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RESEARCH ARTICLE

Southern African fire regimes as revealed by remote sensing

S. Archibald A B F , R. J. Scholes A B , D. P. Roy C , G. Roberts D and L. Boschetti E
+ Author Affiliations
- Author Affiliations

A Natural Resources and the Environment, Council for Scientific and Industrial Research, PO Box 395, Pretoria 0001, South Africa.

B Animal Plant and Environmental Sciences, University of the Witwatersrand, Private Bag 3, Johannesburg 2050, South Africa.

C Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD 57007, USA.

D King’s College London, Environmental Monitoring and Modelling Research Group, Department of Geography, Strand, London, WC2R 2LS, UK.

E Department of Geography, University of Maryland, 2181 LeFrak Hall, College Park, MD 20740, USA.

F Corresponding author. Email: sarchibald@csir.co.za

International Journal of Wildland Fire 19(7) 861-878 https://doi.org/10.1071/WF10008
Submitted: 8 January 2010  Accepted: 21 April 2010   Published: 5 November 2010

Abstract

Here we integrate spatial information on annual burnt area, fire frequency, fire seasonality, fire radiative power and fire size distributions to produce an integrated picture of fire regimes in southern Africa. The regional patterns are related to gradients of environmental and human controls of fire, and compared with findings from other grass-fuelled fire systems on the globe. The fire regime differs across a gradient of human land use intensity, and can be explained by the differential effect of humans on ignition frequencies and fire spread. Contrary to findings in the savannas of Australia, there is no obvious increase in fire size or fire intensity from the early to the late fire season in southern Africa, presumably because patterns of fire ignition are very different. Similarly, the importance of very large fires in driving the total annual area burnt is not obvious in southern Africa. These results point to the substantial effect that human activities can have on fire in a system with high rural population densities and active fire management. Not all aspects of a fire regime are equally impacted by people: fire-return time and fire radiative power show less response to human activities than fire size and annual burned area.

Additional keywords: burnt area, fire frequency, fire radiative power, fire size, human land use, ignition frequency, vegetation type.


References

Abbadie L, Gignoux J, Le Roux X, Lepage M (Eds) (2006) Lamto: Structure, Functioning, and Dynamics of a Savanna Ecosystem. Ecological Studies 179. (Springer: New York)

Archibald  S, Roy  , DP   (2009) Identifying individual fires from satellite-derived burned area data. In ‘Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009’, vol. 5, pp. III-160–III-163. 10.1109/IGARSS.2009.5417974

Archibald S, Roy DP, van Wilgen BW, Scholes RJ (2009) What limits fire? An examination of the drivers of burnt area in southern Africa. Global Change Biology 15, 613–630.
What limits fire? An examination of the drivers of burnt area in southern Africa.Crossref | GoogleScholarGoogle Scholar |

Archibald  S, Nickless  A, Govender  N, Scholes  R, Lehsten  V (2010) Climate and the interannual variability of fire in southern Africa. Global Ecology and Biogeography. [Published online early]10.1111/J.1466-8238.2010.00568.X

Balshi MS, McGuire A, Duffy P, Flannigan M, Walsh J, Melillo J (2009) Assessing the response of area burn to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach. Global Change Biology 15, 578–600.
Assessing the response of area burn to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach.Crossref | GoogleScholarGoogle Scholar |

Barbosa PM, Stroppiana D, Gregoire JM, Pereira JMC (1999) An assessment of vegetation fire in Africa (1981–1991): burned areas, burned biomass, and atmospheric emissions. Global Biogeochemical Cycles 13, 933–950.
An assessment of vegetation fire in Africa (1981–1991): burned areas, burned biomass, and atmospheric emissions.Crossref | GoogleScholarGoogle Scholar |

Belsky AJ (1992) Effects of grazing, competition, disturbance and fire on species composition and diversity in grassland communities. Journal of Vegetation Science 3, 187–200.
Effects of grazing, competition, disturbance and fire on species composition and diversity in grassland communities.Crossref | GoogleScholarGoogle Scholar |

Bond WJ (2005) Large parts of the world are brown or black: a different view on the ‘green world’ hypothesis. Journal of Vegetation Science 16, 261–266.

Bond WJ, Keeley J (2005) Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends in Ecology & Evolution 20, 387–394.
Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems.Crossref | GoogleScholarGoogle Scholar |

Bond WJ, Midgley GF, Woodward FI (2003) What controls South African vegetation – climate or fire? South African Journal of Botany 69, 7991
What controls South African vegetation – climate or fire?Crossref | GoogleScholarGoogle Scholar |

Booysen  P, Tainton  N (1984) ‘Ecological Effects of Fire in South African Ecosystems.’ Ecological Studies, Vol. 48. (Springer: Berlin)

Boschetti L, Roy DP (2008) Defining a fire year for reporting and analysis of global interannual fire variability. Journal of Geophysical Research 113, G03020
Defining a fire year for reporting and analysis of global interannual fire variability.Crossref | GoogleScholarGoogle Scholar |

Bowman DMJS, Balch JK, Artaxo P, Bond WJ, Carlson JM, Cochrane MA, D’Antonio CM, DeFries RS, Doyle JC, Harrison SP, Johnston FH, Keeley JE, Krawchuk MA, Kull CA, Marston JB, Moritz MA, Prentice IC, Roos CI, Scott AC, Swetnam TW, van der Werf GR, Pyne SJ (2009) Fire in the earth system. Science 324, 481–484.
Fire in the earth system.Crossref | GoogleScholarGoogle Scholar | 19390038PubMed |

Brockett BH, Biggs HC, van Wilgen BW (2001) A patch mosaic burning system for conservation areas in southern African savannas. International Journal of Wildland Fire 10, 169–183.
A patch mosaic burning system for conservation areas in southern African savannas.Crossref | GoogleScholarGoogle Scholar |

Brookman-Amissah J, Hall J, Swaine M, Attakorah J (1980) A re-assessment of a fire protection experiment in north-eastern Ghana savanna. Journal of Applied Ecology 17, 85–99.
A re-assessment of a fire protection experiment in north-eastern Ghana savanna.Crossref | GoogleScholarGoogle Scholar |

Byram  G (1959) Combustion of forest fuels. In ‘Forest Fire: Control and Use’. (Ed. K Davis) pp. 61–89. (McGraw Hill Book Co.: New York)

Cahoon D, Stocks B, Levine J, Cofer W, O’Neill K (1992) Seasonal distribution of African savanna fires. Nature 359, 812–815.
Seasonal distribution of African savanna fires.Crossref | GoogleScholarGoogle Scholar |

CIESIN   (2005) Gridded Population of the World Version 3 (GPWv3): Population Grids. (Columbia University: Palisades, NY) Available at http://sedac.ciesin.columbia.edu/gpw [Verified 20 September 2010]

Cochrane MA, Alencar A, Schulze MD, Souza CMJ, Nepstad DC, Lefebvre P, Davidson EA (1999) Positive feedbacks in the fire dynamic of closed canopy tropical forests. Science 284, 1832–1835.

Crutzen P, Andreae M (1990) Biomass burning in the tropics: impact on atmospheric chemistry and biogeochemical cycles. Science 250, 1669–1678.
Biomass burning in the tropics: impact on atmospheric chemistry and biogeochemical cycles.Crossref | GoogleScholarGoogle Scholar | 17734705PubMed |

Dwyer E, Pinnock S, Gregoire J, Pereira J (2000) Global spatial and temporal distribution of vegetation fire as determined from satellite observations. International Journal of Remote Sensing 21, 1289–1302.
Global spatial and temporal distribution of vegetation fire as determined from satellite observations.Crossref | GoogleScholarGoogle Scholar |

FAO (2005) Global livestock distributions. Available at http://ergodd.zoo.ox.ac.uk/agaagdat/index.htm [Verified 20 September 2010]

Fauria M, Johnson EA (2008) Climate and wildfires in the North American boreal forest. Philosophical Transactions of the Royal Society B. Biological Sciences 363, 2315–2327.

Flannigan MD, Krawchuk MA, de Groot WJ, Wotton BM, Gowman LM (2009) Implications of changing climate for global wildland fire. International Journal of Wildland Fire 18, 483–507.
Implications of changing climate for global wildland fire.Crossref | GoogleScholarGoogle Scholar |

Frost  PGH (1999) Fire in southern African woodlands: origins, impacts, effects, and control. In ‘FAO Meeting on Public Policies Affecting Forest Fires. Proceedings’, 28–30 October 1998, Rome. Food and Agriculture Organization of the United Nations, Forestry Paper 138, pp. 181–205. (Rome)

Giglio L (2007) Characterization of the tropical diurnal fire cycle using VIRS and MODIS observations. Remote Sensing of Environment 108, 407–421.
Characterization of the tropical diurnal fire cycle using VIRS and MODIS observations.Crossref | GoogleScholarGoogle Scholar |

Giglio L, Loboda T, Roy DP, Quayle B, Justice C (2009) An active-fire based burn area mapping algorithm for the MODIS sensor. Remote Sensing of Environment 113, 408–420.
An active-fire based burn area mapping algorithm for the MODIS sensor.Crossref | GoogleScholarGoogle Scholar |

Gignoux J, Clobert J, Menaut J (1997) Alternative fire resistance strategies in savanna trees. Oecologia 110, 576–583.
Alternative fire resistance strategies in savanna trees.Crossref | GoogleScholarGoogle Scholar |

Gill AM (1975) Fire and the Australian flora: a review. Australian Forestry 38, 4–25.

Goldammer  JG (2001) Global forest fire assessment 1990–2000. Food and Agriculture Organization of the United Nations, Forest Resources Assessment Working Paper 055. (Rome)

Govender N, Trollope WSW, van Wilgen BW (2006) The effect of fire season, fire frequency, rainfall and management on fire intensity in savanna vegetation in South Africa. Journal of Applied Ecology 43, 748–758.
The effect of fire season, fire frequency, rainfall and management on fire intensity in savanna vegetation in South Africa.Crossref | GoogleScholarGoogle Scholar |

Hansen M, DeFries R, Townshend J, Carroll M, Cimiceli C, Sohlberg R (2003) Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interactions 7, 1–15.
Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm.Crossref | GoogleScholarGoogle Scholar |

Hely C, Alleaume S, Swap R, Hugart H, Justice C (2003) SAFARI-2000 characterization of fuels, fire behaviour, combustion completeness and emissions from experimental buns in infertile grass savannas in western Zambia. Journal of Arid Environments 54, 381–394.
SAFARI-2000 characterization of fuels, fire behaviour, combustion completeness and emissions from experimental buns in infertile grass savannas in western Zambia.Crossref | GoogleScholarGoogle Scholar |

Hennenberg KJ, Fischer F, Kouadio K, Goetze D, Orthmann B, Linsenmair KE, Jeltsch F, Porembski S (2006) Phytomass and fire occurrence along forest savanna transects in the Comoe National Park, Ivory Coast. Journal of Tropical Ecology 22, 303–311.
Phytomass and fire occurrence along forest savanna transects in the Comoe National Park, Ivory Coast.Crossref | GoogleScholarGoogle Scholar |

Higgins SI, Bond WJ, February EC, Bronn A, Euston-Brown DIW, Enslin B, Govender N, Rademan L, O’Regan S, Potgieter ALF, Scheiter S, Sowry R, Trollope L, Trollope WSW (2007) Effects of four decades of fire manipulation on woody vegetation structure in savanna. Ecology 88, 1119–1125.
Effects of four decades of fire manipulation on woody vegetation structure in savanna.Crossref | GoogleScholarGoogle Scholar | 17536398PubMed |

Hoffmann W (1999) Fire and population dynamics of woody plants in a neotropical savanna: matrix model projections. Ecology 80, 1354–1369.
Fire and population dynamics of woody plants in a neotropical savanna: matrix model projections.Crossref | GoogleScholarGoogle Scholar |

Huffman G, Adler R, Bolvin D, Gu G, Nelkin E, Bowman K, Hong Y, Stocker E, Wolff D (2007) The TRMM multi-satellite precipitation analysis: quasi-global, multi-year combined-sensor precipitation estimates at fine scale. Journal of Hydrometeorology 8, 38–55.
The TRMM multi-satellite precipitation analysis: quasi-global, multi-year combined-sensor precipitation estimates at fine scale.Crossref | GoogleScholarGoogle Scholar |

IGBP (2000) Global Soil Data Products (IGBP-DIS). (CD-ROM) (International Geosphere–Biosphere Programme) Available at http://daac.ornl.gov/SOILS/guides/igbp.html [Verified 20 September 2010]

Karkanas P, Shahack-Gross R, Ayalon A, Bar-Matthews M, Barkai R, Frumkin A, Gopher A, Stiner M (2007) Evidence for habitual use of fire at the end of the Lower Paleolithic: site-formation processes at Qesem Cave, Israel. Journal of Human Evolution 53, 197–212.
Evidence for habitual use of fire at the end of the Lower Paleolithic: site-formation processes at Qesem Cave, Israel.Crossref | GoogleScholarGoogle Scholar | 17572475PubMed |

Kaufman  Y, Remer  L, Ottmar  R, Ward  D, Rong  RL, Kleidman  R, Frase  R, Flynn  L, McDougal  D, Shelton  G (1996) Relationship between remotely sensed fire intensity and rate of emission of smoke: SCAR-C experiment. In ‘Global Biomass Burning’. (Ed. J Levin) pp. 685–696. (MIT Press: Cambridge, MA)

Keeley J (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire 18, 116–126.
Fire intensity, fire severity and burn severity: a brief review and suggested usage.Crossref | GoogleScholarGoogle Scholar |

Kendall  J, Justice  C, Dowty  P, Elvidge  C, Goldammer  J (1997) Remote sensing of fires in southern Africa during the SAFARI 1992 campaign. In ‘Fire in Southern African Savannas’, pp. 89–133. (Witwatersrand University Press: Johannesburg)

Kull  CA (2004) ‘Isle of Fire: the Political Ecology of Landscape Burning in Madagascar.’ (University of Chicago Press: Chicago, IL)

Laris  P (2006) Managing a burned mosaic: a landscape-scale human ecological model of savanna fires in Mali. In ‘Savannas and Dry Forests: Linking People with Nature’, pp. 155–186. (Ashgate Publications: Aldershot, UK)

Markham C (1970) Seasonality of precipitation in the United States. Annals of the Association of American Geographers. Association of American Geographers 60, 593–597.
Seasonality of precipitation in the United States.Crossref | GoogleScholarGoogle Scholar |

Mayaux P, Bartholome E, Fritz S, Belward A (2004) A new land-cover map of Africa for the year 2000. Journal of Biogeography 31, 861–877.
A new land-cover map of Africa for the year 2000.Crossref | GoogleScholarGoogle Scholar |

McCarthy M, Gill AM, Bradstock RA (2001) Theoretical fire-interval distributions. International Journal of Wildland Fire 10, 73–77.
Theoretical fire-interval distributions.Crossref | GoogleScholarGoogle Scholar |

Moritz MA, Moody T, Miles L, Smith M, de Valpine P (2009) The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data. Environmental and Ecological Statistics 16, 271–289.
The fire frequency analysis branch of the pyrostatistics tree: sampling decisions and censoring in fire interval data.Crossref | GoogleScholarGoogle Scholar |

Pellew R (1983) The impacts of elephant, giraffe and fire upon the Acacia tortilis woodlands of the Serengeti. African Journal of Ecology 21, 41–74.
The impacts of elephant, giraffe and fire upon the Acacia tortilis woodlands of the Serengeti.Crossref | GoogleScholarGoogle Scholar |

Phillips J (1930) Fire: its influence on biotic communities and physical factors in South and East Africa. South African Journal of Science 27, 352–367.

Plummer S, Arino O, Simon M, Steffen W (2006) Establishing an Earth observation product service for the terrestrial carbon community: the GLOBCARBON initiative. Mitigation and Adaptation Strategies for Global Change 11, 97–111.
Establishing an Earth observation product service for the terrestrial carbon community: the GLOBCARBON initiative.Crossref | GoogleScholarGoogle Scholar |

Polakow D, Dunne T (1999) Modelling fire-return interval T: stochasticity and censoring in the two-parameter Weibull model. Ecological Modelling 121, 79–102.
Modelling fire-return interval T: stochasticity and censoring in the two-parameter Weibull model.Crossref | GoogleScholarGoogle Scholar |

Randerson JT, Van der Werf GR, Collatz GJ, Giglio L, Still CJ, Kasibhatla P, Miller JB, White JW, DeFries RS, Kasischke ES (2005) Fire emissions from C3 and C4 vegetation and their influence on interannual variability of atmospheric CO2 and δ13CO2. Global Biogeochemical Cycles 19, GB2019
Fire emissions from C3 and C4 vegetation and their influence on interannual variability of atmospheric CO2 and δ13CO2.Crossref | GoogleScholarGoogle Scholar |

Roberts G, Wooster MJ, Perry G, Drake N, Rebelo LM, Dipotso F (2005) Retrieval of biomass combustion rates and totals from fire radiative power observations: application to southern Africa using geostationary SEVIRI imagery. Journal of Geophysical Research 110, D21111

Roberts G, Wooster MJ, Lagoudakis E (2009) Annual and diurnal African biomass burning temporal dynamics. Biogeosciences 6, 849–866.
Annual and diurnal African biomass burning temporal dynamics.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Boschetti L (2009) Southern Africa validation of the MODIS, L3JRC and GlobCarbon burned area products. Transactions on Geoscience and Remote Sensing 47, 1032–1044.
Southern Africa validation of the MODIS, L3JRC and GlobCarbon burned area products.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Jin Y, Lewis PE, Justice CO (2005a) Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data. Remote Sensing of Environment 97, 137–162.
Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Frost PGH, Justice CO, Landmann T, Le Roux JL, Gumbo K, Makungwa S, Dunham K, DuToit R, Mhwandagara K, Zacarias A, Tacheba B, Dube OP, Pereira JMC, Mushove P, Morisette JT, Santhana Vannan SK, Davies D (2005b) The Southern African Fire Network (SAFNet) regional burned area product validation protocol. International Journal of Remote Sensing 26, 4265–4292.
The Southern African Fire Network (SAFNet) regional burned area product validation protocol.Crossref | GoogleScholarGoogle Scholar |

Roy DP, Boschetti L, Justice C, Ju J (2008) The collection 5 MODIS burned area product – Global evaluation by comparison with the MODIS active fire product. Remote Sensing of Environment 112, 3690–3707.
The collection 5 MODIS burned area product – Global evaluation by comparison with the MODIS active fire product.Crossref | GoogleScholarGoogle Scholar |

Russell-Smith J, Yates CP, Whitehead PJ, Smith R, Craig R, Allan GE, Thackway R, Frakes I, Cridland S, Meyer MCP, Gill AM (2007) Bushfires ‘Down Under’: patterns and implications of contemporary Australian landscape burning. International Journal of Wildland Fire 16, 361–377.
Bushfires ‘Down Under’: patterns and implications of contemporary Australian landscape burning.Crossref | GoogleScholarGoogle Scholar |

Scholes RJ, Kendall J, Justice CO (1996) The quantity of biomass burned in southern Africa. Journal of Geophysical Research 101, 23 667–23 676.
The quantity of biomass burned in southern Africa.Crossref | GoogleScholarGoogle Scholar |

Schultz M, Heil A, Hoelzemann J, Spessa A, Thonicke K, Goldammer JG, Held AC, Pereira JMC, van het Bolscher M (2008) Global wildland fire emissions from 1960 to 2000. Global Biogeochemical Cycles 22, GB2002

Smith AMS, Wooster MJ (2005) Remote classification of head and backfire types from MODIS fire radiative power and smoke plume observations. International Journal of Wildland Fire 14, 249–254.
Remote classification of head and backfire types from MODIS fire radiative power and smoke plume observations.Crossref | GoogleScholarGoogle Scholar |

Stambaugh M, Guyette R (2008) Predicting spatio-temporal variability in fire return intervals using a topographic roughness index. Forest Ecology and Management 254, 463–473.
Predicting spatio-temporal variability in fire return intervals using a topographic roughness index.Crossref | GoogleScholarGoogle Scholar |

Stocks BJ, van Wilgen BW, Trollope WSW, McRae DJ, Mason JA, Weirich F, Potgieter ALF (1996) Fuels and fire behaviour dynamics on large-scale savanna fires in Kruger National Park. Journal of Geophysical Research 101, 23 541–23 550.
Fuels and fire behaviour dynamics on large-scale savanna fires in Kruger National Park.Crossref | GoogleScholarGoogle Scholar |

Strauss D, Bednar L, Mees R (1989) Do one percent of forest fires cause ninety-nine percent of the damage? Forest Science 35, 319–328.

Swaine M, Hawthorne W, Orgle T (1992) The effects of fire exclusion on savanna vegetation at Kpong, Ghana. Biotropica 24, 166–172.
The effects of fire exclusion on savanna vegetation at Kpong, Ghana.Crossref | GoogleScholarGoogle Scholar |

Tansey K, Gregoire J-M, Binaghi E, Boschetti L, Brivio PA, Ershov D, Flasse S, Fraser R, Graetz D, Maggi M, Peduzzi P, Pereira J, Silva J, Sousa A, Stroppiana D (2004) A global inventory of burned areas at 1-km resolution for the year 2000 derived from SPOT vegetation data. Climatic Change 67, 345–377.
A global inventory of burned areas at 1-km resolution for the year 2000 derived from SPOT vegetation data.Crossref | GoogleScholarGoogle Scholar |

Trollope WSW, Potgieter ALF (1985) Fire behaviour in the Kruger National Park. African Journal of Range and Forage Science 2, 17–22.

Trollope WSW, Tainton NM (1986) Effect of fire intensity on the grass and bush components of the Eastern Cape thornveld. African Journal of Range and Forage Science 3, 37–42.

van der Werf G, Randerson J, Collatz G, Giglio L, Kasibhatla P, Arellano A, Olsen S, Kasischke E (2004) Continental-scale partitioning of fire emissions during the 1997 to 2001 El Nino/La Nina period. Science 303, 73–76.
Continental-scale partitioning of fire emissions during the 1997 to 2001 El Nino/La Nina period.Crossref | GoogleScholarGoogle Scholar | 14704424PubMed |

van Wilgen  BW, Scholes  , RJ   (1997) The vegetation and fire regimes of southern hemisphere Africa. In ‘Fire in Southern African Savannas: Ecological and Atmospheric Perspectives’. (Eds M Andreae, J Goldammer, K Lindsay) pp. 27–46. (Witwatersrand University Press: Johannesburg)

White F (1983) The vegetation of Africa, a descriptive memoir to accompany the UNESCO/AETFAT/UNSO vegetation map of Africa. Natural Resources Research 20, 1–356.

Williams R, Bradstock RA (2008) Large fires and their ecological consequences: introduction to the special issue. International Journal of Wildland Fire 17, 685–687.
Large fires and their ecological consequences: introduction to the special issue.Crossref | GoogleScholarGoogle Scholar |

Williams RJ, Gill AM, Moore PHR (1998) Seasonal changes in fire behaviour in a tropical savanna in northern Australia. International Journal of Wildland Fire 8, 227–240.
Seasonal changes in fire behaviour in a tropical savanna in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Williams RJ, Cook GD, Gill AM, Moore PHR (1999) Fire regime, fire intensity and tree survival in a tropical savanna in northern Australia. Australian Journal of Ecology 24, 50–59.
Fire regime, fire intensity and tree survival in a tropical savanna in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Wooster MJ, Zhukov B, Oertel D (2003) Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sensing of Environment 86, 83–107.
Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products.Crossref | GoogleScholarGoogle Scholar |

Yates CP, Edwards AC, Russell-Smith J (2008) Big fires and their ecological impacts in Australian savannas: size and frequency matters. International Journal of Wildland Fire 17, 768–781.
Big fires and their ecological impacts in Australian savannas: size and frequency matters.Crossref | GoogleScholarGoogle Scholar |