• DocumentCode
    145225
  • Title

    Road network impacts on wildlife animals: A simulation study

  • Author

    Liang Gao ; Yanan Miao ; Wanchen Gao ; Xiaobao Yang ; Bingfeng Si

  • Author_Institution
    MOE Key Lab. for Urban Transp. Complex Syst. Theor. & Technol., Beijing Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    430
  • Lastpage
    432
  • Abstract
    Habitat fragmentation is a harmful impact on wild animals. In this paper, we propose an agent-based simulation model to estimate the fragmentation impacts (FIs) on wild animals caused by road network. We employ predator-prey system as a simplified ecological system, and investigate FIs on wildlife by adding roads gradually into the habitat of wildlife. Simulation results are well consistent with the ecological observation from previous researches. We find that (1) when road density increasing, but still below the critical threshold, wolves´ population decrease monotonically; (2) when road density steps over the critical threshold, wolves are extinct; surprisingly, (3) after the extinction of wolves, sheep cannot recover to the carrying capacity of the initial state without wolves. Our simulation model provides not only a way to estimate the ecological impacts caused by the existed road network, but also a tool for considering alternative regional policies of road network planning.
  • Keywords
    ecology; predator-prey systems; roads; agent-based simulation model; ecological impacts; fragmentation impact estimation; habitat fragmentation; predator-prey system; road density; road network impacts; simplified ecological system; wildlife animals; Biological system modeling; Planning; Roads; Sociology; Statistics; Wildlife; Multi-agent simulation; ecological fragmentation; road network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948146
  • Filename
    6948146