Evidence map›Paper›PMID 41413381›Full record

ArticleNature communications2025

A tridimensional framework for governance in the wildland-urban interface using Pyro-Socio-Ecological Zones.

Onofrio Cappelluti, Francisco J Escobedo, Giovanni Sanesi, Mario Elia

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

4 authors.

Onofrio CappellutiDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, Bari, Italy.
Francisco J EscobedoUSDA Forest Service, Pacific Southwest Research Station, Riverside, CA, USA. Francisco.Escobedo@usda.gov.ORCID http://orcid.org/0000-0002-9272-5046
Giovanni SanesiDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, Bari, Italy.
Mario EliaDepartment of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, Bari, Italy.ORCID http://orcid.org/0000-0003-4382-2752

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zones where urban land covers meet wildland areas have become a critical point of interaction between human settlements and natural ecosystems at risk of wildfire. These zones span diverse socioeconomic, governance, and ecological dimensions that are often not accounted for with frequently used methodologies. We developed and mapped a tri-dimensional Pyro-Socio-Ecological Zone (PSEZ) framework based on a suite of composite indicators that account for disparate Ecological, Socioeconomic, and Governance contexts in southern Italy (IT) and southern California (CA), USA. In CA, PSEZ with high governance consistently present a lower number of wildfires compared to PSEZ with low governance values. In IT, PSEZ with low governance indicate a lower number of wildfires and more burned area while PSEZ with high governance levels had more wildfires and less burned area. Overall, we found that the distribution of PSEZs and wildfire governance implications differed between CA and IT, underscoring greater spatial fragmentation, disparate contexts, and complex socio-ecological interactions in these peri-urban areas. Findings highlight that care is warranted when applying USA derived methods and concepts to fire-prone, landscapes in different geographies and contexts.

Indexed as

Conservation of Natural ResourcesEcosystemWildfiresCaliforniaCitiesHumansItalySocioeconomic Factors

Identifiers

PMID41413381
PMCPMC12714711

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.