Wildlife–Vehicle Collisions and Mitigation: Current Status and Factor Analysis in South Korea

Severe habitat loss and fragmentation due to extensive road development have escalated wildlife-vehicle collisions (WVCs) as one of the major causes of wildlife mortality. This study, spanning 9 years from 2009 to 2017, presents comprehensive WVC data in South Korea, including species composition, seasonal and regional patterns, and road factors influencing WVCs, aiming to analyze their impact and propose effective mitigation strategies. We collected WVC data with road variables for 9 years from 4561 km of nationwide monitoring road sections and analyzed the data to understand the relationship between WVCs and road characteristics, as well as species-specific patterns. A nationwide survey identified 13,606 WVCs involving 143 terrestrial vertebrate species, and patterns and models of the top seven mammal species (raccoon dog (<i>Nyctereutes procyonoides</i>), Siberian chipmunk (<i>Eutamias sibiricus</i>), Siberian weasel (<i>Mustela sibirica</i>), water deer (<i>Hydropotes inermis</i>), red squirrel (<i>Sciurus vulgaris</i>), Korean hare (<i>Lepus coreanus</i>), and leopard cat (<i>Prionailurus bengalensis</i>)) were presented. Patterns revealed declines in WVCs overall, except for water deer. Although spatial differences in WVCs seemed linked more to wildlife habitats, certain road features correlated both positively or negatively with WVC frequency, highlighting complexities in the effectiveness of preventative measures. For effective mitigation and prevention of WVCs, comprehensive strategies considering species traits, seasonality, and road types should be implemented.

Authors

Institutions

Publication Details

Journal
Animals
Published
2024-10-18
DOI
https://doi.org/10.3390/ani14203012
Citations
4
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
1.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wildlife–Vehicle Collisions and Mitigation: Current Status and Factor Analysis in South Korea

Yeong‐Seok Jo, Ju-Won Hwang
4 citations
Animals
Wildlife-Road Interactions and Conservation
1.84
article

Wildlife–Vehicle Collisions and Mitigation: Current Status and Factor Analysis in South Korea

Yeong‐Seok Jo, Ju-Won Hwang
article en
4 citations

Abstract

Severe habitat loss and fragmentation due to extensive road development have escalated wildlife-vehicle collisions (WVCs) as one of the major causes of wildlife mortality. This study, spanning 9 years from 2009 to 2017, presents comprehensive WVC data in South Korea, including species composition, seasonal and regional patterns, and road factors influencing WVCs, aiming to analyze their impact and propose effective mitigation strategies. We collected WVC data with road variables for 9 years from 4561 km of nationwide monitoring road sections and analyzed the data to understand the relationship between WVCs and road characteristics, as well as species-specific patterns. A nationwide survey identified 13,606 WVCs involving 143 terrestrial vertebrate species, and patterns and models of the top seven mammal species (raccoon dog (<i>Nyctereutes procyonoides</i>), Siberian chipmunk (<i>Eutamias sibiricus</i>), Siberian weasel (<i>Mustela sibirica</i>), water deer (<i>Hydropotes inermis</i>), red squirrel (<i>Sciurus vulgaris</i>), Korean hare (<i>Lepus coreanus</i>), and leopard cat (<i>Prionailurus bengalensis</i>)) were presented. Patterns revealed declines in WVCs overall, except for water deer. Although spatial differences in WVCs seemed linked more to wildlife habitats, certain road features correlated both positively or negatively with WVC frequency, highlighting complexities in the effectiveness of preventative measures. For effective mitigation and prevention of WVCs, comprehensive strategies considering species traits, seasonality, and road types should be implemented.

AnimalsVol. 14(20)
Daegu University (KR)
Life in Land
Openalex Percentile: Top 14%
Wildlife-Road Interactions and Conservation
1.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.