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Daily machine learning models reveal climate-driven nitrogen risks in U.S. watersheds

https://doi.org/10.2139/ssrn.7365657
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10533-022-00922-yopenalex-snapshot
Plant community effects on soil moisture and nitrogen cycling in a semi-arid ecosystem
inferredcites →https://doi.org/10.1007/s11104-007-9477-0openalex-snapshot
Increased soil moisture content increases plant N uptake and the abundance of 15N in plant biomass
inferredcites →https://doi.org/10.1016/j.ecolind.2022.109087openalex-snapshot
Effects of soil moisture on organic and inorganic nitrogen uptake by dominant plant species in Zoigê alpine wetlands
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The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century
inferredcites →https://doi.org/10.1016/j.jenvman.2017.11.051openalex-snapshot
Beyond the nutrient strategies: Common ground to accelerate agricultural water quality improvement in the upper Midwest
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.12.053openalex-snapshot
Effects of soil moisture content on upland nitrogen loss
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.148382openalex-snapshot
Nitrogen/phosphorus behavior traits and implications during storm events in a semi-arid mountainous watershed
inferredcites →https://doi.org/10.1016/j.soilbio.2017.06.007openalex-snapshot
The effect of nitrification inhibitor on N2O, NO and N2 emissions under different soil moisture levels in a permanent grassland soil
inferredcites →https://doi.org/10.1016/j.watres.2022.119295openalex-snapshot
Nitrate concentrations predominantly driven by human, climate, and soil properties in US rivers
inferredcites →https://doi.org/10.1016/j.watres.2023.120876openalex-snapshot
A random forest approach to improve estimates of tributary nutrient loading
inferredcites →https://doi.org/10.1016/s0960-8524(99)90068-8openalex-snapshot
Effects of oxygen concentration and moisture content of refuse on nitrification, denitrification and nitrous oxide production
inferredcites →https://doi.org/10.1021/acs.est.0c03495openalex-snapshot
Less Agricultural Phosphorus Applied in 2019 Led to Less Dissolved Phosphorus Transported to Lake Erie
inferredcites →https://doi.org/10.1021/acs.est.0c07102openalex-snapshot
Context is Everything: Interacting Inputs and Landscape Characteristics Control Stream Nitrogen
inferredcites →https://doi.org/10.1021/acs.est.2c02232openalex-snapshot
Predicting Dynamic Riverine Nitrogen Export in Unmonitored Watersheds: Leveraging Insights of AI from Data-Rich Regions
inferredcites →https://doi.org/10.1021/acs.est.3c07764openalex-snapshot
One-Week-Ahead Prediction of Cyanobacterial Harmful Algal Blooms in Iowa Lakes
inferredcites →https://doi.org/10.1021/acs.est.4c04574openalex-snapshot
Reevaluating the Drivers of Fertilizer-Induced N2O Emission: Insights from Interpretable Machine Learning
inferredcites →https://doi.org/10.1021/acs.est.4c04794openalex-snapshot
Warming Promotes Nitrogen and Carbon Cycles in Global Grassland
inferredcites →https://doi.org/10.1021/acs.est.4c12168openalex-snapshot
Data-Centric Approach for Modeling the Adsorption of Small Gas Molecules on Granular Activated Carbons
inferredcites →https://doi.org/10.1021/acs.est.6b04455openalex-snapshot
Precipitation Dominates Interannual Variability of Riverine Nitrogen Loading across the Continental United States
inferredcites →https://doi.org/10.1021/acs.est.8b05152openalex-snapshot
Stream Nitrogen and Phosphorus Loads Are Differentially Affected by Storm Events and the Difference May Be Exacerbated by Conservation Tillage
inferredcites →https://doi.org/10.1021/acs.est.8b06898openalex-snapshot
Long-Term Changes in Precipitation and Temperature Have Already Impacted Nitrogen Loading
inferredcites →https://doi.org/10.1021/acsenvironau.4c00060openalex-snapshot
Effective Nutrient Management of Surface Waters in the United States Requires Expanded Water Quality Monitoring in Agriculturally Intensive Areas
inferredcites →https://doi.org/10.1021/es4028748openalex-snapshot
Surface Water Quality Is Improving due to Declining Atmospheric N Deposition
inferredcites →https://doi.org/10.1021/es801217qopenalex-snapshot
Eutrophication of U.S. Freshwaters: Analysis of Potential Economic Damages
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1029/2019ms001916openalex-snapshot
The Community Earth System Model Version 2 (CESM2)
inferredcites →https://doi.org/10.1029/2020gb006626openalex-snapshot
Long‐Term Shifts in U.S. Nitrogen Sources and Sinks Revealed by the New TREND‐Nitrogen Data Set (1930–2017)
inferredcites →https://doi.org/10.1029/2023wr036591openalex-snapshot
Stream Nitrate Dynamics Driven Primarily by Discharge and Watershed Physical and Soil Characteristics at Intensively Monitored Sites: Insights From Deep Learning
inferredcites →https://doi.org/10.1029/2024wr039207openalex-snapshot
Deep Learning Prediction and Interpretation of Riverine Nitrate Export Across the Mississippi River Basin
inferredcites →https://doi.org/10.1038/nature15743openalex-snapshot
Managing nitrogen for sustainable development
inferredcites →https://doi.org/10.1038/nclimate2941openalex-snapshot
More extreme precipitation in the world’s dry and wet regions
inferredcites →https://doi.org/10.1038/s41558-023-01923-xopenalex-snapshot
River water quality shaped by land–river connectivity in a changing climate
inferredcites →https://doi.org/10.1038/s41893-020-0577-7openalex-snapshot
Gaps and opportunities in nitrogen pollution policies around the world
inferredcites →https://doi.org/10.1038/s43016-022-00481-3openalex-snapshot
Data-driven projections suggest large opportunities to improve Europe’s soybean self-sufficiency under climate change
inferredcites →https://doi.org/10.1038/s44221-023-00030-7openalex-snapshot
Future global streamflow declines are probably more severe than previously estimated
inferredcites →https://doi.org/10.1038/s44221-024-00202-zopenalex-snapshot
Deep learning for water quality
inferredcites →https://doi.org/10.1073/pnas.1216006110openalex-snapshot
Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions
inferredcites →https://doi.org/10.1073/pnas.2220616120openalex-snapshot
Warming may offset impact of precipitation changes on riverine nitrogen loading
inferredcites →https://doi.org/10.1088/1748-9326/acea34openalex-snapshot
Data-driven approaches demonstrate legacy N accumulation in Upper Mississippi River Basin groundwater
inferredcites →https://doi.org/10.1111/1752-1688.13017openalex-snapshot
Predicting Near‐Term Effects of Climate Change on Nitrogen Transport to Chesapeake Bay
inferredcites →https://doi.org/10.1111/j.1752-1688.2010.00482.xopenalex-snapshot
Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs 1
inferredcites →https://doi.org/10.1111/j.1752-1688.2011.00577.xopenalex-snapshot
Factors Affecting Stream Nutrient Loads: A Synthesis of Regional SPARROW Model Results for the Continental United States1
inferredcites →https://doi.org/10.1126/sciadv.ado3712openalex-snapshot
Global record-breaking recurrence rates indicate more widespread and intense surface air temperature and precipitation extremes
inferredcites →https://doi.org/10.1126/science.1136674openalex-snapshot
Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions
inferredcites →https://doi.org/10.1126/science.aan2409openalex-snapshot
Eutrophication will increase during the 21st century as a result of precipitation changes
inferredcites →https://doi.org/10.1126/science.aar4462openalex-snapshot
Legacy nitrogen may prevent achievement of water quality goals in the Gulf of Mexico
inferredcites →https://doi.org/10.4236/aim.2013.36a003openalex-snapshot
Nitrogen Constrains the Growth of Late Summer Cyanobacterial Blooms in Lake Erie
inferredcites →https://doi.org/10.5194/acp-12-4539-2012openalex-snapshot
Nitrogen deposition to the United States: distribution, sources, and processes
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