Objective
Phytoplankton is the base of the trophic marine ecosystem and a main regulator of global CO2 fluxes. Climate-related shifts in the dominant phytoplankton functional types (PFTs), their blooming periods, and overall productivity, are expected to have major implications on oceans’ carbon cycle. The Southern Atlantic Ocean (SAO), renowned as one of the world's most biologically productive regions and the largest carbon sink, is already experiencing profound environmental changes due to climate change. Using AI-techniques, AI-PhytoClim seeks to analyze how climate-driven changes in physical forcings influence the functioning and structure of phytoplankton, and the implications these changes have in surface ocean partial pressure (pCO2sw) and CO2 fluxes. This study is founded on the analysis of a comprehensive dataset, encompassing 26 years of satellite data (ocean color), numerical modeling results, and in situ data. The first goal is to establish quantitative relationships between climate-driven physical forcings in the SAO and phytoplankton responses at the PFT level, employing neural network pattern recognition and classification algorithms (2S-SOM, AI). The second goal aims to assess the impact of the climate variability/change on the PFTs and the influence on regional CO2 fluxes. The responses each PFT to climate variability and interconnections between each PFTs variability and the pCO2sw and CO2 fluxes will be explored through time-series analysis (CENSUS X-13) and statistical approaches (e.g. cross-wavelets, correlations). Knowing the coupled physical-PFTs relationships over the last 26 years and using the forecasted environmental changes during the next decades (CIMP6 model), I will assess how PFTs are likely to evolve in the future ocean and the resulting implications for regional CO2 fluxes. The methodologies developed in AI-PhytoClim will provide important new insights on the ocean-climate nexus and on its influence on global climate.
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.
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.
- engineering and technology materials engineering colors
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- social sciences economics and business economics production economics productivity
- social sciences sociology demography census
- natural sciences biological sciences ecology ecosystems
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
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-MSCA-2023-PF-01
See all projects funded under this callCoordinator
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.
28006 MADRID
Spain
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.