Evidence map›Paper›PMID 32016867›Full record

ArticleEnvironmental science and pollution research international2020

Influence of water temperature and water depth on macrophyte-bacterioplankton interaction in a groundwater-fed river.

Yanran Dai, Thomas Hein, Stefan Preiner, Rosanne E Reitsema, Jonas Schoelynck

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yanran DaiInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China. yanrandai@hotmail.com.
Thomas HeinWasserCluster Lunz (WCL), Inter-university Research Institute, Lunz am See, Austria.
Stefan PreinerWasserCluster Lunz (WCL), Inter-university Research Institute, Lunz am See, Austria.
Rosanne E ReitsemaDepartment of Biology, Ecosystem Management Research Group, University of Antwerp, 9 Universiteitsplein 1C, B-2610, Wilrijk, Belgium.
Jonas SchoelynckDepartment of Biology, Ecosystem Management Research Group, University of Antwerp, 9 Universiteitsplein 1C, B-2610, Wilrijk, Belgium.

Funding

Austrian Science Fund I3216-N29National Natural Science Foundation of China 51609238Research Foundation-Flanders (FWO) G0F3217N
6 · The paper itself

Abstract

Biotic interactions shape the community structure and function of ecosystems and thus play an important role in ecosystem management and restoration. To investigate how water temperature (related to the season) and water depth (related to spatial patterns of river morphology) affect macrophyte-bacterioplankton interactions in a groundwater-fed river, we conducted the structural equation modeling on datasets grouped by hydrological conditions. In addition to direct effects on macrophyte growth and/or bacterioplankton development, water temperature and water depth could both regulate the role of different nutrients (inorganic and organic) on affecting these biological indicators. Deeper water depth intensified the positive relationship between macrophytes and bacterioplankton, while higher temperature switched the relationship from being positive to negative. Our study provides empirical evidences that abiotic variables, even with relatively low fluctuations, play a critical role in regulating the patterns and strengths of interaction between macrophytes and bacterioplankton.

Indexed as

GroundwaterRiversEcosystemTemperatureWaterWaterDissolved organic matterMicrobeNon-trophic interactionNutrientSubmerged macrophytes

Identifiers

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.