Evidence map›Paper›PMID 36249279›Full record

ArticleWater resources research2022

How Have Global River Widths Changed Over Time?

Dongmei Feng, Colin J Gleason, Xiao Yang, George H Allen, Tamlin M Pavelsky

Abstract read
In one paragraph

Article in Water resources research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Human imprints on global riverfronts.Nature communications · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. How Have Global River Widths Changed Over Time?Water resources research · 2022
    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

5 authors.

Dongmei FengDepartment of Chemical and Environmental Engineering University of Cincinnati Cincinnati OH USA.ORCID https://orcid.org/0000-0003-3141-0371
Colin J GleasonDepartment of Civil and Environmental Engineering University of Massachusetts Amherst MA USA.ORCID https://orcid.org/0000-0002-3525-6220
Xiao YangDepartment of Earth, Marine, and Environmental Sciences The University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0002-0046-832X
George H AllenDepartment of Geoscience Virginia Tech Blacksburg VA USA.ORCID https://orcid.org/0000-0001-8301-5301
Tamlin M PavelskyDepartment of Geological Sciences The University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0002-0613-3838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in a river's width reflect natural and anthropogenic impacts on local and upstream/downstream hydraulic and hydrologic processes. Temporal variation of river width also impacts biogeochemical exchange and reflects geomorphologic evolution. However, while global maps of mean river width and dynamic water surface extent exist, there is currently no standardized global assessment of river widths that documents changes over time. Therefore, we made repeated width measurements from Landsat images for all rivers wider than 90 m collected from 1984 to 2020 (named Global LOng-term river Width, GLOW), which consists of ∼1.2 billion cross-sectional river width measurements, with an average of 3,000 width measurements per 10-km reach. With GLOW, we investigated the temporal variations of global river width, quantified by the interquartile range (IQR) and temporal trend. We found that 85% of global rivers have a width IQR <150 m. We also found that 37% of global river segments show significant temporal trends in width over the past 37 years, and this number is higher (46%) for human-regulated rivers. Further, we leveraged machine learning to identify the most important factors explaining river width variations and revealed that these driving factors are significantly different between free-flowing and non-free-flowing rivers. Specifically, the most important factor driving temporal variations in river width is the climate for free-flowing rivers, and is soil condition for human-impacted rivers. Finally, we anticipate that this study and the public release of GLOW will improve the understanding of river dynamics and catalyze additional interdisciplinary studies.

Indexed as

driving factorsglobal river widthtemporal trendtemporal variability

Identifiers

PMID36249279
PMCPMC9541693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.