity and inclusive society
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HORIZON.2.1 - Health
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HORIZON.2.4 - Digital, Industry and Space
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HORIZON.2.3 - Civil Security for Society
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HORIZON.2.5 - Climate, Energy and Mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MISS-2024-CLIMA-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1253 Luxembourg
Luxembourg
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.