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  • 标题:European anthropogenic AFOLU greenhouse gas emissions a review and benchmark data
  • 本地全文:下载
  • 作者:Petrescu, Ana Maria Roxana ; Peters, Glen P. ; Janssens-Maenhout, Greet
  • 期刊名称:Earth System Science Data Discussions
  • 电子版ISSN:1866-3591
  • 出版年度:2020
  • 卷号:12
  • 期号:2
  • 页码:961-1001
  • DOI:10.5194/essd-12-961-2020
  • 语种:English
  • 出版社:Copernicus Publications
  • 摘要:Emission of greenhouse gases (GHGs) and removals from land, including bothanthropogenic and natural fluxes, require reliable quantification, includingestimates of uncertainties, to support credible mitigation action under theParis Agreement. This study provides a state-of-the-art scientific overviewof bottom-up anthropogenic emissions data from agriculture, forestry andother land use (AFOLU) in the European Union (EU281). The data integraterecent AFOLU emission inventories with ecosystem data and land carbon modelsand summarize GHG emissions and removals over the period 1990–2016. Thiscompilation of bottom-up estimates of the AFOLU GHG emissions of Europeannational greenhouse gas inventories (NGHGIs), with those of land carbon modelsand observation-based estimates of large-scale GHG fluxes, aims at improvingthe overall estimates of the GHG balance in Europe with respect to land GHGemissions and removals. Whenever available, we present uncertainties, itspropagation and role in the comparison of different estimates. While NGHGIdata for the EU28 provide consistent quantification of uncertainty followingthe established IPCC Guidelines, uncertainty in the estimates produced withother methods needs to account for both within model uncertainty and thespread from different model results. The largest inconsistencies betweenEU28 estimates are mainly due to different sources of data related tohuman activity, referred to here as activity data (AD) and methodologies(tiers) used for calculating emissions and removals from AFOLU sectors. Thereferenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.3662371 (Petrescu et al., 2020).
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