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March 22, 2026Science Advances8 citationsOpen Access

Extreme precipitation reshapes nutrient flows and balance in North America’s largest river basin

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ZBZihao BianBoston CollegeSPShufen PanBoston CollegeJSJ. F. SunUniversity of Manchester

Key Points

  • This research evaluates the impact of extreme precipitation on nutrient dynamics within the Mississippi River Basin.
  • Applied an integrated data-model framework
  • Assessed nutrient fluxes of nitrogen (N) and phosphorus (P) from 1980 to 2018
  • Analyzed changes in nutrient composition and stoichiometric balances due to extreme precipitation
  • Extreme precipitation events increase phosphorus export relative to nitrogen
  • Declining N:P ratios observed in headwater streams
  • Enhanced soil erosion contributes to changes in nutrient mobilization

Abstract

Extreme precipitation events, intensified by climate change, are increasingly disrupting nutrient dynamics in large river systems worldwide. Beyond altering the magnitude of individual nutrient fluxes, extreme precipitation may fundamentally reshape nutrient composition and stoichiometric balances, with critical implications for aquatic ecosystem health. Here, we apply an integrated data-model framework to assess how these events have altered nitrogen (N) and phosphorus (P) fluxes across the Mississippi River Basin from 1980 to 2018. We find that extreme rainfall disproportionately increases P export relative to N, driven primarily by enhanced soil erosion and mobilization of particulate-bound nutrients. Concurrent temporal and spatial changes in extreme precipitation regimes have induced declining N:P ratios in headwater streams and cumulative nutrient loads, shifting export stoichiometry toward the Redfield ratio. Therefore, extreme precipitation can increase nutrient fluxes that fuel harmful algal blooms, yet at the same time reduce N:P ratios that may favor less toxic communities. This trade-off calls for watershed management strategies that go beyond managing nutrient quantity alone.

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Cite This Study

Bian et al. (2026) studied this question.

synapsesocial.com/papers/69bf3955c7b3c90b18b43e89https://doi.org/10.1126/sciadv.aea3260
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