Evidence map›Paper›PMID 41559133›Full record

ArticleScientific reports2026

Assessing decadal changes in human exposure near wildfires in a Mediterranean region.

Miguel Ángel Torres-Vázquez, Matteo Dalle Vaglie, Nicholas Kettridge, Federico Martellozzo, Gonzalo Miguez-Macho, Antonello Provenzale, Dominic Royé, Filippo Randelli, Marco Turco

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

9 authors.

Miguel Ángel Torres-VázquezRegional Atmospheric Modelling (MAR) Group, Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum (CEIR), University of Murcia, Murcia, Spain.
Matteo Dalle VaglieDept. of Economics and Management, University of Florence, Florence, Italy.
Nicholas KettridgeSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Federico MartellozzoDept. of Economics and Management, University of Florence, Florence, Italy.
Gonzalo Miguez-MachoNon-Linear Physics Group, Faculty of Physics 15782, CRETUS, Universidade de Santiago de Compostela, Galicia, Spain.
Antonello ProvenzaleInstitute of Geosciences and Earth Resources (IGG), National Research Council (CNR), 56124, Pisa, Italy.
Dominic RoyéBiological Mission of Galicia (MBG), Spanish Council for Scientific Research (CSIC), Pontevedra, Spain.
Filippo RandelliDept. of Economics and Management, University of Florence, Florence, Italy.
Marco TurcoRegional Atmospheric Modelling (MAR) Group, Department of Physics, Regional Campus of International Excellence Campus Mare Nostrum (CEIR), University of Murcia, Murcia, Spain. marco.turco@um.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the evolution of human exposure to wildfires in Catalonia, Spain, over the period 1992–2021, by integrating geospatial data on fire perimeters, population, satellite-derived nighttime light (NTL) imagery, and settlement records. Although the burned area shows a slight statistically non-significant decrease (-0.43 km2/year), human exposure per unit of burned area has risen by 42% (based on GlobPOP data within burned areas) to 138% (based on GlobPOP data within a 5 km static buffer around fire perimeters), depending on the buffer distance and dataset used. This alarming trend is mainly driven by rapid urban expansion and population redistribution, particularly in coastal regions, which highlights a growing intersection between human settlements and fire-prone areas. Our findings emphasize the critical role of urbanization in amplifying wildfire risks, underscoring the urgent need to integrate demographic dynamics into fire risk governance strategies. By employing innovative proxies such as nighttime light data alongside high-resolution population and building density datasets, this study provides a comprehensive framework to assess wildfire exposure in rapidly urbanizing Mediterranean environments.

Indexed as

WildfiresHumansMediterranean RegionSatellite ImagerySpainUrbanization

Identifiers

PMID41559133
PMCPMC12894701

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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.