Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 450914
Title The role of personality in a social network: tracking the association patterns of wild great tits
Author(s) Snijders, L.; Rooij, E.P. van; Burt, J.; Oers, K. van; Naguib, M.
Source In: Proceedings of Behaviour 2013, International Ethological Conference Association for the Study of Animal Behaviour, Newcastle, United Kingdom, 4 - 8 August, 2013. - Newcastle, United Kingdom : Behaviour 2013 - p. 27 - 27.
Event Newcastle, United Kingdom : Behaviour 2013 33rd International Ethological Conference Association for the Study of Animal Behaviour (Behaviour 2013), 2013-08-04/2013-08-08
Department(s) Behavioral Ecology
PE&RC
WIAS
Publication type Abstract in scientific journal or proceedings
Publication year 2013
Abstract Many animals do not associate at random. Individuals can selectively choose who to avoid or who to approach, but can also have different tendencies to socialize in at all. Personality, the consistent difference in behaviour between individuals, can make this social behaviour of individuals predictable and it can allow others to respond with selective avoidance or association. Until now researchers were unable to simultaneously approximate the personality of individuals and quantify their pair-wise associations in the wild. We overcame this by using the new tracking technology, Encounternet, in a natural population of personality-typed great tits. In March 2012 and 2013 we equipped a large number of personality-typed wild great tits with Encounternet tags sending signals every 5 seconds. These signals could be received by a large number of wireless stations distributed throughout the field site. By triangulating locations we were able to extract, out of several thousands of simultaneous observations, hundreds of close range encounters. Here we will present the results which provide interesting insights into the role of personality in a social network.
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