Evidence map›Paper›PMID 42230669›Full record

ArticleScientific reports2026

Vulnerability of fishery resources to climate change in the Tropical Eastern Pacific Ecosystem off Peru.

Jorge E Ramos, Jorge Tam, Víctor Aramayo, Lucero Achaya, Antonio Cuba, Alonso Del Solar, Pepe Espinoza, Ernesto Fernandez, Isaias Gonzales, Rafael I León and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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

19 authors.

Jorge E RamosInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia. jeramos@utas.edu.au.
Jorge TamInstituto del Mar del Perú, Callao, Lima, Peru.
Víctor AramayoInstituto del Mar del Perú, Callao, Lima, Peru.
Lucero AchayaInstituto del Mar del Perú, Callao, Lima, Peru.
Antonio CubaInstituto del Mar del Perú, Callao, Lima, Peru.
Alonso Del SolarResource Management Working Group, Department of Integrated Modelling, Leibniz Centre for Tropical Marine Research, Bremen, Germany.
Pepe EspinozaInstituto del Mar del Perú, Callao, Lima, Peru.
Ernesto FernandezInstituto del Mar del Perú, Callao, Lima, Peru.
Isaias GonzalesLaboratorio Costero de Paita, Instituto del Mar del Perú, Paita, Peru.
Rafael I LeónInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
Joe MacalupúLaboratorio Costero de Paita, Instituto del Mar del Perú, Paita, Peru.
Gretta T PeclInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
Cecilia PeñaInstituto del Mar del Perú, Callao, Lima, Peru.
Jesús RujelInstituto del Mar del Perú, Callao, Lima, Peru.
Carlos Martín SalazarLaboratorio Costero de Paita, Instituto del Mar del Perú, Paita, Peru.
José SalcedoInstituto del Mar del Perú, Callao, Lima, Peru.
Paul TacuriInstituto del Mar del Perú, Callao, Lima, Peru.
Fabiola ZavalagaInstituto del Mar del Perú, Callao, Lima, Peru.
Dimitri GutiérrezInstituto del Mar del Perú, Callao, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Tropical Eastern Pacific Ecosystem off Peru sustains important fisheries that contribute 12% of the annual fisheries landings of Peru, the world's third-largest marine fisheries producer by catch volume. Although climate change is anticipated to negatively affect fish production in this region, species-specific vulnerability to climate change remains unclear. We implemented a trait-based Climate Vulnerability Assessment using expert elicitation to estimate the relative vulnerability of 35 fishery resources (benthic, demersal, and pelagic) to the impacts of climate change by 2055. Ten exposure factors (e.g., temperature, salinity, pH, chlorophyll) and 12 sensitivity attributes (biological and population-level traits) were used. No species were assessed as having "very high" vulnerability, five species were ranked with "high" vulnerability, 17 species with "medium" vulnerability, and 13 species with "low" vulnerability. The benthic group, particularly bivalves, were ranked the most vulnerable. The pelagic group was the second most vulnerable, with sharks amongst the most vulnerable. The demersal group was estimated with the lowest vulnerability. Temperature, primary productivity, salinity, pH, and chlorophyll were the principal drivers of exposure. This study allowed estimation of the most vulnerable fishery resources and the main exposure factors driving vulnerability, and detection of research and monitoring priorities in the region, which may be helpful to fisheries managers in developing climate change adaptation options and mitigation alternatives in the Tropical Eastern Pacific Ecosystem off Peru.

Indexed as

Climate ChangeEcosystemFisheriesFishesAnimalsConservation of Natural ResourcesPacific OceanPeruSalinityTemperatureTropical ClimateClimate change adaptationExposureFishery resourcesRisk assessmentSensitivity

Identifiers

PMID42230669
PMCPMC13421545

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LicenceCC BY-NC-ND
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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.