@Article{FletcherAraLimShiFri:2014:FrPrFo,
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
1449/2014/bg-11-1449-2014-supplement.pdf.",
keywords = "error analysis, forest fire, fractal analysis, mathematical
analysis, MODIS, numerical model, satellite imagery,
spatiotemporal analysis, tropical forest, wind velocity,
Amazonia.",
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 = "15 jun. 2024"
}