Objective
Anthropogenic noise is ubiquitous across the world and, aside from other negative effects, causes declines in abundance and species richness in birds. How anthropogenic noise does this is not yet well understood, although it is probably because anthropogenic noise disrupts biologically important signals. One such important signal that has received considerable attention in primates and cetaceans but little in birds are calls used to coordinate group movement. Historically, research examining collective movement has focused on free-flying murmurations to determine how individuals’ behaviour impacts group movement. However, these models do not include visual and physical impediments that occur in many habitats (i.e. forests) and assume that information is transferred by visual, not vocal cues. Conversely, research examining vocalizations in groups, has focused on correlations between group movement and vocal behaviour, not accounting for effects of the movement and vocal behaviour of all individuals on their neighbours. To establish the mechanisms behind how birds use vocalizations to coordinate group movement, and the effect of anthropogenic noise on their ability to do this, I will combine a vocal communication approach with the mathematical modelling of collective movement to analyse fine-scale 3D spatio-temporal data collected from starling flocks in semi-natural conditions to determine: (1) what vocalizations are used during group movement; (2) how birds use vocalizations to coordinate group movement; and (3) how anthropogenic noise affects a flock’s ability to coordinate group movement. These data will establish a fundamental understanding of how vocalizations mediate group movement allowing for us to determine the impact of anthropogenic noise on this behaviour, and will provide the foundation for further study into other vocally mediated behaviours.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences zoology mammalogy primatology
- natural sciences biological sciences zoology mammalogy cetology
- natural sciences mathematics applied mathematics mathematical model
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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.
80539 Munchen
Germany
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.