Reconstructions of biomass burning from sediment-charcoal records to improve data-model comparisons - INSU - Institut national des sciences de l'Univers
Article Dans Une Revue Biogeosciences Année : 2016

Reconstructions of biomass burning from sediment-charcoal records to improve data-model comparisons

Jennifer R. Marlon
  • Fonction : Auteur
Ryan Kelly
  • Fonction : Auteur
Mitchell J. Power
  • Fonction : Auteur
Patrick Bartlein
  • Fonction : Auteur
Philip Higuera
  • Fonction : Auteur
Olivier Blarquez
  • Fonction : Auteur
Simon Brewer
  • Fonction : Auteur
Tim Brücher
  • Fonction : Auteur
Angelica Feurdean
Graciela Gil Romera
  • Fonction : Auteur
S. Yoshi Maezumi
  • Fonction : Auteur
Brian Magi
  • Fonction : Auteur
Colin J. Courtney Mustaphi
  • Fonction : Auteur
Tonishtan Zhihai
  • Fonction : Auteur

Résumé

The location, timing, spatial extent, and frequency of wildfires are changing rapidly in many parts of the world, producing substantial impacts on ecosystems, people, and potentially climate. Paleofire records based on charcoal accumulation in sediments enable modern changes in biomass burning to be considered in their long-term context. Paleofire records also provide insights into the causes and impacts of past wildfires and emissions when analyzed in conjunction with other paleoenvironmental data and with fire models. Here we present new 1000-year and 22 000-year trends and gridded biomass burning reconstructions based on the Global Charcoal Database version 3 (GCDv3), which includes 736 charcoal records (57 more than in version 2). The new gridded reconstructions reveal the spatial patterns underlying the temporal trends in the data, allowing insights into likely controls on biomass burning at regional to global scales. In the most recent few decades, biomass burning has sharply increased in both hemispheres but especially in the north, where charcoal fluxes are now higher than at any other time during the past 22 000 years. We also discuss methodological issues relevant to data-model comparisons and identify areas for future research. Spatially gridded versions of the global data set from GCDv3 are provided to facilitate comparison with and validation of global fire simulations.
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insu-03678730 , version 1 (25-05-2022)

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Jennifer R. Marlon, Ryan Kelly, Anne-Laure Daniau, Boris Vannière, Mitchell J. Power, et al.. Reconstructions of biomass burning from sediment-charcoal records to improve data-model comparisons. Biogeosciences, 2016, 13, pp.3225-3244. ⟨10.5194/bg-13-3225-2016⟩. ⟨insu-03678730⟩
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