Evidence map›Paper›PMID 31848649›Full record

ArticleMicrobial ecology2020

Environmental Controls on Microbial Diversity in Arctic Lakes of West Greenland.

Dana J Somers, Kristin E Strock, Jasmine E Saros

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Dana J SomersBiology Department, Dickinson College, Carlisle, PA, USA. somersd@dickinson.edu.ORCID https://orcid.org/0000-0003-1814-2050
Kristin E StrockEnvironmental Science Department, Dickinson College, Carlisle, PA, USA. strockk@dickinson.edu.ORCID https://orcid.org/0000-0003-3758-9368
Jasmine E SarosClimate Change Institute, School of Biology and Ecology, University of Maine, Orono, ME, USA.
Dickinson College · USUniversity of Maine · US

Funding

Arctic System Science program of the US National Science Foundation 1203434Center for Sustainability Education at Dickinson College SFR161
6 · The paper itself

Abstract

We assessed the microbial community structure of six arctic lakes in West Greenland and investigated relationships to lake physical and chemical characteristics. Lakes from the ice sheet region exhibited the highest species richness, while inland and plateau lakes had lower observed taxonomical diversity. Lake habitat differentiation during summer stratification appeared to alter within lake microbial community composition in only a subset of lakes, while lake variability across regions was a consistent driver of microbial community composition in these arctic lakes. Principal coordinate analysis revealed differentiation of communities along two axes: each reflecting differences in morphometric (lake surface area), geographic (latitude and distance from the ice sheet), physical lake variables (water clarity), and lakewater chemistry (dissolved organic carbon [DOC], dissolved oxygen [DO], total nitrogen [TN], and conductivity). Understanding these relationships between environmental variables and microbial communities is especially important as heterotrophic microorganisms are key to organic matter decomposition, nutrient cycling, and carbon flow through nutrient poor aquatic environments in the Arctic.

Indexed as

Bacterial Physiological PhenomenaEcosystemMicrobiotaArctic RegionsGreenlandLakesArctic lakesBacterial communitiesGreenlandLake microbiomeLimnology

Identifiers

PMID31848649
OpenAlexW2995705087

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.