Influence of tree species on continental differences in boreal fires and climate feedbacks

Rogers, Brendan M.; Soja, A. J.; Goulden, Michael L.; Randerson, James T.

doi:10.1038/ngeo2352

Cited by 381 publications

(384 citation statements)

References 43 publications

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“…Many studies have shown continental differences within biogeographical regions, including species richness (Barthlott et al, 2007;Kreft and Jetz, 2007), total biomass Baccini et al, 2012;Banin et al, 2014;Thurner et al, 2014), and fire behavior (Lehmann et al, 2014;Rogers et al, 2015). Some of the most evident differences regarding vegetation behavior to fire were addressed with the inclusion of the regional GlobCover map to account for needle-leaved deciduous trees (Larix) in Asia (fuelbeds with land covers 92, 102, 112 and 122), and with the creation of specific fuelbeds for Australia with Eucalyptus vegetation (land covers 43, 113, 123 and 133).…”

Section: Fuelbed Mapmentioning

confidence: 99%

Generation of a global fuel data set using the Fuel Characteristic Classification System

Pettinari

Chuvieco

2016

Biogeosciences

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Abstract. This study presents the methods for the generation of the first global fuel data set, containing all the parameters required to be input in the Fuel Characteristic Classification System (FCCS). The data set was developed from different spatial variables, both based on satellite Earth observation products and fuel databases, and is comprised by a global fuelbed map and a database that includes the parameters of each fuelbed that affect fire behavior and effects. A total of 274 fuelbeds were created and parameterized, and can be input into FCCS to obtain fire potentials, surface fire behavior and carbon biomass for each fuelbed.We present a first assessment of the fuel data set by comparing the carbon biomass obtained from our FCCS fuelbeds with the average biome values of four other regional or global biomass products. The results showed a good agreement both in terms of geographical distribution and biomass loads when compared to other biomass data, with the best results found for tropical and boreal forests (Spearman's coefficient of 0.79 and 0.77).This global fuel data set may be used for a varied range of applications, including fire danger assessment, fire behavior estimations, fuel consumption calculations and emissions inventories.

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Section: Fuelbed Mapmentioning

confidence: 99%

Generation of a global fuel data set using the Fuel Characteristic Classification System

Pettinari

Chuvieco

2016

Biogeosciences

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“…Fire is the most important type of disturbance and as such is a key driver of vegetation dynamics (Bond et al, 2005), both in terms of succession and in maintaining fire-adapted ecosystems (Furley et al, 2008;Staver et al, 2011;Hirota et al, 2011;Rogers et al, 2015). Fires play an essential role in ecosystem functioning, species diversity, plant community structure and carbon storage.…”

Section: Introductionmentioning

confidence: 99%

The status and challenge of global fire modelling

et al. 2016

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Abstract. Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model fire regimes, using either well-founded empirical relationships or process-based models with good predictive skill. While a large variety of models exist today, it is still unclear which type of model or degree of complexity is required to model fire adequately at regional to global scales. This is the central question underpinning the creation of the Fire Model Intercomparison Project (FireMIP), an international initiative to compare and evaluate existing global fire models against benchmark data sets for present-day and historical conditions. In this paper we review how fires have been represented in fire-enabled dynamic global vegetation models (DGVMs) and give an overview of the current state of the art in fire-regime modelling. We indicate which challenges still remain in global fire modelling and stress the need for a comprehensive model evaluation and outline what lessons may be learned from FireMIP.

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“…They argue that the vegetation-climate disequilibrium is related to the combined effects of permafrost persistence, distant glacial refugia, and fire . Accordingly, the spatial and temporal complexity of biome distributions may be strongly influenced by the interaction of the various driving forces and associated feedback mechanisms (Abaimov et al 2002;Tchebakova et al 2009;Rogers et al 2015). The vegetation responses to future climate changes are likely to be characterised by feedback mechanisms that result in vegetation-climate disequilibrium at both leading and trailing edges of those changes, as represented, for example, by lags in migration and delayed local extinctions, respectively (Svenning and Sandel 2013).…”

Section: Introductionmentioning

confidence: 99%

Biome changes and their inferred climatic drivers in northern and eastern continental Asia at selected times since 40 cal ka bp

Tian

Cao²,

Dallmeyer

et al. 2017

Veget Hist Archaeobot

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Recent global warming is pronounced in high-latitude regions (e.g. northern Asia), and will cause the vegetation to change. Future vegetation trends (e.g. the "arctic greening") will feed back into atmospheric circulation and the global climate system. Understanding the nature and causes of past vegetation changes is important for predicting the composition and distribution of future vegetation communities. Fossil pollen records from 468 sites in northern and eastern Asia were biomised at selected times between 40 cal ka bp and today. Biomes were also simulated using a climate-driven biome model and results from the two approaches compared in order to help understand the mechanisms behind the observed vegetation changes. The consistent biome results inferred by both approaches reveal that long-term and broad-scale vegetation patterns reflect globalto hemispheric-scale climate changes. Forest biomes increase around the beginning of the late deglaciation, become more widespread during the early and middle Holocene, and decrease in the late Holocene in fringe areas of the Asian Summer Monsoon. At the southern and southwestern margins of the taiga, forest increases in the early Holocene and shows notable species succession, which may have been caused by winter warming at ca. 7 cal ka bp. At the northeastern taiga margin (central Yakutia and northeastern Siberia), shrub expansion during the last deglaciation appears to prevent the permafrost from thawing and hinders the northward expansion of evergreen needle-leaved species until ca. 7 cal ka bp. The vegetationclimate disequilibrium during the early Holocene in the taiga-tundra transition zone suggests that projected climate warming will not cause a northward expansion of evergreen needle-leaved species.

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Influence of tree species on continental differences in boreal fires and climate feedbacks

Cited by 381 publications

References 43 publications

Generation of a global fuel data set using the Fuel Characteristic Classification System

Generation of a global fuel data set using the Fuel Characteristic Classification System

The status and challenge of global fire modelling

Biome changes and their inferred climatic drivers in northern and eastern continental Asia at selected times since 40 cal ka bp

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