Abstract

Abstract. Fires are intrinsic disturbances in ecosystems functioning and structure in fire-prone biomes. In recent decades there has been an increase in the number of fire events in Brazilian biomes, especially due to misuse of fire in the land use and deforestation. The spatial and temporal pattern fire risk is a important way to understanding the seasonality and intensity of fire in different climate and fuel conditions. However, consistent long-term assessment at biome level is only possible with the support of remote sensing and modeling information. Thus, the objective of this work was to evaluate the fire risk patterns for the Brazilian biomes in the last years (2015–2018), using the new version of INPE’s fire risk (FR, v2). Regarding the temporal and spatial FR patterns by this new version from FR model, we evaluated that elevation and latitude correction factors, as well as the meteorological and land cover datasets with finer spatial scales can be contributed to adjust better the fire season vulnerability, notably in the less prone-biomes, such as Mata Atlantica, Pampa and Pantanal. However, there is still a need for adjustment to match the spatial active fire distribution, considering a biomass (fuel) map and the vegetation water status indicators. These improvements help to inform with more accuracy the most fire prone areas to define the strategies and decisions for fire combat and management.

Highlights

  • Fire is an important component in biosphere-atmosphere interactions due to changes in atmosphere composition, greenhouse gas emissions and the influence on the structure and functioning of various ecosystems (Bond., 2008)

  • In recent decades there has been an increase in the number of active outbreaks and burned areas in Brazilian biomes (INPE, 2019), especially due to the use of fire as a soil management tool, the opening of new agricultural land, deforestation, pasture renewal (Araujo et al, 2012) and due to extreme weather conditions (Aragão et al, 2018)

  • The highest active fires values (HAF) in theses biomes were observed in October for Caatinga (Figure 1b) and in September for Cerrado and Pantanal (Figure 1c-d)

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Summary

Introduction

Fire is an important component in biosphere-atmosphere interactions due to changes in atmosphere composition, greenhouse gas emissions and the influence on the structure and functioning of various ecosystems (Bond., 2008). The inappropriate use of fire has altered its regime, causing enormous socioeconomic and environmental damages. In this regard, an assessment of the potential fire risk on threatened land is a way for making fire combat and management measures and decisions to obtain as little damage as possible. Consistent long-term assessment at biome level is only possible with the support of remote sensing and modeling information. This information allows repetitive integration of satellite data under the same location for time series extraction at this spatial scale level

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