An Application Study on Vegetation Indicator for The Assessment of River/Stream Conditions In Korea — ASN Events

An Application Study on Vegetation Indicator for The Assessment of River/Stream Conditions In Korea (#56)

seung H CHUN 1 , Yoon J CHA 2 , Woo R KIM 3 , Soo K CHAE 4
  1. Landscape Architecture, Gachon University, Sungnam City , Gyeonggi Province, South Korea
  2. Landscape Architecture, Gachon University, Sungnam City, Gyeonggi Province, South Korea
  3. Korea Institute of Civil Engineering and Building Technology, Goyang city, Gyeonggi Province, South Korea
  4. Environmental Health and Safety, Eulji University, Sungnam City, Gyeonggi Province, South Korea

It was developed a standardized integrated assessment system for stream environment which improve the efficiency and consistency for stream restoration project in Korea. The system was consisted with 4 criteria (Geomorphology, biology, water quality, and amenity), 12 sections and 39 indicators for assessment of stream environment.

Actual vegetation, as well as a continuous physical structure of stream condition, plays key role of stream habitat. .

This study was carried out to testify the vegetation indicator on 3 experimental streams in physiognomic level. The experimental streams have well-preserved naturalness relatively, and represent traditional Korean stream characteristics.

The study was carried on both desk analysis (based on airborne digital image with high resolution) and field survey. 3 vegetation indicators were used: 1) an index of vegetation complexity to quantify the vertical structure of physiognomic vegetation patches, 2) an index of vegetation diversity, focused on dominant species in the uppermost layer to figure out the horizontal structure, and 3) an index of vegetation naturalness to assess the anthropogenic disturbance of the same vegetation patch.

It was proved that the vegetation assessment indicator was capable to sufficiently reflect the contemporary status of the stream condition and also proved to be both rapid and scientific assessment system, based on analysis of high resolution images. However, due to different features of each stream segments, each indicator level should be compared relatively, and it could be overcome by further studies and data accumulation through application of several experimental streams in broad region.

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