Evidence map›Paper›PMID 29899073›Full record

ArticleProceedings. Biological sciences2018

Structural stability as a consistent predictor of phenological events.

Chuliang Song, Serguei Saavedra

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Rapid monitoring of ecological persistence.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Towards a system-level causative knowledge of pollinator communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  7. Article
  8. Article
  9. 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

2 authors.

Chuliang SongDepartment of Civil and Environmental Engineering, MIT, 77 Massachusetts Avenue, 02139 Cambridge, MA, USA.ORCID 0000-0001-7490-8626
Serguei SaavedraDepartment of Civil and Environmental Engineering, MIT, 77 Massachusetts Avenue, 02139 Cambridge, MA, USA sersaa@mit.edu.ORCID 0000-0003-1768-363X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The timing of the first and last seasonal appearance of a species in a community typically follows a pattern that is governed by temporal factors. While it has been shown that changes in the environment are linked to phenological changes, the direction of this link appears elusive and context-dependent. Thus, finding consistent predictors of phenological events is of central importance for a better assessment of expected changes in the temporal dynamics of ecological communities. Here we introduce a measure of structural stability derived from species interaction networks as an estimator of the expected range of environmental conditions compatible with the existence of a community. We test this measure as a predictor of changes in species richness recorded on a daily basis in a high-arctic plant-pollinator community during two spring seasons. We find that our measure of structural stability is the only consistent predictor of changes in species richness among different ecological and environmental variables. Our findings suggest that measures based on the notion of structural stability can synthesize the expected variation of environmental conditions tolerated by a community, and explain more consistently the phenological changes observed in ecological communities.

Indexed as

BiotaModels, BiologicalPlant Physiological PhenomenaPollinationAnimalsArctic RegionsGreenlandInsectaSeasonscommunity turnoverenvironmental changesphenologypollination networksstructural stability

Identifiers

PMID29899073
PMCPMC6015855

What OpenQuestion holds

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Registered trials

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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.