Evidence map›Paper›PMID 35342643›Full record

ArticleWater2021

Beyond Streamflow: Call for a National Data Repository of Streamflow Presence for Streams and Rivers in the United States.

Kristin L Jaeger, Konrad C Hafen, Jason B Dunham, Ken M Fritz, Stephanie K Kampf, Theodore B Barnhart, Kendra E Kaiser, Roy Sando, Sherri L Johnson, Ryan R McShane and 1 more

Abstract read
In one paragraph

Article in Water, 2021. 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. Article
  2. Article
  3. Article
  4. Article
  5. Detecting Streamflow in Dryland Rivers Using CubeSats.Geophysical research letters · 2022
    Article
  6. 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

11 authors.

Kristin L JaegerU.S. Geological Survey, Washington Water Science Center, Tacoma, WA 98402, USA.
Konrad C HafenU.S. Geological Survey, Idaho Water Science Center, Boise, ID 83702, USA.ORCID 0000-0002-1451-362X
Jason B DunhamU.S Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, OR 97331, USA.ORCID 0000-0002-6268-0633
Ken M FritzOffice of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH 45268, USA.ORCID 0000-0002-3831-2531
Stephanie K KampfDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80526, USA.ORCID 0000-0001-8991-2679
Theodore B BarnhartU.S. Geological Survey, Wyoming-Montana Water Science Center, Helena, MT 59601, USA.ORCID 0000-0002-9682-3217
Kendra E KaiserDepartment of Geosciences, Boise State University, Boise, ID 83725, USA.
Roy SandoU.S. Geological Survey, Wyoming-Montana Water Science Center, Helena, MT 59601, USA.ORCID 0000-0003-0704-6258
Sherri L JohnsonU.S. Forest Service, Pacific Northwest Research Station, Corvallis, OR 97331, USA.ORCID 0000-0002-4223-3465
Ryan R McShaneU.S. Geological Survey, Wyoming-Montana Water Science Center, Helena, MT 59601, USA.ORCID 0000-0002-3128-0039
Sarah B DunnU.S. Geological Survey, Washington Water Science Center, Tacoma, WA 98402, USA.ORCID 0000-0003-4463-0074

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Observations of the presence or absence of surface water in streams are useful for characterizing streamflow permanence, which includes the frequency, duration, and spatial extent of surface flow in streams and rivers. Such data are particularly valuable for headwater streams, which comprise the vast majority of channel length in stream networks, are often non-perennial, and are frequently the most data deficient. Datasets of surface water presence exist across multiple data collection groups in the United States but are not well aligned for easy integration. Given the value of these data, a unified approach for organizing information on surface water presence and absence collected by diverse surveys would facilitate more effective and broad application of these data and address the gap in streamflow data in headwaters. In this paper, we highlight the numerous existing datasets on surface water presence in headwater streams, including recently developed crowdsourcing approaches. We identify the challenges of integrating multiple surface water presence/absence datasets that include differences in the definitions and categories of streamflow status, data collection method, spatial and temporal resolution, and accuracy of geographic location. Finally, we provide a list of critical and useful components that could be used to integrate different streamflow permanence datasets.

Indexed as

crowdsourcingdatabaseephemeralheadwatersintermittentnon-perennialperennialsurface flow

Identifiers

PMID35342643
PMCPMC8943845

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.