Evidence map›Paper›PMID 40838093›Full record

ArticleOpen research Europe2025

Reconstructing Italy's rural landscape before the Great Acceleration: A geospatial baseline from the

Filippo Brandolini

Abstract read
In one paragraph

Article in Open research Europe, 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

1 author.

Filippo BrandoliniCenter for Sustainability Science and Strategy, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a geospatial dataset detailing the rural landscape of Italy in the 1920s, based on the Catasto Agrario 1929 survey. The dataset integrates data from the survey into a Geographic Information System (GIS), providing insights into land use and land cover (LULC), demographic characteristics, livestock distribution, crop yields, and precipitation patterns. Historical data have been digitised using Optical Character Recognition (OCR) and organised into a vector format, capturing the administrative boundaries of Italy's provinces as they were in the 1920s. By documenting Italy's rural landscape just before the onset of the Great Acceleration (ca. mid-20th century CE) the dataset offers a critical historical baseline for analysing long-term socio-environmental transformations. The research aims to facilitate future studies on the environmental impacts of Italy's rural transitions, offering an open-access resource that enables comparisons between past and present landscapes. It highlights the role of traditional agricultural practices, such as agroforestry, which were widespread before the shift towards modern monoculture systems. This dataset holds potential for applications in environmental sciences, historical geography, and heritage studies, providing a foundation for exploring sustainable agricultural practices and the enduring effects of rural depopulation and land-use change.

Indexed as

AgroforestryDemographic dynamicsHistoric Land UseRegression KrigingRural Heritage

Identifiers

PMID40838093
PMCPMC12361881

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.