Evidence map›Paper›PMID 35384617›Full record

ArticleAmbio2022

News media and fisheries-independent data reveal hidden impacts of hurricanes.

Stephen F Jane, Kayla M Smith, Dana Baker, Allison Saroni, Emma Cutler, Paul Carvalho

Open access · greenAbstract read
In one paragraph

Article in Ambio, 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
0.4field-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, 3 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

6 authors at 6 institutions in 1 country.

Stephen F JaneDepartment of Biological Sciences, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY, 12180, USA. sfj24@cornell.edu.ORCID http://orcid.org/0000-0003-2968-359X
Kayla M SmithDepartment of Environmental Science, SUNY College of Environmental Science and Forestry, 1 Forestry Dr., Syracuse, NY, 13210, USA.
Dana BakerDuke University Marine Laboratory, Nicholas School of the Environment, Duke University, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA.
Allison SaroniDepartment of Anthropology, University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Emma CutlerThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Paul CarvalhoDepartment of Fisheries, Animal, and Veterinary Sciences, University of Rhode Island, Kingston, RI, 02881, USA.
Dartmouth College · USDuke University · USPurchase College · USRensselaer Polytechnic Institute · USThe University of Texas at San Antonio · USUniversity of Rhode Island · US

Funding

US National Science Foundation 1638704US National Science Foundation 1645627US National Science Foundation 1754265US National Science Foundation DBI-1639145
6 · The paper itself

Abstract

Climate change will likely intensify hurricane activity in coastal regions. A thorough understanding of hurricane impacts to marine fauna is necessary to prepare for and mitigate potential impacts to social systems dependent upon adjacent fauna. Yet, research attention, conservation funding, and policy all can be biased toward taxa of societal interest, potentially favoring a limited understanding of hurricane impacts. Here, we analyzed the frequency of mentions of taxa in newspaper articles in relation to hurricane activity at three coastal US locations coupled with analysis of long-term fisheries-independent data. While economically important taxa dominate media discourse, we observed long-term hurricane-related abundance declines in ecologically important taxa having little direct human utility. We conclude that there is a potential for research and policy biases related to hurricane impacts. Preparation and mitigation efforts will benefit from researchers and managers making directed efforts to identify and incorporate hurricane sensitive taxa into their work.

Indexed as

Cyclonic StormsClimate ChangeEcosystemFisheriesHumansClimate changeEstuariesFishFisheriesHurricanesNews media

Identifiers

PMID35384617
PMCPMC9378804
OpenAlexW4225713325

What OpenQuestion holds

Textmetadata
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.