Traffic networks and wildlife management: economic aspects of wildlife-vehicle collisions in Hungary
DOI:
https://doi.org/10.17836/EC.2024.2.005Kulcsszavak:
natural resource, public road, sustainability, value assessmentAbsztrakt
The public road network puts significant pressure on wildlife species. Road-related mortality is among the first causes of death of huntable species as well. In their case, it causes measurable economic damage to the Hungarian game management sector through wildlife-vehicle collisions (WVCs). Our main goal was to analyze temporospatial patterns of roadkills from the perspective of wildlife management and quantify the economic loss of the sector using WVC data from the Hungarian Game Management Database and legally established wildlife management values of huntable species. We found that a total of 318,480 collisions were reported by game management units during the study period. Our investigation found that the highest annual economic damage suffered by the sector was in 2021 with 5.768 million euros between 2000 and 2021. According to our study, the most threatened species are pheasant (Phasianus colhicus), brown hare (Lepus europeaus), and roe deer (Capreolus capreolus), their occurrence in WVCs determines the economic loss of counties. Our investigation found that small or big game-dominant counties suffer significantly less financial damage from WVCs than the ones with mixed populations of the two animal groups.
JEL-codes: O13, L92, Q56
Hivatkozások
Abraham, J.O. and Mumma, M.A. (2021). Elevated wildlife-vehicle collision rates during the COVID-19 pandemic. Scientific Reports, 11, 20391. DOI: https://doi.org/10.1038/s41598-021-99233-9
Bennett, V. J. (2017). Effects of Road Density and Pattern on the Conservation of Species and Biodiversity. Current Landscape Ecology Reports, 2: 1–11. DOI: http://doi.org/10.1007/s40823-017-0020-6
Bíl, M., Andrášik, R., Cícha, V., Arnon A., Kruuse M., Langbein, J., Náhlik, A., Niemi, M., Pokorny, B., Colino-Rabanal, V. J., Rolandsen, & C. M., Seiler A. (2021). COVID-19 related travel restrictions revented numerous wildlife deaths on roads: A comparative analysis of results from 11 countries. Bio-logical Conservation, Vol. 256, April 2021, 109076. DOI: https://doi.org/10.1016/j.biocon.2021.109076
Borza S., Godó L., Csathó A. I., Valkó O., & Deák B. (2021). A közúti közlekedés természetkárosító hatása a magyarországi gerincesfaunára – Szakirodalmi át-tekintés. Természetvédelmi Közlemények 27: 1–17. DOI: http://doi.org/10.20332/tvk-jnatconserv.2021.27.1
Crooks, K. R., Burdett, C. L., Theobald, D. M., King, S. R. B., Marco, M., Rondinini, C., & Boitani, L. (2017). Quantification of habitat fragmentation reveals ex-tinction risk in terrestrial mammals. Proceedings of the National Academy of Sciences 114(29), 7635–7640. DOI: https://doi.org/10.1073/pnas.1705769114
Csányi, S. (ed., 2021). Vadgazdálkodási Adattár – 2020/2021. vadászati év. Or-szágos Vadgazdálkodási Adattár, Gödöllő, 70.
Cserkész T., & Farkas J. (2015). Annual trends in the number of wildlife-vehicle collisions on the main linear transport corridors (highway and railway) of Hungary. North-Western Journal of Zoology 11(1), 41–50.
Forman, R. T. T., & Alexander L. E. (1998). Roads and their major ecological ef-fects. Annual Review of Ecology and Systematics 29(1), 207–231. DOI: https://doi.org/10.1146/annurev.ecolsys.29.1.207
Gkritza, K., Souleyrette, R. R., Baird, M. J., & Danielson, B. J. (2013). Empirical Bayes Approach for Estimating Urban Deer-Vehicle Crashes Using Police and Maintenance Records. Journal of Transportation Engineering. 140(2). DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000629
Gren, I., Svensson, T. H., Elofsson. K., & Engelmann, K. (2018). Economics of wildlife management—an overview. European Journal of Wildlife Research 64(22). DOI: https://doi.org/10.1007/s10344-018-1180-3
Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001). PAST: Paleontological sta-tistics software package for education and data analysis. Palaeontol Electron, 4(1), 9.
Hothorn, T., Müller, J., Held, L., Möst, L., & Mysterud, A. (2015). Temporal pat-terns of deer–vehicle collisions consistent with deer activity pattern and den-sity increase but not general accident risk. Accident Analysis & Prevention, 81: 143–152. DOI: https://doi.org/10.1016/j.aap.2015.04.037
Janás L. (ed., 2022). Az országos közutak 2021. évre vonatkozó keresztmetszeti forgalma. Magyar Közút Nonprofit Zrt. 2022. június.
Központi Statisztikai Hivatal (2022). Összefoglaló táblák (STADAT), 24.1.1.23. A közúti gépjárművek száma járműnemenként, az év végén.
László R., & Faragó S. (2013). Nagyvadelütések területi megoszlása 1998-2007 közötti időszakban Magyarországon. In: Tóth, M., Simigla, Sz.; Puky, M. (ed., 2013). Vonalas létesítmények és élővilág: Kapcsolatok, megoldások, moni-toring. Vonalas létesítmények IENE Műhelytalálkozó. Budapest, Magyaror-szág: 32.
Little, J. M., & Berrens, R. P. (2008). The Southwestern Market for Big-Game Hun-ting Permits and Services: A Hedonic Pricing Analysis. Human Dimensions of Wildlife 13(3), 143–157. DOI: https://doi.org/10.1080/10871200701883580
Markolt F., Szemethy L., Lehoczki R., & Heltai M. (2012). Spatial and temporal evaluation of wildlife-vehicle collisions along the M3 Highway in Hungary. North-Western Journal of Zoology, 8(2): 414–425.
Martinez-Jauregui, M., Herruzo, & A. C., Campos, P. (2015). What does hunting market price reflect? The role of species, landscape and management. Wildli-fe Research, 42(3): 280-289. DOI: https://doi.org/10.1071/WR14206
Morelle, K., Lehaire, F., & Lejeune, P. (2013). Spatio-temporal patterns of wildlife-vehicle collisions in a region with a high-density road network. Nature Conservation, 5, 53–73. DOI: http://doi.org/10.3897/natureconservation.5.4634
Pagany, R. (2020). Wildlife-vehicle collisions – Influencing factors, data collection and research methods. Biological Conservation Vol. 251, Novem-ber 2020, 108758. DOI: https://doi.org/10.1016/j.biocon.2020.108758
Pulay, Gy. (ed., 2004). Magyar Közlöny, 62., (2004. május 4.). Magyar Hivatalos Közlönykiadó, Budapest.
Ristic, Z., Sajko, G., Simat, K., & Matejevic, M. (2013). Comparative review of hunting tourism in the Czech Republic and Hungary. Researches Reviews of the Department of Geography, Tourism and Hotel Management 42., 205–220.
Schiberna, E., & Szalai, Á. (2015). Economic Analysis of Wild Game Management Sector in Hungary – Red Deer as National Heritage endangered. Tanulmány-kötet Mészáros Károly tiszteletére, 7., 73–81.
Schwabe, K. A., Schuhmann, P. W., Tonkovich, M. J., & Wu, E. (2000). An analysis of deer-vehicle collisions: the case of Ohio. Human Conflicts with Wildlife: Economic Considerations. 10.
Thurzó G. (ed., 2001). Az országos közutak 2000. évre vonatkozó keresztmetszeti forgalma. Állami Közúti Műszaki és Információs Kht. 2001 május.
Tisdell, C., & Wilson, C. (2004). Economics, Wildlife Tourism and Conservation: Three Case Studies. Economics, Ecology and the Environment Working Paper No. 112. University of Queensland, Brisbane, Australia.
Wilkins, D. C., Kockelman, & K. M., Jiang, N. (2019). Animal-vehicle collisions in Texas: How to protect travelers and animals on roadways. Accident Analysis and Prevention, 131., 157–170. DOI: https://doi.org/10.1016/j.aap.2019.05.030
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