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Fires in Amazonia

  • Luiz E. O. C. Aragão
  • Liana O. Anderson
  • André Lima
  • Egidio Arai
Chapter
Part of the Ecological Studies book series (ECOLSTUD, volume 227)

Abstract

Fire has been used since the first humans arrived in Amazonia; however, it has recently become a widely used instrument for large-scale forest clearance. Patterns of fire incidence in the region have been exacerbated by recent drought events. Understanding temporal and spatial fire patterns as well as their consequences for forest structure, species composition, and the carbon cycle is critical for minimising global change impacts on Amazonian ecosystems and people. In this chapter, we provide an overview of the state of our knowledge on the spatial and temporal patterns of fire incidence in Amazonia, depicting the historical fire usage in the region, their relationship with land use and land cover, and their responses to climate seasonality and droughts. We subsequently focus on the impacts of fire, by quantifying the extent of burnt forests during major droughts and describing the main impacts on forest structure, composition, and carbon stocks. Finally, we present an overview of modelling initiatives for forecasting fire incidence in the region. We conclude by providing a comprehensive view of the processes that influence fire occurrence, potential feedbacks, and impacts in Amazonia. We also highlight how key areas within fire ecology must be improved for a better understanding of the long-term effect of fire on the Amazon forest ‘biome’.

Keywords

Normalise Difference Vegetation Index Forest Fire Carbon Stock Vapour Pressure Deficit Advanced Very High Resolution Radiometer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Luiz E. O. C. Aragão
    • 1
    • 2
  • Liana O. Anderson
    • 1
    • 3
  • André Lima
    • 1
  • Egidio Arai
    • 1
  1. 1.Remote Sensing DivisionNational Institute for Space Research—INPESão José dos CamposBrazil
  2. 2.College of Life and Environmental SciencesUniversity of ExeterExeterUK
  3. 3.Environmental Change InstituteUniversity of OxfordOxfordUK

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