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Petrescu, Ana Maria Roxana; Peters, Glen P.; Janssens-Maenhout, Greet; Ciais, Philippe; Tubiello, Francesco N.; Grassi, Giacomo; Nabuurs, Gert-Jan; Leip, Adrian; Carmona-Garcia, Gema; Winiwarter, Wilfried; Höglund-Isaksson, Dirk; Solazzo, Efisio; Kiesow, Anja; Bastos, Ana ORCID logoORCID: https://orcid.org/0000-0002-7368-7806; Pongratz, Julia ORCID logoORCID: https://orcid.org/0000-0003-0372-3960; Nabel, Julia E. M. S.; Conchedda, Giulia; Pilli, Roberto; Andrew, Robbie M.; Schelhaas, Mart-Jan and Dolman, Han (2019): European anthropogenic AFOLU emissions and their uncertainties: a review and benchmark data. In: Earth System Science Data (ESSD) [PDF, 1MB]

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Emission of greenhouse gases (GHG) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, along with estimates of their inherent uncertainties, in order to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in Europe. The data integrates recent AFOLU emission inventories with ecosystem data and land carbon models, covering the European Union (EU28) and summarizes GHG emissions and removals over the period 1990–2016, of relevance for UNFCCC. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGI) with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Particular effort is devoted to the estimation of uncertainty, its propagation and role in the comparison of different estimates. While NGHGI data for EU28 provides consistent quantification of uncertainty following the established IPCC guidelines, uncertainty in the estimates produced with other methods will need to account for both within model uncertainty and the spread from different model results. At EU28 level, the largest inconsistencies between estimates are mainly due to different sources of data related to human activity which result in emissions or removals taking place during a given period of time (IPCC 2006) referred here as activity data (AD) and methodologies (Tiers) used for calculating emissions/removals from AFOLU sectors. The referenced datasets related to figures are visualised at https://doi.org/10.5281/zenodo.3460311, Petrescu et al., 2019.

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