Evidence map›Paper›PMID 41417790›Full record

ArticlePloS one2025

Identifying and assessing nonlinear drivers of capelin and Atlantic cod population dynamics using empirical dynamic modelling (EDM) scenario exploration.

Reid W Steele, Jin Gao, Mariano Koen-Alonso, Paul M Regular

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Reid W SteeleCenter for Fisheries Ecosystem Research (CFER), Fisheries and Marine Institute of Memorial University of Newfoundland, Canada.ORCID https://orcid.org/0000-0002-0886-7560
Jin GaoCenter for Fisheries Ecosystem Research (CFER), Fisheries and Marine Institute of Memorial University of Newfoundland, Canada.
Mariano Koen-AlonsoNorthwest Atlantic Fisheries Centre (NAFC), Fisheries and Oceans Canada, Canada.
Paul M RegularNorthwest Atlantic Fisheries Centre (NAFC), Fisheries and Oceans Canada, Canada.ORCID https://orcid.org/0000-0003-0318-2615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As anthropogenic stressors such as climate change and fisheries continue to disrupt marine ecosystems, it is becoming more important to understand and predict resulting nonlinear effects on species population dynamics. The marine ecosystem of the Newfoundland Shelf serves as a unique case study for this purpose. Capelin (Mallotus villosus) and Atlantic cod (Gadus morhua) were dominant species of the Newfoundland Shelf community before populations of both species collapsed in the early 1990s during a period of abnormally cold climate and overfishing of groundfish, culminating in a regime shift. In this study, we examine 12 climatic and ecological covariates for driving effects on capelin and cod population dynamics using Convergent Cross-Mapping (CCM). We then examine the magnitude and direction of identified drivers on capelin and cod population dynamics, and identify nonlinear relationships between these drivers and resulting population dynamics using Empirical Dynamic Modelling (EDM) scenario exploration. The drivers of cod and capelin were mostly common and synergistic. For both cod and capelin, we found long-term climatic change was the strongest climatic driver of biomass, with warming temperatures predicted to increase biomass for both species in the near future. We observed nonlinearity in this relationship for capelin, with warming temperatures becoming a negative driver at high biomass. Capelin and cod biomass were the strongest ecological drivers of each other, with increasing biomass in either benefitting the other. Overall, this study shows EDM scenario exploration can be used to identify primary drivers of a species' population dynamics, and predict nonlinear reactions to environmental and/or ecological changes in their environment.

Indexed as

GadiformesGadus morhuaAnimalsBiomassClimate ChangeEcosystemFisheriesModels, TheoreticalNewfoundland and LabradorNonlinear DynamicsPopulation Dynamics

Identifiers

PMID41417790
PMCPMC12716747

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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.