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master's thesis
Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta
Zagreb: University of Zagreb, Faculty of Agriculture, 2023. urn:nbn:hr:204:791536
Mihelčić, Antun
University of Zagreb
Faculty of Agriculture
Plant Breeding Genetics, Biometrics and Experimentation

Institutional repository: Repository Faculty of Agriculture University of Zagreb

Cite this document

Mihelčić, A. (2023). Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta (Master's thesis). Zagreb: University of Zagreb, Faculty of Agriculture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:204:791536

Mihelčić, Antun. "Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta." Master's thesis, University of Zagreb, Faculty of Agriculture, 2023. https://urn.nsk.hr/urn:nbn:hr:204:791536

Mihelčić, Antun. "Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta." Master's thesis, University of Zagreb, Faculty of Agriculture, 2023. https://urn.nsk.hr/urn:nbn:hr:204:791536

Mihelčić, A. (2023). 'Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta', Master's thesis, University of Zagreb, Faculty of Agriculture, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:204:791536

Mihelčić A. Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta [Master's thesis]. Zagreb: University of Zagreb, Faculty of Agriculture; 2023 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:204:791536

A. Mihelčić, "Procjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta", Master's thesis, University of Zagreb, Faculty of Agriculture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:204:791536

Metadata
TitleProcjena brojnosti zlatnog čaglja (Canis aureus) metodom modela nasumičnih susreta
Title (english)Estimation of golden jackal (Canis aureus) abundance with random encounter model
AuthorAntun Mihelčić
MentorToni Safner (mentor)
Committee memberToni Safner (predsjednik povjerenstva)
Committee memberNikica Šprem (član povjerenstva)
Committee memberTea Tomljanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Agriculture
(Plant Breeding Genetics, Biometrics and Experimentation)
Zagreb
Defense date and country2023-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Agronomy
Abstract
U posljednjih nekoliko desetljeća u Hrvatskoj i Europi je zabilježen porast brojnosti i širenje populacija zlatnog čaglja (Canis aureus) zbog čega su potrebne sofisticirane metode praćenja te vrste. Cilj ovog rada bio je procijeniti gustoću i veličinu populacije zlatnog čaglja koristeći kamere s pasivnim infracrvenim senzorom i model nasumičnih susreta (eng. random encounter model; REM) za kojeg nije potrebna identifikacija životinja na razini jedinke. Istraživanje je provedeno u državnom otvorenom lovištu IX/13 "Senj". Procijenjena gustoća populacije bila je 1.47 ± 0.41 čagljeva/km2 i brojnost c. 90–160 čagljeva. Model nasumičnih susreta doprinos je razvoju metodologije za monitoring čaglja i korisna je metoda za procjenu populacijskih parametara čaglja.
Abstract (english)
In the last several decades in Croatia and Europe, an increase in abundance and expansion of golden jackal (Canis aureus) populations have been observed, making sophisticated methods for monitoring of this species necessary. The aim of this study was to estimate population density and size of golden jackal using passive infrared sensor cameras and random encounter model (REM) that does not require individual identification of animals. Survey was conducted in state open hunting ground IX/13 "Senj". Estimated population density was 1.47 ± 0.41 jackals/km2 and abundance c. 90–160 jackals. The random encounter model adds to the methodological development of jackal monitoring and is a useful method for estimation of jackal population parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:204:791536
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-10-06 08:49:04