Milosevic-Zlatanovic Svetlana

Craniometric variability of Alpine chamois (Rupicapra rupicapra L.)

Project Number: CH-6228
Project Type: Dissertation
Project Duration: 00/00/0000 - ?
Funding Source: other ,
Leading Institution: University of Kragujevac, Serbia
Project Leader: Ms. Svetlana Milosevic-Zlatanovic
Faculty of Science
University of Kragujevac
Radoja Domanovica 12
RS-34000 Kragujevac

e-Mail: svetlanamz(at)

related to this project.
for which the project has a relevance.

Research Areas:


alpine chamois, craniometric variability

Alpine chamois (Rupicapra rupicapra L.) populations inhabit mountain ranges of central and southeastern Europe and western Asia and are classified into seven subspecies: cartusiana, rupicapra, tatrica, carpatica, balcanica, asiatica and caucasica. We investigated craniometric variability of three subspecies of Alpine chamois: balcanica (from Serbia, Bosnia and Herzegovina, Montenegro, Albania), carpatica (from Romania) and tatrica (from Slovakia) using 63 craniometric characters. When analyzing morphological integration of the skull, significant differences were found between males and females of balcanica and carpatica subspecies, while tatrica subspecies showed lower level of sexual dimorphism. When comparing subspecies, males of all analyzed subspecies differed significantly from each other, while statisticaly significant differences were found only between balcanica and tatrica subspecies. For the complete understanding of the results, nominotypic subspecies rupicapra must be included into analyses. The Alpine chamois populations are declining across Europe, so clarification of the differences between subspecies and between sexes are of great importance for the appropriate game management and conservation of this game species.

Leading questions:
Main aim of this Project is to investigate craniometric variability of Alpine chamois (Rupicapra rupicapra L.) accross Europe on population and subspecies level. A total of 63 craniometric characters are measured and analyzed using univariate and multivariate statical analyses.

Last update: 5/29/20
Source of data: ProClim- Research InfoSystem (1993-2023)
Update the data of project: CH-6228

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