Evidence map›Paper›PMID 34987352›Full record

ArticleEcography2022

Airflow modelling predicts seabird breeding habitat across islands.

Emmanouil Lempidakis, Andrew N Ross, Luca Börger, Emily L C Shepard

Open access · goldAbstract read
In one paragraph

Article in Ecography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Emmanouil LempidakisDept of Biosciences, Swansea Univ., Swansea, UK.ORCID https://orcid.org/0000-0003-2384-9093
Andrew N RossSchool of Earth and Environment, Univ. of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-8631-3512
Luca BörgerDept of Biosciences, Swansea Univ., Swansea, UK; Centre for Biomathematics, College of Science, Swansea Univ., Swansea, UK.ORCID https://orcid.org/0000-0001-8763-5997
Emily L C ShepardDept of Biosciences, Swansea Univ., Swansea, UK.ORCID https://orcid.org/0000-0001-7325-6398
Swansea University · GBUniversity of Leeds · GB

Funding

European Research Council 715874
6 · The paper itself

Abstract

Wind is fundamentally related to shelter and flight performance: two factors that are critical for birds at their nest sites. Despite this, airflows have never been fully integrated into models of breeding habitat selection, even for well-studied seabirds. Here, we use computational fluid dynamics to provide the first assessment of whether flow characteristics (including wind speed and turbulence) predict the distribution of seabird colonies, taking common guillemots

Indexed as

climate changecomputational fluid dynamicsdistributionflighthabitat useseabirdwind

Identifiers

PMID34987352
PMCPMC7612159
OpenAlexW3217095425

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.