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

F Filippo Brandolini A Angelo Gurgel A Andrea Zerboni (Dipartimento di Scienze delle Terra “A. Desio” Università degli Studi di Milano)

Abstract

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−1, with a potential range of 50.4–101.6 t C ha−1. The widespread abandonment of agroforestry practices led to a 97% reduction in their extent, accompanied by a corresponding expansion of monocultures. Future management scenarios suggest that restoring silvoarable systems could enhance regional carbon sequestration by up to 12%, a gain comparable to afforestation strategies requiring the conversion of 25% of existing farmland. Our findings underscore the global value of traditional ecological knowledge and historical land use strategies in informing carbon-smart agricultural transitions and shaping policies for resilient, multifunctional landscapes.

Article Details

Volume / Issue Vol. 15, Issue 1
Published October 07, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (3)

F

Filippo Brandolini

A

Angelo Gurgel

A

Andrea Zerboni

Dipartimento di Scienze delle Terra “A. Desio” Università degli Studi di Milano