Climate change and long-term fire management impacts on Australian savannas

New Phytol. 2015 Feb;205(3):1211-1226. doi: 10.1111/nph.13130. Epub 2014 Nov 12.

Abstract

Tropical savannas cover a large proportion of the Earth's land surface and many people are dependent on the ecosystem services that savannas supply. Their sustainable management is crucial. Owing to the complexity of savanna vegetation dynamics, climate change and land use impacts on savannas are highly uncertain. We used a dynamic vegetation model, the adaptive dynamic global vegetation model (aDGVM), to project how climate change and fire management might influence future vegetation in northern Australian savannas. Under future climate conditions, vegetation can store more carbon than under ambient conditions. Changes in rainfall seasonality influence future carbon storage but do not turn vegetation into a carbon source, suggesting that CO₂ fertilization is the main driver of vegetation change. The application of prescribed fires with varying return intervals and burning season influences vegetation and fire impacts. Carbon sequestration is maximized with early dry season fires and long fire return intervals, while grass productivity is maximized with late dry season fires and intermediate fire return intervals. The study has implications for management policy across Australian savannas because it identifies how fire management strategies may influence grazing yield, carbon sequestration and greenhouse gas emissions. This knowledge is crucial to maintaining important ecosystem services of Australian savannas.

Keywords: Australia; CO2 fertilization; adaptive dynamic global vegetation model (aDGVM); carbon sequestration; climate change; fire; management; savanna.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Africa
  • Australia
  • Biomass
  • Climate Change*
  • Computer Simulation
  • Conservation of Natural Resources*
  • Fires*
  • Grassland*
  • Models, Theoretical
  • Plant Transpiration / physiology
  • Rivers
  • Time Factors
  • Trees / anatomy & histology