Procjena brojnosti divlje svinje (Sus scrofa) upotrebom senzornih kamera u državnom otvorenom lovištu III/29 "Prolom"

master's thesis

• Title (english): Estimating Wild boar (Sus scrofa) abundance using camera trap data in the state hunting ground III/29 "Prolom"
• Author: Ana-Marija Prpić
• Mentor: Nikica Šprem (mentor)
• Committee member: Nikica Šprem (predsjednik povjerenstva)
• Committee member: Toni Safner (član povjerenstva)
• Committee member: Nikolina Kelava Ugarković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Agriculture; (Department of Fisheries, Beekeeping, Game Management and Special Zoology); Zagreb
• Defense date and country: 2020-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: BIOTECHNICAL SCIENCES; Agronomy

Abstract

Posljednjih nekoliko desetljeća došlo je do značajnog porasta brojnosti populacije divlje svinje u Europi i Hrvatskoj. Iako ekonomski važna lovna vrsta, povećana brojnost ima mnoge negativne učinke na ekosustav općenito, stoga je sve važnija uloga preciznog određivanja populacijskih parametara na kojima bi se temeljilo održivo gospodarenje divljom svinjom. Cilj ovoga istraživanja bio je procijeniti brojnost i odrediti gustoću divlje svinje upotrebom senzornih kamera. Istraživanje je provedeno u razdoblju od siječnja do travnja 2020. na području lovišta III/29 ,,Prolom“. Primjenom REM modela dobivena je gustoća populacije divlje svinje od 18.66 jedinki/km² te brojnost od ca. 1400 jedinki u lovištu. Rezultati upućuju kako je gustoća populacije divlje svinje visoka što je rezultat povoljnih ekoloških i bioloških uvjeta. Ovo istraživanje dalo je prve rezultate primjene REM modela u procjeni brojnosti i gustoće divlje svinje u Hrvatskoj te naglašava efikasnost primjene senzornih kamera kao učinkovitog alata praćenja divljih životinja koji pridonosi kvalitetnijem gospodarenju.

Abstract (english)

In the last few decades, there has been a significant growth of wild boar population in Europe and Croatia. Although an economically important game species, increased abundance has many negative effects on the ecosystem in general, so it is highly important to accurately determine the population parameters on which sustainable wild boar management could be based. The aim of this study was to estimate the abundance and determine the density of wild boar using camera trap data. The research was conducted in the period from January to April 2020 in the area of hunting ground III/29 ,,Prolom". Using the REM model, a wild boar population density in the hunting ground was 18.66 individuals/km² while abundance was approx. 1400 individuals. The results indicate that the wild boar population density is high as a result of favorable ecological and biological conditions. This research gave the first results of the application of the REM model in estimating abundance and density of wild boar in Croatia and emphasizes the efficiency of using camera traps as an effective tool for monitoring wild animals that contributes to better management.

• Keywords: divlja svinja; brojnost; procjena gustoće; senzorne kamere
• Keywords (english): wild boar; abundance; density estimation; camera traps
• Language: croatian
• URN:NBN: urn:nbn:hr:204:391862
• Study programme: Title: Fisheries and Game Management; Study programme type: university; Study level: graduate; Academic / professional title: magistar/ magistra inženjer/inženjerka ribarstva i lovstva (magistar/ magistra inženjer/inženjerka ribarstva i lovstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-06-14 12:20:47