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
Link To Document :
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