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

Abstract

Wildfires play a key role in the boreal forest carbon cycle 1 , 2 , and models suggest that accelerated burning will increase boreal C emissions in the coming century 3 . However, these predictions may be compromised because brief observational records provide limited constraints to model initial conditions 4 . We confronted this limitation by using palaeoenvironmental data to drive simulations of long-term C dynamics in the Alaskan boreal forest. Results show that fire was the dominant control on C 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 palaeorecord 5 led to simulated C losses of 1.4   kg   C   m −2 (12% of ecosystem C stocks) from 1950 to 2006. In stark contrast, a small net C sink of 0.3   kg   C   m −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 trends 6 and future projections 7 point to increasing fire activity in response to climate warming throughout the biome. Thus, predictions 8 that terrestrial C sinks of northern high latitudes will mitigate rising atmospheric CO 2 may be over-optimistic.