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

  • Jennifer R. Marlon
  • , Ryan Kelly
  • , Anne Laure Daniau
  • , Boris Vannière
  • , Mitchell J. Power
  • , Patrick Bartlein
  • , Philip Higuera
  • , Olivier Blarquez
  • , Simon Brewer
  • , Tim Brücher
  • , Angelica Feurdean
  • , Graciela Gil Romera
  • , Virginia Iglesias
  • , S. Yoshi Maezumi
  • , Brian Magi
  • , Colin J.Courtney Mustaphi
  • , Tonishtan Zhihai

Research output: Contribution to journalArticlepeer-review

167 Scopus citations

Abstract

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 22000-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 22000 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.

Original languageEnglish
Pages (from-to)3225-3244
Number of pages20
JournalBiogeosciences
Volume13
Issue number11
DOIs
StatePublished - Jun 3 2016

Funding

We thank PAGES working group support for the GPWG. This research and paper was initiated during the GPWG workshop 2013 held in Franche-Comté and supported by the UMR Chrono-Environnement, the OREAS project, the University of Franche-Comté, and the Région Franche-Comté. Jennifer R. Marlon is supported by NSF grants BCS-1437074 and EF-1241870. Patrick Bartlein and Brian Magi are supported by NSF grant BCS-1437074. Anne-Laure Daniau is supported by the project PICS CNRS 06484. Philip Higuera was supported by NSF grant IIA-0966472. Boris Vannière is supported by the project MISTRALS-PaleoMEX.

FundersFunder number
BCS-1437074, 1437074, 1241870, IIA-0966472, 1440015, 1435744, 0966472, PICS CNRS 06484, EF-1241870, 1436496
Université Bourgogne Franche Comté

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

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