The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model
A process-based fire regime model (SPITFIRE) has been developed, coupled with ecosystem dynamics in the LPJ Dynamic Global Vegetation Model, and used to explore fire regimes and the current impact of fire on the terrestrial carbon cycle and associated emissions of trace atmospheric constituents. The...
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Series: | Biogeosciences |
Online Access: | http://www.biogeosciences.net/7/1991/2010/bg-7-1991-2010.pdf |
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doaj-d905760f1cc74aa685c903af3bae84da2020-11-24T23:43:12ZengCopernicus PublicationsBiogeosciences1726-41701726-41892010-06-01761991201110.5194/bg-7-1991-2010The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based modelK. ThonickeA. SpessaI. C. PrenticeS. P. HarrisonL. DongC. Carmona-MorenoA process-based fire regime model (SPITFIRE) has been developed, coupled with ecosystem dynamics in the LPJ Dynamic Global Vegetation Model, and used to explore fire regimes and the current impact of fire on the terrestrial carbon cycle and associated emissions of trace atmospheric constituents. The model estimates an average release of 2.24 Pg C yr<sup>−1</sup> as CO<sub>2</sub> from biomass burning during the 1980s and 1990s. Comparison with observed active fire counts shows that the model reproduces where fire occurs and can mimic broad geographic patterns in the peak fire season, although the predicted peak is 1–2 months late in some regions. Modelled fire season length is generally overestimated by about one month, but shows a realistic pattern of differences among biomes. Comparisons with remotely sensed burnt-area products indicate that the model reproduces broad geographic patterns of annual fractional burnt area over most regions, including the boreal forest, although interannual variability in the boreal zone is underestimated. http://www.biogeosciences.net/7/1991/2010/bg-7-1991-2010.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
K. Thonicke A. Spessa I. C. Prentice S. P. Harrison L. Dong C. Carmona-Moreno |
spellingShingle |
K. Thonicke A. Spessa I. C. Prentice S. P. Harrison L. Dong C. Carmona-Moreno The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model Biogeosciences |
author_facet |
K. Thonicke A. Spessa I. C. Prentice S. P. Harrison L. Dong C. Carmona-Moreno |
author_sort |
K. Thonicke |
title |
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
title_short |
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
title_full |
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
title_fullStr |
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
title_full_unstemmed |
The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
title_sort |
influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model |
publisher |
Copernicus Publications |
series |
Biogeosciences |
issn |
1726-4170 1726-4189 |
publishDate |
2010-06-01 |
description |
A process-based fire regime model (SPITFIRE) has been developed, coupled with ecosystem dynamics in the LPJ Dynamic Global Vegetation Model, and used to explore fire regimes and the current impact of fire on the terrestrial carbon cycle and associated emissions of trace atmospheric constituents. The model estimates an average release of 2.24 Pg C yr<sup>−1</sup> as CO<sub>2</sub> from biomass burning during the 1980s and 1990s. Comparison with observed active fire counts shows that the model reproduces where fire occurs and can mimic broad geographic patterns in the peak fire season, although the predicted peak is 1–2 months late in some regions. Modelled fire season length is generally overestimated by about one month, but shows a realistic pattern of differences among biomes. Comparisons with remotely sensed burnt-area products indicate that the model reproduces broad geographic patterns of annual fractional burnt area over most regions, including the boreal forest, although interannual variability in the boreal zone is underestimated. |
url |
http://www.biogeosciences.net/7/1991/2010/bg-7-1991-2010.pdf |
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