Evidence map›Paper›PMID 27551393›Full record

ArticleEcology and evolution2016

Hierarchical neighbor effects on mycorrhizal community structure and function.

Holly V Moeller, Ian A Dickie, Duane A Peltzer, Tadashi Fukami

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. 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

4 authors.

Holly V MoellerDepartment of Biology Stanford University Stanford California 94305; Ecology Evolution & Marine Biology University of California Santa Barbara California 93106; Present address: Woods Hole Oceanographic Institution 266 Woods Hole Road, Mail Stop 52 Woods Hole Massachusetts 02543.ORCID 0000-0002-9335-0039
Ian A DickieBio-Protection Research Centre Lincoln University Lincoln 7640 New Zealand.
Duane A PeltzerLandcare Research Lincoln 7640 New Zealand.
Tadashi FukamiDepartment of Biology Stanford University Stanford California 94305.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theory predicts that neighboring communities can shape one another's composition and function, for example, through the exchange of member species. However, empirical tests of the directionality and strength of these effects are rare. We determined the effects of neighboring communities on one another through experimental manipulation of a plant-fungal model system. We first established distinct ectomycorrhizal fungal communities on Douglas-fir seedlings that were initially grown in three soil environments. We then transplanted seedlings and mycorrhizal communities in a fully factorial experiment designed to quantify the direction and strength of neighbor effects by focusing on changes in fungal community species composition and implications for seedling growth (a proxy for community function). We found that neighbor effects on the composition and function of adjacent communities follow a dominance hierarchy. Specifically, mycorrhizal communities established from soils collected in Douglas-fir plantations were both the least sensitive to neighbor effects, and exerted the strongest influence on their neighbors by driving convergence in neighbor community composition and increasing neighbor seedling vigor. These results demonstrate that asymmetric neighbor effects mediated by ecological history can determine both community composition and function.

Indexed as

Community assemblycommunity coalescencecommunity dynamicscompositional variationecosystem functionectomycorrhizal fungiplant–fungal interactions

Identifiers

PMID27551393
PMCPMC4984514

What OpenQuestion holds

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LicenceCC BY
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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.