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SOCIAL COST

Differential costs of social living in nature

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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Project "SOCIAL COST" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF GLASGOW 

Organization address
address: UNIVERSITY AVENUE
city: GLASGOW
postcode: G12 8QQ
website: www.gla.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://www.shirleyraveh.com/postdoc-iii/
 Total cost 183˙454 €
 EC max contribution 183˙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 2016-02-01   to  2018-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF GLASGOW UK (GLASGOW) coordinator 183˙454.00

Map

 Project objective

Group living is a common phenomenon in nature in a wide range of taxa. Studies in natural systems are central to understanding the evolution of social behaviour and systems. While benefits, such as reduced predation risk, and costs, such as increased pathogen transmission, are well documented for some species, many other effects of group living are poorly understood in natural populations. In particular, group size and composition, and individual social status might affect the level of social stress. Social stress can cause physiological stress in group living animals, including humans, leading to poor health or fitness reduction. The level of costs and benefits, as well as the optimum resolution of the resulting trade-offs, is likely to vary with social status and sex, but the nature of these differences is poorly understood. In this project, I propose to test in a free living sciurid rodent, the Cape ground squirrel (Xerus inauris), whether the costs of group living vary with social status, and whether this can be explained by physiological and molecular changes that influence longevity. To address these questions, I will use biomarkers of aging, involving hormone levels, oxidative damage and telomere loss. Combining the latest methods in measuring such parameters will provide a new understanding of how sociality influences stress responses in free-living mammals of different social status.

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

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