Urban areas in watersheds increase the impervious surface, and agricultural areas deteriorate the water quality of rivers due to the use of fertilizers. As such, anthropogenic land use affects the type, intensity and quantity of land use and is closely related to the amount of substances and nutrients discharged to nearby streams. Riparian vegetation reduce the concentration of pollutants entering the watershed and mitigate the negative impacts of land use on rivers. This study analyzes the data through correlation analysis and regression analysis through point data measured twice a year in spring and autumn in 21 selected damaged tributary rivers within the Han River area, and then uses a structural equation model to determine the area land use. In the negative impact on water quality, the mitigation effect of riparian vegetation was estimated. As a result of the correlation analysis, the correlation between the agricultural area and water quality was stronger than that of the urban area, and the area ratio of riparian vegetation showed a negative correlation with water quality. As a result of the regression analysis, it was found that agricultural areas had a negative effect on water quality in all models, but the results were not statistically significant in the case of urban areas. As a result of the model estimated through the structural equation, BOD, COD, TN, and TP showed a mitigation effect due to the accumulation effect of river water quality through riparian vegetation in agricultural areas, but the effect of riparian vegetation through riparian vegetation was found in urban areas. There was no These results were interpreted as having a fairly low distribution rate in urban areas, and in the case of the study area, there was no impact due to riparian forests due to the form of scattered and distributed settlements rather than high-density urbanized areas. The results of this study were judged to be unreasonable to generalize by analyzing the rivers where most of the agricultural areas are distributed, and a follow-up to establish a structural equation model by expanding the watershed variables in urban areas and encompassing the variables of various factors affecting water quality research is required.

본 연구는 강원도 계방산 대한동계곡 내 위치한 수변림 장기생태 연구지를 대상으로 식물군집의 알파 및 베타 종다양성과 제어인자를 분석하기 위해 수행되었다. 식생조사 결과, 수변림 조사구 내에서 총 61과 126속 189종의 식물종이 관찰되었으며, 고란초과와 미나리아재비과에 속하는 종이 각각 15종으로 가장 많았다. 식물다양성과 제어인자에 대한 분석 결과, 상층과 하층식생의 알파 다양성을 예측하는데 가장 중요한 인자는 각각 경사도와 습윤도 지수였다. 베타 다양성은 조사구 간 거리와 환경인자의 비유사성이 모두 중요한 요인으로 나타났으나, 식물 개체가 속한 산림 층위에 따라 그 상대적 중요성은 달랐다. 즉, 상층식생의 경우 환경인자의 비유사성이 더 중요한 반면, 하층식생의 경우 조사구 간 거리가 더 중요한 인자인 것으로 분석되었다. 본 연구는 계방산 수변림의 식물 다양성과 제어인자가 산림 층위에 따라 다르며, 이들 군집이 상층과 하층식생의 서로 다른 메커니즘에 의해 복합적으로 나타난 현상임을 제안한다.