Evidence map›Paper›PMID 29875209›Full record

SynthesisBiology letters2018

A model to estimate seabird field metabolic rates.

Ruth E Dunn, Craig R White, Jonathan A Green

Abstract readMeta-Analysis
In one paragraph

Synthesis in Biology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Island restoration to rebuild seabird populations and amplify coral reef functioning.Conservation biology : the journal of the Society for Conservation Biology · 2025
    Article
  5. Article
  6. A framework to unlock marine bird energetics.The Journal of experimental biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Ruth E DunnSchool of Environmental Sciences, University of Liverpool, Liverpool L69 3GP, UK ruth.dunn@liverpool.ac.uk.ORCID 0000-0003-0927-2734
Craig R WhiteCentre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria 3800, Australia.ORCID 0000-0002-0200-2187
Jonathan A GreenSchool of Environmental Sciences, University of Liverpool, Liverpool L69 3GP, UK.ORCID 0000-0001-8692-0163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For free-ranging animals, field metabolic rate (FMR) is the sum of their energy expenditure over a specified period. This quantity is a key component of ecological processes at every biological level. We applied a phylogenetically informed meta-analytical approach to identify the large-scale determinants of FMR in seabirds during the breeding season. Using data from 64 studies of energetics in 47 species, we created a model to estimate FMR for any seabird population. We found that FMR was positively influenced by body mass and colony latitude and that it increased throughout the breeding season from incubation to brood to crèche. FMR was not impacted by colony-relative predation pressure or species average brood size. Based on this model, we present an app through which users can generate estimates of FMR for any population of breeding seabird. We encourage the use of this app to complement behavioural studies and increase understanding of how energetic demands influence the role of seabirds as driving components of marine systems.

Indexed as

AnimalsBirdsBody WeightComputer SimulationEnergy MetabolismGeographyLife Cycle StagesPhylogenySeasonsbreeding seasonenergeticsenergy expenditurefield metabolic ratemeta-analysisseabirds

Identifiers

PMID29875209
PMCPMC6030596

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.