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Uncovering determinants of animal personalities using movement data

Total Cost €


EC-Contrib. €






Project "PERSONALMOVE" data sheet

The following table provides information about the project.


Organization address
postcode: 60325

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 Germany [DE]
 Total cost 159˙460 €
 EC max contribution 159˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2020-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

The field of animal personality links consistent behavioral variation among individuals to simultaneous differences in life history strategies and fitness. The relative contribution of genetics and developmental processes, such as maternal or individual learning on personality are however poorly understood. The proposal suggests to link animal personality to the field of movement ecology as a new source of data for behavioral studies that allows access to behavioral long term data on long lived wildlife species that was formerly unavailable. Using a unique dataset of multigenerational GPS-relocations, genetic, and dietary data of European brown bears, this research proposal will quantify 1) which portion of personality is determined by genetics and which part by maternal learning, 2) to what degree an animals personality is stable throughout life, and based on that 3) whether behavioral traits measured at earlier stages in life can be used to predict behavior later in life. This will be particularly useful to develop a predictive model of how environmental conditions, maternal behavior and relatedness determine the movement and dispersal behavior of young bears. These behaviors are directly linked with resilience to anthropogenic disturbances as well as population connectivity. In light of expanding carnivore populations across Europe, understanding which individuals are most likely to disperse through anthropogenic landscapes will be critical to successfully mitigate conflicts. The ER will use the latest advances in the field of movement ecology to quantify individual differences in movement strategies among bears. The ER’s experience with the study system, in combination with the supervisors excellence in the field of movement ecology, and the high relevance of the topic for the foreseeable recolonization of parts of Europe by brown bears makes this project of utmost priority.


year authors and title journal last update
List of publications.
2019 H.K. Lodberg-Holm, H.W. Gelink, A.G. Hertel, J.E. Swenson, M. Domevscik, S.M.J.G. Steyaert
A human-induced landscape of fear influences foraging behavior of brown bears
published pages: 18-27, ISSN: 1439-1791, DOI: 10.1016/j.baae.2018.12.001
Basic and Applied Ecology 35 2020-01-28
2019 Anne G. Hertel, Andreas Zedrosser, Jonas Kindberg, Ola Langvall, Jon E. Swenson
Fluctuating mast production does not drive Scandinavian brown bear behavior
published pages: 657-668, ISSN: 0022-541X, DOI: 10.1002/jwmg.21619
The Journal of Wildlife Management 83/3 2020-01-28
2019 Anne G. Hertel, Martin Leclerc, Dan Warren, Fanie Pelletier, Andreas Zedrosser, Thomas Mueller
Don\'t poke the bear: using tracking data to quantify behavioural syndromes in elusive wildlife
published pages: 91-104, ISSN: 0003-3472, DOI: 10.1016/j.anbehav.2018.11.008
Animal Behaviour 147 2019-08-05
2019 Inger Maren Rivrud, Shane C. Frank, Richard Bischof, Atle Mysterud, Sam M. J. G. Steyaert, Anne G. Hertel, Snorre B. Hagen, Hans Geir Eiken, Jon E. Swenson, Andreas Zedrosser
Heritability of head size in a hunted large carnivore, the brown bear ( Ursus arctos )
published pages: , ISSN: 1752-4571, DOI: 10.1111/eva.12786
Evolutionary Applications 2019-08-05

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