Evidence map›Paper›PMID 36936734›Full record

ArticleJournal of experimental marine biology and ecology2020

TESTING THE CONCEPTUAL AND OPERATIONAL UNDERPINNINGS OF HERBIVORY ASSAYS: DOES VARIATION IN PREDICTABILITY OF RESOURCES, ASSAY DESIGN, AND DEPLOYMENT METHOD AFFECT OUTCOMES?

Caitlin R Fong, Shayna A Sura, Ashlyn T Ford, Hunter B Howard, Nury E Molina, Nefertiti N Smith, Peggy Fong

Open access · greenAbstract read
In one paragraph

Article in Journal of experimental marine biology and ecology, 2020. 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
0.2field-weighted citation impact, top 42% 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, 4 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

7 authors at 5 institutions in 1 country.

Caitlin R FongDepartment of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106.
Shayna A SuraDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095.
Ashlyn T FordSchool of the Environment, Florida Agricultural and Mechanical University, Tallahassee, FL 32307.
Hunter B HowardDepartment of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, MD 21853.
Nury E MolinaDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095.
Nefertiti N SmithDepartment of Marine and Environmental Science, Hampton University, Hampton, VA 23668.
Peggy FongDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095.
University of California, Los Angeles · USFlorida Agricultural and Mechanical University · USHampton University · USUniversity of California, Santa Barbara · USUniversity of Maryland Eastern Shore · US

Funding

UCLA MSD ProgramR25GM055052 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BARBER, PAUL HENRY, HASSON, TAMA W. · 1996 to 2021
$9.2M
NIGMS NIH HHS R25 GM055052
6 · The paper itself

Abstract

Herbivory assays are a valuable tool used by ecologists to understand many of the patterns and processes affecting herbivory, a widely recognized driving force in marine communities. However, methods vary substantially among studies in both design and operation, and the effect of these differences has yet to be evaluated. We assessed the effects of several key components of assay design on estimates of herbivory to offer four recommendations. First, we found assays out-planted on sequential days in both predictable and random locations within a 60m

Indexed as

herbivoryherbivory assaysmacroalgaeout-plant experimentspalatability

Identifiers

PMID36936734
PMCPMC10019850
OpenAlexW3087781262

What OpenQuestion holds

Textmetadata
LicenceTDM
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.