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Great Western Woodlands Visual Fuel Hazard Assessment Across Time Since Fire Chronosequence Data 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 111 times
Accessed 8 times
Dataset Created: 2012-01-07
Dataset Published: 2023-04-19
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPGWW_visual_fuel_hazard_assessment_dataHTTPGWW_visual_fuel_hazard_assessment_data_dictionaryHTTPro-crate-metadata.json
How to cite this collection:
Gosper, C., Prober, S. & Yates, C. (2023). Great Western Woodlands Visual Fuel Hazard Assessment Across Time Since Fire Chronosequence Data. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/7qs4-2g91 
This data contains the visual assessment of fuel layers in fire-sensitive Eucalyptus salubris woodlands using Vesta methods across 24 sites in a multi-century (10 to 260+ years since fire) time-since-fire sequence derived from growth ring-size relationships. 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 
Purpose
Understanding fire behaviour and vegetation flammability is important for predicting the consequences of fires. Visual assessments of fuel, such as those developed in Project Vesta, have been widely applied to facilitate rapid data acquisition to support fire behaviour models. However, the accuracy and potential wider application to other plant communities of Vesta visual fuel assessments has received limited attention. The Great Western Woodlands (GWW) region of south-western Australia supports the world’s largest remaining area of Mediterranean-climate woodland, which in mosaic with mallee, shrublands and salt lakes cover an area of 160 000 km2. Eucalyptus woodlands in this region are typically fire-sensitive, and fire return intervals recorded over recent decades have been much shorter than the long-term average. This has led to considerable conservation concern regarding the loss of mature woodlands, and has highlighted a need to better understand how fuel and vegetation flammability changes with time since fire. 
Lineage
Following the methodology of Project Vesta (Gould JS, McCaw WL, Cheney NP, Ellis PF, Knight IK, Sullivan AL (2007a) ‘Project Vesta – Fire in dry Eucalypt forest: fuel structure, fuel dynamics and fire behaviour.’ (Ensis-CSIRO: Canberra and Department of Environment and Conservation: Perth)), ~300 m long transects were established passing through a 24 plots in fire-sensitive Eucalyptus salubris woodlands. At ~30 m intervals, sampling points were established (n = 10 per site) and visual assessment of the height or depth, percentage cover score (PCS) and fuel hazard score (FHS) for Surface, Near-surface, Elevated, Intermediate (within a 5 m radius of the sample point) and Canopy (within 10 m of the sample point) fuel layers. PCS and FHS numerically characterise the fuel layers through visually estimated categorical scores over the range from 0 to 5. Further information on delineation of vegetation layers and scoring PCS and FHS can be found in Gould et al. 2007a (Gould JS, McCaw WL, Cheney NP, Ellis PF, Knight IK, Sullivan AL (2007a) ‘Project Vesta – Fire in dry Eucalypt forest: fuel structure, fuel dynamics and fire behaviour.’ (Ensis-CSIRO: Canberra and Department of Environment and Conservation: Perth) and Gosper et al. 2014 (Gosper CR, Yates CJ, Prober SM and Wiehl G (2014) Application and validation of visual fuel hazard assessments in dry Mediterranean-climate woodlands. International Journal of Wildland Fire 23, 385-393). Vegetation layer heights over 4 m were measured using a hypsometer (Nikon Forestry 550). Following a trial assessment, some tailoring of the Vesta assessment protocols to the study community was required: namely litter depth was assessed in the discrete patches of litter, rather than averaged across the whole Surface layer which often had large areas with no litter cover; and fuel layers consisting solely of fire-killed vegetation or rare, emergent Eucalyptus salmonophloia (which sometimes survive fires) were recorded separately from other vegetation layers and are excluded from the data contained here. Following Gould et al. 2007b (Gould JS, McCaw WL, Cheney NP, Ellis PF, Matthews S (2007b) ‘Field guide – Fuel assessment and fire behaviour prediction in dry eucalypt forest.’ (Ensis-CSIRO: Canberra and Department of Environment and Conservation: Perth)), the mean of the 10 values per site was taken. 
Method DocumentationGould JS, McCaw WL, Cheney NP, Ellis PF, Knight IK, Sullivan AL (2007a) ‘Project Vesta – Fire in dry Eucalypt forest: fuel structure, fuel dynamics and fire behaviour.’ (Ensis-CSIRO: Canberra and Department of Environment and Conservation: Perth)
Procedure StepsData not provided.
The Great Western Woodlands site was established in 2012 on Credo Station, 110 km NNW of Kalgoorlie, WA.
Temporal Coverage
From 2012-01-07 to 2012-01-12 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Ecology
Fire ecology
Forest ecosystems
Forestry fire management
Forestry management and environment
Terrestrial ecology
GCMD Sciences
BIOSPHERE - ECOSYSTEMS
BIOSPHERE - FIRE DISTURBANCE
BIOSPHERE - FIRE ECOLOGY
BIOSPHERE - TERRESTRIAL ECOSYSTEMS
BIOSPHERE - VEGETATION
Horizontal Resolution
500 meters - < 1 km
Instruments
Nikon Forestry 550 hypsometer
Parameters
latitude
longitude
mean plant fuel cover
plant fuel height
Platforms
Great Western Woodlands
Temporal Resolution
one off
Topic
biota
environment
User Defined
Ecological fire management
Fire interval
Great Western Woodlands
GWW
Project Vesta
Space-for-time
Vegetation structure
Author
Gosper, Carl
Co-Author
Prober, Suzanne Mary
Yates, Colin
Contact Point
Gosper, Carl
Publisher
Terrestrial Ecosystem Research Network
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Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 
Please note: This data has been migrated “as is” from TERN’s SuperSite data portal. Minimal quality assessment has been applied to this data. Please contact the dataset authors for queries regarding the data 

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