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Gewählte Master / Diploma Thesis:

Barbara Friemel (2013): Anwendung der Frischkotgenotypisierung zur Bestandsschätzung einer Rehwildpopulation (Capreolus capreolus) im Bienwald, Rheinland-Pfalz.
Master / Diploma Thesis - Institut für Wildbiologie und Jagdwirtschaft (IWJ), BOKU-Universität für Bodenkultur, pp 79. UB BOKU obvsg FullText

Data Source: ZID Abstracts
In April 2012 we conducted population size estimation on a free ranging roe deer (Capreolus capreolus) population in a woodland area in the south of the Palatinate (Germany), named the Bienwald. Estimating population size of species living in concealing habitats, as it is the case for roe deer, is particularly difficult because of their limited visibility. To overcome this problem, we used a non-invasive genetic capture-marc-recapture approach based on faeces collected along transects. We analyzed 974 samples via microsatellite analysis using seven dinucleotide markers and one additional marker to determine the sex of the sampled animal. The genotyping process showed high success rates for 678 samples and we were able to distinguish 271 individuals (101 males, 170 females) in our study area with a sex ratio of 1:1.68 (males:females). The distribution of samples over the study area showed a high number of samples in the north and west parts of the area, which consisted mainly of young and middle-aged pine stands. We found fewer samples in the southern and eastern parts, where old open oak stands without undergrowth dominate over other tree species. To estimate the abundance, we used program MARK, CAPWIRE and R (Bayesian estimator according to PETIT and VALIÈRE 2006). We estimated population size with and without consideration of individual heterogeneity. The estimations of abundance ranged between 292 und 422 individuals and the density estimations (which were derived from the abundance estimations) varied between 8.16 und 11.79 Individuals/100 ha. All models assumed individual heterogeneity for our data set. Therefore we recommend using the estimations with consideration of individual heterogeneity for management measures and, in our case, usage of program CAPWIRE because it is the most suitable for non-invasive genetic sampling.

Beurteilende(r): Hackländer Klaus

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