Evidence map›Paper›PMID 41057561›Full record

ArticleScientific reports2025

Data-driven scenario analysis supports the revival of historic silvoarable systems for carbon smart rural landscapes.

Filippo Brandolini, Angelo Gurgel, Andrea Zerboni

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Filippo BrandoliniCenter for Sustainability Science and Strategy, Massachusetts Institute of Technology, 400 Main St, Cambridge, MA, 02142, USA. filbrand@mit.edu.
Angelo GurgelCenter for Sustainability Science and Strategy, Massachusetts Institute of Technology, 400 Main St, Cambridge, MA, 02142, USA.
Andrea ZerboniDipartimento di Scienze della Terra "Ardito Desio", Università degli Studi di Milano, Via Luigi Mangiagalli 34, 20133, Milan, Italy.

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions 101105219
6 · The paper itself

Abstract

Agroforestry has long been recognised as a nature-based solution for climate mitigation, yet its adoption in Europe has drastically declined due to the socio-economic transformations and land use intensification since the onset of the Great Acceleration (ca. mid-twentieth century). This study reconstructs the historical role of agroforestry in Northern Italy by drawing on century-long land use records (1929-2024) and historical sources, which were crucial for identifying and modelling the carbon stock of traditional silvoarable systems. Through the integration of Monte Carlo simulations and scenario-based modelling, we estimate that historic silvoarable systems stored an average of 75.4 t C ha

Identifiers

PMID41057561
PMCPMC12504591

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.