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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.

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

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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