Gabbrielli Mara

Assegnista di tipo B
Other roles
  • Professore a contratto

Contacts

Sede di lavoro

Via Celoria, 2
20133 MILANO (MI)

E-mail di ateneo
Research

Publications

  • The Roots Awaken: Development and implementation of a root autotrophic respiration module for soil CO2 flux partitioning in a cropping system process-based model / M. Gabbrielli, L. Vario, M. Botta, M. Perfetto, M. Acutis, A. Perego, G. Ragaglini. - In: ITALIAN JOURNAL OF AGRONOMY. - ISSN 1125-4718. - 20:3(2025 Sep), pp. 100044.1-100044.16. [10.1016/j.ijagro.2025.100044]
  • Development of ReturN, a manure redistribution optimisation tool: Description and application context / M. Gabbrielli, J.W.M. Pullens, M. Botta, N.J. Hutchings, J. Doltra, F. Domingo-Olivé, M. Acutis, A. Fiorini, P. Pasta, G. Ragaglini, A. Perego. - In: AGRICULTURAL SYSTEMS. - ISSN 0308-521X. - 227:(2025 Jun 01), pp. 104350.1-104350.13. [10.1016/j.agsy.2025.104350]
  • Simulating soil greenhouse gases emissions with the ARMOSA model: calibration with continuous field measures of CO2 and N2O soil fluxes from the AGRESTIC Project / M. Gabbrielli, M. Botta, M. Perfetto, I. Volpi, D. Guidotti, C. Tozzini, P. Meriggi, A. Perego, M. Acutis, G. Ragaglini - In: MetroAgriFor : Metrology for Agriculture and Forestry[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2024 Feb 12. - ISBN 9798350312720. - pp. 216-221 (( Intervento presentato al 6. convegno IEEE International Workshop : 6 through 8 November tenutosi a Pisa nel 2023 [10.1109/metroagrifor58484.2023.10424150].
  • A Review of the Main Process-Based Approaches for Modeling N2O Emissions from Agricultural Soils / M. Gabbrielli, M. Allegrezza, G. Ragaglini, A. Manco, L. Vitale, A. Perego. - In: HORTICULTURAE. - ISSN 2311-7524. - 10:1(2024 Jan 19), pp. 98.1-98.47. [10.3390/horticulturae10010098]
  • A new module to simulate surface crop residue decomposition: Description and sensitivity analysis / T. Tadiello, M. Gabbrielli, M. Botta, M. Acutis, L. Bechini, G. Ragaglini, A. Fiorini, V. Tabaglio, A. Perego. - In: ECOLOGICAL MODELLING. - ISSN 0304-3800. - 480:(2023 Jun), pp. 110327.1-110327.15. [10.1016/j.ecolmodel.2023.110327]