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Behaviour-Connect SIGNED

Behaviour-Connect: Testing hypotheses on the behavioural drivers of connectivity in the marine environment through novel Bayesian models

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 Behaviour-Connect project word cloud

Explore the words cloud of the Behaviour-Connect project. It provides you a very rough idea of what is the project "Behaviour-Connect" about.

hypothesis    whale    grounds    conservation    genomics    latitude    driver    exploited    diverted    primarily    coastal    connectivity    model    persistence    biology    ecology    behavioural    lack    destinations    types    play    shaping    simultaneously    commercial    barriers    gap    resilience    summer    distributed    micro    biophysical    southern    markers    structure    local    mobile    migrating    insights    dispersal    models    chemical    offshore    transmitted    species    populations    potentially    winter    preferences    globally    individuals    evolutionary    ideal    largely    traits    evolution    empirical    feeding    hypotheses    combining    data    rigorously    gene    life    influences    harnessing    ecological    right    integrating    calving    exchange    specialisations    drivers    generate    bayesian    broadly    date    environment    history    whales    lived    marine    fidelity    combination    framework    ecologists    ignored    social    influence    larval    maternally    migratory    flow   

Project "Behaviour-Connect" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS 

Organization address
address: NORTH STREET 66 COLLEGE GATE
city: ST ANDREWS
postcode: KY16 9AJ
website: www.st-andrews.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://biology.st-andrews.ac.uk/contact/staffProfile.aspx
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-03-16   to  2018-03-15

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS UK (ST ANDREWS) coordinator 195˙454.00

Map

 Project objective

Connectivity is broadly defined as the exchange of individuals between populations. Assessment of connectivity is a key goal in ecology, evolution and conservation biology. At the ecological level, connectivity is key in the persistence and resilience of populations. At the evolutionary level, connectivity influences local adaptation. In the marine environment, ecologists have primarily focused on biophysical models of larval exchange when investigating connectivity, because of the importance of such processes on exploited or commercial species. This has diverted attention from the potentially important role of behaviour as a driver of connectivity in the marine environment. Aspects of a species' behaviour, such as migratory fidelity, social structure and feeding specialisations, can play a strong role in shaping connectivity and gene flow that has been largely been ignored in connectivity studies to date. I propose to address this knowledge gap by simultaneously harnessing leading empirical methods, micro-chemical markers and genomics, and integrating these into a novel Bayesian framework for testing hypothesis on the behavioural drivers of connectivity. I will apply this method to a globally distributed species, the southern right whale. This large, long-lived species is highly mobile, migrating between coastal winter calving grounds and high latitude offshore feeding grounds in summer. Southern right whales show maternally transmitted preferences for migratory destinations that could influence connectivity. The combination of well-described life-history traits and lack of barriers to dispersal makes the southern right whale an ideal species in which to investigate the importance of behaviour on connectivity. While providing insights into drivers of connectivity in the southern right whale, the project will generate broader hypotheses about drivers of connectivity and provide a model for combining different data types to rigorously test such hypotheses.

 Publications

year authors and title journal last update
List of publications.
2018 E. L. Carroll, R. Alderman, J. L. Bannister, M. Bérubé, P. B. Best, L. Boren, C. S. Baker, R. Constantine, K. Findlay, R. Harcourt, L. Lemaire, P. J. Palsbøll, N. J. Patenaude, V. J. Rowntree, J. Seger, D. Steel, L. O. Valenzuela, M. Watson, O. E. Gaggiotti
Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species
published pages: , ISSN: 0018-067X, DOI: 10.1038/s41437-018-0077-y
Heredity 2019-06-13
2016 Kristina M. Cammen, Kimberly R. Andrews, Emma L. Carroll, Andrew D. Foote, Emily Humble, Jane I. Khudyakov, Marie Louis, Michael R. McGowen, Morten Tange Olsen, Amy M. Van Cise
Genomic Methods Take the Plunge: Recent Advances in High-Throughput Sequencing of Marine Mammals
published pages: 481-495, ISSN: 0022-1503, DOI: 10.1093/jhered/esw044
Journal of Heredity 107/6 2019-06-13
2017 Gregoire Leroy, Emma L. Carroll, Mike W. Bruford, J. Andrew DeWoody, Allan Strand, Lisette Waits, Jinliang Wang
Next-generation metrics for monitoring genetic erosion within populations of conservation concern
published pages: , ISSN: 1752-4571, DOI: 10.1111/eva.12564
Evolutionary Applications 2019-06-13
2018 Emma L. Carroll, Mike W. Bruford, J. Andrew DeWoody, Gregoire Leroy, Alan Strand, Lisette Waits, Jinliang Wang
Genetic and genomic monitoring with minimally invasive sampling methods
published pages: , ISSN: 1752-4571, DOI: 10.1111/eva.12600
Evolutionary Applications 2019-06-13

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The information about "BEHAVIOUR-CONNECT" are provided by the European Opendata Portal: CORDIS opendata.

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