Relationships among fire frequency, rainfall and vegetation patterns in the wet-dry tropics of northern Australia: an analysis based on NOAA-AVHRR data

• Published in: Global ecology and biogeography 2005-09, Vol.14 (5), p.439-454
• Main Authors: Spessa, Allan, McBeth, Bevan, Prentice, Colin
• Format: Article
• Language: English
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Australian wet-dry tropics; Biogeography; Biological and medical sciences; evergreen; fAPAR; fire; Fire ecology; Forest canopy; Forest fires; Fundamental and applied biological sciences. Psychology; General aspects; Grasses; Heathlands; NDVI; NOAA-AVHRR; Rain; rainfall; raingreen; Savannas; Synecology; Vegetation; Woodlands
• ISSN: 1466-822X; 1466-8238; 1466-822X
• DOI: 10.1111/j.1466-822x.2005.00174.x

Aim: To quantify the regional-scale spatio-temporal relationships among rainfall, vegetation and fire frequency in the Australian wet-dry tropics (AWDT). Location: Northern Australia: Cape York Peninsula, central Arnhem, central Kimberly, Einasleigh Uplands, Gulf Fall Uplands and northern Kimberley. Methods: Monthly 'fraction of photosynthetic active radiation absorbed by green vegetation' (fAPAR) was decomposed into monthly evergreen (EG) and monthly raingreen (RG) components using time-series techniques applied to monthly normalized difference vegetation index (NDVI) data from Advanced Very High Resolution Radiometer (AVHRR) imagery. Fire affected areas were independently mapped at the same spatio-temporal resolution from AVHRR imagery. Weather station records were spatially interpolated to create monthly rainfall surfaces. Vegetation structural classes were derived from a digitized map of northern Australian vegetation communities (1:1,000,000). Generalized linear models were used to quantify relationships among the fAPAR, EG and RG signals, vegetation structure, rainfall and fire frequency, for the period November 1996-December 2001. Results: The fAPAR and EG signals are positively correlated with annual rainfall and canopy cover, notably: $EG_{closed forest} > EG_{open heathland} > EG_{open forest} > EG_{woodland} > EG_{open woodland} > EG_{low woodland} > EG_{low open woodland} > EG_{open grassland}$. Vegetation height and fAPAR are positively correlated, excluding the special case of open heathland. The RG signal is highest where intermediate annual rainfall and strong seasonality in rainfall coincide, and is associated with vegetation structure as follows: $RG_{open grassed} > RG_{woodland} > RG_{open forest} > RG_{open heathland} > RG_{low woodland} > RG_{open woodland} > RG_{low open woodland} > RG_{closed forest}$. Monthly RG tracks monthly rainfall. Annual proportion of area burnt (PB) is maximal where high RG coincides with low EG (open grassland, several woodland communities). PB is minimal in vegetation where both RG and EG are low (low open woodland); and in vegetation where EG is high (closed forest, open heathland). Conclusions: The RG-EG scheme successfully reflects digitally mapped tree and grass covers in relation to rainfall. RG-EG patterns are strongly associated with fire frequency patterns. PB is maximal in areas of high RG, where high biomass production during the wet season supports abundant fine fuel during the dry season. PB is