Evidence map›Paper›PMID 34950232›Full record

ArticleEvolutionary applications2021

Accounting for variability when resurrecting dormant propagules substantiates their use in eco-evolutionary studies.

Megan L Vahsen, Rachel M Gentile, Jennifer L Summers, Helena S Kleiner, Benjamin Foster, Regina M McCormack, Evan W James, Rachel A Koch, Dailee L Metts, Colin Saunders and 3 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Megan L VahsenDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.ORCID https://orcid.org/0000-0002-8226-6878
Rachel M GentileDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Jennifer L SummersDepartment of Ecology & Evolutionary Biology University of Tennessee Knoxville Tennessee USA.ORCID https://orcid.org/0000-0001-8926-6988
Helena S KleinerDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Benjamin FosterDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Regina M McCormackDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Evan W JamesDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Rachel A KochDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.
Dailee L MettsDepartment of Ecology & Evolutionary Biology University of Tennessee Knoxville Tennessee USA.
Colin SaundersSoutheast Environmental Research Center Florida International University Miami Florida USA.
James Patrick MegonigalSmithsonian Environmental Research Center Edgewater Maryland USA.
Michael J BlumDepartment of Ecology & Evolutionary Biology University of Tennessee Knoxville Tennessee USA.
Jason S McLachlanDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a steady rise in the use of dormant propagules to study biotic responses to environmental change over time. This is particularly important for organisms that strongly mediate ecosystem processes, as changes in their traits over time can provide a unique snapshot into the structure and function of ecosystems from decades to millennia in the past. Understanding sources of bias and variation is a challenge in the field of resurrection ecology, including those that arise because often-used measurements like seed germination success are imperfect indicators of propagule viability. Using a Bayesian statistical framework, we evaluated sources of variability and tested for zero-inflation and overdispersion in data from 13 germination trials of soil-stored seeds of

Indexed as

Bayesian hierarchical modelinggerminationresurrection ecologySchoenoplectus americanusseed viability

Identifiers

PMID34950232
PMCPMC8674891

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.