ArticleEnvironmental management2026
Increasing riparian vegetation cover to improve water quality: the importance of considering land use.
Article in Environmental management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Riparian vegetation plays a crucial role in regulating sediment dynamics, reducing surface runoff, mobilising sediment and stabilising streambanks. Despite extensive research on sediment loads and riparian vegetation individually, there remains a gap in understanding their interrelationship, particularly within the context of water quality and catchment management. This study investigates the statistical association between water quality and riparian vegetation cover within the Herbert catchment, Far North Queensland, Australia. Over one million total suspended sediment equivalent (TSSeq) data points were collected from 14 monitoring sites between December 2020 and December 2023, averaged into 361 monthly samples and paired with site-specific total cover (TC) values. Using Spearman's rank correlation across land use disturbance classes (minimal, moderate, high) and seasonal subsets, results revealed a significant overall negative correlation between TSSeq and TC (ρ = -0.431, p < 0.0001). The strength of this relationship declined with increasing disturbance: minimal disturbance sites showed the strongest correlation (ρ = -0.530, p < 0.0001), while at high disturbance sites the correlation was not significant (ρ = 0.075, p > 0.05). Seasonal analysis showed stronger correlations during the wet season, except in high disturbance areas, where the dry season correlation was higher but still not statistically significant. Limitations in TC's ability to distinguish vegetation types and capture dynamic cover changes in disturbed areas are discussed. These findings highlight the importance of riparian vegetation in improving water quality and underscore the need for refined remote sensing methods when integrating high-resolution temporal water quality datasets.
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