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Species Composition and Community Characteristics by Vegetation Landscape Type of Overpasses

  • Journal of Environmental Impact Assessment
  • Abbr : J EIA
  • 2025, 34(6), pp.488~508
  • Publisher : Korean Society Of Environmental Impact Assessment
  • Research Area : Engineering > Environmental Engineering
  • Received : November 20, 2025
  • Accepted : December 10, 2025
  • Published : December 30, 2025

Sehee Kim 1 Kwangjin Cho 1 Euigeun Song 1 Hanbi Lee 1 Kwangjin Cho 1

1국립생태원

Accredited

ABSTRACT

In this study, overpasses and their adjacent habitats were classified into three landscapetypes, and species composition and community characteristics were examined for each type in orderto propose directions for vegetation establishment in wildlife crossing structures. A total of 282 taxawere recorded, and species richness and diversity were highest in the transition area. The artificialarea showed low species diversity and high dominance, indicating that a few species dominated thecommunity, whereas the forest area exhibited intermediate levels of species richness and diversitybetween the transition and artificial areas. In both the transition area and the artificial area, Asteraceae, Poaceae, and Fabaceae accounted for high proportions of the flora. The proportion of perennial speciesdecreased from the forest area to the transition area and the artificial area, while that of annual speciesincreased in the same order. Detrended correspondence analysis(DCA) showed that the forest areawas strongly associated with tree layer cover and height and litter–humus layer, the transition areawith sub-tree layer cover and height, species diversity and slope, and the artificial area with herb layercover, rock exposure and dominance. Consequently, the forest and artificial areas had distinctcommunity structures, whereas the transition area displayed a mixed structure encompassingcharacteristics of both types. For future vegetation management of wildlife overpasses, enhancingvegetation in the transition and artificial areas to more closely resemble the structural characteristicsof forest vegetation will be important for strengthening ecological connectivity.

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