Evidence map›Paper›PMID 30532078›Full record

ArticleScientific data2018

The metabolic regimes of 356 rivers in the United States.

Alison P Appling, Jordan S Read, Luke A Winslow, Maite Arroita, Emily S Bernhardt, Natalie A Griffiths, Robert O Hall, Judson W Harvey, James B Heffernan, Emily H Stanley and 2 more

Abstract read
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Macroscale controls determine the recovery of river ecosystem productivity following flood disturbances.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Light and flow regimes regulate the metabolism of rivers.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Monthly river temperature trends across the US confound annual changes.Environmental research letters : ERL [Web site] · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

12 authors.

Alison P ApplingU.S. Geological Survey, University Park, PA 16802, USA.ORCID 0000-0003-3638-8572
Jordan S ReadU.S. Geological Survey, Middleton, WI 53562, USA.ORCID 0000-0002-3888-6631
Luke A WinslowDepartment of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180 USA.
Maite ArroitaFlathead Lake Biological Station, University of Montana, Polson, MT 59860 USA.
Emily S BernhardtDepartment of Biology, Duke University, Durham, NC 27708, USA.
Natalie A GriffithsClimate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Robert O HallFlathead Lake Biological Station, University of Montana, Polson, MT 59860 USA.
Judson W HarveyU.S. Geological Survey, Reston, VA 20192, USA.
James B HeffernanNicholas School of the Environment, Duke University, Durham, NC 27708, USA.
Emily H StanleyCenter for Limnology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0003-4922-8121
Edward G StetsU.S. Geological Survey, Boulder, CO 80309, USA.
Charles B YackulicU.S. Geological Survey, Flagstaff, AZ 86001, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A national-scale quantification of metabolic energy flow in streams and rivers can improve understanding of the temporal dynamics of in-stream activity, links between energy cycling and ecosystem services, and the effects of human activities on aquatic metabolism. The two dominant terms in aquatic metabolism, gross primary production (GPP) and aerobic respiration (ER), have recently become practical to estimate for many sites due to improved modeling approaches and the availability of requisite model inputs in public datasets. We assembled inputs from the U.S. Geological Survey and National Aeronautics and Space Administration for October 2007 to January 2017. We then ran models to estimate daily GPP, ER, and the gas exchange rate coefficient for 356 streams and rivers across the continental United States. We also gathered potential explanatory variables and spatial information for cross-referencing this dataset with other datasets of watershed characteristics. This dataset offers a first national assessment of many-day time series of metabolic rates for up to 9 years per site, with a total of 490,907 site-days of estimates.

Identifiers

PMID30532078
PMCPMC6289110

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LicenceCC BY
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Registered trials

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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.