Biological Relevance and Improvement Directions of Metrics in the Habitat and Riparian Index (HRI).
This study examined the biological relevance of individual metrics of the Habitat and Riparian Index (HRI) and evaluated whether their relationships with aquatic ecosystem health differed between the current HRI scoring scheme and the 1~5 common-scale scoring scheme. Data from 2,432 sites monitored nationwide during 2022~2024 were used for all analyses. Ten HRI metrics, three biological indices-the Trophic Diatom Index (TDI), Benthic Macroinvertebrate Index (BMI), and Fish Assessment Index (FAI)-and fourteen environmental covariates were analyzed. Spearman rank correlations, five multiple-regression models, Shapley/LMG relativeimportance analysis, and river-context interaction models were applied under both scoring schemes. Flow velocity diversity showed the most consistent positive relationships with all three biological indices and high relative importance under both scoring schemes. Substrate and landside land use were particularly associated with BMI and FAI, whereas the natural sandbar metric showed sensitivity to scoring scheme and stream type. Cross-channel structure showed relatively high importance, especially for FAI, but its relationships with the biological indices were consistently negative. Model explanatory power differed between the two scoring schemes, with generally higher values under the current HRI scoring scheme. These differences were interpreted as sensitivity to scoring structure rather than as an independent effect of weighting. These results indicate that future HRI improvement should consider metric-specific biological relevance, sensitivity to scoring scheme, direction of association, and stream-type differences.