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Nandita Basu
Departments of Earth and Environmental Sciences and Civil and Environmental Engineering
Nitin Singh
Department of Earth and Environmental Sciences
Introduction
The last decade has seen an increase in the frequency and intensity of algal blooms in the transboundary Laurentian Great Lakes Basin (GLB) impacting fisheries, drinking water supplies and recreational and economic activities. Algal blooms result from eutrophication where excess nutrients from urban and agricultural activities are discharged to downstream waters. The Great Lakes Water Quality Agreement commits Canada and the United States to reduce total phosphorus inputs to targeted GLB subbasins by 40 per cent.
A comprehensive analysis of phosphorus species across the GLB is lacking with previous research largely focused on phosphorus loads to Lake Erie. This study analyzes decadal trends in annual and seasonal concentrations of total phosphorus (TP) and soluble reactive phosphorus (SRP) across the GLB to determine if TP and SRP concentrations vary across the basin, how concentrations have changed over time and what watershed characteristics are associated with changes.
Methodology
The study analyzed water quality data from over 370 watersheds across the GLB. Watersheds had a wide range of sizes and variability in land use, including 239 agricultural, 83 forest/wetland, 27 urban and 50 mixed-use watersheds. To understand the current state, five-year mean concentrations were quantified from 2015 to 2019. To understand trends, annual and seasonal mean concentrations were calculated from 2003 to 2019. SRP:TP daily ratios were used to estimate annual and seasonal mean ratios. Time series data were used to test for the presence of monotonic time trends using the Mann–Kendall trend test.
A combination of linear regression and random forest modelling was used to explore how various landscape and climate factors impacted SRP and TP trends. Random Forest (RF) modeling is a non-parametric, machine learning-based multivariate regression approach that uses a decision tree framework to simulate dependent variables.
Outcomes
Temporal analysis identified a dominant pattern of increasing SRP and decreasing TP concentrations. Seasonal analysis showed significantly increasing SRP trends in winter, spring, summer and fall, while TP did not show a significant trend across seasons. The median increase in SRP concentrations was 70 per cent per decade with similar patterns at the seasonal scale.
The relationship between SRP and TP trends was used to identify and map four response typologies: increasing SRP and TP, increasing SRP and decreasing TP, decreasing SRP and TP and decreasing SRP and increasing TP. Increasing SRP and TP watersheds were found across land-use types, including in urban, agricultural and forested/wetland watersheds, while increasing SRP and decreasing TP watersheds were found in urban and agricultural watersheds. A greater proportion of watersheds with increasing SRP and decreasing TP were located in the more northern basins. These results demonstrated increasing SRP trends across the basin regardless of land use (Figure 2). In addition, 67 per cent of the watersheds demonstrated a significant increase in the annual and seasonal SRP:TP ratio with watersheds at higher latitudes showing a greater increase (Figure 3).
Correlation analysis and RF modelling found the highest relative SRP concentrations at high latitude watersheds attributable to both climate and land-use drivers. The positive relationship between SRP and latitude persisted with the seasonal RF models, with the strongest relationship during winter. There was also a significant correlation between the temporal trends in maximum temperatures and SRP concentrations, with the strongest relationships in winter and spring likely due to the greater frequency of freeze–thaw events (Figure 4).
Conclusions
Analysis of trends in SRP and TP concentrations from 2003 to 2019 across more than 350 watersheds in the Great Lakes Basin revealed widespread increases in SRP concentrations (46 per cent of watersheds) and SRP:TP ratios (67 per cent of watersheds). TP concentrations, in contrast, increased in only 5 per cent, and decreased in 18 per cent, of watersheds. A clear latitudinal gradient emerged, with greater increases in SRP and SRP:TP ratios observed in northern watersheds characterized by steeper terrain and greater forest cover. These increases may be attributable to a complex interplay of land use, soil type and climate factors, including agricultural practices that mobilize sorbed phosphorus, increased mobilization of stored phosphorus as forests recover from acidification and warming winter temperatures that activate subsurface pathways and increase the mobilization of sorbed phosphorus.
While previous studies have reported increasing SRP concentrations in specific agricultural watersheds, this study provides evidence of a widespread increase in concentrations across diverse land uses. With warming temperatures, increasing precipitation and rising stream flows, a pervasive increase in SRP concentrations implies a corresponding rise in SRP loads which may be contributing to a higher frequency and intensity of algal blooms in the GLB. Greater increases in SRP concentrations in forested areas may also contribute to the occurrence of algal blooms in traditionally oligotrophic, pristine lakes, posing threats to drinking water sources and economies reliant on tourism. Furthermore, although percentage increases may not be as pronounced in Lake Erie’s agricultural watersheds, the already elevated SRP concentrations and SRP:TP ratios in these areas mean that even a slight relative increase can have severe implications for stream and lake water quality.
Read more in Nature Geoscience
Singh, N.K., Van Meter, K.J. & Basu, N.B. Widespread increases in soluble phosphorus concentrations in streams across the transboundary Great Lakes Basin. Nature Geoscience. September 2023 https://doi.org/10.1038/s41561-023-01257-5
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Listing Photo: Harmful Algal Bloom in Western Basin of Lake Erie by Aerial Associates Photography, Inc. Zachary Haslick via NOAA Great Lakes Environmental Research Laboratory.