Evidence map›Paper›PMID 35902586›Full record

ArticleScientific data2022

Mapping hydrologic alteration and ecological consequences in stream reaches of the conterminous United States.

Ryan A McManamay, Rob George, Ryan R Morrison, Benjamin L Ruddell

Abstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Geologic history explains freshwater fish species richness across the conterminous USA.Global ecology and biogeography : a journal of macroecology · 2025
    Article
  3. 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

4 authors.

Ryan A McManamayDepartment of Environmental Science, Baylor University, Waco, TX, 76798, USA. Ryan_McManamay@baylor.edu.ORCID 0000-0002-5551-3140
Rob GeorgeSchool of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA.
Ryan R MorrisonDepartment of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, 80523, USA.ORCID 0000-0002-8612-1684
Benjamin L RuddellSchool of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental flows are critical for balancing societal water needs with that of riverine ecosystems; however, data limitations often hinder the development of predictive relationships between anthropogenic modifications to streamflow regimes and ecological responses - these relationships are the basis for setting regional water policy standards for rivers. Herein, we present and describe a comprehensive dataset of modeled hydrologic alteration and consequences for native fish biodiversity, both mapped at the stream-reach resolution for the conterminous U.S. Using empirical observations of reference conditions and anthropogenically altered streamflow at over 7000 stream gauges, we developed a predictive model of hydrologic alteration, which was extended to >2.6 million stream reaches. We then used a previous nationwide assessment of ecological responses to hydrologic alteration to predict fish biodiversity loss in stream reaches resulting from streamflow modification. Validation efforts suggested hydrologic alteration models had satisfactory performance, whereas modeled ecological responses were susceptible to compounded errors. The dataset could ameliorate regional data deficits for setting environmental flow standards while providing tools for prioritizing streamflow protection or restoration.

Identifiers

PMID35902586
PMCPMC9334386

What OpenQuestion holds

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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.