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dc.contributor.authorROMAN CUESTA Rosa Mariaen_GB
dc.contributor.authorHEROLD Martinen_GB
dc.contributor.authorRUFINO Marianaen_GB
dc.contributor.authorROSENSTOCK Todden_GB
dc.contributor.authorHOUGHTON R. A.en_GB
dc.contributor.authorROSSI Simoneen_GB
dc.contributor.authorBUTTERBACH-BAHL K.en_GB
dc.contributor.authorOgle Stephenen_GB
dc.contributor.authorPOULTER Benjaminen_GB
dc.contributor.authorVERCHOT Louisen_GB
dc.contributor.authorMARTIUS Christopheren_GB
dc.contributor.authorDE BRUIN Sytzeen_GB
dc.date.accessioned2017-01-27T01:24:20Z-
dc.date.available2017-01-25en_GB
dc.date.available2017-01-27T01:24:20Z-
dc.date.created2017-01-24en_GB
dc.date.issued2016en_GB
dc.date.submitted2016-12-14en_GB
dc.identifier.citationBIOGEOSCIENCES vol. 13 no. 20 p. 5799-5819en_GB
dc.identifier.issn1726-4170en_GB
dc.identifier.uriwww.biogeosciences.net/13/5799/2016/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC105003-
dc.description.abstractThe Agriculture, Forestry and Other Land Use (AFOLU) sector contributes with ca. 20–25 % of global anthropogenic emissions (2010), making it a key component of any climate change mitigation strategy. AFOLU estimates, however, remain highly uncertain, jeopardizing the mitigation effectiveness of this sector. Comparisons of global AFOLU emissions have shown divergences of up to 25 %, urging for improved understanding of the reasons behind these differences. Here we compare a variety of AFOLU emission datasets and estimates given in the Fifth Assessment Report for the tropics (2000–2005) to identify plausible explanations for the differences in (i) aggregated gross AFOLU emissions, and (ii) disaggregated emissions by sources and gases (CO2, CH4, N2O). We also aim to (iii) identify countries with low agreement among AFOLU datasets to navigate research efforts. The datasets are FAOSTAT (Food and Agriculture Organization of the United Nations, Statistics Division), EDGAR (Emissions Database for Global Atmospheric Research), the newly developed AFOLU “Hotspots”, “Houghton”, “Baccini”, and EPA (US Environmental Protection Agency) datasets. Aggregated gross emissions were similar for all databases for the AFOLU sector: 8.2 (5.5–12.2), 8.4, and 8.0 Pg CO2 eq. yr−1 (for Hotspots, FAOSTAT, and EDGAR respectively), forests reached 6.0 (3.8–10), 5.9, 5.9, and 5.4 Pg CO2 eq. yr−1 (Hotspots, FAOSTAT, EDGAR, and Houghton), and agricultural sectors were with 1.9 (1.5–2.5), 2.5, 2.1, and 2.0 Pg CO2 eq. yr−1 (Hotspots, FAOSTAT, EDGAR, and EPA). However, this agreement was lost when disaggregating the emissions by sources, continents, and gases, particularly for the forest sector, with fire leading the differences. Agricultural emissions were more homogeneous, especially from livestock, while those from croplands were the most diverse. CO2 showed the largest differences among the datasets. Cropland soils and enteric fermentation led to the smaller N2O and CH4 differences. Disagreements are explained by differences in conceptual frameworks (carbon-only vs. multi-gas assessments, definitions, land use vs. land cover, etc.), in methods (tiers, scales, compliance with Intergovernmental Panel on Climate Change (IPCC) guidelines, legacies, etc.) and in assumptions (carbon neutrality of certain emissions, instantaneous emissions release, etc.) which call for more complete and transparent documentation for all the available datasets. An enhanced dialogue between the carbon (CO2) and the AFOLU (multi-gas) communities is needed to reduce discrepancies of land use estimates.en_GB
dc.description.sponsorshipJRC.D.1-Bio-economyen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_GB
dc.relation.ispartofseriesJRC105003en_GB
dc.titleMulti-gas and multi-source comparisons of six land use emission datasets and AFOLU estimates in the Fifth Assessment Report, for the tropics for 2000–2005en_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.5194/bg-13-5799-2016en_GB
JRC Directorate:Sustainable Resources

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