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

Articolo
Data di Pubblicazione:
2025
Citazione:
Data-driven scenario analysis supports the revival of historic silvoarable systems for carbon smart rural landscapes / F. Brandolini, A. Gurgel, A. Zerboni. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 15:1(2025 Oct 07), pp. 34963.1-34963.14. [10.1038/s41598-025-18950-7]
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Physical Geography; Landscape Modelling; Climate Adaptation; Computational Analysis
Elenco autori:
F. Brandolini, A. Gurgel, A. Zerboni
Autori di Ateneo:
BRANDOLINI FILIPPO ( autore )
ZERBONI ANDREA ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/1187016
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/1187016/3153206/s41598-025-18950-7.pdf
Progetto:
Rural landscape hEritage and CArbon sequestration (RhECAST)
  • Aree Di Ricerca

Aree Di Ricerca

Settori (2)


Settore ARCH-01/G - Metodologie della ricerca archeologica

Settore GEOS-03/A - Geografia fisica e geomorfologia
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