Evidence map›Paper›PMID 31185024›Full record

ArticlePloS one2019

Short-term effects of hurricanes Maria and Irma on forest birds of Puerto Rico.

John D Lloyd, Christopher C Rimmer, José A Salguero-Faría

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 31 citations in OpenAlex.

  1. How wildlife respond to tropical cyclones: short-term tactics and long-term impacts.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Climatic and local stressor interactions threaten tropical forests and coral reefs.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
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

3 authors.

John D LloydVermont Center for Ecostudies, Norwich, VT, United States of America.ORCID 0000-0002-9143-3789
Christopher C RimmerVermont Center for Ecostudies, Norwich, VT, United States of America.
José A Salguero-FaríaQuintas de Cupey Gardens, San Juan, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared occupancy in local assemblages of birds in forested areas across Puerto Rico during a winter before (2015) and shortly after (2018) the passage of hurricanes Irma and Maria. Using dynamic community models analyzed within a Bayesian framework, we found significant changes in detectability, with some species becoming more readily detected after the storms and others becoming more difficult to detect during surveys. Changes in occupancy were equally mixed. Five species-mostly granivores and omnivores, but also Black-whiskered Vireo (Vireo altiloquus), a migratory insectivore-occupied more sites in 2018 than in 2015. Twelve species were less common after the hurricanes, including all of the obligate frugivores. Declines in site-occupancy rates were not only more common than increases, but tended to be of greater magnitude. Our results support the general conclusions that bird species respond largely independently to changes in forest structure caused by hurricanes, but that some dietary guilds, notably frugivores, are more sensitive and more likely to show changes in abundance or occupancy following strong storms.

Indexed as

Cyclonic StormsAnimal DistributionAnimalsBayes TheoremBirdsFeeding BehaviorForestsPuerto Rico

Identifiers

PMID31185024
PMCPMC6559628
OpenAlexW2952967479

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.