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Titel |
Improved simulation of fire–vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1) |
VerfasserIn |
D. I. Kelley, S. P. Harrison, I. C. Prentice |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 7, no. 5 ; Nr. 7, no. 5 (2014-10-16), S.2411-2433 |
Datensatznummer |
250115741
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Publikation (Nr.) |
copernicus.org/gmd-7-2411-2014.pdf |
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Zusammenfassung |
The Land surface Processes and eXchanges (LPX) model is
a fire-enabled dynamic global vegetation model that performs well
globally but has problems representing fire regimes and vegetative
mix in savannas. Here we focus on improving the fire module. To
improve the representation of ignitions, we introduced a reatment
of lightning that allows the fraction of ground strikes to vary
spatially and seasonally, realistically partitions strike
distribution between wet and dry days, and varies the number of
dry days with strikes. Fuel availability and moisture content were
improved by implementing decomposition rates specific to individual
plant functional types and litter classes, and litter drying rates
driven by atmospheric water content. To improve water extraction by
grasses, we use realistic plant-specific treatments of deep
roots. To improve fire responses, we introduced adaptive bark
thickness and post-fire resprouting for tropical and temperate
broadleaf trees. All improvements are based on extensive analyses of
relevant observational data sets. We test model performance for
Australia, first evaluating parameterisations separately and then
measuring overall behaviour against standard benchmarks. Changes to
the lightning parameterisation produce a more realistic simulation
of fires in southeastern and central Australia. Implementation of
PFT-specific decomposition rates enhances performance in central
Australia. Changes in fuel drying improve fire in northern
Australia, while changes in rooting depth produce a more realistic
simulation of fuel availability and structure in central and
northern Australia. The introduction of adaptive bark thickness and
resprouting produces more realistic fire regimes in Australian savannas.
We also show that the model simulates biomass recovery rates consistent with
observations from several different regions of the world characterised by
resprouting vegetation. The new model (LPX-Mv1) produces an improved
simulation of observed vegetation composition and mean annual burnt area, by
33 and 18% respectively compared to LPX. |
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