Evidence map›Paper›PMID 34843503›Full record

ArticlePloS one2021

Limited progress in nutrient pollution in the U.S. caused by spatially persistent nutrient sources.

Rebecca J Frei, Gabriella M Lawson, Adam J Norris, Gabriel Cano, Maria Camila Vargas, Elizabeth Kujanpää, Austin Hopkins, Brian Brown, Robert Sabo, Janice Brahney and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Rebecca J FreiDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.ORCID 0000-0002-4272-0474
Gabriella M LawsonDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.ORCID 0000-0001-6018-2692
Adam J NorrisDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Gabriel CanoDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Maria Camila VargasDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Elizabeth KujanpääDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Austin HopkinsDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Brian BrownDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Robert SaboUnited States Environmental Protection Agency, Washington, D. C., United States of America.ORCID 0000-0001-8713-7699
Janice BrahneyDepartment of Watershed Sciences and Ecology Center, Utah State University, Logan, Utah, United States of America.ORCID 0000-0001-7614-2855
Benjamin W AbbottDepartment of Plant and Wildlife Sciences, Brigham Young University, Provo, Utah, United States of America.
Brigham Young University · USEnvironmental Protection Agency · USUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human agriculture, wastewater, and use of fossil fuels have saturated ecosystems with nitrogen and phosphorus, threatening biodiversity and human water security at a global scale. Despite efforts to reduce nutrient pollution, carbon and nutrient concentrations have increased or remained high in many regions. Here, we applied a new ecohydrological framework to ~12,000 water samples collected by the U.S. Environmental Protection Agency from streams and lakes across the contiguous U.S. to identify spatial and temporal patterns in nutrient concentrations and leverage (an indicator of flux). For the contiguous U.S. and within ecoregions, we quantified trends for sites sampled repeatedly from 2000 to 2019, the persistence of spatial patterns over that period, and the patch size of nutrient sources and sinks. While we observed various temporal trends across ecoregions, the spatial patterns of nutrient and carbon concentrations in streams were persistent across and within ecoregions, potentially because of historical nutrient legacies, consistent nutrient sources, and inherent differences in nutrient removal capacity for various ecosystems. Watersheds showed strong critical source area dynamics in that 2-8% of the land area accounted for 75% of the estimated flux. Variability in nutrient contribution was greatest in catchments smaller than 250 km2 for most parameters. An ensemble of four machine learning models confirmed previously observed relationships between nutrient concentrations and a combination of land use and land cover, demonstrating how human activity and inherent nutrient removal capacity interactively determine nutrient balance. These findings suggest that targeted nutrient interventions in a small portion of the landscape could substantially improve water quality at continental scales. We recommend a dual approach of first prioritizing the reduction of nutrient inputs in catchments that exert disproportionate influence on downstream water chemistry, and second, enhancing nutrient removal capacity by restoring hydrological connectivity both laterally and vertically in stream networks.

Indexed as

ClimateEcosystemGeographyLakesMachine LearningNitrogenPhosphorusRiversUnited StatesWater PollutionNitrogenPhosphorus

Identifiers

PMID34843503
PMCPMC8629290
OpenAlexW3217296107

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.