Korean Journal of Environmental Biology (환경생물)

Korean Society of Environmental Biology (한국환경생물학회)
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Development of a link extrapolation-based food web model adapted to Korean stream ecosystems

  • Minyoung Lee (Department of Biological Sciences, Ulsan National Institutes of Science and Technology(UNIST)) ;
  • Yongeun Kim (Ojeong Resilience Institute, Korea University) ;
  • Kijong Cho (Department of Environmental Science and Ecological Engineering, Korea University)
  • Received : 2024.05.29
  • Accepted : 2024.06.20
  • Published : 2024.06.30
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Abstract

Food webs have received global attention as next-generation biomonitoring tools; however, it remains challenging because revealing trophic links between species is costly and laborious. Although a link-extrapolation method utilizing published trophic link data can address this difficulty, it has limitations when applied to construct food webs in domestic streams due to the lack of information on endemic species in global literature. Therefore, this study aimed to develop a link extrapolation-based food web model adapted to Korean stream ecosystems. We considered taxonomic similarity of predation and dominance of generalists in aquatic ecosystems, designing taxonomically higher-level matching methods: family matching for all fish (Family), endemic fish (Family-E), endemic fish playing the role of consumers (Family-EC), and resources (Family-ER). By adding the commonly used genus matching method (Genus) to these four matching methods, a total of five matching methods were used to construct 103 domestic food webs. Predictive power of both individual links and food web indices were evaluated by comparing constructed food webs with corresponding empirical food webs. Results showed that, in both evaluations, proposed methods tended to perform better than Genus in a data-poor environment. In particular, Family-E and Family-EC were the most effective matching methods. Our model addressed domestic data scarcity problems when using a link-extrapolation method. It offers opportunities to understand stream ecosystem food webs and may provide novel insights into biomonitoring.

Keywords

Acknowledgement

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (RS-2023-00240819, 2022R1A6 A3A01087398, and 2021R1A6A1A10045235) and the Ministry of Science and ICT(2019R1A2C1009812).

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