Skip to main content

Advertisement

Log in

Temporal comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from remotely sensed data

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Biomass burning is a large important source of greenhouse gases and atmospheric aerosols, and can contribute greatly to the temporal variations of CO2 emissions at regional and global scales. In this study, we compared four globally gridded CO2 emission inventories from biomass burning during the period of 2002–2011, highlighting the similarities and differences in seasonality and interannual variability of the CO2 emissions both at regional and global scales. The four datasets included Global Fire Emissions Database 4s with small fires (GFED4s), Global Fire Assimilation System 1.0 (GFAS1.0), Fire INventory from NCAR 1.0 (FINN1.0), and Global Inventory for Chemistry-Climate studies-GFED4s (G-G). The results showed that in general, the four inventories presented consistent temporal trend but with large differences as well. Globally, CO2 emissions of GFED4s, GFAS1.0, and G-G all peaked in August with the exception in FINN1.0, which recorded another peak in annual March. The interannual trend of all datasets displayed an overall decrease in CO2 emissions during 2002–2011, except for the inconsistent FINN1.0, which showed a tendency to increase during the considered period. Meanwhile, GFED4s and GFAS1.0 noted consistent agreement from 2002 to 2011 at both global (R 2 > 0.8) and continental levels (R 2 > 0.7). FINN1.0 was found to have the poorest temporal correlations with the other three inventories globally (R 2 < 0.6). The lower estimation in savanna CO2 emissions and higher calculation in cropland CO2 emissions by FINN1.0 from 2002 to 2011 was the primary reason for the temporal differences of the four inventories. Besides, the contributions of the three land covers (forest, savanna, and cropland) on CO2 emissions in each region varied greatly within the year (>80%) but showed small variations through the years (<40%).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Akagi SK, Yokelson RJ, Wiedinmyer C, Alvarado MJ, Reid JS, Karl T, Crounse JD, Wennberg PO (2011) Emission factors for open and domestic biomass burning for use in atmospheric models. Atmos Chem Phys 11:4039–4072

    Article  CAS  Google Scholar 

  • Andreae MO, Merlet P (2001) Emission of trace gases and aerosols from biomass burning. Glob Biogeochem Cycles 15:955–966

    Article  CAS  Google Scholar 

  • Bian H, Chin M, Kawa SR, Duncan B, Arellano A, Kasibhatla P (2007) Sensitivity of global CO simulations to uncertainties in biomass burning sources. J Geophys Res 112:D23308

    Article  Google Scholar 

  • Giglio L, van der Werf GR, Randerson JT, Collatz GJ, Kasibhatla P (2006) Global estimation of burned area using MODIS active fire observations. Atmos Chem Phys 6:957–974

    Article  CAS  Google Scholar 

  • Giglio L, Randerson JT, van der Werf GR (2013) Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4). J Geophys Res 118:317–328

    Article  Google Scholar 

  • Hoelzemann JJ, Schultz MG, Brasseur GP, Granier C, Simon M (2004) Global Wildland Fire Emission Model (GWEM): evaluating the use of global area burnt satellite data. J Geophys Res 109:D14S04

    Article  Google Scholar 

  • Ito A (2011) Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean. Biogeosciences 8:1679–1697

    Article  CAS  Google Scholar 

  • Ito A, Penner JE (2004) Global estimates of biomass burning emissions based on satellite imagery for the year 2000. J Geophys Res 109:D14S05

    Google Scholar 

  • Ito A, Ito A, Akimoto H (2007) Seasonal and interannual variations in CO and BC emissions from open biomass burning in Southern Africa during 1998-2005. Glob Biogeochem Cycles 21:B2011

    Article  Google Scholar 

  • Kaiser JW, Heil A, Andreae MO, Benedetti A, Chubarova N, Jones L, Morcrette JJ, Razinger M, Schultz MG, Suttie M, van der Werf GR (2012) Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 9:527–554

    Article  CAS  Google Scholar 

  • Langenfelds RL, Francey RJ, Pak BC, Steele LP, Lloyd J, Trudinger CM, Allison CE (2002) Interannual growth rate variations of atmospheric CO2 and its δ13C, H2, CH4 and CO between 1992 and 1999 linked to biomass burning. Global Biogeochem Cy 16(3):1048

    Article  Google Scholar 

  • Le Quéré C, Moriarty R, Andrew RM, Canadell JG, Sitch S, Korsbakken JI, Friedlingstein P, Peters GP, Andres RJ, Boden TA, Houghton RA, House JI, Keeling RF, Tans P, Arneth A, Bakker DCE, Barbero L, Bopp L, Chang J, Chevallier F, Chini LP, Ciais P, Fader M, Feely RA, Gkritzalis T, Harris I, Hauck J, Ilyina T, Jain AK, Kato E, Kitidis V, Klein Goldewijk K, Koven C, Landschützer P, Lauvset SK, Lefèvre N, Lenton A, Lima ID, Metzl N, Millero F, Munro DR, Murata A, Nabel JEMS, Nakaoka S, Nojiri Y, O’Brien K, Olsen A, Ono T, Pérez FF, Pfeil B, Pierrot D, Poulter B, Rehder G, Rödenbeck C, Saito S, Schuster U, Schwinger J, Séférian R, Steinhoff T, Stocker BD, Sutton AJ, Takahashi T, Tilbrook B, van der Laan-Luijkx IT, van der Werf GR, van Heuven S, Vandemark D, Viovy N, Wiltshire A, Zaehle S, Zeng N (2015) Global carbon budget 2015. Earth Syst Sci Data 7:349–396

    Article  Google Scholar 

  • Maksyutov S, Takagi H, Valsala VK, Saito M, Oda T, Saeki T, Belikov DA, Saito R, Ito A, Yoshida Y, Morino I, Uchino O, Andres RJ, Yokota T (2013) Regional CO2 flux estimates for 2009-2010 based on GOSAT and ground-based CO2 observations. Atmos Chem Phys 13:9351–9373

    Article  Google Scholar 

  • Mieville A, Granier C, Liousse C, Guillaume B, Mouillot F, Lamarque JF, Grégoire JM, Pétron G (2010) Emissions of gases and particles from biomass burning during the 20th century using satellite data and an historical reconstruction. Atmos Environ 44:1469–1477

    Article  CAS  Google Scholar 

  • Novelli PC, Masarie KA, Lang PM, Hall BD, Myers RC, Elkins JW (2003) Reanalysis of tropospheric CO trends: effects of the 1997-1998 wildfires. J Geophys Res 108(D15):4464

    Article  Google Scholar 

  • Page SE, Siegert F, Rieley JO, Boehm HDV, Jaya A, Limin S (2002) The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature 420:61–65

    Article  CAS  Google Scholar 

  • Randerson JT, Chen Y, van der Werf GR, Rogers BM, Morton DC (2012) Global burned area and biomass burning emissions from small fires. J Geophys Res 117:G04012

    Article  Google Scholar 

  • Shi Y, Yamaguchi Y (2014) A high-resolution and multi-year emissions inventory for biomass burning in Southeast Asia during 2001-2010. Atmos Environ 98:8–16

    Article  CAS  Google Scholar 

  • Shi Y, Sasai T, Yamaguchi Y (2014) Spatio-temporal evaluation of carbon emissions from biomass burning in Southeast Asia during the period 2001-2010. Ecol Model 272:98–115

    Article  CAS  Google Scholar 

  • Shi Y, Matsunaga T, Saito M, Yamaguchi Y, Chen X (2015a) Comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from multiple satellite products. Environ Pollut 206:479–487

    Article  CAS  Google Scholar 

  • Shi Y, Matsunaga T, Yamaguchi Y (2015b) High-resolution mapping of biomass burning emissions in three tropical regions. Environ Sci Technol 49:10806–10814

    Article  CAS  Google Scholar 

  • Shi Y, Matsunaga T, Noda H (2017) Interpreting temporal changes of atmospheric CO2 over fire affected regions based on GOSAT observations. IEEE Geosci Remote Sens Lett 14(1):77–81

    Article  Google Scholar 

  • van der Werf GR, Randerson JT, Collatz GJ, Giglio L, Kasibhatla PS, Arellano AF, Olsen SC, Kasichke E (2004) Continental-scale partitioning of fire emissions during the 1997 to 2001 El Niño/La Niña period. Science 303:73–76

    Article  Google Scholar 

  • van der Werf GR, Dempewolf J, Trigg SN, Randerson JT, Kasibhatla PS, Giglio L, Murdiyarso D, Peters W, Morton DC, Collatz GJ, Dolman AJ, DeFries RS (2008) Climate regulation of fire emissions and deforestation in equatorial Asia. Proc Natl Acad Sci U S A 105:20350–20355

    Article  Google Scholar 

  • van der Werf GR, Randerson JT, Giglio L, Collatz GJ, Mu M, Kasibhatla PS, Morton DC, DeFries RS, Jin Y, van Leeuwen TT (2010) Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009). Atmos Chem Phys 10:11707–11735

    Article  Google Scholar 

  • Wiedinmyer C, Quayle B, Geron C, Belote A, McKenzie D, Zhang X, O’Neill S, Wynne KK (2006) Estimating emissions from fires in North America for air quality modeling. Atmos Environ 40:3419–3432

    Article  CAS  Google Scholar 

  • Wiedinmyer C, Akagi SK, Yokelson RJ, Emmons LK, Al-Saadi JA, Orlando JJ, Soja AJ (2011) The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning. Geosci Model Dev 4:625–641

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the NIES GOSAT-2 project, Japan, and CAS Pioneer Hundred Talents Program, China (Y7S00100CX, Y7S0010030).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yusheng Shi.

Additional information

Responsible editor: Philippe Garrigues

Electronic supplementary material

ESM 1

(DOCX 1881 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, Y., Matsunaga, T. Temporal comparison of global inventories of CO2 emissions from biomass burning during 2002–2011 derived from remotely sensed data. Environ Sci Pollut Res 24, 16905–16916 (2017). https://doi.org/10.1007/s11356-017-9141-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-017-9141-z

Keywords

Navigation