Evidence map›Paper›PMID 24550501›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Stochasticity, succession, and environmental perturbations in a fluidic ecosystem.

Jizhong Zhou, Ye Deng, Ping Zhang, Kai Xue, Yuting Liang, Joy D Van Nostrand, Yunfeng Yang, Zhili He, Liyou Wu, David A Stahl and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
263citing papers in PubMed, 1 pooled it
25.0field-weighted citation impact, top 1% 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

263 citing papers in PubMed, 1 synthesis or guideline pooled it, 888 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Rainfall Shapes the Diversity of Soil Nitrogen-Fixing Microorganisms Worldwide.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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203 more citing papers are in PubMed but not listed here.

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

13 authors at 7 institutions in 2 countries.

Jizhong ZhouState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
Ye Deng
Ping Zhang
Kai Xue
Yuting Liang
Joy D Van Nostrand
Yunfeng Yang
Zhili He
Liyou Wu
David A Stahl
Terry C Hazen
James M Tiedje
Adam P Arkin
University of Oklahoma · USChinese Academy of Sciences · CNLawrence Berkeley National Laboratory · USMichigan State University · USOak Ridge National Laboratory · USTsinghua University · CNUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unraveling the drivers of community structure and succession in response to environmental change is a central goal in ecology. Although the mechanisms shaping community structure have been intensively examined, those controlling ecological succession remain elusive. To understand the relative importance of stochastic and deterministic processes in mediating microbial community succession, a unique framework composed of four different cases was developed for fluidic and nonfluidic ecosystems. The framework was then tested for one fluidic ecosystem: a groundwater system perturbed by adding emulsified vegetable oil (EVO) for uranium immobilization. Our results revealed that groundwater microbial community diverged substantially away from the initial community after EVO amendment and eventually converged to a new community state, which was closely clustered with its initial state. However, their composition and structure were significantly different from each other. Null model analysis indicated that both deterministic and stochastic processes played important roles in controlling the assembly and succession of the groundwater microbial community, but their relative importance was time dependent. Additionally, consistent with the proposed conceptual framework but contradictory to conventional wisdom, the community succession responding to EVO amendment was primarily controlled by stochastic rather than deterministic processes. During the middle phase of the succession, the roles of stochastic processes in controlling community composition increased substantially, ranging from 81.3% to 92.0%. Finally, there are limited successional studies available to support different cases in the conceptual framework, but further well-replicated explicit time-series experiments are needed to understand the relative importance of deterministic and stochastic processes in controlling community succession.

Indexed as

EcosystemWater MicrobiologyGroundwaterMicrobiotaModels, BiologicalPlant OilsPopulation DynamicsSpecies SpecificityStochastic ProcessesTime FactorsPlant Oilscommunity assemblydisturbancesGeoChipmetagenomicsremediation

Identifiers

PMID24550501
PMCPMC3948316
OpenAlexW2059182707

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.