A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)

Fire is the primary disturbance factor in many terrestrial ecosystems. Wildfire alters vegetation structure and composition, affects carbon storage and biogeochemical cycling, and results in the release of climatically relevant trace gases including CO 2 , CO, CH 4 , NO x , and aerosols. One way of...

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Published in:Geoscientific Model Development
Main Authors: Pfeiffer, M., Spessa, A., Kaplan, J. O.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2013
Subjects:
Online Access:https://oro.open.ac.uk/38599/
https://oro.open.ac.uk/38599/1/gmd-6-643-2013.pdf
https://doi.org/10.5194/gmd-6-643-2013
id ftopenunivgb:oai:oro.open.ac.uk:38599
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spelling ftopenunivgb:oai:oro.open.ac.uk:38599 2023-06-11T04:17:10+02:00 A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0) Pfeiffer, M. Spessa, A. Kaplan, J. O. 2013 application/pdf https://oro.open.ac.uk/38599/ https://oro.open.ac.uk/38599/1/gmd-6-643-2013.pdf https://doi.org/10.5194/gmd-6-643-2013 unknown https://oro.open.ac.uk/38599/1/gmd-6-643-2013.pdf Pfeiffer, M.; Spessa, A. <http://oro.open.ac.uk/view/person/as32873.html> and Kaplan, J. O. (2013). A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0). Geoscientific Model Development, 6(3) pp. 643–685. Journal Item Public PeerReviewed 2013 ftopenunivgb https://doi.org/10.5194/gmd-6-643-2013 2023-05-28T05:50:31Z Fire is the primary disturbance factor in many terrestrial ecosystems. Wildfire alters vegetation structure and composition, affects carbon storage and biogeochemical cycling, and results in the release of climatically relevant trace gases including CO 2 , CO, CH 4 , NO x , and aerosols. One way of assessing the impacts of global wildfire on centennial to multi-millennial timescales is to use process-based fire models linked to dynamic global vegetation models (DGVMs). Here we present an update to the LPJ-DGVM and a new fire module based on SPITFIRE that includes several improvements to the way in which fire occurrence, behaviour, and the effects of fire on vegetation are simulated. The new LPJ-LMfire model includes explicit calculation of natural ignitions, the representation of multi-day burning and coalescence of fires, and the calculation of rates of spread in different vegetation types. We describe a new representation of anthropogenic biomass burning under preindustrial conditions that distinguishes the different relationships between humans and fire among hunter-gatherers, pastoralists, and farmers. We evaluate our model simulations against remote-sensing-based estimates of burned area at regional and global scale. While wildfire in much of the modern world is largely influenced by anthropogenic suppression and ignitions, in those parts of the world where natural fire is still the dominant process (e.g. in remote areas of the boreal forest and subarctic), our results demonstrate a significant improvement in simulated burned area over the original SPITFIRE. The new fire model we present here is particularly suited for the investigation of climate–human–fire relationships on multi-millennial timescales prior to the Industrial Revolution. Article in Journal/Newspaper Subarctic The Open University: Open Research Online (ORO) Geoscientific Model Development 6 3 643 685
institution Open Polar
collection The Open University: Open Research Online (ORO)
op_collection_id ftopenunivgb
language unknown
description Fire is the primary disturbance factor in many terrestrial ecosystems. Wildfire alters vegetation structure and composition, affects carbon storage and biogeochemical cycling, and results in the release of climatically relevant trace gases including CO 2 , CO, CH 4 , NO x , and aerosols. One way of assessing the impacts of global wildfire on centennial to multi-millennial timescales is to use process-based fire models linked to dynamic global vegetation models (DGVMs). Here we present an update to the LPJ-DGVM and a new fire module based on SPITFIRE that includes several improvements to the way in which fire occurrence, behaviour, and the effects of fire on vegetation are simulated. The new LPJ-LMfire model includes explicit calculation of natural ignitions, the representation of multi-day burning and coalescence of fires, and the calculation of rates of spread in different vegetation types. We describe a new representation of anthropogenic biomass burning under preindustrial conditions that distinguishes the different relationships between humans and fire among hunter-gatherers, pastoralists, and farmers. We evaluate our model simulations against remote-sensing-based estimates of burned area at regional and global scale. While wildfire in much of the modern world is largely influenced by anthropogenic suppression and ignitions, in those parts of the world where natural fire is still the dominant process (e.g. in remote areas of the boreal forest and subarctic), our results demonstrate a significant improvement in simulated burned area over the original SPITFIRE. The new fire model we present here is particularly suited for the investigation of climate–human–fire relationships on multi-millennial timescales prior to the Industrial Revolution.
format Article in Journal/Newspaper
author Pfeiffer, M.
Spessa, A.
Kaplan, J. O.
spellingShingle Pfeiffer, M.
Spessa, A.
Kaplan, J. O.
A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
author_facet Pfeiffer, M.
Spessa, A.
Kaplan, J. O.
author_sort Pfeiffer, M.
title A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
title_short A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
title_full A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
title_fullStr A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
title_full_unstemmed A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
title_sort model for global biomass burning in preindustrial time: lpj-lmfire (v1.0)
publishDate 2013
url https://oro.open.ac.uk/38599/
https://oro.open.ac.uk/38599/1/gmd-6-643-2013.pdf
https://doi.org/10.5194/gmd-6-643-2013
genre Subarctic
genre_facet Subarctic
op_relation https://oro.open.ac.uk/38599/1/gmd-6-643-2013.pdf
Pfeiffer, M.; Spessa, A. <http://oro.open.ac.uk/view/person/as32873.html> and Kaplan, J. O. (2013). A model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0). Geoscientific Model Development, 6(3) pp. 643–685.
op_doi https://doi.org/10.5194/gmd-6-643-2013
container_title Geoscientific Model Development
container_volume 6
container_issue 3
container_start_page 643
op_container_end_page 685
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