Objective
Seagrasses are key ecosystem engineers that create structurally complex habitats in coastal areas, thereby increasing biodiversity and providing important ecosystem services. Their documented and worldwide loss calls for effective conservation measures. Our capacity to succeed in this task largely depends on our aptitude to anticipate their decline. Ecological theory and some evidence suggest that seagrass loss is often sudden, and cannot be predicted without exactly knowing the trajectory of their response to increasing stress or their behaviour before and after decline. Ecological theory also proposes that systems close to decline become more stochastic and slow in recovering from disturbance, a phenomenon known as critical slowing down. Such theory can be applied to complex ecological systems, providing appropriate experimental tests on suitable signals of this phenomenon, called indicators of resilience. Yet, knowledge on seagrass response patterns and the identification of these theoretical indicators of resilience is lacking. By means of a field manipulative experiment and model simulation based on literature and experimental data, the proposed research aims at (1) identifying what are the response patterns of seagrass traits to a gradient of stress; and (2) testing for the existence of indicators of resilience in seagrasses. In addition, the project will (3) implement the results into a protocol of action to be used by practitioners as innovative tools to anticipate potential changes in seagrass resilience.
The development of this project will contribute significantly to seagrass conservation using an innovative approach that combines experimental work with ecological theories and modeling.
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.
- natural sciences biological sciences marine biology
- natural sciences biological sciences ecology ecosystems
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector 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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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) H2020-MSCA-IF-2017
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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.
75794 PARIS
France
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.