Opendata, web and dolomites

BeeDanceGap SIGNED

Honeybee communication: animal social learning at the height of social complexity

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BeeDanceGap project word cloud

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

foraging    flow    journey    imposing    laboratory    deep    eusocial    expression    profiles    food    honeybee    natural    unrecognized    uniquely    mechanisms    social    complexity    free    living    powerful    tractable    generation    firstly    takes    replicate    shifts    language    location    celebrated    models    ultimate    fundamental    risk    simply    security    world    hard    profile    dance    network    kingdom    vertebrate    group    emerge    decline    integrates    ecological    drivers    cutting    understand    transcriptomics    tools    animal    diverse    ecology    elicit    proximate    territory    never    edge    global    communication    learning    bee    sciences    analyze    pollinator    differently    secondly    colony    brain    hive    central    pressing    individuals    track    theme    gain    delve    molecular    place    perspectives    dances    networks    drives    centralized    colonies    honeybees    sophisticated    disciplinary    vast    overwhelming    groups    unrivaled    ranges    gene    societies    contribution    diversity   

Project "BeeDanceGap" data sheet

The following table provides information about the project.

Coordinator
ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE 

Organization address
address: EGHAM HILL UNIVERSITY OF LONDON
city: EGHAM
postcode: TW20 0EX
website: http://www.rhul.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 https://ellileadbeater.wixsite.com/beedancegap
 Total cost 1˙422˙010 €
 EC max contribution 1˙422˙010 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2021-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE UK (EGHAM) coordinator 1˙320˙301.00
2    QUEEN MARY UNIVERSITY OF LONDON UK (LONDON) participant 54˙884.00
3    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 24˙862.00
4    UNIVERSITY OF LEEDS UK (LEEDS) participant 21˙961.00
5    UNIVERSITY OF BRISTOL UK (BRISTOL) participant 0.00

Map

 Project objective

Learning from others is fundamental to ecological success across the animal kingdom, but a key theme to emerge from recent research is that individuals respond differently to social information. Understanding this diversity is an imposing challenge, because it is hard to replicate the overwhelming complexity of free-living groups within controlled laboratory conditions. Yet here I propose that one of the most complex social models that we know of— the sophisticated eusocial societies of honeybees— offer unrivaled and yet unrecognized potential to study social information flow through a natural group. The honeybee “dance language” is one of the most celebrated communication systems in the animal world, and central to a powerful information network that drives our most high-profile pollinator to food, but bee colonies are uniquely tractable for two reasons. Firstly, next-generation transcriptomics could allow us to delve deep into this complexity at the molecular level, on a scale that is simply not available in vertebrate social systems. I propose to track information flow through a natural group using brain gene expression profiles, to understand how dances elicit learning in the bee brain. Secondly, although bee foraging ranges are vast and diverse, social learning takes place in one centralized location (the hive). The social sciences now offer powerful new tools to analyze social networks, and I will use a cutting-edge network-based modelling approach to understand how the importance of social learning mechanisms shifts with ecology. In the face of global pollinator decline, understanding the contribution of foraging drivers to colony success has never been more pressing, but the importance of the dance language reaches far beyond food security concerns. This research integrates proximate and ultimate perspectives to produce a comprehensive, multi-disciplinary program; a high-risk, high-gain journey into new territory for understanding animal communication.

 Publications

year authors and title journal last update
List of publications.
2018 Harry Siviter, Mark J. F. Brown, Ellouise Leadbeater
Sulfoxaflor exposure reduces bumblebee reproductive success
published pages: 109-112, ISSN: 0028-0836, DOI: 10.1038/s41586-018-0430-6
Nature 06/09/2018 2019-05-29
2018 Ash E. Samuelson, Ellouise Leadbeater
A land classification protocol for pollinator ecology research: An urbanization case study
published pages: 5598-5610, ISSN: 2045-7758, DOI: 10.1002/ece3.4087
Ecology and Evolution 8/11 2019-05-29
2018 Ash E. Samuelson, Richard J. Gill, Mark J. F. Brown, Ellouise Leadbeater
Lower bumblebee colony reproductive success in agricultural compared with urban environments
published pages: 20180807, ISSN: 0962-8452, DOI: 10.1098/rspb.2018.0807
Proceedings of the Royal Society B: Biological Sciences 285/1881 2019-05-29
2018 Harry Siviter, Julia Koricheva, Mark J. F. Brown, Ellouise Leadbeater
Quantifying the impact of pesticides on learning and memory in bees
published pages: , ISSN: 0021-8901, DOI: 10.1111/1365-2664.13193
Journal of Applied Ecology 2019-05-29
2017 Ash Samuelson, Ellouise Leadbeater
Foraging by Honeybees
published pages: 1-9, ISSN: , DOI: 10.1007/978-3-319-47829-6_918-1
Encyclopaedia of Animal Cognition and Behaviour 1/1 2019-05-27
2017 Ellouise Leadbeater, Erika H. Dawson
A social insect perspective on the evolution of social learning mechanisms
published pages: 7838-7845, ISSN: 0027-8424, DOI: 10.1073/pnas.1620744114
Proceedings of the National Academy of Sciences 114/30 2019-05-27

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BEEDANCEGAP" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BEEDANCEGAP" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

LO-KMOF (2019)

Vapour-deposited metal-organic frameworks as high-performance gap-filling dielectrics for nanoelectronics

Read More  

PLAT_ACE (2019)

A new platform technology for the on-demand access to large acenes

Read More  

TRUST (2018)

Truth and Semantics

Read More