Objective
Marine reserves are a valuable tool for protecting against overharvesting and are expected to support fisheries beyond their boundaries through spillover of adult fish. However, marine reserves may set unanticipated selection regimes on fish behavior when they fail to protect a sufficiently large part of the range of movements of the animals present in the target population and there are fishing activities at the reserve boundary. Under these situations, marine reserves may generate differences in the time that each individual spends at risk to be harvested, and ultimately the fitness of the individuals. Worryingly, consistent removal of individuals that spend more time at risk may entail evolutionary consequences because the behavioral traits that might determine time at risk are likely heritable (they have been show to be repeatable, i.e. personality traits). This mechanism, termed protection-induced selection and evolution, has received support from simulation studies but lack empirical evidence. By analyzing a unique dataset that includes long-term and fjord-wide behavioral information of two cod populations from Norway, before and after reserve establishment in one of the areas, we will 1) investigate the drives of protection-induced selection, 2) the immediate effect of protection on the fitness landscape of the protected populations and 3) the long-term, evolutionary consequences for the protected individuals and the spillover effect from the marine reserve. Results will be synthesized to provide management recommendations. We forecast very timely and novel results, with high impact, that will move the knowledge frontier several steps forward and will allow a better management of marine resources with clear benefits to the society.
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.
- agricultural sciences agriculture, forestry, and fisheries fisheries
- natural sciences biological sciences evolutionary biology
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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-EF-ST - Standard EF
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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.
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.