author = "Fletcher, I. N. and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de 
                         and Lima, Andr{\'e} and Shimabukuro, Yosio Edemir and 
                         Friedlingstein, P.",
          affiliation = "{University of Exeter} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {University of Exeter}",
                title = "Fractal properties of forest fires in Amazonia as a basis for 
                         modelling pan-tropical burnt area",
              journal = "Biogeosciences",
                 year = "2014",
               volume = "11",
               number = "6",
                pages = "1449--1459",
                 note = "{Supplementary material related to this article is} and {available 
                         online at http://www.biogeosciences.net/11/} and 
             keywords = "error analysis, forest fire, fractal analysis, mathematical 
                         analysis, MODIS, numerical model, satellite imagery, 
                         spatiotemporal analysis, tropical forest, wind velocity, 
             abstract = "Current methods for modelling burnt area in dynamic global 
                         vegetation models (DGVMs) involve complex fire spread 
                         calculations, which rely on many inputs, including fuel 
                         characteristics, wind speed and countless parameters. They are 
                         therefore susceptible to large uncertainties through error 
                         propagation, but undeniably useful for modelling specific, 
                         small-scale burns. Using observed fractal distributions of fire 
                         scars in Brazilian Amazonia in 2005, we propose an alternative 
                         burnt area model for tropical forests, with fire counts as sole 
                         input and few parameters. This model is intended for predicting 
                         large-scale burnt area rather than looking at individual fire 
                         events. A simple parameterization of a tapered fractal 
                         distribution is calibrated at multiple spatial resolutions using a 
                         satellite-derived burnt area map. The model is capable of 
                         accurately reproducing the total area burnt (16 387 km2) and its 
                         spatial distribution. When tested pan-tropically using the MODIS 
                         MCD14ML active fire product, the model accurately predicts 
                         temporal and spatial fire trends, but the magnitude of the 
                         differences between these estimates and the GFED3.1 burnt area 
                         products varies per continent.  Author(s) 2014.",
                  doi = "10.5194/bg-11-1449-2014",
                  url = "http://dx.doi.org/10.5194/bg-11-1449-2014",
                 issn = "1726-4170",
                label = "scopus 2014-05 FletcherAraLimShiFri:2014:FrPrFo",
             language = "en",
           targetfile = "bg-11-1449-2014.pdf",
                  url = "www.biogeosciences.net/11/1449/2014/",
        urlaccessdate = "01 dez. 2020"