4.7 Article

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

Journal

BIOGEOSCIENCES
Volume 13, Issue 11, Pages 3225-3244

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/bg-13-3225-2016

Keywords

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Funding

  1. UMR Chrono-Environnement
  2. OREAS project
  3. University of Franche-Comte
  4. Region Franche-Comte
  5. NSF [BCS-1437074, EF-1241870, IIA-0966472]
  6. project PICS CNRS [06484]
  7. project MISTRALS-PaleoMEX
  8. Direct For Biological Sciences [1241870] Funding Source: National Science Foundation
  9. Division Of Behavioral and Cognitive Sci [1436496, 1437074, 1435744] Funding Source: National Science Foundation
  10. Division Of Earth Sciences [1440015] Funding Source: National Science Foundation

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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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