Professional summary
Fabrizio has a background in soil science, biogeochemistry, and land-use systems. His multidisciplinary research combines experimental, modelling, and synthesis-based approaches to examine how natural and semi-natural ecosystems respond to land management and environmental change, particularly in the context of climate change mitigation. Across these areas, process-based biogeochemical models are used as integrative tools to connect experimental evidence with system-level behaviour, assess uncertainty, and interpret responses across spatial and temporal scales.
I am always interested in discussing opportunities for collaboration and future research that combine experimental, modelling, and applied work to explore ideas that cut across disciplinary boundaries.
Research Interests
My research can be divided into four main areas:
- Understanding the processes that control soil carbon turnover, stabilisation, and greenhouse gas emissions across contrasting ecosystems, including partitioning of respiration sources, nitrous oxide emissions from agricultural systems, and the response of soil carbon pools to environmental stressors.
- Assessing the climate implications of land-use change, including the deployment of renewable energy, bioenergy with carbon capture and storage, and other land-based greenhouse gas removal strategies, using a cross-sector perspective that links energy production, land management, and environmental impacts across scale.
- Investigating sustainable agricultural practices using integrative modelling, indicator-based assessment, and synthesis across case studies.
- Applying decision-support and multi-criteria approaches to analyse complex evidence and stakeholder priorities, and to evaluate synergies, trade-offs, and uncertainties across environmental and socio-economic outcomes.
F. Albanito, et al. (2022). How modellers model: the overlooked social and human dimensions in model intercomparison studies. Environmental Science & Technology. 2022;56(18):13485-98. https://doi.org/10.1021/acs.est.2c02023
F. Albanito, et al. (2022). Quantifying the land-based opportunity carbon costs of onshore wind farms. Journal of Cleaner Production, 363. https://doi.org/10.1016/j.jclepro.2022.132480.
K. Tesfaye, et al. (2021). Model Comparison and Quantification of Nitrous Oxide Emission and Mitigation Potential from Maize and Wheat Fields at a Global Scale. Science of the Total Environment, 782. https://doi.org/10.1016/j.scitotenv.2021.146696.
M. Jones and F. Albanito (2020). Can biomass supply meet the demands of BECCS? Global Change Biology, https://doi.org/10.1111/gcb.15296.
J. Smith, et al. (2020). A systems model describing the impact of organic resource use on farming households in low to middle income countries. Agricultural Systems. https://doi.org/10.1016/j.agsy.2020.102895.
Z. Shang, et al. (2019). Measurement of N2O emissions over the whole year is necessary for estimating reliable emission factors. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.113864.
F. Albanito, et al. (2019). Mitigation potential and environmental impact of centralized versus distributed BECCS with domestic biomass production in Great Britain. Global Change Biology and Bioenergy. https://doi.org/10.1111/gcbb.12630
Q. Yue, et al. (2018). Re-assessing nitrous oxide emissions from croplands across Mainland China. Agriculture, Ecosystems & Environment, 268, 70-78. https://doi.org/10.1016/j.agee.2018.09.003
A. Molotoks, et al. (2018). Global projections of future cropland expansion to 2050 and direct impacts on biodiversity and carbon storage. Global Change Biology, 24(12), 5895-5908. https://doi.org/10.1111/gcb.14459
F. Albanito, et al. (2017). Direct Nitrous Oxide emissions from tropical and subtropical agricultural systems - a review and modelling of emission factors. Scientific Reports Nature, 7, 44235. https://doi.org/10.1038/srep44235