A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model

Li, F.; Zeng, Xiaodong; Levis, Samuel

doi:10.5194/bg-9-2761-2012

Cited by 197 publications

(254 citation statements)

References 69 publications

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“…according to species-specific fractional combustion completeness (CC) values based on those used by Li et al (2012). The 10 remaining non-combusted biomass in leaves, stems, and fine roots is subjected to species-and pool-specific fractional mortality (M ; i.e., transferred to above-or belowground litter), again based on values from Li et al (2012).…”

Section: Fire Effectsmentioning

confidence: 99%

“…Li et al (2012) modeled their equation for the density of lightning ignitions after that elaborated by Prentice and Mackerras (1977). At each time step, ):…”

Section: Number Of Firesmentioning

confidence: 99%

“…f P D → 0.01 as P D → ∞, and f P D = 0.99 where P D = 0, after Li et al (2012). β P D determines the shape of the function between these limits.…”

mentioning

confidence: 99%

“…After Li et al (2012), we set fire duration (d, seconds) to 24 hours (86,400 s). Li et al (2013) also include functions that reduce burned area per fire based on population density and GDP per capita.…”

mentioning

confidence: 99%

“…To calculate the number of ignitions actually becoming fires (N f ire ), the total number of ignitions (A T [I n + I a ], where A T is the area of the tile in km ) is multiplied by five functions that vary from zero to one, representing the suppressive effects of relative humidity (f RH ), soil moisture (f θ ), aboveground biomass (f AGB ), temperature (f T ), and population density (f P D ): Li et al (2012) calculate the effect of relative humidity on number of fires as…”

mentioning

confidence: 99%

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A fire model with distinct crop, pasture, and non-agricultural burning: Use of new data and a model-fitting algorithm for FINALv1

Rabin¹,

Malyshev²,

Magi³

et al. 2017

Preprint

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Abstract. This study describes and evaluates the Fire Including Natural & Agricultural Lands model (FINAL) which, for the first time, explicitly simulates cropland and pasture management fires separately from non-agricultural fires. The nonagricultural fire module uses empirical relationships to simulate burned area in a quasi-mechanistic framework, similar to past fire modeling efforts, but with a novel optimization method that improves the fidelity of simulated fire patterns to new observational estimates of non-agricultural burning. The agricultural fire components are forced with estimates of cropland 5 and pasture fire seasonality and frequency derived from observational land-cover and satellite fire datasets. FINAL accurately simulates the amount, distribution, and seasonal timing of burned cropland and pasture over 2001-2009 (global totals: 0.434

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Section: Fire Effectsmentioning

confidence: 99%

“…Li et al (2012) modeled their equation for the density of lightning ignitions after that elaborated by Prentice and Mackerras (1977). At each time step, ):…”

Section: Number Of Firesmentioning

confidence: 99%

“…f P D → 0.01 as P D → ∞, and f P D = 0.99 where P D = 0, after Li et al (2012). β P D determines the shape of the function between these limits.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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A fire model with distinct crop, pasture, and non-agricultural burning: Use of new data and a model-fitting algorithm for FINALv1

Rabin¹,

Malyshev²,

Magi³

et al. 2017

Preprint

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Smoke consequences of new wildfire regimes driven by climate change

et al. 2014

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Smoke from wildfires has adverse biological and social consequences, and various lines of evidence suggest that smoke from wildfires in the future may be more intense and widespread, demanding that methods be developed to address its effects on people, ecosystems, and the atmosphere. In this paper, we present the essential ingredients of a modeling system for projecting smoke consequences in a rapidly warming climate that is expected to change wildfire regimes significantly. We describe each component of the system, offer suggestions for the elements of a modeling agenda, and provide some general guidelines for making choices among potential components. We address a prospective audience of researchers whom we expect to be fluent already in building some or many of these components, so we neither prescribe nor advocate particular models or software. Instead, our intent is to highlight fruitful ways of thinking about the task as a whole and its components, while providing substantial, if not exhaustive, documentation from the primary literature as reference. This paper provides a guide to the complexities of smoke modeling under climate change, and a research agenda for developing a modeling system that is equal to the task while being feasible with current resources.

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Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area

Poulter

Cadule

Cheiney

et al. 2015

Global Biogeochemical Cycles

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Fire plays an important role in terrestrial ecosystems by regulating biogeochemistry, biogeography, and energy budgets, yet despite the importance of fire as an integral ecosystem process, significant advances remain to improve its prognostic representation in carbon cycle models. To recommend and to help prioritize model improvements, this study investigates the sensitivity of a coupled global biogeography and biogeochemistry model, LPJ, to observed burned area measured by three independent satellite-derived products, GFED v3.1, L3JRC, and GlobCarbon. Model variables are compared with benchmarks that include pantropical aboveground biomass, global tree cover, and CO 2 and CO trace gas concentrations. Depending on prescribed burned area product, global aboveground carbon stocks varied by 300 Pg C, and woody cover ranged from 50 to 73 Mkm 2 . Tree cover and biomass were both reduced linearly with increasing burned area, i.e., at regional scales, a 10% reduction in tree cover per 1000 km 2 , and 0.04-to-0.40 Mg C reduction per 1000 km 2 . In boreal regions, satellite burned area improved simulated tree cover and biomass distributions, but in savanna regions, model-data correlations decreased. Global net biome production was relatively insensitive to burned area, and the long-term land carbon sink was robust,~2.5 Pg C yr À1, suggesting that feedbacks from ecosystem respiration compensated for reductions in fuel consumption via fire. CO 2 transport provided further evidence that heterotrophic respiration compensated any emission reductions in the absence of fire, with minor differences in modeled CO 2 fluxes among burned area products. CO was a more sensitive indicator for evaluating fire emissions, with MODIS-GFED burned area producing CO concentrations largely in agreement with independent observations in high latitudes. This study illustrates how ensembles of burned area data sets can be used to diagnose model structures and parameters for further improvement and also highlights the importance in considering uncertainties and variability in observed burned area data products for model applications.

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A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model

Cited by 197 publications

References 69 publications

A fire model with distinct crop, pasture, and non-agricultural burning: Use of new data and a model-fitting algorithm for FINALv1

A fire model with distinct crop, pasture, and non-agricultural burning: Use of new data and a model-fitting algorithm for FINALv1

Smoke consequences of new wildfire regimes driven by climate change

Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite‐observed burned area

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