Evidence map›Paper›PMID 42243314›Full record

ArticleScientific reports2026

Past projections of submediterranean oaks unveil future range shifts of vulnerable taxa under climate change.

Carlos Vila-Viçosa, Salvador Arenas-Castro, Antoine Guisan, Elif Deniz Ülker, Jean Stephan, Isabel Passos, Francisco M Vázquez, Rubim Almeida, João Honrado, Cristina García and 1 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

11 authors.

Carlos Vila-ViçosaBIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, University of Porto Campus de Vairão, Rua Padre Armando Quintas, 4485-661, Vairão, Portugal. cvv@cibio.up.pt.
Salvador Arenas-CastroBIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, University of Porto Campus de Vairão, Rua Padre Armando Quintas, 4485-661, Vairão, Portugal.
Antoine GuisanDepartment of Ecology and Evolution, Faculty of Biology and Medicine, Université de Lausanne, UNIL Sorge Le Biophore, 1015, Lausanne, Switzerland.
Elif Deniz ÜlkerFunctional Ecology Lab. Department of Biology (Ecology Section), Hacettepe University, Ankara, Turkey.
Jean StephanLaboratory of Georesources, Geosciences and Environment, Faculty of Sciences 2, Lebanese University, Fanar, Lebanon.
Isabel PassosCERNAS-IPCB - Research Centre for Natural Resources, Environment and Society, Instituto Politécnico de Castelo Branco, Castelo Branco, Portugal.
Francisco M VázquezCICYTEX - Centro de Investigaciones Científicas y Tecnológicas de Extremadura; Agricultural Research Centre, Finca La Orden, Ctra. A-V, Km372, 06187, ValdesequeraGuadajira, Badajoz, Spain.
Rubim AlmeidaBIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, University of Porto Campus de Vairão, Rua Padre Armando Quintas, 4485-661, Vairão, Portugal.
João HonradoBIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, University of Porto Campus de Vairão, Rua Padre Armando Quintas, 4485-661, Vairão, Portugal.
Cristina GarcíaDepartment of Biological Sciences. Bourne Building, Office 3-29B, Royal Holloway University of London (RHUL) Egham, Surrey, TW20 EX, UK.
João GonçalvesBIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, University of Porto Campus de Vairão, Rua Padre Armando Quintas, 4485-661, Vairão, Portugal.

Funding

Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa UID500272025Fundação para a Ciência e a Tecnologia CEECIND/02331/2017Fundação para a Ciência e a Tecnologia UI/BD/152853/2022Ministerio de Ciencia e Innovacion (Spain) - NextGenerationEU founds TED2021-131722B-I00
6 · The paper itself

Abstract

Submediterranean marcescent oak forests form a climatic ecotone highly exposed to increasing aridity across the Mediterranean Basin. Understanding how these vulnerable taxa were affected by past climatic shifts can help contextualize their sensitivity to ongoing changes. Here we used ensemble Species Distribution Models (SDMs) to infer the distribution dynamics of eight marcescent oak species from the Heinrich Stadial (~ 17 ka) to the present, and to explore their potential future trajectories for 2070 and 2100 under three SSP scenarios. Models calibrated with 12,450 filtered occurrences and high-resolution paleoclimate and CHELSA datasets performed well (AUC > 0.97), with precipitation and temperature seasonality emerging as key predictors. Hindcasts revealed contrasting east-west Quaternary histories, including episodes of expansion, contraction and partial stability linked to abrupt climate transitions such as the Heinrich Stadial and Younger Dryas. Future projections indicate widespread northward shifts and substantial suitability losses, especially under SSP5-8.5, with pronounced impacts on narrowly distributed taxa. By comparing past-to-present and present-to-future range shifts, we identify temporal coherence in species responses, showing that taxa with strong historical fluctuations tend to exhibit larger projected changes. Integrating past range dynamics provides an essential ecological baseline to interpret species-specific sensitivity and regional asymmetries. Our results refine the identification of potential climatic refugia and high-risk zones, offering a framework to prioritize conservation strategies for transitional oak forests in a rapidly warming Mediterranean Basin.

Indexed as

Climate ChangeForestsModels, BiologicalPlant DispersalQuercusClimateMediterranean RegionRainBiodiversity conservationBiogeographyClimate changeForecastHindcastMediterranean forestsQuercusSpecies distribution models

Identifiers

PMID42243314
PMCPMC13478631

What OpenQuestion holds

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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.