Skip to main content
Log in

The influence of time factors on the dynamics of roe deer collisions with vehicles

  • Original Paper
  • Published:
Landscape and Ecological Engineering Aims and scope Submit manuscript

Abstract

Environmentalists and authorities responsible for road safety are trying to reduce the number of wildlife collisions with vehicles (WCV) worldwide. Roe deer are the most common large animal involved in WCV in Europe. This article discusses the distribution of 2010 wildlife-vehicle collisions involving roe deer (WVRD) in Lithuania in 2013 and 2014. The collisions were analyzed in terms of monthly and daily data for each month separately, and the results are compared with the time of sunrise and sunset in Lithuania. By analyzing trends of natural factors that influence the number of collisions we show that the frequency of WVRD is strongly correlated with seasonal and yearly changes in sunrise and sunset. This research shows that these natural factors are extremely important for the dynamics of WVRD. Future analysis of these factors and application of appropriate preventative measures should significantly reduce the risk of collision between vehicles and roe deer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Apollonio M, Andersen R, Putman R (2010) European ungulates and their management in the 21st century. Cambridge University Press, Cambridge

    Google Scholar 

  • Balčiauskas L (2009) Distribution of species-specific wildlife—vehicle accidents on Lithuanian roads, 2002–2007. Est J Ecol 58:157–168

    Article  Google Scholar 

  • Barthelmess EL, Brooks MS (2010) The influence of body-size and diet on road-kill trends in mammals. Biodivers Conserv 19:1611–1629

    Article  Google Scholar 

  • Cagnacci F, Focardi S, Heurich M, Stache A, Hewison AJM, Morellet N, Kjel-lander P, Linnell JDC, Mysterud A, Neteler M, Delucchi L, Ossi F, Urbano F (2011) Partial migration in roe deer: migratory and resident tactics are endpoints of a behavioural gradient determined by ecological factors. Oikos 120:1790–1802

    Article  Google Scholar 

  • Cervinka J, Riegert J, Grill S, Salek M (2015) Large-scale evaluation of carnivore road mortality: the effect of landscape and local scale characteristics. Mamm Res 60:233–243

    Article  Google Scholar 

  • Clevenger AP, Chruszcz B, Gunson KE (2001) Highway mitigation fencing reduces wildlife–vehicle collisions. Wildl Soc Bull 29:646–653

    Google Scholar 

  • Conover M, Pitt W, Kessler K, DuBow T, Sanborn W (1995) Review of human injuries, illnesses, and economic losses caused by wildlife in the United States. Wildl Soc Bull 23:407–414

    Google Scholar 

  • Cserkész T, Farkas J, Ottlecz B (2012) Complex wildlife–vehicle collision research on the SMMC’s highway network. In: Report to Hungarian State Motorway Management Company, Eötvös University Road Ecological Work Group, Budapest

  • Cserkész T, Ottlecz B, Cserkész-Nagy Á, Farkas J (2013) Interchange as the main factor determining wildlife–vehicle collision hotspots on the fenced highways: spatial analysis and applications. Eur J Wildl Res 59:587–597

    Article  Google Scholar 

  • Dal Compare L, Sturaro E, Cocca G, Ramanzin M (2007) An analysis of roe deer (Capreolus capreolus) traffic collisions in the Belluno province, eastern Italian Alps. Ital J Anim Sci 6:848–850

    Google Scholar 

  • Danks ZD, Porter WF (2010) Temporal, Spatial, and Landscape Habitat Characteristics of Moose– Vehicle Collisions in Western Maine. J Wildl Manage 74:1229–1241. https://doi.org/10.2193/2008-358

    Article  Google Scholar 

  • Damarad T, Bekker GJ (2003) COST 341—habitat fragmentation due to transportation infrastructure: findings of the COST Action 341. Office for Official Publications of the European Communities, Luxembourg

    Google Scholar 

  • De Vries M (2015) Road kills of roe deer (Capreolus capreolus) in the Netherlands: assessment of impacts and mitigation measures. In: MSc internship report, Copernicus Institute of Sustainable Development, Utrecht University, Utrecht

  • Diaz-Varela ER, Vazquez-Gonzalez I, Marey-Pérez MF, Álvarez-López CJ (2011) Assessing methods of mitigating wildlife–vehicle collisions by accident characterization and spatial analysis. Transp Res Part D Transp Environ 16:281–287

    Article  Google Scholar 

  • Evink G (2002) Interaction between roadways and wildlife ecology: a synthesis of highway practice. In: National Cooperative Highway Research Program Synthesis 305, Transportation Research Board, Washington, DC

  • Fahrig L, Rytwinski T (2009) Effects of roads on animal abundance: an empirical review and synthesis. Ecol Soc 14:1–21

    Article  Google Scholar 

  • Findlay CS, Bourdages J (2000) Response time of wetland biodiversity to road construction on adjacent lands. Conserv Biol 14:86–94

    Article  Google Scholar 

  • Forman RTT, Sperling D, Bissonette JA, Clevenger AP, Cutshall CD, Dale VH, Fahrig L, France R, Goldman CR, Heanue K, Jones JA, Swanson FJ, Turrentine T, Winter TC (2003) Road ecology: science and solutions. Island Press, Washington, DC

    Google Scholar 

  • Gibbs JP, Shriver G (2002) Estimating the effects of road mortality on turtle populations. Conserv Biol 16:1647–1652

    Article  Google Scholar 

  • Gomes L, Grilo C, Silva C, Mira A (2009) Identification methods and deterministic factors of owl roadkill hotspot locations in Mediterranean landscapes. Ecol Res 24:355–370. https://doi.org/10.1007/s11284-008-0515-z

    Article  Google Scholar 

  • Groot-Bruinderink GWTA, Hazebroek E (1996) Ungulate traffic collisions in Europe. Conserv Biol 10:1059–1067

    Article  Google Scholar 

  • Gunson KE, Clevenger AP, Ford AT, Bissonette JA, Hardy AA (2009) Comparison of data sets varying in spatial accuracy used to predict the occurrence of wildlife–vehicle collisions. Environ Manage 44:268–277

    Article  PubMed  Google Scholar 

  • Haigh A (2012) Annual patterns of mammalian mortality on Irish roads. Hystrix Ital J Mammal 23:58–66

    Google Scholar 

  • Hubbard MW, Danielson BJ, Schmitz RA (2000) Factors influencing the location of deer-vehicle accidents in Iowa. J Wildl Manage 64:707–713

    Article  Google Scholar 

  • Huijser MP, Mc Gowen P, Fuller J, Hardy A, Kociolek A, Clevenger AP, Smith D, Ament R (2007) Wildlife–vehicle collision reduction study. Report to US Congress. US Department of Transportation, Federal Highway Administration, Washington, DC

    Google Scholar 

  • Joyce TL, Mahoney SP (2001) Spatial and temporal distributions of moose–vehicle collisions in Newfoundland. Wildl Soc Bull 29:281–291

    Google Scholar 

  • Lagos L, Picos J, Valero E (2012) Temporal pattern of wild ungulate-related traffic accidents in northwest Spain. Eur J Wildl Res 58:661–668

    Article  Google Scholar 

  • Langbein J, Putman R, Pokorny B (2011) Traffic collisions involving deer and other ungulates in Europe and available measures for mitigation. Ungulate management in Europe: problems and practices. Cambridge University Press, Cambridge

    Google Scholar 

  • Lithuanian Road Administration (2015) Statistics of fatal and injury road accidents in Lithuania, 2011–2014. Ministry of Transport and Communications of the Republic of Lithuania

  • Litvaitis JA, Tash JP (2008) An approach to understanding wildlife vehicle collisions. Environ Manage 42:688–697

    Article  PubMed  Google Scholar 

  • Loro M, Ortega E, Arce RM, Geneletti D (2016) Assessing landscape resistance to roe deer dispersal using fuzzy set theory and multicriteria analysis: a case study in Central Spain. Landsc Ecol Eng 12:41–60

    Article  Google Scholar 

  • Malo JE, Suarez F, Diez A (2004) Can we mitigate animal-vehicle accidents using predictive models? J Appl Ecol 41:701–710

    Article  Google Scholar 

  • Morelle K, Lehaire F, Lejeune P (2013) Spatio-temporal patterns of wildlife–vehicle collisions in a region with a high-density road network. Nat Conserv 5:53–73

    Article  Google Scholar 

  • Mysterud A (1999) Seasonal migration pattern and home range of roe deer (Capreolus capreolus) in an altitudinal gradient in southern Norway. J Zool 247:479–486

    Article  Google Scholar 

  • Oškinis V, Ignatavičius G, Vilutienė V (2013) An evaluation of wildlife-vehicle collision pattern and associated mitigation strategies in Lithuania. Environ Eng Manage J 12:2323–2330

    Article  Google Scholar 

  • Pokorny B (2006) Roe deer-vehicle collisions in Slovenia: situation, mitigation strategy and counter measures. Vet Arhiv 76:177–187

    Google Scholar 

  • Putman RJ (1997) Deer and road traffic accidents: options for management. J Environ Manage 51:43–57

    Article  Google Scholar 

  • Putman RJ, Langbein J, Staines BW (2004) Deer and road traffic accidents: a review of mitigation measures—costs and cost-effectiveness. Rep Deer Comm Scotl 3:1–6

    Google Scholar 

  • Ramp D, Caldell J, Edwards KA (2005) Modelling of wildlife fatality hotspots along the Snowy Mountain Highway in New South Wales, Australia. Biol Conserv 126:474–490. https://doi.org/10.1016/j.biocon.2005.07.001

    Article  Google Scholar 

  • Rodríguez-Morales B, Díaz-Varela ER, Marey-Pérez MF (2013) Spatiotemporal analysis of vehicle collisions involving wild boar and roe deer in NW Spain. Accid Anal Prev 60:121–133

    Article  PubMed  Google Scholar 

  • Romin LA, Bissonette JA (1996) Deer–vehicle collisions: status of state monitoring activities and mitigation efforts. Wildl Soc Bull 24:276–283

    Google Scholar 

  • Rost GR, Bailey JA (1979) Distribution of mule deer and elk in relation to roads. J Wildl Manage 43:634–641

    Article  Google Scholar 

  • Schoon R (2011) Pas op: aanrijdingen overstekend met reeën wild! In Rtrecht. Terra salica. Bur Faunabeheer 5:14–48

    Google Scholar 

  • Seiler A (2004) Trends and spatial patterns in ungulate–vehicle collisions in Sweden. Wildl Biol 10:301–313

    Article  Google Scholar 

  • Seiler A (2005) Predicting locations of moose–vehicle collisions in Sweden. J Appl Ecol 42:371–382

    Article  Google Scholar 

  • Seiler S, Helldin JO, Seiler C (2004) Road mortality in Swedish mammals: results of a drivers’ questionnaire. Wildl Biol 10:183–191

    Google Scholar 

  • Seo C, Thorne JH, Choi T, Kwon H, Park CH (2015) Disentangling roadkill: the influence of landscape and season on cumulative vertebrate mortality in South Korea. Landsc Ecol Eng 11:87–99

    Article  Google Scholar 

  • Smith-Patten B, Patten M (2008) Diversity, seasonality, and context of mammalian roadkills in the southern Great Plains. Environ Manage 41:844–852

    Article  PubMed  Google Scholar 

  • Snow NP, Williams DM, Porter WF (2014) A landscape-based approach for delineating hotspots of wildlife–vehicle collisions. Landsc Ecol 29:817–829

    Article  Google Scholar 

  • Spellerberg IF (1998) Ecological effects of roads and traffic: a literature review. Glob Ecol Biogeogr Lett 7:317–333

    Article  Google Scholar 

  • Steiner W, Leisch F, Hackländer K (2014) A review on the temporal pattern of deer-vehicle accidents: impact of seasonal, diurnal and lunar effects in cervids. Accid Anal Prev 66:168–181

    Article  PubMed  Google Scholar 

  • Worm B (2014) Het ree: observeren en herkennen. IPC groene ruimte, Arnhem

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gytautas Ignatavicius.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ignatavicius, G., Valskys, V. The influence of time factors on the dynamics of roe deer collisions with vehicles. Landscape Ecol Eng 14, 221–229 (2018). https://doi.org/10.1007/s11355-017-0343-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11355-017-0343-9

Keywords

Navigation