Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE

Factors affecting the mortality of Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) by vehicle strike

Amy L. Shima https://orcid.org/0000-0002-2637-3601 A E , David S. Gillieson B , Gabriel M. Crowley https://orcid.org/0000-0002-6171-3026 C , Ross G. Dwyer D and Lee Berger A
+ Author Affiliations
- Author Affiliations

A College of Public Health, Medical and Veterinary Sciences, James Cook University, 1 Solander Drive, Townsville City, Qld 4811, Australia.

B School of Geography, University of Melbourne, Carlton, Vic. 3053, Australia.

C The Cairns Institute, James Cook University, PO Box 6811, Cairns, Qld 4870, Australia.

D School of Biological Sciences, The University of Queensland, St Lucia, Qld 4072, Australia.

E Corresponding author. Email: dvmshima@gmail.com

Wildlife Research 45(6) 559-569 https://doi.org/10.1071/WR17143
Submitted: 12 October 2017  Accepted: 25 July 2018   Published: 8 October 2018

Abstract

Context: Vehicle strike is a major issue where wildlife habitat is intersected by busy roads. Near Threatened Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) is a large (5–10 kg) semi-arboreal mammal found in populated rural and forested areas of north-eastern Australia. Warning signs, rope bridges and underpasses have not prevented ~20 animals being killed on the road each year.

Aims: To identify factors influencing Lumholtz’s tree-kangaroo vehicle strike to help inform mitigation options.

Methods: Citizen sightings (1998–2000) and 90 road-kills collected over 4.5 years on the Atherton Tablelands, Australia, were examined to determine the causes of vehicle strike in Lumholtz’s tree-kangaroo. The spatial distributions of sightings and road-kills were characterised using nearest-neighbour analysis, and the relationship between them was determined using a Bayesian approach that accounted for spatial autocorrelation. Gender, age, weight, season, rainfall, road and verge characteristics, traffic volumes, speed limits and mitigation measures were recorded to assess their influence on road-kill risk. Adequacy of speed limits to prevent collisions along road sections with more than four road-kills per 8 km (hazard zones) was assessed from visibility and stopping distances.

Key results: Vehicle strikes mainly affected male tree-kangaroos (2–5 years, 5.5–8 kg), occurred where live animals were most frequently sighted and were most likely on roads with narrow verges, low visibility and medium traffic volumes. Speed limits at hazard zones were inadequate to prevent collisions. Few warning signs corresponded with these zones, and road mortalities persisted where they did.

Conclusions: Unpredictable dispersal of young males and vehicle speeds unsuited to road conditions drive road mortalities in Lumholtz’s tree-kangaroo. Because tree-kangaroos do not appear to respond to existing mitigation measures, reducing traffic speeds, and increasing visibility, appear to be the most effective mitigation strategies for reducing tree-kangaroo road mortality.

Implications: Our findings suggest that tree-kangaroo road-kill can be reduced by reducing speed limits in line with government recommendations and increasing visibility by clearing road verges along sections of road with the highest tree-kangaroo mortality. Warning signage should be re-evaluated to determine whether its effectiveness can be improved.

Additional keywords: anthropogenic impacts, Bayesian modelling, density dependence, management strategies, spatial ecology, wildlife management.


References

Andrey, J., and Yagar, S. (1993). A temporal analysis of rain-related crash risk. Accident; Analysis and Prevention 25, 465–472.
A temporal analysis of rain-related crash risk.Crossref | GoogleScholarGoogle Scholar |

Bond, A., and Jones, D. (2013). Wildlife warning signs: public assessment of components, placement and designs to optimise driver response. Animals (Basel) 3, 1142–1161.
Wildlife warning signs: public assessment of components, placement and designs to optimise driver response.Crossref | GoogleScholarGoogle Scholar |

Bureau of Meteorology (2017). ‘Climate data online.’ Available at http://www.bom.gov.au/climate/data/index.shtml [Accessed 22 June 2017]

Clevenger, A. P., Chruszcz, B., and Gunson, K. E. (2003). Spatial patterns and factors influencing small vertebrate fauna road-kill aggregations. Biological Conservation 109, 15–26.
Spatial patterns and factors influencing small vertebrate fauna road-kill aggregations.Crossref | GoogleScholarGoogle Scholar |

Coffin, A. W. (2007). From roadkill to road ecology: a review of the ecological effects of roads. Journal of Transport Geography 15, 396–406.
From roadkill to road ecology: a review of the ecological effects of roads.Crossref | GoogleScholarGoogle Scholar |

Coombes, K. E. (2005). The ecology and utilisation of Lumholtz’s tree kangaroos Dendrolagus lumholtzi (Marsupialia: Macropodidae), on the Atherton Tablelands, far north Queensland. Ph.D. Thesis, James Cook University, Cairns, Qld.

D’Amico, M., Román, J., de los Reyes, L., and Revilla, E. (2015). Vertebrate road-kill patterns in Mediterranean habitats: who, when and where. Biological Conservation 191, 234–242.
Vertebrate road-kill patterns in Mediterranean habitats: who, when and where.Crossref | GoogleScholarGoogle Scholar |

Damuth, J., and Janis, C. M. (2014). A Comparison of observed molar wear rates in extant herbivorous mammals. Annales Zoologici Fennici 51, 188–200.
A Comparison of observed molar wear rates in extant herbivorous mammals.Crossref | GoogleScholarGoogle Scholar |

Danks, Z. D., and Porter, W. F. (2010). Temporal, spatial, and landscape habitat characteristics of moose–vehicle collisions in western Maine. The Journal of Wildlife Management 74, 1229–1241.
Temporal, spatial, and landscape habitat characteristics of moose–vehicle collisions in western Maine.Crossref | GoogleScholarGoogle Scholar |

Dwyer, R. G., Carpenter-Bundhoo, L., Franklin, C. E., and Campbell, H. A. (2016). Using citizen-collected wildlife sightings to predict traffic strike hot spots for threatened species: a case study on the southern cassowary. Journal of Applied Ecology 53, 973–982.
Using citizen-collected wildlife sightings to predict traffic strike hot spots for threatened species: a case study on the southern cassowary.Crossref | GoogleScholarGoogle Scholar |

Goosem, M. (1977). Internal fragmentation: the effects of roads, highways and powerline clearings on movements and mortality of rainforest vertebrates. In ‘Tropical Forest Remnants: Ecology, Management and Conservation of Fragmented Communities’. (Eds W. F. Laurance and R. O. J. Bierregaard.) pp. 241–255. (University of Chicago Press: Chicago, IL.)

Goosem, M. (2001). Effects of tropical rainforest roads on small mammals: inhibition of crossing movements. Wildlife Research 28, 351–364.
Effects of tropical rainforest roads on small mammals: inhibition of crossing movements.Crossref | GoogleScholarGoogle Scholar |

Goosem, M. (2003). Effectiveness of East Evelyn faunal underpasses. In ‘The National Environment Conference 2003’. (Eds R. Brown and C. Hanahan.) pp. 143–148. (Queensland Chapter Environmental Engineering Society: Brisbane, Qld.)

Goosem, M. (2007). Fragmentation impacts caused by roads through rainforests. Current Science 93, 1587–1595.

Goosem, M. (2008). Chapter 36. Rethinking road ecology. In ‘Living in a Dynamic Tropical Forest Landscape’. (Eds N. Stork and S. Turton.) pp. 445–459. (Blackwell Publishing: Oxford, UK.)

Goosem, M. (2012). Mitigating the impacts of rainforest roads in Queensland’s Wet Tropics: effective or are further evaluations and new mitigation strategies required? Ecological Management & Restoration 13, 254–258.
Mitigating the impacts of rainforest roads in Queensland’s Wet Tropics: effective or are further evaluations and new mitigation strategies required?Crossref | GoogleScholarGoogle Scholar |

Goosem, M. (2015). Chapter 49. Tropical ecosystem vulnerability and climatic conditions. In ‘Handbook of Road Ecology’. (Eds R. van der Ree, D. J. Smith, and C. Grilo.) pp. 397–406. (John Wiley & Sons, Ltd: Chichester, UK.)

Gubbi, S., Poornesha, H. C., and Madhusudan, M. D. (2012). Impact of vehicular traffic on the use of highway edges by large mammals in a South Indian wildlife reserve. Current Science 102, 1047–1051.

Heise-Pavlov, S. R., and Gillanders, A. (2016). Exploring the use of a fragmented landscape by a large arboreal marsupial using incidental sighting records from community members. Pacific Conservation Biology 22, 386–398.
Exploring the use of a fragmented landscape by a large arboreal marsupial using incidental sighting records from community members.Crossref | GoogleScholarGoogle Scholar |

Heise-Pavlov, S., Forbes, E., Andersen, C., and Prince, M. (2013). Response of Lumholtz’ tree-kangaroos (Dendrolagus lumholtzi) to odours from native arboreal and introduced terrestrial predators: a preliminary study. In ‘Chemical Signals in Vertebrates 12’. (Eds M. L. East and M. Dehnhard.) pp. 269–275. (Springer New York: New York, NY.)

Hobday, A. J. (2010). Nighttime driver detection distances for Tasmanian fauna: informing speed limits to reduce roadkill. Wildlife Research 37, 265–272.
Nighttime driver detection distances for Tasmanian fauna: informing speed limits to reduce roadkill.Crossref | GoogleScholarGoogle Scholar |

Hobday, A. J., and Minstrell, M. L. (2008). Distribution and abundance of roadkill on Tasmanian highways: human management options. Wildlife Research 35, 712–726.
Distribution and abundance of roadkill on Tasmanian highways: human management options.Crossref | GoogleScholarGoogle Scholar |

Kanowski, J., Felderhof, L., Newell, G., Parker, T., Schmidt, C., Stirn, B., Wilson, R., and Winter, J. W. (2001). Community survey of the distribution of Lumholtz’s tree-kangaroo on the Atherton Tablelands, north-east Queensland. Pacific Conservation Biology 7, 79–86.
Community survey of the distribution of Lumholtz’s tree-kangaroo on the Atherton Tablelands, north-east Queensland.Crossref | GoogleScholarGoogle Scholar |

Kofron, C. P., and Chapman, A. (2006). Causes of mortality to the endangered southern cassowary Casuarius casuarius johnsonii in Queensland, Australia. Pacific Conservation Biology 12, 175–179.
Causes of mortality to the endangered southern cassowary Casuarius casuarius johnsonii in Queensland, Australia.Crossref | GoogleScholarGoogle Scholar |

Laurance, W. F., Goosem, M., and Laurance, S. G. W. (2009). Impacts of roads and linear clearings on tropical forests. Trends in Ecology & Evolution 24, 659–669.
Impacts of roads and linear clearings on tropical forests.Crossref | GoogleScholarGoogle Scholar |

Martin, R. (2005). ‘Tree-kangaroos of Australia and New Guinea.’ (CSIRO Publishing: Melbourne, Vic.)

Mkanda, F. X., and Chansa, W. (2011). Changes in temporal and spatial pattern of road kills along the Lusaka–Mongu (M9) highway, Kafue National Park, Zambia. South African Journal of Wildlife Research 41, 68–78.
Changes in temporal and spatial pattern of road kills along the Lusaka–Mongu (M9) highway, Kafue National Park, Zambia.Crossref | GoogleScholarGoogle Scholar |

Newell, G. R. (1999a). Australia’s tree-kangaroos: current issues in their conservation. Biological Conservation 87, 1–12.
Australia’s tree-kangaroos: current issues in their conservation.Crossref | GoogleScholarGoogle Scholar |

Newell, G. R. (1999b). Home range and habitat use by Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) within a rainforest fragment in north Queensland. Wildlife Research 26, 129–145.
Home range and habitat use by Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) within a rainforest fragment in north Queensland.Crossref | GoogleScholarGoogle Scholar |

Newell, G. R. (1999c). Responses of Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) to loss of habitat within a tropical rainforest fragment. Biological Conservation 91, 181–189.
Responses of Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi) to loss of habitat within a tropical rainforest fragment.Crossref | GoogleScholarGoogle Scholar |

Petridou, E., and Moustaki, M. (2000). Human factors in the causation of road traffic crashes. European Journal of Epidemiology 16, 819–826.
Human factors in the causation of road traffic crashes.Crossref | GoogleScholarGoogle Scholar |

Procter-Gray, E. (1985). The behavior and ecology of Lumholtz’s tree kangaroo, Dendrolagus lumholtzi (Marsupialia: Macropodidae). PhD thesis Harvard University, Cambridge, MA.

Quantum GIS Software (2017). ‘QGIS version 2.18.’ Available at http://www.qgis.org/en/site/index.html [accessed 22 March 2017].

Queensland Department of Science, Information Technology and Innovation (2017). ‘Land Cover Change in Queensland 2015–16: Statewide Landcover and Trees Study (SLATS) Data Summaries 1988–2016. Version 1.0.’ Available at https://data.qld.gov.au/ [accessed 14 July 2018].

Queensland Government (2017). ‘Stopping distances on wet and dry roads.’ Available at https://www.qld.gov.au/transport/safety/road-safety/driving-safely/stopping-distances/graph/index.html [Accessed 12 June 2017].

R Core Team (2016). ‘R: a Language and Environment for Statistical Computing.’ Available at https://www.R-project.org/ [accessed 22 March 2017].

Rytwinski, T., and Fahrig, L. (2012). Do species life history traits explain population responses to roads? A meta-analysis. Biological Conservation 147, 87–98.
Do species life history traits explain population responses to roads? A meta-analysis.Crossref | GoogleScholarGoogle Scholar |

Smith, G., and Wikman, J. (2007). ‘How Safe are Queensland’s Roads? Rating Queensland Highways for Risk.’ (Australian Automobile Association: Canberra, ACT.)

Soanes, K., and van der Ree, R. (2015). Reducing road impacts on tree‐dwelling animals. In ‘Handbook of Road Ecology’. (Eds R. van der Ree, D. J. Smith, and C. Grilo.) pp. 334–340. (John Wiley & Sons, Ltd: Chichester, UK.)

Stern, H., De Hoedt, G., and Ernst, J. (2000). Objective classification of Australian climates. Australian Meteorological Magazine 49, 87–96.

Sturtz, S., Ligges, U., and Gelman, A. (2005). R2WinBUGS: a package for running WinBUGS from R. Journal of Statistical Software 12, 1–16.
R2WinBUGS: a package for running WinBUGS from R.Crossref | GoogleScholarGoogle Scholar |

Taylor, B., and Goldingay, R. (2010). Roads and wildlife: impacts, mitigation and implications for wildlife management in Australia. Wildlife Research 37, 320–331.
Roads and wildlife: impacts, mitigation and implications for wildlife management in Australia.Crossref | GoogleScholarGoogle Scholar |

Tisdell, C., Wilson, C., and Nantha, H. S. (2005). Association of public support for survival of wildlife species with their likeability. Anthrozoos 18, 160–174.
Association of public support for survival of wildlife species with their likeability.Crossref | GoogleScholarGoogle Scholar |

Tree Kangaroo and Mammal Group. (2000). ‘Tree-kangaroos on the Atherton Tablelands: Rainforest Fragments as Wildlife Habitat. Information for Shire Councils, Land Managers and the Local Community.’ (Tree Kangaroo and Mammal Group Inc.: Malanda, Qld.)

Weston, N. (2003). The provision of canopy bridges to reduce the effects of linear barriers on arboreal mammals in the Wet Tropics of northeastern Queensland. M.Sc. Thesis, James Cook University, Cairns, Qld.

Weston, N., Goosem, M., Marsh, H., Cohen, M., and Wilson, R. (2011). Using canopy bridges to link habitat for arboreal mammals: successful trials in the Wet Tropics of Queensland. Australian Mammalogy 33, 93–105.
Using canopy bridges to link habitat for arboreal mammals: successful trials in the Wet Tropics of Queensland.Crossref | GoogleScholarGoogle Scholar |

White, P. C. L., and Ward, A. I. (2010). Interdisciplinary approaches for the management of existing and emerging human–wildlife conflicts. Wildlife Research 37, 623–629.
Interdisciplinary approaches for the management of existing and emerging human–wildlife conflicts.Crossref | GoogleScholarGoogle Scholar |

Zuur, A., Savaliev, A., and Ieno, E. (2012). ‘Zero Inflated Models and Generalized Linear Mixed Models with R.’ (Highland Statistics Ltd: Newburgh, UK.)