This leaves us with the problem of estimating current LUCF emissions. There are multiple sources of data available; however many of them fail to provide reliable national-level disaggregation. Furthermore there are large discrepancies in both global estimates and in the aggregation of national estimates to regional totals; notably the reported net reforestation among the Annex I countries (part of their national communications to the UNFCCC) produce aggregate negative emissions highly inconsistent with estimated regional totals from CDIAC,[13] which is generally considered the most reliable regional source). Similarly, the data reported in the national communications of non-Annex I countries and the national data reported in the MATCH [14] database for developing countries, are both inconsistent with the CDIAC regional totals for the developing world. Given these inconsistencies, our approach is to use relative emissions levels between countries in the same region and scale them to meet the regional totals from the CDIAC data set, and then to scale the regional totals to match the global estimate from the Global Carbon Project. [15] The primary national sources we use are the UNFCCC data for Annex I countries and either national communications or MATCH data for developing countries. In some cases (notably Europe), where countries have a mix of positive and negative net LUCF emissions, further constraints have been imposed (e.g., countries with negative emissions aren’t scaled to larger negative values). Nonetheless it remains the case that for us as for everyone, LUCF data and projections should be treated with special caution in drawing conclusions about emissions responsibility and burden sharing.