Evidence map›Paper›PMID 30824739›Full record

ArticleScientific reports2019

Strong and recurring seasonality revealed within stream diatom assemblages.

M A Snell, P A Barker, B W J Surridge, C McW H Benskin, N Barber, S M Reaney, W Tych, D Mindham, A R G Large, S Burke and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
1.2field-weighted citation impact, top 26% of its field
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, 34 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 5 institutions in 1 country.

M A SnellLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK. m.snell@lancaster.ac.uk.
P A BarkerLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
B W J SurridgeLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.ORCID 0000-0003-2425-1739
C McW H BenskinLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
N BarberDepartment of Geography, Durham University, Durham, DH1 3LE, UK.
S M ReaneyDepartment of Geography, Durham University, Durham, DH1 3LE, UK.ORCID 0000-0003-3063-2044
W TychLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.ORCID 0000-0003-1655-844X
D MindhamLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.
A R G LargeSchool of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
S BurkeBritish Geological Survey, Environmental Science Centre, Nicker Hill, Keyworth, Nottingham, NG12 5GG, UK.
P M HaygarthLancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK.ORCID 0000-0002-1672-6290
Lancaster University · GBDurham University · GBAgri Food and Biosciences Institute · GBBritish Geological Survey · GBNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving stream water quality in agricultural landscapes is an ecological priority and a legislative duty for many governments. Ecosystem health can be effectively characterised by organisms sensitive to water quality changes such as diatoms, single-celled algae that are a ubiquitous component of stream benthos. Diatoms respond within daily timescales to variables including light, temperature, nutrient availability and flow conditions that result from weather and land use characteristics. However, little consideration has been given to the ecological dynamics of diatoms through repeated seasonal cycles when assessing trajectories of stream function, even in catchments actively managed to reduce human pressures. Here, six years of monthly diatom samples from three independent streams, each receiving differing levels of diffuse agricultural pollution, reveal robust and repeated seasonal variation. Predicted seasonal changes in climate-related variables and anticipated ecological impacts must be fully captured in future ecological and water quality assessments, if the apparent resistance of stream ecosystems to pollution mitigation measures is to be better understood.

Indexed as

EcosystemSeasonsWater MicrobiologyDiatomsRivers

Identifiers

PMID30824739
PMCPMC6397146
OpenAlexW2918184907

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.