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Crisis & Safety: A Study on the Change of the Urbanization Index according to the Increase or Decrease of Naturalized Plants

임원현|Changjun Kim|Hyangju Lee
동북아학술저널연합 (Northeast Asian Studies Journal Institute (J-INSTITUTE))|2022.03|International Journal of Crisis & Safety|제7권 제1호|pp. 25-36

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참고문헌

키워드

ChangePredictionNaturalized PlantsUrbanization IndexNational Natural Environment Survey
주제분류기타사회과학

초록

Purpose: This study was based on the flora survey data of 1,200 places (776 map index system numbers) over 12 years in the National Natural Environment Survey, Korea's largest basic research project on natural ecosystems. The researchers conducted this study to analyze the differences in the urbanization index by year, altitude, forest land ratio, and population density, investigate the correlations through curvilinear regression analysis, and predict the changes in the urbanization index. Method: The Urbanization Index is the ratio of naturalized plants in the research area to the total number of naturalized plant species (321 species) distributed in South Korea. This paper calculated the urbanization index using the method by 'Lim Yangjae' and 'Jeon Uisik.' One-way ANOVA was performed to analyze the differences in the urbanization index by categories. In addition, curvilinear regression analysis was performed to investigate the correlation between urbanization index and categories. The Spss Statistics 21 statistical program performed the above statistical analyses. Results: The urbanization index showed differences in four categories. In the correlation analysis, the correla-tion between the urbanization index and the years had a positive correlation in which the urbanization index in-creases every year. The urbanization index and the altitudes had a negative correlation in which the urbanization index decreases as the altitude increases. The urbanization index and the forest land ratios had a negative corre-lation in which the urbanization index decreases as the forest land ratio increases. The urbanization index and the population densities had a negative correlation in which the urbanization index decreases as the population density increases, but had a positive correlation in which it increases after a certain point in time. Conclusion: As a result of synthesizing the analyses, the relational formula created from the correlation analy-sis with the years was suitable for predicting the urbanization index. By applying the formula 𝑦=1.754+0.465𝑥(𝑦=urbanization index, 𝑥=year), the results of predicting the urbanization index were at 11.01 in 2025, 13.38 in 2030, 18.03 in 2040, and 22.68 in 2050. The urbanization index increased year by year.

Abstract

Purpose: This study was based on the flora survey data of 1,200 places (776 map index system numbers) over 12 years in the National Natural Environment Survey, Korea's largest basic research project on natural ecosystems. The researchers conducted this study to analyze the differences in the urbanization index by year, altitude, forest land ratio, and population density, investigate the correlations through curvilinear regression analysis, and predict the changes in the urbanization index. Method: The Urbanization Index is the ratio of naturalized plants in the research area to the total number of naturalized plant species (321 species) distributed in South Korea. This paper calculated the urbanization index using the method by 'Lim Yangjae' and 'Jeon Uisik.' One-way ANOVA was performed to analyze the differences in the urbanization index by categories. In addition, curvilinear regression analysis was performed to investigate the correlation between urbanization index and categories. The Spss Statistics 21 statistical program performed the above statistical analyses. Results: The urbanization index showed differences in four categories. In the correlation analysis, the correla-tion between the urbanization index and the years had a positive correlation in which the urbanization index in-creases every year. The urbanization index and the altitudes had a negative correlation in which the urbanization index decreases as the altitude increases. The urbanization index and the forest land ratios had a negative corre-lation in which the urbanization index decreases as the forest land ratio increases. The urbanization index and the population densities had a negative correlation in which the urbanization index decreases as the population density increases, but had a positive correlation in which it increases after a certain point in time. Conclusion: As a result of synthesizing the analyses, the relational formula created from the correlation analy-sis with the years was suitable for predicting the urbanization index. By applying the formula 𝑦=1.754+0.465𝑥(𝑦=urbanization index, 𝑥=year), the results of predicting the urbanization index were at 11.01 in 2025, 13.38 in 2030, 18.03 in 2040, and 22.68 in 2050. The urbanization index increased year by year.

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관련 논문AI추천

HUMAN & DISASTER: A Study of Prediction on the Species Number and Naturalization Index of Land Naturalized PlantsCheon Woo-kwang, Lee Hyang-ju, Lim Won-hyeon동북아학술저널연합 · International Journal of Human & Disaster2020 · 제5권 제1호Selection of URBANIZATION Indicator Species Through Naturalized Plant Distribution AnalysisChangjun Kim, Hyangju Lee, Wonhyeon Lim동북아학술저널연합 · International Journal of Crisis & Safety2021 · 제6권 제4호A Study on the Distribution Characteristics of NATURALIZED PLANTS: For Gyeongsangbuk-do Area임원현, Byeonggu Yang, Changjun Kim, Hyangju Lee동북아학술저널연합 · International Journal of Human & Disaster2021 · 제6권 제2호외래식물의 공간분포와 토지피복간의 상관성 연구 -전국자연환경조사 자료를 중심으로-김명진, 신영규, 신현철, 정태준한국환경영향평가학회 · 환경영향평가2013 · 제22권 제5호서울시 도시 숲의 경관생태와 관리방안공우석, 김건옥, 박희나, 이슬기한국환경영향평가학회 · 환경영향평가2014 · 제23권 제3호토지피복 변화를 반영한 미래의 산림식생 분포 예측에 관한 연구박찬, 김재욱, 이동근한국환경영향평가학회 · 환경영향평가2010 · 제19권 제2호

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