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Ecology and Evolution of Prospecting Strategies

Objective

Prospecting behaviours allow individuals to gather personal and social information on the local quality of potential future breeding sites and help them make dispersal and settlement decisions. As it can have multiple consequences on individual distribution, fitness and population dynamics, exploring the ecology and evolution of prospecting strategies is essential in a context of climate change. Yet, studies dealing with this topic are scarce because of methodological and technological challenges. In this project, I will develop and apply novel theoretical and statistical approaches to deliver major new insights into the adaptive, ecological and evolutionary importance of prospecting strategies in individual and population responses to environmental change. First, I will develop a spatially-explicit individual-based model to quantify the effects of local environmental conditions, life history traits and range margins on the evolution of prospecting strategies. I will also test how inter-individual variation in these strategies may help or hinder populations in responding to rapid environmental change. Second, I will extend a state-space model to robustly quantify prospecting movements from GPS tracking data. This will provide an innovative and powerful tool that will give new insights into the behavioural mechanisms involved in breeding habitat selection. Finally, I will integrate the underpinning knowledge gained from the theoretical and empirical results to add new functionality to the existing platform RangeShifter. The multidisciplinary nature of the project is strong, involving a combination of evolutionary biology, behavioural ecology, movement ecology and conservation biology. The project will open new perspectives in our fundamental understanding of breeding habitat selection and dispersal processes and will be essential to better predict and effectively manage species’ responses to climate change.

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.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

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.

(opens in new window) H2020-MSCA-IF-2016

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Coordinator

THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN
Net EU contribution

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.

€ 183 454,80
Address
KING'S COLLEGE REGENT WALK
AB24 3FX Aberdeen
United Kingdom

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Region
Scotland North Eastern Scotland Aberdeen City and Aberdeenshire
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 183 454,80
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