The telemetric tracking of wild boar as a tool for field crops damage limitation

Abstract

The article presents the possibilities of visual and statistical outputs from the telemetric tracking of game: activity data, heat map, home regions, movement routes and the points of occurrence. Nowadays the methods of the telemetric tracking of game are also used for finding the best ways to eliminate damage caused by wild boar generally, and field crops damage specifically. From telemetrically gained data it is possible to study the local habits of wild boar and their preference of crops and cultivars in various periods. On the basis of this knowledge it is possible to implement the necessary agrotechnical measures. The pilot processing and verification is run on the portal Zvěř (game) online (http://zver.agris.cz/). Currently there are 11 wild boars marked and tracked. The public part of portal is used for the basic presentation of data; in the non-public part the data of private subjects (agricultural companies and hunting organizations) that are not interested in public presentation are processed in the same way. In this way there is at disposal an integral system of wild boar tracking: capturing, marking, data collection, processing and presentation. This system can be used by research institutions, farmers and hunters.

Crop damage by wild boar (Sus scrofa L.) depending on the crop composition in Central-Eastern Poland

“…The statistical analyses did not consider fodder plants, as there were no precise data and the damage to these plants was estimated at only 0.1%. In turn, maize was distinguished, as this cereal is the most preferred food of wild boars (Amici et al 2012, Jarolímek et al 2014, Zeman et al 2018). The significance level was set at p ≤ 0.05.…”

Daily activity rhythm and habitat use of the semi-free European bison herd during the growing season / Denní aktivita a využití prostředí zubrem evropským (Bison bonasus) během vegetační sezóny

“…The collar was set to record GPS locations (~ 10 m accuracy) at 30 min intervals. The GPS locations were transmitted daily via the GSM module to a secure online database available at http://zver.agris.cz/en/, where the data were stored and backed up without the need of retrieving the collar (Jarolímek et al 2012;Jarolímek et al 2014). As a measure of the accuracy of each GPS location, the collar also recorded a dilution of precision (DOP) value, i.e.…”

Secrets of Success in a Landscape of Fear: Urban Wild Boar Adjust Risk Perception and Tolerate Disturbance

“…Wild boar (Sus scrofa), a social mammal with a growing population throughout Europe (Massei et al, 2015;Keuling et al, 2016), is increasingly present in urban areas (Dinter, 1991;Cahill et al, 2003Cahill et al, , 2012Jansen et al, 2007;Podgorski et al, 2013). Wild boar frequently interfere with people, as they annoy garden owners (e.g., by rooting), can destroy agricultural crops (Amici et al, 2012;Ficetola et al, 2014;Jarolimek et al, 2014;Laznik and Trdan, 2014) and are potential transmitters of zoonotic diseases or diseases relevant to livestock (Fernández et al, 2006;Jansen et al, 2007;Chiari et al, 2015). Therefore, they are a useful model to study the ability of urban wildlife to perceive and respond to spatial variation in the landscape of fear.…”

“…Moreover, studying wild boar assists local authorities to develop appropriate management tools to minimize human-wildlife conflicts. Despite numerous studies on wild boar demonstrated substantial variation in home range size and kinetics of movements in natural and agricultural landscapes (Dardaillon and Beugnon, 1987;Cousse et al, 1992;Janeau et al, 1995;Thurfjell et al, 2013;Jarolimek et al, 2014;Morelle et al, 2014Morelle et al, , 2015, studies of urban wild boar are rare (Cahill et al, 2003(Cahill et al, , 2012Podgorski et al, 2013;Stillfried et al, 2017a,b).…”