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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.

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

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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