텍스트마이닝을 활용한 종분포모형의 국내 연구 동향 파악

서지정보

ㆍ발행기관 : 한국환경생물학회 ㆍ수록지정보 : 환경생물 / 41권 / 4호
ㆍ저자명 : 김동주, 권용성, 한나연, 이도훈

목차

1. 서 론
2. 재료 및 방법
2.1. 분석대상 선정
2.2. 국내 종분포모형 문헌 수집
2.3. 텍스트 전처리 및 사전제작
2.4. 종분포모형 활용 논문의 문헌학적 분석
2.5. 종분포모형 활용 동향 분석
2.6. 텍스트마이닝
3. 결과 및 고찰
3.1. 종분포모형 문헌학적 특성
3.2. 종분포모형의 활용 동향
3.3. 텍스트마이닝 기법을 활용한 종분포모형 활용 동향
적 요
CRediT authorship contribution statement
Declaration of Competing Interest
사 사
REFERENCES

영어 초록

Species distribution model (SDM) is used to preserve biodiversity and climate change impact. To evaluate biodiversity, various studies are being conducted to utilize and apply SDM. However, there is insufficient research to provide useful information by identifying the current status and recent trends of SDM research and discussing implications for future research. This study analyzed the trends and flow of academic papers, in the use of SDM, published in academic journals in South Korea and provides basic information that can be used for related research in the future. The current state and trends of SDM research were presented using philological methods and text-mining. The papers on SDM have been published 148 times between 1998 and 2023 with 115 (77.7%) papers published since 2015. MaxEnt model was the most widely used, and plant was the main target species. Most of the publications were related to species distribution and evaluation, and climate change. In text mining, the term ‘Climate change’ emerged as the most frequent keyword and most studies seem to consider biodiversity changes caused by climate change as a topic. In the future, the use of SDM requires several considerations such as selecting the models that are most suitable for various conditions, ensemble models, development of quantitative input variables, and improving the collection system of field survey data. Promoting these methods could help SDM serve as valuable scientific tools for addressing national policy issues like biodiversity conservation and climate change.

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