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Long-term trends and drivers of water color in Missouri reservoirs

Long-term trends and drivers of water color in Missouri reservoirs

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Authors

Lorena Pinheiro Silva , Greg Silsbe, David C. Richardson, Rebecca Lee North

Abstract

Contrasting water quality trends are occurring within and across North America, with waterbodies experiencing increasing phytoplankton blooms, increasing dissolved organic matter, or both. Simultaneously, other waterbodies are becoming clearer and bluer; dramatically changing water color. To assess the spatial and temporal variability in water color, we quantified trends in satellite-derived dominant wavelength (λd) from 1984 to 2020 from the LimnoSat-US for 478 reservoirs in Missouri, USA. We also analyzed trends in summer water quality (WQ) parameters from two long-term monitoring programs to compare with observed water color changes. We demonstrate that λd is a robust indicator of water quality, including nutrients (total nitrogen and total phosphorus) that are not typically associated with satellite-derived data. Currently, the vast majority of Missouri reservoirs (94%) are classified as green and within a range (538−555 nm) that lies closer to the brown, rather than blue, color endmember. Nearly one-third of reservoirs (n = 155) experienced significant temporal shifts in water color, with more (n = 92) negative (e.g., bluer) than positive (n = 63) λd trends; although shifts were largely confined to the green region of the visible spectrum. This result agrees with observed WQ trends within individual reservoirs that show indices of eutrophication and nutrient reductions. Linear mixed-effect models indicate that periods of extreme wetness and drought are associated with browner and bluer waters, respectively, and boosted regression trees further reveal that waterbody and watershed characteristics are important predictors for water color trends. Our results help explain some of the previously observed heterogeneous controls on water color and emphasize the importance of integrating water quality data alongside commonly used landscape and morphological features. This is important not only to better understand regional trends in water color, but also to link these trends to changes in watershed characteristics and their impact on waterbody-specific processes.

DOI

https://doi.org/10.31223/X5H159

Subjects

Life Sciences, Terrestrial and Aquatic Ecology

Keywords

Midwest reservoirs, Dominant wavelength, water quality, satellite remote sensing

Dates

Published: 2025-08-11 22:18

Last Updated: 2025-08-11 22:18

License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability (Reason not available):
The reservoir metadata (IDs and waterbody names) is provided in the Supplementary Material. The in situ water quality data that support the findings of this study are openly available in the Environmental Data Initiative under the following package identifiers: edi.520.2 (19842018) and edi.1829 (20192020). The water quality profile data are available at https://github.com/richardson-david/MULimnology_reservoirProfileQAQC