Christe Philippe

ESTIMATION OF ROE DEER DENSITY USING 20/20 METHOD

Project Number: Parcs Data Center 50103 / 4D CH-7155

Project Type:	Master
Project Duration:	01/01/2021 - 09/12/2021 project completed
Funding Source:	other ,
Leading Institution:	Université de Lausanne
Project Leader:	Dr. Philippe Christe MER Département d'Ecologie et d'Evolution Université de Lausanne Biophore 1015 Lausanne Phone: +41 (0) 21 692 41 57 ; +41 (0) 21 692 41 60 FAX: +41 (0) 21 692 41 65 e-Mail: philippe.christe(at)unil.ch http://www.unil.ch/dee

related to this project.

for which the project has a relevance.

Research Areas:

Biodiversity

Disciplines:

general biology

Abstract:
Most European wild ruminant species are abundant and can cause conflict in local situations and/or create a risk to livestock and/or public health. It is therefore necessary to use robust and cost-efficient method to monitor ungulate population trends, which is essential for management development and further risk assessment. The rapid technological development of camera traps and analytical methods make it possible to obtain density and abundance of species in a non-invasive and cost-efficient way. In this study, we used the new 20/20 method, 20 camera traps during 20 days in a forested area of 1 km2, to estimate the population density of a common and important species in Europe, the European roe deer (Capreolus capreolus). This method includes analysis using the spatially explicit capture-recapture model (SECR). It allows a standardised comparison of roe deer densities between areas of interest. Here we show a higher than expected roe deer density in an area where hunting is allowed, compared to areas where hunting is prohibited. This approach could be applied to address management and conservation issues in Europe such as the estimation of hunting quotas or lynx regulation.

Publications:
Moreno, I. (2020): ESTIMATION OF ROE DEER DENSITY USING 20/20 METHOD. Masterarbeit, Université de Lausanne. PDF Masterarbeit



Last update: 4/5/22
Source of data: ProClim- Research InfoSystem (1993-2024)
Update the data of project: CH-7155

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