Determining changes in Eucalyptus litter during decomposition

In the past, several models have been proposed to estimate fuel load, with the single negative exponential model being the most widely used. However, this model requires site specific inputs since forest location (i.e., inland and coastal) can impact the rate and pattern of litterfall. It is not clear how litter decomposition varies according to forest location as a function of bioclimatic conditions. 

This study is using near-infrared spectroscopy (NIRS) technology to analyse and compare the understorey composition and litter chemical composition of litter from inland and coastal forests.

Research has mainly focused on how quickly leaves from the upper part of the forest (overstorey) break down, little is known about the plants and grasses on the forest floor (understorey) and how they affect leaf breakdown. There is a research gap in how plants on the forest floor after a fire add to the layer of leaves and help the forest grow back by releasing nutrients. This research will address the knowledge gap in how different forests, fire patterns and plants on the forest floor affect leaf breakdown, as well as other things like leaf quality and how much fuel builds up.

Through an improved understanding of fire-induced understorey composition and the role it may have on litter decomposition and forest regeneration, the research findings will aid forest managers in predicting the rates of forest recovery and understorey species richness.