Hackländer Klaus

Eine Pilotstudie für ein Fotofallen-Monitoring von Rotfüchsen (Vulpes vulpes) im Schweizerischen Nationalpark

Project Number: CH-6416
Project Type: Master
Project Duration: 01/13/2017 - 08/07/2017 project completed
Funding Source: other ,
Leading Institution: BOKU Wien
Project Leader: Prof. Klaus Hackländer
Wildbiologie und Jagdwirtschaft
Department für Integrative Biologie und Biodiversitätsforschung
BOKU
Gregor-Mendel-Strasse 33
AT-1180 Wien
Austria
Phone: +43 (0) 1 476 54 44 51
FAX: +43 (0) 1 476 54 44 59
e-Mail: klaus.hacklaender(at)boku.ac.at
http://www.iwj.at
Metadata: http://www.parcs.ch/snp/mmd_fullentry.php?docu_id=35179

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

Disciplines:
zoology
environmental sciences

Keywords:
Rotfuchs, vulpes vulpes, Monitoring, Fotofallen

Abstract:
The Swiss National Park is running a long-term monitoring with different subprojects including a study that uses camera traps and is focused on red foxes (Vulpes vulpes). To investigate the spatial distribution of the foxes and its alteration over time the software PRESENCE is used. This enables the estimation of the detection probability and the site occupancy. The shift in the site occupancy over the years, allows to observe the dynamics in the spatial distribution of the foxes. To estimate the detection probability, a site history is created by revisiting the placements of the camera traps over a certain period of time. This creates presence-absence data and the use of the site histories allows an accurate approximation of the parameters. This master thesis is a pilot study for the future monitoring by camera traps and is aiming to obtain the optimal methods for the long-term monitoring by maximizing the detection probability. This includes the determination of optimal camera sites, the effect of an olfactory bait (fish oil) and the amount of necessary cameras per square km. To do so 15 squares of 1km2 were defined as study area. Four cameras were set per square, three with fish oil and one without. The cameras were controlled every two weeks over a total of ten weeks. The preselection didn’t show any distinct results. The variables with the highest relative variable importance were the amount of precipitation, fish oil, the elevation above sea level, forest, the slope, temperature and the distance to the hiking trails. The model selection by using the package unmarked in R confirmed the results of the preselection. The results support the classification of the red fox as a generalist. The analysis to define the amount of necessary camera traps per square was more obvious. With a decreasing number of cameras, the detection probability declined. Inverse, the standard error of the site occupancy was increasing with a decreasing number of cameras. The results further showed that a single camera per square would be sufficient if the camera is set at an optimal spot. For the future long-term monitoring, a spatial and temporal expansion is planned. Due to the unclear results it is not possible to give a final advice for the optimal setting of the cameras traps. The method used in the future long-term monitoring is a chance to use presence-absence in an alternative way and to observe the dynamics of the spatial distribution over the years. The method is especially suitable if the target species uses a large home range, behaves cryptic and is difficult to recognize individually as the fox does.

Publications:

Bachmann, S. (2017) Fotofallen-Monitoring von Rotfüchsen (Vulpes vulpes) im Schweizerischen Nationalpark. Master Thesis, Universität für Bodenkultur Wien BOKU.

Publikations-Seite


Last update: 4/13/18
Source of data: ProClim- Research InfoSystem (1993-2020)
Update the data of project: CH-6416

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