Document


Title

Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model
Document Type: Journal Article
Author(s): Chao Yue; Philippe Ciais; Sebastiaan Luyssaert; Patricia Cadule; Jennifer W. Harden; James T. Randerson; Valentin Bellassen; Tao Wang; Shilong L. Piao; Benjamin Poulter; Nicolas Viovy
Publication Year: 2013

Cataloging Information

Keyword(s):
  • boreal forests
  • Canada
  • carbon
  • catastrophic fires
  • disturbance
  • fire management
  • forest management
  • Manitoba
  • Saskatchewan
  • wildfires
Region(s):
Record Maintained By:
Record Last Modified: December 2, 2018
FRAMES Record Number: 52600
Tall Timbers Record Number: 29756
TTRS Location Status: Not in file
TTRS Call Number: Available
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

Stand-replacing fires are the dominant fire type in North American boreal forests. They leave a historical legacy of a mosaic landscape of different aged forest cohorts. This forest age dynamics must be included in vegetation models to accurately quantify the role of fire in the historical and current regional forest carbon balance. The present study adapted the global process-based vegetation model ORCHIDEE to simulate the CO2 emissions from boreal forest fire and the subsequent recovery after a stand-replacing fire; the model represents postfire new cohort establishment, forest stand structure and the self-thinning process. Simulation results are evaluated against observations of three clusters of postfire forest chronosequences in Canada and Alaska. The variables evaluated include: fire carbon emissions, CO2 fluxes (gross primary production, total ecosystem respiration and net ecosystem exchange), leaf area index, and biometric measurements (aboveground biomass carbon, forest floor carbon, woody debris carbon, stand individual density, stand basal area, and mean diameter at breast height). When forced by local climate and the atmospheric CO2 history at each chronosequence site, the model simulations generally match the observed CO2 fluxes and carbon stock data well, with model-measurement mean square root of deviation comparable with the measurement accuracy (for CO2 flux ~ 100 g C m-2 yr-1, for biomass carbon ~ 1000 g C m-2 and for soil carbon ~ 2000 g C m-2). We find that the current postfire forest carbon sink at the evaluation sites, as observed by chronosequence methods, is mainly due to a combination of historical CO2 increase and forest succession. Climate change and variability during this period offsets some of these expected carbon gains. The negative impacts of climate were a likely consequence of increasing water stress caused by significant temperature increases that were not matched by concurrent increases in precipitation. Our simulation results demonstrate that a global vegetation model such as ORCHIDEE is able to capture the essential ecosystem processes in fire-disturbed boreal forests and produces satisfactory results in terms of both carbon fluxes and carbon-stock evolution after fire. This makes the model suitable for regional simulations in boreal regions where fire regimes play a key role in the ecosystem carbon balance. © Authors 2013. CC Attribution 3.0 License. Published by copernicus Publications on behalf of the European Geosciences Union.

Citation:
Yue, C. et al. 2013. Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model. Biogeosciences, v. 10, no. 12, p. 8233-8252. 10.5194/bg-10-8233-2013.