Evidence map›Paper›PMID 40519048›Full record

ArticleGlobal change biology2025

Biogeographical Regions and Climate Change: Lanternfishes Shed Light on the Role of Climatic Barriers in the Southern Ocean.

Cam Ly Rintz, Philippe Koubbi, Berta Ramiro-Sánchez, Clara Azarian, Jilda Alicia Caccavo, Cédric Cotté, Eric Goberville, Claire Godet, Percy Alexander Hulley, Rémy Le Goff and 4 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

14 authors.

Cam Ly RintzLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0009-0005-0541-2332
Philippe KoubbiLaboratoire D'océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN/IPSL), UPMC, CNRS, IRD, Muséum National D'histoire Naturelle, Sorbonne Université, Paris, France.
Berta Ramiro-SánchezLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0002-9989-7270
Clara AzarianLaboratoire D'océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN/IPSL), UPMC, CNRS, IRD, Muséum National D'histoire Naturelle, Sorbonne Université, Paris, France.ORCID 0000-0002-5255-1555
Jilda Alicia CaccavoLaboratoire D'océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN/IPSL), UPMC, CNRS, IRD, Muséum National D'histoire Naturelle, Sorbonne Université, Paris, France.ORCID 0000-0002-8172-7855
Cédric CottéLaboratoire D'océanographie et du Climat: Expérimentations et Approches Numériques (LOCEAN/IPSL), UPMC, CNRS, IRD, Muséum National D'histoire Naturelle, Sorbonne Université, Paris, France.ORCID 0000-0002-8307-6435
Eric GobervilleLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0002-1843-7855
Claire GodetLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0001-9028-3902
Percy Alexander HulleyDepartment of Marine Biology, Iziko-South African Museum, Cape Town, South Africa.
Rémy Le GoffUMR MARBEC, CNRS, IRD, IFREMER, Univ Montpellier, Montpellier, France.ORCID 0009-0002-7827-7096
Fabien LeprieurUMR MARBEC, CNRS, IRD, IFREMER, Univ Montpellier, Montpellier, France.
Marine RobuchonLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0001-5873-2915
Baptiste SerandourLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0002-2395-7724
Boris LeroyLaboratoire de Biologie Des Organismes et Des Écosystèmes Aquatiques-BOREA, Muséum National d'Histoire Naturelle (MNHN), SU, CNRS, IRD, UA, Paris, France.ORCID 0000-0002-7686-4302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To predict the spatial responses of biodiversity to climate change, studies typically rely on species-specific approaches, such as species distribution models. In this study, we propose an alternative methodology that investigates the collective response of species groups by modelling biogeographical regions. Biogeographical regions are areas defined by homogeneous species compositions and separated by barriers to dispersal. When climate acts as such a barrier, species within the same region are expected to respond similar to changing climatic conditions, enabling the prediction of entire region shifts in response to future climate scenarios. We applied this approach to the Southern Ocean, which exhibits sharp climatic transitions known as oceanic fronts, focusing on the mesopelagic lanternfishes (family Myctophidae). We compiled occurrence data for 115 lanternfish species from 1950 onwards and employed a network-based analysis to identify two major biogeographical regions: a southern and a subtropical region. These regions were found to be distinct, with minimal overlap in species distributions along the temperature gradient and a separation around 8°C, indicating that temperature likely acts as a climatic barrier. Using an ensemble modelling approach, we projected the response of these regions to future temperature changes under various climate scenarios. Our results suggest a circumpolar expansion of the subtropical region and a contraction of the southern region, with the Southern Ocean becoming a cul-de-sac for southern species. Ultimately, our results suggest that when support is found for the climatic barrier hypothesis, community-level models from a 'group first, then predict' strategy may effectively predict future shifts in species assemblages.

Indexed as

Animal DistributionClimate ChangeFishesAnimalsBiodiversityOceans and SeasTemperaturebiogeographical regionsclimate changeclimatic barriercommunity‐level modellingdistribution shiftmesopelagicMyctophidaeSouthern Ocean

Identifiers

PMID40519048
PMCPMC12168107

What Socratic 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 Socratic graph.