Impact of the Arctic Oscillation pattern on interannual forest fire variability in Central Siberia

Balzter, Heiko; George, Charles; Rowland, Clare S.; Jupp, Tim E.; McCallum, Ian; Shvidenko, А.; Nilsson, S.; Сухинин, А. И.; Онучин, А. А.; Schmullius, Christiane

doi:10.1029/2005gl022526

Cited by 78 publications

(87 citation statements)

References 20 publications

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“…The fire return interval has a substantial direct effect on biomass. In 2003, 43.3 TgC were consumed by fire in the SIBERIA-II study region based on the GIS analysis by the IIASA using burned area estimates from [Balzter et al, 2005]. The improved LPJ-DGVM independently agrees with 42.8 TgC.…”

Section: Model Evaluationsupporting

confidence: 53%

“…The fire model embedded in the LPJ-DGVM [Thonicke et al, 2001] uses a statistical approach that does not resolve the interannual variability of fire occurrence, but the simulation of soil moisture taking into account freeze-thaw effects leads to a correct prediction of the mean fire probability (see auxiliary material). In the SIBERIA-II evaluation region, on average 1.2 Mha burned annually from 1992 to 2003 as derived from satellite data [Balzter et al, 2005]. The enhanced LPJ-DGVM calculates 1.5 Mha.…”

Section: Model Evaluationmentioning

confidence: 99%

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Small net carbon dioxide uptake by Russian forests during 1981–1999

Beer

Lucht

Schmullius

et al. 2006

Geophysical Research Letters

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A permafrost‐enhanced biogeochemical process model using observed climate and CO2 data, and satellite‐observed maps of forest composition and density predicts a moderate biomass increment and carbon sink of 74 and 131 Tg carbon per year (TgC/a) in the Russian forests during 1981–1999. The enhanced process model realistically represents ecosystem state in terms of river runoff, area burned by fires, vegetation productivity and biomass, in comparison to monitoring and inventory data. Rising atmospheric CO2 content is found to have been the main cause of the carbon sink. Amounting to 7% of carbon emissions from fossil fuel emissions in Eurasia, our results demonstrate a limited capability of the Russian boreal forest in its current state to compensate anthropogenic carbon emissions.

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Section: Model Evaluationsupporting

confidence: 53%

Section: Model Evaluationmentioning

confidence: 99%

Small net carbon dioxide uptake by Russian forests during 1981–1999

Beer

Lucht

Schmullius

et al. 2006

Geophysical Research Letters

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“…Using measurements of burned forest area in Central Siberia (approx. 79-119 • E, 51-78 • N), Balzter et al (2005) showed that 2002 and 2003 were the two years with the largest fire extent in Central Siberia since 1996. This is the region within our Biomass Burning (BB) East map.…”

Section: Inversion Resultsmentioning

confidence: 99%

Optimal estimation of the surface fluxes of methyl chloride using a 3-D global chemical transport model

et al. 2010

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Abstract. Methyl chloride (CH 3 Cl) is a chlorine-containing trace gas in the atmosphere contributing significantly to stratospheric ozone depletion. Large uncertainties in estimates of its source and sink magnitudes and temporal and spatial variations currently exist. GEIA inventories and other bottom-up emission estimates are used to construct a priori maps of the surface fluxes of CH 3 Cl. The Model of Atmospheric Transport and Chemistry (MATCH), driven by NCEP interannually varying meteorological data, is then used to simulate CH 3 Cl mole fractions and quantify the time series of sensitivities of the mole fractions at each measurement site to the surface fluxes of various regional and global sources and sinks. We then implement the Kalman filter (with the unit pulse response method) to estimate the surface fluxes on regional/global scales with monthly resolution from JanCorrespondence to: X. Xiao

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“…Observations from Indonesia show that fires in drained peatlands were a dominant source of emissions from this region during the 1997-1998 El Niño (Page et al, 2002). Interannual variability (IAV) in boreal fire activity is also large (Amiro et al, 2001;Sukhinin et al, 2004) and may be linked with the Arctic Oscillation (Balzter et al, 2005), ENSO (Hess et al, 2001), temperature anomalies (Balzter et al, 2005;Flannigan et al, 2005), and with human activity (Mollicone et al, 2006). At a global scale, two studies have assessed interannual variability in biomass burning emissions on a global scale using satellite data (Duncan et al, 2003;.…”

Section: G R Van Der Werf Et Al: Interannual Variability In Globalmentioning

confidence: 99%

Interannual variability in global biomass burning emissions from 1997 to 2004

et al. 2006

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Abstract. Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet little is known about its interannual variability or the underlying mechanisms regulating this variability at continental to global scales. Here we investigated fire emissions during the 8 year period from 1997 to 2004 using satellite data and the CASA biogeochemical model. Burned area from 2001-2004 was derived using newly available active fire and 500 m. burned area datasets from MODIS following the approach described by Giglio et al. (2006). ATSR and VIRS satellite data were used to extend the burned area time series back in time through 1997. In our analysis we estimated fuel loads, including organic soil layer and peatland fuels, and the net flux from terrestrial ecosystems as the balance between net primary production (NPP), heterotrophic respiration (R h ), and biomass burning, using time varying inputs of precipitation (PPT), temperature, solar radiation, and satellite-derived fractional absorbed photosynthetically active radiation (fA-PAR). For the 1997-2004 period, we found that on average approximately 58 Pg C year −1 was fixed by plants as NPP, and approximately 95% of this was returned back to the atmosphere via R h . Another 4%, or 2.5 Pg C year −1 was emitted by biomass burning; the remainder consisted of losses from fuel wood collection and subsequent burning. At a global scale, burned area and total fire emissions were largely decoupled from year to year. Total carbon emissions tracked burning in forested areas (including deforestation fires in the tropics), whereas burned area was largely controlled by savanna fires that responded to different environmental and human factors. Biomass burning emissions showed large interannual variability with a range of more than 1 Pg C year −1 , Correspondence to: G. R. van der Werf (guido.van.der.werf@falw.vu.nl) with a maximum in 1998 (3.2 Pg C year −1 ) and a minimum in 2000 (2.0 Pg C year −1 ).

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Impact of the Arctic Oscillation pattern on interannual forest fire variability in Central Siberia

Cited by 78 publications

References 20 publications

Small net carbon dioxide uptake by Russian forests during 1981–1999

Small net carbon dioxide uptake by Russian forests during 1981–1999

Optimal estimation of the surface fluxes of methyl chloride using a 3-D global chemical transport model

Interannual variability in global biomass burning emissions from 1997 to 2004

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