Evidence map›Paper›PMID 29696013›Full record

ArticleFrontiers in microbiology2018

Functional Resistance to Recurrent Spatially Heterogeneous Disturbances Is Facilitated by Increased Activity of Surviving Bacteria in a Virtual Ecosystem.

Sara König, Anja Worrich, Thomas Banitz, Hauke Harms, Matthias Kästner, Anja Miltner, Lukas Y Wick, Karin Frank, Martin Thullner, Florian Centler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Microbial Community Resilience across Ecosystems and Multiple Disturbances.Microbiology and molecular biology reviews : MMBR · 2021
    Review
  4. 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

10 authors at 2 institutions in 1 country.

Sara KönigDepartment of Ecological Modelling, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Anja WorrichDepartment of Environmental Microbiology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Thomas BanitzDepartment of Ecological Modelling, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Hauke HarmsDepartment of Environmental Microbiology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Matthias KästnerDepartment of Environmental Biotechnology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Anja MiltnerDepartment of Environmental Biotechnology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Lukas Y WickDepartment of Environmental Microbiology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Karin FrankDepartment of Ecological Modelling, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Martin ThullnerDepartment of Environmental Microbiology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Florian CentlerDepartment of Environmental Microbiology, The UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany.
Helmholtz Centre for Environmental Research · DEGerman Centre for Integrative Biodiversity Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial degradation of organic compounds is an important ecosystem function with relevance to, e.g., the cycling of elements or the degradation of organic contaminants. It remains an open question, however, to which extent ecosystems are able to maintain such biodegradation function under recurrent disturbances (functional resistance) and how this is related to the bacterial biomass abundance. In this paper, we use a numerical simulation approach to systematically analyze the dynamic response of a microbial population to recurrent disturbances of different spatial distribution. The spatially explicit model considers microbial degradation, growth, dispersal, and spatial networks that facilitate bacterial dispersal mimicking effects of mycelial networks in nature. We find: (i) There is a certain capacity for high resistance of biodegradation performance to recurrent disturbances. (ii) If this resistance capacity is exceeded, spatial zones of different biodegradation performance develop, ranging from no or reduced to even increased performance. (iii) Bacterial biomass and biodegradation dynamics respond inversely to the spatial fragmentation of disturbances: overall biodegradation performance improves with increasing fragmentation, but bacterial biomass declines. (iv) Bacterial dispersal networks can enhance functional resistance against recurrent disturbances, mainly by reactivating zones in the core of disturbed areas, even though this leads to an overall reduction of bacterial biomass.

Indexed as

bacterial degradationbiomass distributionecological modelingfragmentationmicrobial ecosystem serviceresiliencesimulation modelstability

Identifiers

PMID29696013
PMCPMC5904252
OpenAlexW2802841457

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.