Evidence map›Paper›PMID 30937217›Full record

ArticleApplications in plant sciences2019

A new method and insights for estimating phenological events from herbarium specimens.

Katelin D Pearson

Abstract read
In one paragraph

Article in Applications in plant sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Ten best practices for effective phenological research.International journal of biometeorology · 2023
    Review
  3. Article
  4. Article
  5. Phenological trends of multi-taxonomic groups in Latvia, 1970-2018.International journal of biometeorology · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Testing Hopkins' Bioclimatic Law with PhenoCam data.Applications in plant sciences · 2019
    Article
  15. 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

1 author.

Katelin D PearsonDepartment of Biological Science Florida State University 319 Stadium Drive Tallahassee Florida 32306 USA.ORCID https://orcid.org/0000-0003-4947-7662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premise of the studyA novel method of estimating phenology of herbarium specimens was developed to facilitate more precise determination of plant phenological responses to explanatory variables (e.g., climate). METHODS AND

resultsSimulated specimen data sets were used to compare the precision of phenological models using the new method and two common, alternative methods (flower presence/absence and ≥50% flowers present). The new "estimated phenophase" method was more precise and extracted a greater number of significant species-level relationships; however, this method only slightly outperformed the simple "binary" (e.g., flowers present/absent) method.

conclusionsThe new method enables estimation of phenological trends with greater precision. However, when time and resources are limited, a presence/absence method may offer comparable results at lower cost. Using a more restrictive approach, such as only including specimens in a certain phenophase, is not advised given the detrimental effect of decreased sample size on resulting models.

Indexed as

climate changedigitizationherbarium specimensphenology

Identifiers

PMID30937217
PMCPMC6426155

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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.