@article {bnh-6905, title = {Detecting the effects of prescribed burning using generalised additive modelling}, number = {566}, year = {2020}, month = {05/2020}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

Data collected from 52 plots from sites in Victoria and New South Wales were used to test whether a simple modelling technique {\textendash} a generalised additive model (GAM) {\textendash} could be used in conjunction with satellite imagery to detect the effect of prescribed burning on the hydrological cycle. Evapotranspiration (ET) was selected as the strongest indicator of a change in forest hydrology given the direct effect of removal of vegetation with fuel reduction burning. Variables included in the ET GAM were site details (location, elevation, aspect, slope), soil properties (total carbon and nitrogen), climate (short-term and long- term rainfall, maximum and minimum daily temperature, solar radiation) and the enhanced vegetation index (EVI), a commonly used spectral product derived from satellite imagery. These variables were used to develop GAMs using sites in each state and combined together. Results from this modelling suggested a change in ET due to prescribed burning was more obvious for sites in Victoria than in NSW. Vegetation (EVI) and climatic variables (solar radiation, df5 and df95) were the best predictors for changes in ET due to prescribed burning activities. Soil (C:N) and terrain variables (slope, aspect, elevation) were not important factors for detecting change in ET. Limitations due to temporal and spatial differences in sampling unburnt and burnt plots and future potential for this method are discussed.

}, keywords = {additive modelling, fire effects, Prescribed burning}, issn = {566}, author = {Mengran Yu and David Pepper and Bell, Tina and Malcolm Possell} } @article {bnh-5619, title = {Modelling emissions from prescribed burning using FULLCAM}, number = {479}, year = {2019}, month = {06/2019}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

The Full Carbon Accounting Model (FullCAM) is a software tool developed by the Australian Government, Department of the Environment and Energy as a standard method for carbon accounting. It is primarily used as a means to report national\ greenhouse gas dynamics from the land sector due to anthropogenic activities. This\ study assessed the accuracy and usefulness of FullCAM in determining the mass of carbon (C) emissions produced from prescribed burning. FullCAM proved to be a simple and reasonably reliable method for estimating C emissions from prescribed burning activities and for tracking recovery of C pools related to forest ecosystems. In addition, C emissions from different prescribed burning scenarios and from wildfire can be easily compared. The FullCAM model can be used by land managers as a means to manage an important aspect of risk associated with planned burning. If land managers are required to perform C accounting activities in the future, the adoption of FullCAM will enable them to be compatible with the national standard of carbon accounting.

}, keywords = {Bushfire, emissions, FullCAM, modelling, Prescribed burning}, issn = {479}, author = {Senani Karunaratne and Malcolm Possell and David Pepper and Bell, Tina} }