Evidence map›Paper›PMID 38377341›Full record

ArticleJournal of the American Water Resources Association2024

Spatial and Temporal Variability in Stream Thermal Regime Drivers for Three River Networks During the Summer Growing Season.

Matthew R Fuller, Naomi E Detenbeck, Peter Leinenbach, Rochelle Labiosa, Daniel Isaak

Abstract read
In one paragraph

Article in Journal of the American Water Resources Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Matthew R FullerOak Ridge Institute for Science and Education Postdoc at the Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, Rhode Island, USA [Currently: Northern Research Station, U.S. Forest Service, Amherst, Massachusetts, USA].
Naomi E DetenbeckAtlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Narragansett, Rhode Island, USA.
Peter LeinenbachRegion 10, U.S. Environmental Protection Agency, Seattle, Washington, USA.
Rochelle LabiosaRegion 10, U.S. Environmental Protection Agency, Seattle, Washington, USA.
Daniel IsaakRocky Mountain Research Station, U.S. Forest Service, Boise, Idaho, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Many cold-water dependent aquatic organisms are experiencing habitat and population declines from increasing water temperatures. Identifying mechanisms which drive local and regional stream thermal regimes facilitates restoration at ecologically relevant scales. Stream temperatures vary spatially and temporally both within and among river basins. We developed a modeling process to identify statistical relationships between drivers of stream temperature and covariates representing landscape, climate, and management-related processes. The modeling process was tested in 3 study areas of the Pacific Northwest USA during the growing season (May [start], August [warmest], September [end]). Across all months and study systems, covariates with the highest relative importance represented the physical landscape (elevation [1

Indexed as

covariate relative importanceinformation criterionmodel selectionPacific Northwestrestorationriver networksspatial stream network modeltemperatureUSAwater qualitywater resources management

Identifiers

PMID38377341
PMCPMC10631548

What OpenQuestion holds

Textmetadata
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.