Evidence map›Paper›PMID 35365666›Full record

ArticleScientific data2022

MeadoWatch: a long-term community-science database of wildflower phenology in Mount Rainier National Park.

Rubén D Manzanedo, Aji John, Meera L Sethi, Elli J Theobald, Berry Brosi, Joshua Jenkins, Ava Kloss-Schmidt, Emilia Lia, Annie Schiffer, Jordana Sevigny and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2022. 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
1.5field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

13 authors at 3 institutions in 2 countries.

Rubén D Manzanedo *Plant Ecology, Institute of Integrative Biology, D-USYS, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-6592-7235
Aji John *Biology Department, University of Washington, Seattle, USA.
Meera L SethiBiology Department, University of Washington, Seattle, USA.
Elli J TheobaldBiology Department, University of Washington, Seattle, USA.
Berry BrosiBiology Department, University of Washington, Seattle, USA.
Joshua JenkinsBiology Department, University of Washington, Seattle, USA.
Ava Kloss-SchmidtBiology Department, University of Washington, Seattle, USA.
Emilia LiaBiology Department, University of Washington, Seattle, USA.
Annie SchifferBiology Department, University of Washington, Seattle, USA.ORCID 0000-0003-2036-5819
Jordana SevignyBiology Department, University of Washington, Seattle, USA.
Anna WilsonBiology Department, University of Washington, Seattle, USA.
Yonit YogevNational Park Service, Washington, USA.
Janneke Hille Ris LambersPlant Ecology, Institute of Integrative Biology, D-USYS, ETH Zürich, Zürich, Switzerland. janneke.hillerislambers@usys.ethz.ch.
University of Washington · USETH Zurich · CHNational Park Service · US

Funding

National Aeronautics and Space Administration (NASA) NNX 14AC34G
6 · The paper itself

Abstract

We present a long-term and high-resolution phenological dataset from 17 wildflower species collected in Mt. Rainier National Park, as part of the MeadoWatch (MW) community science project. Since 2013, 457 unique volunteers and scientists have gathered data on the timing of four key reproductive phenophases (budding, flowering, fruiting, and seeding) in 28 plots over two elevational gradients alongside popular park trails. Trained volunteers (87.2%) and University of  Washington scientists (12.8%) collected data 3-9 times/week during the growing season, using a standardized method. Taxonomic assessments were highly consistent between scientists and volunteers, with high accuracy and specificity across phenophases and species. Sensitivity, on the other hand, was lower than accuracy and specificity, suggesting that a few species might be challenging to reliably identify in community-science projects. Up to date, the MW database includes 42,000+ individual phenological observations from 17 species, between 2013 and 2019. However, MW is a living dataset that will be updated through continued contributions by volunteers, and made available for its use by the wider ecological community.

Identifiers

PMID35365666
PMCPMC8976009
OpenAlexW4220932558

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.