Comparing modelled fire dynamics with charcoal records for the Holocene
An earth system model of intermediate complexity (CLIMate and BiosphERe – CLIMBER-2) and a land surface model (JSBACH), which dynamically represent vegetation, are used to simulate natural fire dynamics through the last 8000 yr. Output variables of the fire model (burned area and fire carbon emissio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-04-01
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| Series: | Climate of the Past |
| Online Access: | http://www.clim-past.net/10/811/2014/cp-10-811-2014.pdf |
| _version_ | 1818562499730997248 |
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| author | T. Brücher V. Brovkin S. Kloster J. R. Marlon M. J. Power |
| author_facet | T. Brücher V. Brovkin S. Kloster J. R. Marlon M. J. Power |
| author_sort | T. Brücher |
| collection | DOAJ |
| description | An earth system model of intermediate complexity (CLIMate and BiosphERe – CLIMBER-2) and a land
surface model (JSBACH), which dynamically represent vegetation, are used to
simulate natural fire dynamics through the last 8000 yr. Output variables of
the fire model (burned area and fire carbon emissions) are used to compare
model results with sediment-based charcoal reconstructions. Several
approaches for processing model output are also tested. Charcoal data are
reported in <i>Z</i>-scores with a base period of 8000–200 BP in order to
exclude the strong anthropogenic forcing of fire during the last two
centuries. The model–data comparison reveals a robust correspondence in fire
activity for most regions considered, while for a few regions, such as
Europe, simulated and observed fire histories show different trends. The
difference between modelled and observed fire activity may be due to the
absence of anthropogenic forcing (e.g. human ignitions and suppression) in
the model simulations, and also due to limitations inherent to modelling fire
dynamics. The use of spatial averaging (or <i>Z</i>-score processing) of model
output did not change the directions of the trends. However, <i>Z</i>-score-transformed
model output resulted in higher rank correlations with the
charcoal <i>Z</i>-scores in most regions. Therefore, while both metrics are
useful, processing model output as <i>Z</i>-scores is preferable to areal
averaging when comparing model results to transformed charcoal records. |
| first_indexed | 2024-12-14T01:04:33Z |
| format | Article |
| id | doaj.art-72df7b9bdb4d4c92a75492cb41840c0a |
| institution | Directory Open Access Journal |
| issn | 1814-9324 1814-9332 |
| language | English |
| last_indexed | 2024-12-14T01:04:33Z |
| publishDate | 2014-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Climate of the Past |
| spelling | doaj.art-72df7b9bdb4d4c92a75492cb41840c0a2022-12-21T23:23:03ZengCopernicus PublicationsClimate of the Past1814-93241814-93322014-04-0110281182410.5194/cp-10-811-2014Comparing modelled fire dynamics with charcoal records for the HoloceneT. Brücher0V. Brovkin1S. Kloster2J. R. Marlon3M. J. Power4Max Planck Institute for Meteorology, Hamburg, GermanyMax Planck Institute for Meteorology, Hamburg, GermanyMax Planck Institute for Meteorology, Hamburg, GermanySchool of Forestry and Environmental Studies, Yale University, New Haven, CT, USANatural History Museum of Utah, Department of Geography, University of Utah, Salt Lake City, UT 84112, USAAn earth system model of intermediate complexity (CLIMate and BiosphERe – CLIMBER-2) and a land surface model (JSBACH), which dynamically represent vegetation, are used to simulate natural fire dynamics through the last 8000 yr. Output variables of the fire model (burned area and fire carbon emissions) are used to compare model results with sediment-based charcoal reconstructions. Several approaches for processing model output are also tested. Charcoal data are reported in <i>Z</i>-scores with a base period of 8000–200 BP in order to exclude the strong anthropogenic forcing of fire during the last two centuries. The model–data comparison reveals a robust correspondence in fire activity for most regions considered, while for a few regions, such as Europe, simulated and observed fire histories show different trends. The difference between modelled and observed fire activity may be due to the absence of anthropogenic forcing (e.g. human ignitions and suppression) in the model simulations, and also due to limitations inherent to modelling fire dynamics. The use of spatial averaging (or <i>Z</i>-score processing) of model output did not change the directions of the trends. However, <i>Z</i>-score-transformed model output resulted in higher rank correlations with the charcoal <i>Z</i>-scores in most regions. Therefore, while both metrics are useful, processing model output as <i>Z</i>-scores is preferable to areal averaging when comparing model results to transformed charcoal records.http://www.clim-past.net/10/811/2014/cp-10-811-2014.pdf |
| spellingShingle | T. Brücher V. Brovkin S. Kloster J. R. Marlon M. J. Power Comparing modelled fire dynamics with charcoal records for the Holocene Climate of the Past |
| title | Comparing modelled fire dynamics with charcoal records for the Holocene |
| title_full | Comparing modelled fire dynamics with charcoal records for the Holocene |
| title_fullStr | Comparing modelled fire dynamics with charcoal records for the Holocene |
| title_full_unstemmed | Comparing modelled fire dynamics with charcoal records for the Holocene |
| title_short | Comparing modelled fire dynamics with charcoal records for the Holocene |
| title_sort | comparing modelled fire dynamics with charcoal records for the holocene |
| url | http://www.clim-past.net/10/811/2014/cp-10-811-2014.pdf |
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