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Movement, space-use and resource preferences of European golden jackals in human-dominated landscapes: insights from a telemetry study

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Abstract

During the last half-century, the distribution of golden jackals (Canis aureus) has rapidly increased throughout Europe. Today, golden jackals are thriving in human-dominated landscapes across Southeastern and Central Europe. Most studies on golden jackals have focused on large-scale distribution patterns; to date, little is known about the species’ fine-scale spatial ecology. In this study, we analyzed the movement behavior, space-use and resource selection of six golden jackals fitted with GPS-GSM collars in two study areas in Hungary and Serbia. Two of the jackals were a breeding pair. We found that home range size averaged 11.2 km2 (90% autocorrelated kernel density estimation), and was characterized by significant individual-level variability (range 1.3–32.5 km2). Golden jackal movements and resource selection were strongly influenced by circadian patterns: during the day, jackals travelled an average of 300 m every 6 h, and all monitored individuals selected for vegetation cover, often near edges. At night, golden jackals travelled significantly further (1 km 6 h−1), and were more likely to venture outside of cover into agricultural areas. Movement analysis of the breeding pair revealed that the male and female tended to remain in close proximity during the day, but ranged more independently at night. Altogether, our findings suggest that golden jackals’ ability to thrive in human-dominated landscapes rely on a fine spatio-temporal avoidance of humans.

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The analyses relied on established statistical procedures described in the reference literature.

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Acknowledgements

S. Fenton was supported by funds from the Museum of Comparative Zoology at Harvard University. N. Ranc was supported by a Harvard University Graduate Fellowship and a Fondazione Edmund Mach International Doctoral Programme Fellowship. Miklós Heltai was supported by the EFOP-3.6.3-VEKOP-16-2017-00008 project. József Lanszki was supported by the EFOP-3.6.2-16-2017-00014 project and fieldwork by the SEFAG Co. We thank the graduate students of the Harvard Statistical Consulting service, and especially Sanqian Zhang, for suggestions on the analyses, and Đura Nedeljković, Dejan Branković, Zoran Popov and Nikola Vojinović for their invaluable field assistance during the jackal trapping. Finally, we thank Editor-in-Chief Frank E. Zachos, Subject Editor Francesco Ferretti, and two anonymous reviewers for their constructive feedback on early versions of this manuscript.

Funding

This work was supported by the Museum of Comparative Zoology’s Grants-in-aid of Undergraduate Research at Harvard University, the grant from of Ministry of Education, Science and Technical Development of Republic of Serbia (TR 31009) and the SEFAG Co. (Hungary).

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Contributions

NR, DC, JL and ML conceived the original idea; DC, JL, MH, SB, NB, IP and KA collected the data; SF and NR analyzed the data with support from PRM and FC; SF and NR led the writing of the manuscript with support from PRM. All authors contributed critically to the drafts, and gave final approval for publication.

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Correspondence to Nathan Ranc.

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The authors declare no conflicts of interest/competing interests.

Ethics approval

The capture and tagging of wild golden jackals followed the official wildlife research procedures of Hungary and Serbia, respectively.

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All the authors give their consent for publication.

Availability of data and material

Golden jackals are heavily hunted in the study areas. Consequently, in the interest of wildlife conservation, we regret that the detailed locations will not be made publicly available.

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Handling editor: Francesco Ferretti.

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Fenton, S., Moorcroft, P.R., Ćirović, D. et al. Movement, space-use and resource preferences of European golden jackals in human-dominated landscapes: insights from a telemetry study. Mamm Biol 101, 619–630 (2021). https://doi.org/10.1007/s42991-021-00109-2

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  • DOI: https://doi.org/10.1007/s42991-021-00109-2

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