Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests

Ryan Kelly, Hélène Genet, A. David McGuire, Feng Sheng Hu

Research output: Contribution to journalArticle

Abstract

Wildfires play a key role in the boreal forest carbon cycle1,2, and models suggest that accelerated burning will increase boreal C emissions in the coming century3. However, these predictionsmay be compromised because brief observational records provide limited constraints to model initial conditions4. We confronted this limitation by using palaeoenvironmental data to drive simulations of long-term C dynamics in the Alaskan boreal forest.Results showthat firewas the dominant control onC cycling over the past millennium, with changes in fire frequency accounting for 84% of C stock variability. A recent rise in fire frequency inferred from the palaeorecord5 led to simulated C losses of 1.4 kg Cm.2 (12% of ecosystem C stocks) from 1950 to 2006. In stark contrast, a small net C sink of 0.3 kg Cm.2 occurred if the past fire regime was assumed to be similar to the modern regime, as is common in models of C dynamics. Although boreal fire regimes are heterogeneous, recent trends6 and future projections7 point to increasing fire activity in response to climate warming throughout the biome. Thus, predictions8 that terrestrial C sinks of northern high latitudes will mitigate rising atmospheric CO2 may be over-optimistic.

Original languageEnglish (US)
Pages (from-to)79-82
Number of pages4
JournalNature Climate Change
Volume6
Issue number1
DOIs
StatePublished - Jan 1 2016

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Social Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Palaeodata-informed modelling of large carbon losses from recent burning of boreal forests'. Together they form a unique fingerprint.

  • Cite this