Korean Journal of Environmental Biology (환경생물)

Korean Society of Environmental Biology (한국환경생물학회)
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Trends identification of species distribution modeling study in Korea using text-mining technique

텍스트마이닝을 활용한 종분포모형의 국내 연구 동향 파악

  • Dong-Joo Kim (Division of Ecological Assessment, National Institute of Ecology) ;
  • Yong Sung Kwon (Division of Ecological Assessment, National Institute of Ecology) ;
  • Na-Yeon Han (Environmental Policy Department, Seongnam City) ;
  • Do-Hun Lee (Division of Ecological Assessment, National Institute of Ecology)
  • 김동주 (국립생태원 환경영향평가팀) ;
  • 권용성 (국립생태원 환경영향평가팀) ;
  • 한나연 (성남시청 환경정책과) ;
  • 이도훈 (국립생태원 환경영향평가팀)
  • Received : 2023.09.11
  • Accepted : 2023.11.08
  • Published : 2023.12.31
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Abstract

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.

종분포모형은 생물다양성 보전 및 기후변화 영향평가 등을 위해 활발히 이용되는 방법론이며, 국내에서도 다양한 연구가 진행되고 있으나, 관련 연구 현황과 최근의 동향을 파악하고 시사점을 논의하여 미래 연구에 유용한 정보를 제공하는 연구는 부족한 실정이다. 본 연구에서는 국내의 학술지에서 출판된 학술논문을 대상으로 종분포모형의 활용 동향과 흐름을 파악하여 향후 관련 연구에서 활용될 수 있는 기초적인 정보를 제공하고자 하였다. 우리는 국내의 관련 학술논문을 수집하여 문헌학적 방법과 텍스트마이닝을 통해 분석했고 이를 토대로 종분포모형 관련 연구현황과 최근의 동향을 파악하였다. 국내 종분포모형 관련 학술논문은 1998년부터 2023년까지 총 148편이 출판되었으며, 그중 115편(77.7%)은 2015년 이후 출판된 것으로 나타났다. 다양한 알고리즘 중 MaxEnt 모델이 가장 많이 활용되었으며(44.5%), 식물을 대상으로 한 연구와 생물종 분포 및 평가, 기후변화와 관련된 주제가 주요 주제로 다루어졌다. 텍스트마이닝 분석에서 가장 많이 출현한 핵심어는 "Climate change"로 다양한 연구 주제에서 기후변화로 인한 생물다양성 변화를 고려하였다. 향후 종분포모형의 활용에는 다양한 조건에 따른 최적의 모형 선택, 모형 간 연계, 정량적인 입력 변수의 개발 등을 고려할 필요가 있으며, 현지 조사 자료의 수집 체계 개선 등을 도모하면 생물 다양성 보전과 기후 대응 등 국가 정책 수요에 유용하게 활용될 수 있는 과학적 도구로써 기여가 가능할 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 환경부 국립생태원 「육상풍력발전 생태분야 모니터링 및 환류체계 구축 연구(II) (NIE-C-2023-90)」 및 한국환경산업기술원 「기후변화 적응을 위한 의사결정형 통합 영향평가 플랫폼 기반 구축 및 활용기술개발(2022003570007)」의 지원으로 수행되었습니다.

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