@article {bnh-7977, title = {Bioclimatic drivers of fire severity across the Australian geographical range of giant Eucalyptus forests}, journal = {Journal of Ecology}, year = {2021}, month = {04/2021}, abstract = {

The relationships between productivity, fire frequency and fire severity shape the distribution of plant communities globally. Dry forests are expected to burn frequently and wet forests to burn infrequently. However, the effect of productivity on intensity and severity of wildfire is less consistent and poorly understood. One productive ecosystem where this is especially true is the Australian tall wet Eucalyptus-dominated forest (TWEF), which spans wet areas across the continent. This study aims to characterise how climate shapes the likelihood of low- and high-severity wildfire across Australian TWEF.

We performed a continental-scale analysis of fuels in 48 permanent plots in early-mature stage TWEF across four climate regions in Australia. We estimated fuel loads and measured understorey microclimate. We then obtained historical fire-weather observations from nearby meteorological stations and used fuel moisture and fire behaviour equations to predict the historical frequency with which TWEF could burn and what fire severities were expected. We investigated how this varies across the different TWEF climate regions. Lastly, we validated our approach by remeasuring eight plots that burned unexpectedly post-measurement.

We found that surface fuels in cooler, moister regions were available to burn 1{\textendash}16\ days per year historically, with only low-severity, surface fire possible most of these days: high-severity fire was only possible under rare, extreme fire-weather conditions. However, in warmer, drier regions, fuels were available to burn 23{\textendash}35\ days annually, and high-severity fire was more likely than low-severity fire. Validation showed that we slightly overestimated flame heights, inflating high-severity risk estimates. If we used elevated fuel loads to predict flame heights, however, high-severity fire was more likely than low-severity fire everywhere. Lastly, the likelihood of high-severity fire increased with increasing temperature and worsening fire weather.

Synthesis. Fire activity in early-mature TWEF is limited by climatic constraints on fire weather and availability to burn, with high-severity fire more likely in warmer, drier regions than in cooler, wetter ones. This indicates a particularly worrisome vulnerability to climate change, given TWEF{\textquoteright}s diminished ability to recover from disturbance in a warmer world. The occurrence of both low- and high-severity fire means the fire regimes of TWEF are best described as mixed severity.

}, keywords = {biogeography, Climate change, ecological disturbance, fire ecology, fire severity, macroecology, mixed-severity fires, tall wet Eucalyptus forests}, doi = {https://doi.org/10.1111/1365-2745.13663}, url = {https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2745.13663}, author = {Furlaud, James M. and Lynda Prior and Grant Williamson and David Bowman} } @article {bnh-7907, title = {High-Resolution Estimates of Fire Severity - An Evaluation of UAS Image and LiDAR Mapping Approaches on a Sedgeland Forest Boundary in Tasmania, Australia }, journal = {Fire}, volume = {4}, year = {2021}, month = {03/2021}, chapter = {14}, abstract = {

With an increase in the frequency and severity of wildfires across the globe and resultant changes to long-established fire regimes, the mapping of fire severity is a vital part of monitoring ecosystem resilience and recovery. The emergence of unoccupied aircraft systems (UAS) and compact sensors (RGB and LiDAR) provide new opportunities to map fire severity. This paper conducts a comparison of metrics derived from UAS Light Detecting and Ranging (LiDAR) point clouds and UAS image based products to classify fire severity. A workflow which derives novel metrics describing vegetation structure and fire severity from UAS remote sensing data is developed that fully utilises the vegetation information available in both data sources. UAS imagery and LiDAR data were captured pre- and post-fire over a 300 m by 300 m study area in Tasmania, Australia. The study area featured a vegetation gradient from sedgeland vegetation (e.g., button grass 0.2m) to forest (e.g., Eucalyptus obliqua and Eucalyptus globulus 50m). To classify the vegetation and fire severity, a comprehensive set of variables describing structural, textural and spectral characteristics were gathered using UAS images and UAS LiDAR datasets. A recursive feature elimination process was used to highlight the subsets of variables to be included in random forest classifiers. The classifier was then used to map vegetation and severity across the study area. The results indicate that UAS LiDAR provided similar overall accuracy to UAS image and combined (UAS LiDAR and UAS image predictor values) data streams to classify vegetation (UAS image: 80.6\%; UAS LiDAR: 78.9\%; and Combined: 83.1\%) and severity in areas of forest (UAS image: 76.6\%, UAS LiDAR: 74.5\%; and Combined: 78.5\%) and areas of sedgeland (UAS image: 72.4\%; UAS LiDAR: 75.2\%; and Combined: 76.6\%). These results indicate that UAS SfM and LiDAR point clouds can be used to assess fire severity at very high spatial resolutio

}, keywords = {3D remote sensing, drone, fire severity, fuel structure, Lidar, photogrammetry, RPAS, structure, UAS, vegetation}, doi = {https://doi.org/10.3390/fire4010014}, url = {https://www.mdpi.com/2571-6255/4/1/14/htm}, author = {Samuel Hillman and Bryan Hally and Luke Wallace and Darren Turner and Arko Lucieer and Karin Reinke and Simon Jones} } @article {bnh-8165, title = {Using pre- and post-fire LiDAR to assess the severity of the 2019 Tasmanian bushfires}, number = {698}, year = {2021}, month = {08/2021}, institution = {Bushfire and Natural Hazards CRC}, address = {MELBOURNE}, abstract = {

In January 2019, over 64,000 ha of bushland burned in the Riveaux Road fire in Tasmania{\textquoteright}s southern forests. Most of area burned occurred in tall wet eucalypt forest. These forests are considered to be highly flammable in dry conditions, but fires are infrequent due to the generally cool, wet climate in which they grow. As a result, limited data exists on the behaviour and effects of wildfire in these forests. Prior to these fires, extensive areas of these southern forests have been studied in-depth. In 2014, a large area of the forests that burned were mapped with aerial LiDAR, a remote-sensing technology that can characterise three-dimensional forest structure. Further, in 2016, detailed field-based measurements of fuel load, structure, and hazard were taken at 12 permanent plots which subsequently burned in 2019. Hence, the 2019 fires in Tasmania represent a globally-rare opportunity to characterise the severity of a large wildfire using pre-fire and post-fire data. In October 2019, the Department of Primary Industries, Parks, Water and Environment (DPIPWE) in Tasmania, along with five other BNHCRC end-users and the University of Tasmania, launched a project to use remote-sensing and field-based data to create a detailed case study of the 2019 Riveaux Rd. Fire, and to untangle the drivers of fire severity in tall wet eucalypt forests.\  To do this we (i) remeasured plots to assess tree mortality and changes in fuel loads post fire; (ii) acquired LiDAR data from a transect across a burned buttongrass-forest boundary on the Weld River enabling comparison with pre-fire LiDAR data; (iii) established baseline postfire LiDAR buttongrass-forest boundary transect on the Huon River at Blakes Opening.\  Here we describe the data sets and report some preliminary analyses.

}, keywords = {Bushfire, fire severity, Lidar, post-fire, pre-fire, Tasmania}, issn = {698}, author = {Furlaud, James M. and Arko Lucieer and Scott Foyster and Anna Matala and David Bowman} } @article {bnh-6907, title = {Near infrared spectroscopy as a new fire severity metric}, number = {568}, year = {2020}, month = {05/2020}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

Samples of leaves, twigs and bark representing typical surface fuels from forests and woodlands were systematically heated until combusted under controlled conditions in the laboratory. Change in colour of residue was described using R-conversion of the Munsell colour system and compared to colours generated from near infrared (NIR) scanning. Regardless of the method of heating used, there was very little change in physical properties or colour of residues when heated at low temperatures to 200

{\textdegree}C. Surface fuel samples began to thermally degrade when heated at 300 {\textdegree}C, which was reflected in much darker coloured residues that were mostly uniform in colour for different fuel types when determined from NIR spectroscopy. When surface fuels were combusted at temperatures between 400 and 600 {\textdegree}C, residues were much lighter in colour regardless of the type of fuel burnt. Again, residue colours were more uniform when described using NIR spectroscopy compared to the Munsell colour system, although differences in the consistency of residues (heterogenous production of charred material and ash) were still reflected in variations in shading. In several instances, colours resulting from NIR scans were closer to the actual colour of residues suggesting that it is a more accurate system than colour matching by eye using the Munsell colour system.

This study indicates that there is potential for NIR technology to be used to determine fire severity according to the colour of residue after fire. While the general method of colour matching is not new, the use of NIR spectroscopy can reduce inaccuracies associated with subjective colour matching and poor colour correlation when using some forms of automated colour conversion. As shown, spectroscopic methods such as NIR can also be used to assess chemical changes in fuels during thermal decomposition. This includes quantitative losses of carbon and nitrogen and estimating fire intensity according to the temperature that were required to form a particular residue.

}, keywords = {fire severity, infrared, metrics, spectroscopy}, issn = {568}, author = {Danica Parnell and Bell, Tina and Malcolm Possell} } @article {bnh-7465, title = {Using pre- and post-fire LiDAR to assess the severity of the 2019 Tasmanian bushfires: field survey methods}, number = {620}, year = {2020}, month = {10/2020}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

In January 2019, over 64,000 ha of bushland burned in the Riveaux Road fire in Tasmania{\textquoteright}s southern forests. Most of this burning occurred in tall wet eucalypt forest. These forests are considered to be highly flammable in dry conditions, but fires are infrequent due to the generally cool, wet climate in which they grow. As a result, limited data exists on the behaviour and effects of wildfire in these forests. Prior to these fires, extensive areas of these southern forests have been studied in-depth. In 2014, a large area of the forests that burned were mapped with aerial LiDAR, a remote-sensing technology that can characterise three-dimensional forest structure. Further, in 2016, detailed field-based measurements of fuel load, structure, and hazard were taken at 12 permanent plot which subsequently burned in 2019. Hence, the 2019 fires in Tasmania represent a globally-rare opportunity to characterise the severity of a large wildfire using pre-fire and post-fire data. In October 2019, the Department of Primary Industries, Parks, Water and Environment (DPIPWE) in Tasmania, along with five other BNHCRC end-users and the University of Tasmania, launched a project to do just this, using remote-sensing and field-based data to create a detailed case study of the 2019 Riveaux Rd. Fire, and to untangle the drivers of fire severity in tall wet eucalypt forests.

Here, we present the Methodology this study. We took measurements at the 12 permanent plots that burned, dividing our measurements based on 2 levels of detail, based on the level of detail of the pre-fire measurements. In four plots we took {\textquoteleft}Level 1{\textquoteright} measurements, undertaking an overstorey census over 1 ha, assessing overstorey mortality. In 12 plots, we took {\textquoteleft}Level 2{\textquoteright} measurements, which involved characterising understorey phiognomy, structure fuel load, and fire hazard along 3-4 transects at each plot. For Level 1\&2 measurements we also took numerous fire severity measurements, such as char height and burnt tip diameter.\  We also developed a {\textquoteleft}Level 3{\textquoteright} methodology of mostly qualitative fire severity indices that could be quickly conducted at many sample points across the landscape. quantifying fuel load, structure, mortality, hazard, and fire severity indices such as char height and burnt tip diameter. We also outline the next steps to be taken for this project.

}, keywords = {2019 Tasmania fires, field survey method, fire severity, Lidar}, issn = {620}, author = {Furlaud, James M. and Scott Foyster and David Bowman} } @article {bnh-7344, title = {Variation in Eucalyptus delegatensis post-fire recovery strategies: The Tasmanian subspecies is a resprouter whereas the mainland Australian subspecies is an obligate seeder}, journal = {Forest Ecology and Management}, volume = {473}, year = {2020}, month = {10/2020}, abstract = {

Eucalyptus delegatensis\ is native to the Australian Alps (subsp.\ delegatensis) and montane Tasmania (subsp.\ tasmaniensis).\ Post-fire regeneration mechanisms of the obligate-seeder subspecies on the Australian mainland are well-known, but less is known about the resprouter Tasmanian subspecies. In January 2016, large tracts of\ Eucalyptus delegatensis\ forests in central Tasmania, logged at different intensities, were burnt by low- and high-severity fire. We used statistical modelling to understand how tree survival, vegetative regeneration and seedling recruitment differed according to understorey type, fire severity, logging intensity and tree size (DBH). Fire severity, defined as unburnt, low-severity (fire scarring on the stem and/or lower canopy burnt) and high-severity (full canopy burnt), affected tree survival: 84\% of trees were alive in unburnt transects, compared with 43\% in low-severity transects and 36\% in high-severity transects. Epicormic resprouting was the dominant mode of vegetative recovery, with\ \<\ 1\% of total trees recovering solely by basal resprouting. Fire severity significantly affected epicormic resprouting, with 70\% of live stems resprouting post-fire in low-severity transects and 99\% in high-severity transects, compared with 4\% in unburnt transects. Tree survival was strongly influenced by tree size: in high-severity transects, 24\% of trees with DBH\ \<\ 20\ cm were alive, compared with 88\% of trees with DBH\ >=\ 20\ cm. These differences in survival were primarily because large trees were more likely to resprout epicormically, with epicormic shoots present on 24\% of live trees with DBH\ \<\ 20\ cm, compared with 79\% of live trees with DBH\ >=\ 80\ cm. The strong effect of tree size renders clear-felled forests especially vulnerable to fire during the several decades when all the regenerating trees are small (DBH\ \<\ 20\ cm). Seedling recruitment was uncommon, independent of understorey type and logging intensity, but with higher occurrence on high-severity (54\%) than low-severity (19\%) or unburnt (15\%) transects. When present, seedling densities were typically low: median\ =\ 400 and maximum\ =\ 4{\textperiodcentered}104\ seedlings ha-1. This study highlights that mature forests of\ Eucalyptus delegatensis\ in Tasmania are more resilient (able to return to pre-disturbance conditions) to single high-severity fires than their mainland counterparts, because they can recover more quickly through epicormic resprouting. However, clear-felling reduces this resilience for several decades because it decreases median tree size and, hence, leads to higher post-fire mortality. It is difficult to predict how the Tasmanian subspecies will respond to an increased frequency of high-severity fires associated with a projected warmer and drier climate.

}, keywords = {Clear-felling, Epicormic resprouting, Eucalyptus delegatensis, fire severity, Seedlings, Tasmania, Tree size, Tree survival, Understorey type}, doi = {https://doi.org/10.1016/j.foreco.2020.118292}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0378112720310616}, author = {Dario Rodriguez-Cubillo and Lynda Prior and David Bowman} } @article {bnh-6392, title = {Evolution of an extreme Pyrocumulonimbus-driven wildfire event in Tasmania, Australia}, journal = {Natural Hazards and Earth System Sciences}, year = {2019}, month = {12/2019}, abstract = {

Extreme fires have substantial adverse effects on society and natural ecosystems. Such events can be associated with intense coupling of fire behaviour with the atmosphere, resulting in extreme fire characteristics such as pyrocumulonimbuscloud (pyroCb) development. Concern that anthropogenic climate change is increasing the occurrence of pyroCbs globally is driving more focused research into these meteorological phenomena. Using 6-minute scans from a nearby weather radar, we describe the development of a pyroCb during the afternoon of 4 January 2013 above the Forcett-Dunalley fire in south-eastern Tasmania. We relate storm development to: (1) near-surface weather using the McArthur Forest Fire Danger Index (FFDI), and the C-Haines Index, a measure of the vertical atmospheric stability and dryness both derived from gridded weather reanalysis for Tasmania (BARRA-TA), and (2) a chronosequence of fire severity derived from remote sensing. We show that the pyroCb rapidly developed over a 24-minute period in the afternoon of 4 January, with the cloud top reaching a height of 15 km. The pyroCb was associated with a highly unstable atmosphere (C-Haines 10-11) and Severe-marginally Extreme (FFDI 60-75) near-surface fire weather, and formed over an area of forest that was severely burned (total crown defoliation). We use spatial patterns of elevated fire weather in Tasmania, and fire weather during major runs of large wildfires in Tasmania for the period 2007-2016 to geographically and historically contextualise this pyroCb event. Although the Forcett-Dunalley fire is the only known record of a pyroCb in Tasmania, our results show that eastern and south-eastern Tasmania are prone to the conjunction of high FFDI and C-Haines values that have been associated with pyroCb development. Our findings have implications for fire weather forecasting and wildfire management, and highlight the vulnerability of southeast Tasmania to extreme fire events.

}, keywords = {C-Haines, extreme fire, fire severity, Fire weather, McArthur Forest Fire Danger Index, pyrocumulonimbus, smoke plume injection, Tasmania, wildland fire}, doi = {https://doi.org/10.5194/nhess-2019-354}, url = {https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2019-354/}, author = {Mercy Ndalila and Grant Williamson and Paul Fox-Hughes and Jason J. Sharples and David Bowman} } @conference {bnh-6531, title = {Probability and consequence of post-fire contamination events in a water supply catchment}, booktitle = {AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum}, year = {2019}, month = {12/2019}, publisher = {Australian Institute for Disaster Resilience}, organization = {Australian Institute for Disaster Resilience}, address = {Melbourne}, abstract = {

Large cities around the world source their drinking water from forested catchments, which deliver water that is treatable at minimal costs.

These forests are often prone to wildfire, which tend to increase surface runoff, destabilize soils and trigger increased sediment delivery into water supply systems. The consequences of wildfire for water supply are a significant concern, with the potential for extended periods of water supply disruption, increased water treatment cost, and a demand for catchment restoration and investment in expensive treatment infrastructure. Moreover, with climate change, the likelihood of wildfire is increasing in many forest ecosystems making water supply systems increasingly exposed to post-wildfire contamination.

There are numerous uses for models that predict water quality impacts. On an operational level, models that reveal spatial variation in the erosion susceptibility provide catchment managers with a means to prioritize risk mitigation through fuel reduction or post-wildfire response. In such cases, spatial mapping of erosion risk in a relative sense may be sufficient to provide effective tools for allocating resources and mitigating risk in the areas of the catchment that are most likely to be producing sediment. When developing strategic plans and making decisions about the future management of a water resource, the demands on predictive models increase. For instance, a water supply agency may want to determine if there is a case for upgrading water treatment capability or adjusting the water supply network to reduce the likelihood of water supply interruptions due to wildfires. In this setting, a detailed understanding of risk is required for cost-benefit analysis to inform decisions about such investments.

In this study we are motivated by the need amongst water supply managers to know {\textquoteleft}For how long is it likely that my reservoir will be offline due to contamination by post-wildfire erosion?{\textquoteright}. In addressing this question, we seek to provide the means for developing policy and investment strategies within environmental management frameworks that are underpinned by economics and risk. The specific objective of the study is to model how frequency and magnitude of erosion in headwaters translates to probability and duration of water contamination exceeding treatability thresholds at the water offtake. In this study we only consider sediment in our risk model because treatment facilities are often highly vulnerable to turbidity caused by suspended sediment.

Our paper outlines a parameter-reduction approach whereby empirical transfer functions are used to link a probabilistic model of sediment delivery from burned headwaters and a reservoir hydrodynamic model. With these transfer functions we produce a direct measure of risk (i.e. probability of consequence) and discuss practical questions around potential cost of the wildfire threat to water supply agencies and the capacity for catchment managers to mitigate such costs. Furthermore, we use the model to evaluate how different model components contribute to uncertainty in risk.

Download the full non-peer reviewed research proceedings\ from the Bushfire and Natural Hazards CRC Research Forumhere.

}, keywords = {erosion risk, fire impacts, fire severity, risk management, water supply}, url = {https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/}, author = {Petter Nyman and Peter Yeates and Christoph Langhans and Philip J. Noske and Shane Haydon and Gary J. Sheridan} } @article {bnh-4998, title = {Determining threshold conditions for extreme fire behaviour}, number = {417}, year = {2018}, month = {10/2018}, institution = {Bushfire and Natural Hazards CRC}, abstract = {

Flame spread is an important process in the propagation of bushfires. The likelihood of ignition and combustion rates of fuels are dependent on the type and nature of the heat flux. The majority of previous research has used static heat flux, whereby a consistent heating source is used to ignite samples in a laboratory setting. This is despite the highly dynamic heating regimes typically observed during structural and wildland fires.

}, keywords = {Fire, fire behaviour., fire modelling, fire severity, modelling}, author = {Alex Filkov and Thomas Duff and Trent Penman} } @mastersthesis {bnh-4459, title = {Disaster in Relation to Attachment, Loss, Grief and Recovery: The Marysville Experience.}, year = {2017}, month = {09/2017}, school = {RMIT University}, address = {Melbourne}, abstract = {

The thesis is a study of the post-2009 Black Saturday bushfire community of Marysville. The central research question asks: {\textquoteleft}How did survivors of the Marysville Black Saturday bushfire experience attachment, loss and grief in the post-fire recovery process?{\textquoteright} This informs two specific sub-questions, which are: {\textquoteleft}What were the experiences of Marysville residents in the aftermath of the fire, particularly regarding their sense of attachment, loss and grief?{\textquoteright} and {\textquoteleft}What can we understand about attachment, loss and grief in disaster recovery from their experiences?{\textquoteright}

To answer these questions the research includes my own autoethnographic story utilising the technique of evocative autoethnography to which is integrated the technique of analytical autoethnography, thereby providing a thorough theoretical base for qualitative research and data collection. In addition to the autoethnographic research, further phenomenological and ethnographic data collection and analysis consisted of 18 formal in-depth interviews, 16 semi-formal interviews and 49 informal interviews (a total of 83 interviews), which accounted for about a third of the Marysville population at that time.

The research also involved extensive literature and document collection and review. Heuristic and naturalistic analyses were used to interpret and make sense of the information. Data collection concluded in late 2013; however, analysis, interpretation and member checking continued throughout the project. Findings emerged as two main themes, replete with examples, or illustrations.\ The two themes are:

1. Attachment: the importance of post-disaster attachment behaviour in relation to people, possessions, pets, place and participation (the five Ps) particularly as related to topophilia and solastalgia.\ 

2. Disempowerment: the post-disaster effect upon individuals and the community when they effectively have the ability to make their own decisions removed from them at both micro and macro levels.

Of central importance in this study is the identification of a post-disaster phenomenon I have conceptualised and named as {\textquoteleft}Post-Disaster Attachment Trauma{\textquoteright} (PDAT). This is a new revelation that describes a disruption to the natural processing of early attachment-related human loss and grief responses, particularly regarding initial appraisal and searching behaviours. It results in further trauma which may delay and complicate grieving and recovery for individuals and community alike.

When combined, the findings related to post-disaster attachment behaviour, topophilia, disempowerment, solastalgia and Post-Disaster Attachment Trauma make for a powerful description and compelling explanation of what many Marysville bushfire survivors have experienced.

The research findings make their contribution to knowledge by discovering and explaining elements of individual and collective post-disaster experiences, particularly the role of attachment behaviour in recovery. The findings have implications for individual and collective resilience, recovery and mental health. They will benefit policy makers, therapists, government agencies and non-government organisations in the way they assist post-disaster individuals and communities in the future.

This work is important because perhaps the lessons learned and knowledge gained will benefit future disaster survivors worldwide so they may not have to experience much of what the people of Marysville have struggled with since Black Saturday, 2009.

}, keywords = {Black Saturday, communities, emergency management., fire impact, fire severity}, url = {https://researchbank.rmit.edu.au/eserv/rmit:162288/Barton.pdf}, author = {David Barton} } @article {BF-4272, title = {Environmental assessment of erosion following prescribed burning in the Mount Lofty Ranges, Australia}, journal = {International Journal of Wildland Fire}, year = {2013}, month = {10/2013}, abstract = {Erosion following fire has the potential to affect water quality, alter soil profiles and detrimentally affect human infrastructure. There is a clear need for environmental assessments to have regard for erosion concerns from prescribed burning. This study focussed on 10 prescribed burns conducted in the Southern Mount Lofty Ranges. Generalised additive modelling was used to determine the main significant environmental variables influencing the presence of sediment movement at 505 field-assessed sites. Sediment movement after the 10 prescribed burns was minor. Fire severity was a highly significant environmental determinant for the presence of sediment movement after prescribed burning. To predict erosion concerns, a suite of environmental variables is more reliable than focusing solely on slope steepness, as occurred before this study. These results indicate that erosion assessments need to consider a range of environmental variables to assess potential erosion and that land managers and scientists need to incorporate spatial sampling designs into erosion assessments.}, keywords = {bioturbation, erosion assessment, fire severity, rainfall, sediment movement, slope, topography}, doi = {http://dx.doi.org/10.1071/WF13011}, url = {http://www.publish.csiro.au/paper/WF13011.htm}, author = {Morris, Rowena and Ross Bradstock and Deirdre Dragovich and Henderson, M. K. and Trent Penman and Bertram Ostendorf} }