@InProceedings{MartinsNoguSetzMore:2019:SeFiDy,
author = "Martins, Guilherme and Nogueira, Joana Messias Pereira and Setzer,
Alberto Waingort and Morelli, Fabiano",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Seasonal fire dynamics in Brazilian biomes in the last years",
year = "2019",
organization = "EGU General Assembly",
keywords = "fire modelling, fire risk, Cerrado, Amazonia.",
abstract = "A worldwide increase in the number of vegetation fires occurred in
the last decades and Brazil accounts for the highest records in
South America. The use of fire is still common as a tool for soil
management, deforestation, pasture renewal and manual sugar-cane
harvesting in developing regions. However, inadequate fire use
causes socioeconomic and environmental damages. In this context,
an assessment of the potential fire risk of vulnerable lands can
be used to minimize harmful consequences and promote sustainable
land management and practices. Therefore, the aim of this study
was to evaluate the seasonal predominant fire risk in the
Brazilian biomes (Amazonia, Caatinga, Cerrado, Mata
Atl{\^a}ntica, Pampas e Pantanal) from 2001 to 2017 according to
the fire risk (FR) model from Center for Weather Forecasting and
Climate Studies/National Institute of Space Research (CPTEC/INPE).
The FR model estimates the daily fire risk in a given region based
on the number of consecutive days without precipitation during the
last 120 days, the maximum daily temperature, the minimum daily
relative air humidity and the local vegetation type. The
meteorological data were obtained from the Climate Prediction
Center and from reanalysis of the European Center for Medium-Range
Weather Forecasts Interim Reanalysis. The vegetation type is a
reclassification of Brazil0 s MapBiomas v3.0 dataset in seven
predominant land cover classes defined by the Brazilian Institute
of Geography and Statistics-IBGE. All input datasets were
interpolated to a grid of 25x25km spatial resolution. From the
daily FR data, the monthly predominance of FR in each biome was
calculated, issuing the monthly median values within the 25th and
75th percentiles values for the same month of all years. The
predominant FR values were evaluated in five categories:
1-minimum: FR<0.15, 2-low: 0.15<FR<0.40, 3-medium: 0.40<FR<0.70,
4-high: 0.70<FR<0.95 and 5-critical: FR>0.95). The biomes showed
different seasonal distributions of FR. Caatinga, Cerrado and
Pantanal were the biomes with more months susceptible to fire,
with medium to high FR, and concentrated in the dry season (June
to November, May to October and June to September, respectively).
Amazonia, with \∼5 million km2, and Pampas showed minimum
to low FR, with maximum values in August. Mata Atlantica has a
low-medium FR from April to September. This study showed that an
adequately fire use in the land management and agricultural
practices or prescribed fires to minimize fuel to avoid dangerous
forest fires must be applied in different periods for each biome
in order to minimize the FR.",
conference-location = "Vienna, Austria",
conference-year = "07-12 apr.",
language = "en",
targetfile = "EGU2019-17894-1.pdf",
urlaccessdate = "29 mar. 2024"
}