Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Comparative Study of Citizen Science and Expert Based Survey Data Using the Species Distribution Model of Rana uenoi

큰산개구리(Rana uenoi ) 종분포모형을 활용한 시민과학 및 전문가 기반 조사자료의 비교연구

  • Woncheol Lee (Department of Environmental Science, Keimyung University) ;
  • Jeongwoo Yoo (Research Center for Endangered Species, National Institute of Ecology) ;
  • Paikho Rho (Department of Global Environment, Keimyung University)
  • 이원철 (계명대학교 환경과학과) ;
  • 유정우 (국립생태원 멸종위기종복원센터) ;
  • 노백호 (계명대학교 지구환경학과)
  • Received : 2023.03.27
  • Accepted : 2023.05.03
  • Published : 2023.06.30
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Abstract

Quantitative habitat model is established with species occurrence and spatial abundance data, which were usually acquired by professional field ecologists and citizen scientists. The importance of citizen science data is increasing, but the quality of these data needs to be evaluated. This study aims to identify and compare both expert-based data and citizen science data based on the performance power of quantitative models derived from both data sets. A Maximum Entropy (MaxENT) model was developed using eight environmental variables, including climate, topography, landcover and distance to forest edge. The AUC values derived from the MaxENT model were 0.842 and 0.809, respectively, indicating a high level of explanatory power. All environmental variables has similar values for both data sets, except for the distance to forest edge and rice paddy, which was relatively higher for expert-based survey data than that of the citizen science data as the distances increased. This result suggests that habitat model derived from expert-based survey data shows more ecological niche including wider ranges from forest edges and isolated habitat patches of rice paddy. This is presumably because citizen scientists focuses on direct observation methods, whereas professional field surveys investigate a wider variety of methods.

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References

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