Evidence map›Paper›PMID 37506064›Full record

ArticlePloS one2023

An intercomparison of models predicting growth of Antarctic krill (Euphausia superba): The importance of recognizing model specificity.

Dominik Bahlburg, Sally E Thorpe, Bettina Meyer, Uta Berger, Eugene J Murphy

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.7field-weighted citation impact, top 4% 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, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Dominik BahlburgInstitute of Forest Growth and Forest Computer Sciences, Faculty of Environmental Sciences, Technische Universität Dresden, Dresden, Sachsen, Germany.ORCID 0000-0003-0210-0649
Sally E ThorpeEcosystems team, British Antarctic Survey, Cambridge, United Kingdom.
Bettina MeyerInstitute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky Universität, Oldenburg, Germany.
Uta BergerInstitute of Forest Growth and Forest Computer Sciences, Faculty of Environmental Sciences, Technische Universität Dresden, Dresden, Sachsen, Germany.
Eugene J MurphyEcosystems team, British Antarctic Survey, Cambridge, United Kingdom.
British Antarctic Survey · GBAlfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung · DEHelmholtz Centre for Environmental Research · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antarctic krill (Euphausia superba) is a key species of the Southern Ocean, impacted by climate change and human exploitation. Understanding how these changes affect the distribution and abundance of krill is crucial for generating projections of change for Southern Ocean ecosystems. Krill growth is an important indicator of habitat suitability and a series of models have been developed and used to examine krill growth potential at different spatial and temporal scales. The available models have been developed using a range of empirical and mechanistic approaches, providing alternative perspectives and comparative analyses of the key processes influencing krill growth. Here we undertake an intercomparison of a suite of the available models to understand their sensitivities to major driving variables. This illustrates that the results are strongly determined by the model structure and technical characteristics, and the data on which they were developed and validated. Our results emphasize the importance of assessing the constraints and requirements of individual krill growth models to ensure their appropriate application. The study also demonstrates the value of the development of alternative modelling approaches to identify key processes affecting the dynamics of krill. Of critical importance for modelling the growth of krill is appropriately assessing and accounting for differences in estimates of food availability resulting from alternative methods of observation. We suggest that an intercomparison approach is particularly valuable in the development and application of models for the assessment of krill growth potential at circumpolar scales and for future projections. As another result of the intercomparison, the implementations of the models used in this study are now publicly available for future use and analyses.

Indexed as

EcosystemEuphausiaceaAnimalsAntarctic RegionsClimate ChangeHumansSeafood

Identifiers

PMID37506064
PMCPMC10381086
OpenAlexW4385340371

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.