Archibald, SNickless, AGovender, NicolinScholes, RJLehsten, V2010-12-012010-12-012010-11Archibald, S., Nickless, A., Govender, N. et al. 2010. Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data. Global Ecology and Biogeography, Vol. 19, pp 794–8091466-822Xhttp://onlinelibrary.wiley.com/doi/10.1111/j.1466-8238.2010.00568.x/pdfhttp://hdl.handle.net/10204/4580Copyright: 2010 Wiley Blackwell. This is the author's version of the work. The definitive version is published in Global Ecology and Biogeography, Vol. 19, pp 794–809This study investigates inter-annual variability in burnt area in southern Africa and the extent to which climate is responsible for this variation. We compare data from long-term field sites across the region with remotely sensed burnt area data to test whether it is possible to develop a general model.enClimateFiresFuel drynessInter-annual variationSavannahSeasonalityBurnt fire areasGlobal ecologyEcologyBiogeographyArticleArchibald, S., Nickless, A., Govender, N., Scholes, R., & Lehsten, V. (2010). Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data. http://hdl.handle.net/10204/4580Archibald, S, A Nickless, Nicolin Govender, RJ Scholes, and V Lehsten "Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data." (2010) http://hdl.handle.net/10204/4580Archibald S, Nickless A, Govender N, Scholes R, Lehsten V. Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data. 2010; http://hdl.handle.net/10204/4580.TY - Article AU - Archibald, S AU - Nickless, A AU - Govender, Nicolin AU - Scholes, RJ AU - Lehsten, V AB - This study investigates inter-annual variability in burnt area in southern Africa and the extent to which climate is responsible for this variation. We compare data from long-term field sites across the region with remotely sensed burnt area data to test whether it is possible to develop a general model. DA - 2010-11 DB - ResearchSpace DP - CSIR KW - Climate KW - Fires KW - Fuel dryness KW - Inter-annual variation KW - Savannah KW - Seasonality KW - Burnt fire areas KW - Global ecology KW - Ecology KW - Biogeography LK - https://researchspace.csir.co.za PY - 2010 SM - 1466-822X T1 - Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data TI - Climate and the inter-annual variability of fire in southern Africa: a meta-analysis using long-term field data and satellite-derived burnt area data UR - http://hdl.handle.net/10204/4580 ER -