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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4677

Title: Methods to determine the impact of rainfall on fuels and burned area in southern African savannas
Authors: Archibald, S
Nickless, A
Scholes, RJ
Schulze, R
Keywords: Fire
Grass fuel
Wildland fire
Issue Date: Nov-2010
Publisher: CSIRO PUBLISHING
Citation: Archibald, S, Nickless, A, Scholes, RJ and Schulze, R. 2010. Methods to determine the impact of rainfall on fuels and burned area in southern African savannas. International Journal of Wildland Fire, Vol. 19(6), pp 774-782
Abstract: In southern African savannas, grass production, and therefore the annual extent of fire, is highly dependent on rainfall. This response has repeatedly been noted in the literature but authors used different input variables and modelling approaches and the results are not comparable. Using long-term fire occurrence data from six protected areas in southern Africa we tested various methods for determining the relationship between antecedent rainfall and burned area. The types of regression model, the most appropriate index of accumulated rainfall, and the period over which to calculate annual burned area were all investigated. The importance of accumulating rainfall over more than one growing season was verified in all parks – improving the accuracy of the models by up to 30% compared with indices that only used the previous year’s rainfall. Up to 56% of the variance in burned area between years could be explained by an 18-month accumulated rainfall index. Linear models and probit models performed equally well. The method suggested in this paper can be applied across southern Africa. This will improve our understanding of the drivers of interannual variation in burned area in this globally important fire region.
Description: Copyright: 2010 CSIRO PUBLISHING. This is the author's version of the work. The definitive version is published in the International Journal of Wildland Fire, Vol. 19(6), pp 774-782
URI: www.publish.csiro.au/journals/ijwf
http://hdl.handle.net/10204/4677
Appears in Collections:Climate change
Ecosystems processes & dynamics
General science, engineering & technology

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