- Research Article
- 10.1080/20442041.2025.2544575
Landscape controls on spatial hydrobiochemical variability in streams within Great Lakes watershed
- Aug 06, 2025
- Inland Waters
- Yong Q Tian + 4 more +4
ABSTRACT Understanding of factors that regulate stream ecosystems is needed to guide effective management strategies. This study identified indicators effective in assessing spatial variation in stream trophic states by comparing a range of biochemical and physical properties with landscape features. Using monthly water samples collected from streams ranging from headwater tributaries to river outlets in lowland region of the Great Lakes Basin, we developed an analytical framework that integrates principal component analysis (PCA) to assess stream ecosystem services. The PCA analysis based on water properties explained ∼85% of the variance in annual mean trophic states, which increased to 91% with the inclusion of landscape features. Using principal components as variables, the linear regression model based on landscape features explained most of the variance in suspended chlorophyll a concentration (R² = 0.63), improving traditional models based on water properties (R² = 0.55). Despite ongoing challenges in applying estimates of benthic chlorophyll biomass, our linear models based on either water properties or landscape features showed comparable correlations with field measurements (R = 0.57 and R = 0.56, respectively). These findings highlight the strong predictive power of landscape features for assessing stream trophic states, offering a scalable approach for regional water quality assessments.
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