@Article{RosanGGOPMAHVWTBFS:2021:MuAsLa,
               author = "Rosan, Thais M. and Goldewijk, Kess Klein and Gazenm{\"u}ller, 
                         Raphael and O'Sullivan, Michael and Pongratz, Julia and Mercado, 
                         Lina M. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and 
                         Heinrich, Viola and Von Randow, Celso and Wiltshire, Andrew and 
                         Tubiello, Francesco N. and Bastos, Ana and Friedlingstein, Pierre 
                         and Sitch, Stephen",
          affiliation = "{University of Exeter} and {Utrecht University} and 
                         {Ludwig-Maximilians-Universit{"a}t} and {University of Exeter} 
                         and {Ludwig-Maximilians-Universit{"a}t} and {University of 
                         Exeter} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {University of Bristol} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {University of Exeter} and FAO and {Max 
                         Planck Institute for Biogeochemistry} and {University of Exeter} 
                         and {University of Exeter}",
                title = "A multi-data assessment of land use and land cover emissions from 
                         Brazil during 2000-2019",
              journal = "Environmental Research Letters",
                 year = "2021",
               volume = "16",
               number = "7",
                pages = "e074004",
                month = "July",
             keywords = "land-use and land cover changedeforestationland-use 
                         emissionsglobal carbon budget.",
             abstract = "Brazil is currently the largest contributor of land use and land 
                         cover change (LULCC) carbon dioxide net emissions worldwide, 
                         representing 17%-29% of the global total. There is, however, a 
                         lack of agreement among different methodologies on the magnitude 
                         and trends in LULCC emissions and their geographic distribution. 
                         Here we perform an evaluation of LULCC datasets for Brazil, 
                         including those used in the annual global carbon budget (GCB), and 
                         national Brazilian assessments over the period 2000-2018. Results 
                         show that the latest global HYDE 3.3 LULCC dataset, based on new 
                         FAO inventory estimates and multi-annual ESA CCI satellite-based 
                         land cover maps, can represent the observed spatial variation in 
                         LULCC over the last decades, representing an improvement on the 
                         HYDE 3.2 data previously used in GCB. However, the magnitude of 
                         LULCC assessed with HYDE 3.3 is lower than estimates based on 
                         MapBiomas. We use HYDE 3.3 and MapBiomas as input to a global 
                         bookkeeping model (bookkeeping of land use emission, BLUE) and a 
                         process-based Dynamic Global Vegetation Model (JULES-ES) to 
                         determine Brazil's LULCC emissions over the period 2000-2019. 
                         Results show mean annual LULCC emissions of 0.1-0.4 PgC yr(-1), 
                         compared with 0.1-0.24 PgC yr(-1) reported by the Greenhouse Gas 
                         Emissions Estimation System of land use changes and forest sector 
                         (SEEG/LULUCF) and by FAO in its latest assessment of deforestation 
                         emissions in Brazil. Both JULES-ES and BLUE now simulate a 
                         slowdown in emissions after 2004 (-0.006 and -0.004 PgC yr(-2) 
                         with HYDE 3.3, -0.014 and -0.016 PgC yr(-2) with MapBiomas, 
                         respectively), in agreement with the Brazilian INPE-EM, global 
                         Houghton and Nassikas book-keeping models, FAO and as reported in 
                         the 4th national greenhouse gas inventories. The inclusion of 
                         Earth observation data has improved spatial representation of 
                         LULCC in HYDE and thus model capability to simulate Brazil's LULCC 
                         emissions. This will likely contribute to reduce uncertainty in 
                         global LULCC emissions, and thus better constrains GCB 
                         assessments.",
                  doi = "10.1088/1748-9326/ac08c3",
                  url = "http://dx.doi.org/10.1088/1748-9326/ac08c3",
                 issn = "1748-9326",
             language = "en",
           targetfile = "rosan-multi.pdf",
        urlaccessdate = "09 maio 2024"
}