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http://dx.doi.org/10.11626/KJEB.2022.40.1.099

Environmental spatial data-based vegetation impact assessment for advanced environmental impact assessment  

Yuyoung Choi (Ojeong Resilience Institute, Korea University)
Ji Yeon Lee (Department of Environmental Science and Ecological Engineering, Korea University)
Hyun-Chan Sung (Ojeong Resilience Institute, Korea University)
Publication Information
Korean Journal of Environmental Biology / v.40, no.1, 2022 , pp. 99-111 More about this Journal
Abstract
Vegetation is the basis for biodiversity conservation and sustainable development. In the Environmental Impact Assessment (EIA), which is the most direct and efficient policy measure to prevent degradation of nature, vegetation-related assessment has limitations as it is not based on quantitative and scientific methods. In addition, it focuses on the presence of protected species; hence, it does not take into account the role of vegetation as a habitat on a wide-area scale. As a way to overcome these limitations, this study aims to contribute to the quantification and advancement of future EIA on vegetation. Through the review of previous studies, core areas, connectivity, and vegetation condition were derived as the items to be dealt within the macroscopic aspect of vegetation impact assessment. Each item was spatially constructed using land cover maps and satellite imageries, and time series change analysis was performed. As a result, it was found that vegetation has been continuously deteriorating due to development in all aspects, and in particular, development adversely affects not only the inside of the project site but also the surrounding area. Although this study suggested the direction for improvement of the EIA in the vegetation sector based on data analysis, a more specific methodology needs to be established in order to apply it to the actual EIA process. By actively utilizing various environmental spatial data, the impact of the development on the natural ecosystem can be minimized.
Keywords
vegetation conservation; core area; connectivity; NDVI; landscape ecological approach;
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