A5021101556- Fire effects on ecosystems
- Forest ecology and management
- Rangeland and Wildlife Management
- Ecology and Vegetation Dynamics Studies
- Plant Water Relations and Carbon Dynamics
- Forest Ecology and Biodiversity Studies
- Landslides and related hazards
- Atmospheric and Environmental Gas Dynamics
- Fire dynamics and safety research
- Disaster Management and Resilience
- Wildlife Ecology and Conservation
- Climate variability and models
- Aeolian processes and effects
- Remote Sensing and LiDAR Applications
- Tree Root and Stability Studies
- Tree-ring climate responses
- Forest Biomass Utilization and Management
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Forest Management and Policy
- Agroforestry and silvopastoral systems
- Soil erosion and sediment transport
- Tropical and Extratropical Cyclones Research
- Fire Detection and Safety Systems
- Air Quality and Health Impacts
Department of Biodiversity, Conservation and Attractions
2021
Parks and Wildlife Service
2013-2018
San Antonio College
2018
Government of Western Australia
2018
University of Coimbra
2018
Natural Hazards Research Australia
2008-2014
The University of Western Australia
2010
Abstract During the last decades, climate and land use changes led to an increased prevalence of megafires in Mediterranean-type regions (MCRs). Here, we argue that current wildfire management policies MCRs are destined fail. Focused on fire suppression, these largely ignore ongoing warming landscape-scale buildup fuels. The result is a ‘firefighting trap’ contributes fuel accumulation precluding suppression under extreme weather, resulting more severe larger fires. We believe ‘business as...
A shrubland fire behaviour dataset was assembled using data from experimental studies in Australia, New Zealand, Europe and South Africa. The covers a wide range of heathlands species associations vegetation structures. Three models for rate spread are developed 2-m wind speed, reduction factor, elevated dead fuel moisture content either height (with or without live content) bulk density. tested against independent prescribed fires wildfires found to predict within acceptable limits (mean...
Temperature profiles of flames were measured using arrays thermocouples on towers located in experimental bushfires varying intensity, carried out dry eucalypt forest different fuel age and structure. In-fire video flame-front passage time series data from very fine exposed used to estimate the duration main flaming front these fires. Flame temperature at points within flame was found vary with height; maximum greater tall shrub than low sites. A model any height a specific developed. The...
SummaryThe knowledge of a free-burning fire's potential rate spread is critical for safe and effective bushfire control use. A number models predicting the head-fire in various types Australian vegetation have been developed over past 60 years or so since Alan G. McArthur began his pioneering research into behaviour. Most major had more than one model operational These include grassland, shrubland, both dry wet eucalypt forests, pine plantation fuel types. better understanding technical...
Aim The aim of this study was to determine how spatial variation in vegetation type and landscape connectivity influence fire intervals a semi-arid with low relief complex mosaics woodland shrubland vegetation. Location Our focused on 15,500-km2 area relatively undisturbed unmanaged land south-western Australia, referred as the Lake Johnston region. Methods We modelled fire-interval data from 67-year (1940–2006) digital history database using two-parameter Weibull function, tested for...
Reliable and accurate models of the speed a wildfire front as it moves across landscape are essential for timely prediction its propagation, to devise suitable suppression strategies enable effective public warnings. We used data from outdoor experimental fires wildfires derive an empirical model rate fire spread in eucalypt forests applicable broad range behaviour. The modelling analysis logistic non-linear regression coupled with assumed functional forms effect different environmental...
Abstract Declining winter rainfall coupled with recent prolonged drought poses significant risks to water resources and agriculture across southern Australia. While declines over decades are largely consistent modelled climate change scenarios, particularly for southwest Australia, the significance of these is yet be assessed within context long-term hydroclimatic variability. Here, we present a new 668-year (1350–2017 CE) tree-ring reconstruction autumn–winter inland This record reveals...
Fire behaviour prediction requires models of dead fuel moisture that are both accurate and suitable for use operational applications. The paper investigates two methods developing a simple fine model from more complex process-based model. first is table predictions values air temperature, relative humidity, wind speed solar radiation. second reduces the original to single differential equation, which may be used on low-powered computers. tested against output observations case studies in dry...
We develop a method for estimating equilibrium moisture content (EMC) and fuel response time, using data collected Eucalyptus twig litter. The is based on the governing differential equation diffusion of water vapour from fuel, semi-physical formulation EMC (Nelson 1984), change in Gibbs free energy, which estimates as function temperature humidity. then test model Western Australian mallee shrubland Tasmanian buttongrass moorland. This more generally applicable than those described by Viney...
Summary The relationship between woody fuel consumption and fireline intensity was assessed using data collected at controlled fires wildfires in south-western Western Australia, central Victoria south-eastern New South Wales. combined dataset consisted of a range dry eucalypt forests. Fire behaviour varied from slow, self-extinguishing prescribed burns to intense, fast—moving burning under conditions extreme fire danger. Fireline ranged 50 kW m−l <31000 m−1. Woody 31% 100%, generally...