Comparison of global inventories of CO emissions from biomass burning derived from remotely sensed data

被引:33
作者
Stroppiana, D. [1 ]
Brivio, P. A. [1 ]
Gregoire, J. -M. [2 ]
Liousse, C. [3 ]
Guillaume, B. [3 ]
Granier, C. [4 ,5 ,6 ]
Mieville, A. [4 ]
Chin, M. [5 ]
Petron, G. [6 ,7 ]
机构
[1] CNR IREA, Milan, Italy
[2] European Commiss, JRC, IES, Global Environm Monitoring Unit GEM, Ispra, VA, Italy
[3] Lab Aerol, UMR 5560, Toulouse, France
[4] CNRS, Serv Aeron, Paris, France
[5] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[6] NOAA, Global Monitoring Div, Earth Syst Res Lab, Boulder, CO USA
[7] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
关键词
VEGETATION FIRE; INTERANNUAL VARIABILITY; HIGH-RESOLUTION; SATELLITE DATA; BURNED AREA; AFRICA; FOREST; CARBON; MOPITT; GASES;
D O I
10.5194/acp-10-12173-2010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We compare five global inventories of monthly CO emissions named VGT, ATSR, MODIS, GFED3 and MOPITT based on remotely sensed active fires and/or burned area products for the year 2003. The objective is to highlight similarities and differences by focusing on the geographical and temporal distribution and on the emissions for three broad land cover classes (forest, savanna/grassland and agriculture). Globally, CO emissions for the year 2003 range between 365 Tg CO (GFED3) and 1422 Tg CO (VGT). Despite the large uncertainty in the total amounts, some common spatial patterns typical of biomass burning can be identified in the boreal forests of Siberia, in agricultural areas of Eastern Europe and Russia and in savanna ecosystems of South America, Africa and Australia. Regionally, the largest difference in terms of total amounts (CV > 100%) and seasonality is observed at the northernmost latitudes, especially in North America and Siberia where VGT appears to overestimate the area affected by fires. On the contrary, Africa shows the best agreement both in terms of total annual amounts (CV = 31%) and of seasonality despite some overestimation of emissions from forest and agriculture observed in the MODIS inventory. In Africa VGT provides the most reliable seasonality. Looking at the broad land cover types, the range of contribution to the global emissions of CO is 64-74%, 23-32% and 3-4% for forest, savanna/grassland and agriculture, respectively. These results suggest that there is still large uncertainty in global estimates of emissions and it increases if the comparison is carried by out taking into account the temporal (month) and spatial (0.5 degrees x 0.5 degrees cell) dimensions. Besides the area affected by fires, also vegetation characteristics and conditions at the time of burning should also be accurately parameterized since they can greatly influence the global estimates of CO emissions.
引用
收藏
页码:12173 / 12189
页数:17
相关论文
共 50 条
[41]   Secondary organic aerosol formation from the laboratory oxidation of biomass burning emissions [J].
Lim, Christopher Y. ;
Hagan, David H. ;
Coggon, Matthew M. ;
Koss, Abigail R. ;
Sekimoto, Kanako ;
de Gouw, Joost ;
Warneke, Carsten ;
Cappa, Christopher D. ;
Kroll, Jesse H. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (19) :12797-12809
[42]   Characterization of emissions from burning methyl-bromide-treated crop biomass [J].
Aurell, Johanna ;
Gullett, Brian ;
Helder, Dirk ;
Elleman, Robert .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2022, 72 (06) :581-591
[43]   Does chronic nitrogen deposition during biomass growth affect atmospheric emissions from biomass burning? [J].
Giordano, Michael R. ;
Chong, Joey ;
Weise, David R. ;
Asa-Awuku, Akua A. .
ENVIRONMENTAL RESEARCH LETTERS, 2016, 11 (03)
[44]   A large proportion of North American net ecosystem production is offset by emissions from harvested products, river/stream evasion, and biomass burning [J].
Turner, David P. ;
Jacobson, Andrew R. ;
Ritts, William D. ;
Wang, Weile L. ;
Nemani, Ramakrishna .
GLOBAL CHANGE BIOLOGY, 2013, 19 (11) :3516-3528
[45]   A map of African humid tropical forest aboveground biomass derived from management inventories [J].
Ploton, Pierre ;
Mortier, Frederic ;
Barbier, Nicolas ;
Cornu, Guillaume ;
Rejou-Mechain, Maxime ;
Rossi, Vivien ;
Alonso, Alfonso ;
Bastin, Jean-Francois ;
Bayol, Nicolas ;
Benedet, Fabrice ;
Bissiengou, Pulcherie ;
Chuyong, Georges ;
Demarquez, Benoit ;
Doucet, Jean-Louis ;
Droissart, Vincent ;
Kamdem, Narcisse Guy ;
Kenfack, David ;
Memiaghe, Herve ;
Moses, Libalah ;
Sonke, Bonaventure ;
Texier, Nicolas ;
Thomas, Duncan ;
Zebaze, Donatien ;
Pelissier, Raphael ;
Gourlet-Fleury, Sylvie .
SCIENTIFIC DATA, 2020, 7 (01)
[46]   Analyzing spatial hierarchies in remotely sensed data: Insights from a multilevel model of tropical deforestation [J].
Vance, Colin ;
Iovanna, Rich .
LAND USE POLICY, 2006, 23 (03) :226-236
[47]   The role of biomass burning as derived from the tropospheric CO vertical profiles measured by IAGOS aircraft in 2002-2017 [J].
Petetin, Herve ;
Sauvage, Bastien ;
Parrington, Mark ;
Clark, Hannah ;
Fontaine, Alain ;
Athier, Gilles ;
Blot, Romain ;
Boulanger, Damien ;
Cousin, Jean-Marc ;
Nedelec, Philippe ;
Thouret, Valerie .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (23) :17277-17306
[48]   Prediction and assessment of bark beetle-induced mortality of lodgepole pine using estimates of stand vigor derived from remotely sensed data [J].
Coops, Nicholas C. ;
Waring, Richard H. ;
Wulder, Michael A. ;
White, Joanne C. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (05) :1058-1066
[49]   Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels [J].
Chen, Qi ;
Laurin, Gaia Vaglio ;
Valentini, Riccardo .
REMOTE SENSING OF ENVIRONMENT, 2015, 160 :134-143
[50]   Potential knowledge gain in large-scale simulations of forest carbon fluxes from remotely sensed biomass and height [J].
Bellassen, V. ;
Delbart, N. ;
Le Maire, G. ;
Luyssaert, S. ;
Ciais, P. ;
Viovy, N. .
FOREST ECOLOGY AND MANAGEMENT, 2011, 261 (03) :515-530