Evidence map›Paper›PMID 39757897›Full record

ArticleGlobal change biology2025

Climate Change Influences via Species Distribution Shifts and Century-Scale Warming in an End-To-End California Current Ecosystem Model.

Owen R Liu, Isaac C Kaplan, Pierre-Yves Hernvann, Elizabeth A Fulton, Melissa A Haltuch, Chris J Harvey, Kristin N Marshall, Barbara Muhling, Karma Norman, Mercedes Pozo Buil and 2 more

Abstract read
In one paragraph

Article in Global change biology, 2025. 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
–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

1 citing paper in PubMed.

  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

12 authors.

Owen R LiuNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.ORCID 0000-0002-9735-3384
Isaac C KaplanNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Pierre-Yves HernvannDECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, France.
Elizabeth A FultonCSIRO Environment, Hobart, Tasmania, Australia.ORCID 0000-0002-5904-7917
Melissa A HaltuchAlaska Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Chris J HarveyNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Kristin N MarshallFishery Resource Analysis and Monitoring Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Barbara MuhlingInstitute of Marine Sciences Fisheries Collaborative Program, University of California, Santa Cruz, Santa Cruz, California, USA.
Karma NormanNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Mercedes Pozo BuilInstitute of Marine Sciences Fisheries Collaborative Program, University of California, Santa Cruz, Santa Cruz, California, USA.
Alberto RovelliniAlaska Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.
Jameal F SamhouriNorthwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA.

Funding

Climate Program Office NA20OAR4310507David and Lucile Packard Foundation 2019-69817
6 · The paper itself

Abstract

Climate change can impact marine ecosystems through many biological and ecological processes. Ecosystem models are one tool that can be used to simulate how the complex impacts of climate change may manifest in a warming world. In this study, we used an end-to-end Atlantis ecosystem model to compare and contrast the effects of climate-driven species redistribution and projected temperature from three separate climate models on species of key commercial importance in the California Current Ecosystem. Adopting a scenario analysis approach, we used Atlantis to measure differences in the biomass, abundance, and weight at age of pelagic and demersal species among six simulations for the years 2013-2100 and tracked the implications of those changes for spatially defined California Current fishing fleets. The simulations varied in their use of forced climate-driven species distribution shifts, time-varying projections of ocean warming, or both. In general, the abundance and biomass of coastal pelagic species like Pacific sardine (Sardinops sagax) and northern anchovy (Engraulis mordax) were more sensitive to projected climate change, while demersal groups like Dover sole (Microstomus pacificus) experienced smaller changes due to counteracting effects of spatial distribution change and metabolic effects of warming. Climate-driven species distribution shifts and the resulting changes in food web interactions were more influential than warming on end-of-century biomass and abundance patterns. Spatial projections of changes in fisheries catch did not always align with changes in abundance of their targeted species. This mismatch is likely due to species distribution shifts into or out of fishing areas and emphasizes the importance of a spatially explicit understanding of both climate change effects and fishing dynamics. We illuminate important biological and ecological pathways through which climate change acts in an ecosystem context and end with a discussion of potential management implications and future directions for climate change research using ecosystem models.

Indexed as

BiomassClimate ChangeEcosystemFishesAnimal DistributionAnimalsCaliforniaClimate ModelsFisheriesGlobal WarmingModels, BiologicalModels, TheoreticalPacific OceanTemperatureAtlantis ecosystem modelCalifornia currentclimate changeecosystem dynamicsspecies distribution modeling

Identifiers

PMID39757897
PMCPMC11701712

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.