Modelling Relative Fire Sensitivity for Geodiversity Elements

The integration of geodiversity elements and contexts into fire management frameworks remains limited due to a lack of actionable tools for assessing geosite sensitivity. This study addresses this gap by developing and testing a mechanistic model to evaluate soil and lithological fire sensitivity, using a geodiversity database of Tasmanian geosites at various temperature thresholds. Initial results indicate the utility of the approach to distinguish between sensitive and robust geosites, providing a simple delineation between the relative sensitivities of in situ elements. A subsequent iterative approach applied modelled outputs to an existing geosite database, giving coarse indicators of sites with a propensity to be modified by fire. With static inventory, this approach allows decision-makers to develop new risk parameters for the management of burns and wildfires. Geographically complex environments have led to misalignments between geosite boundaries and broader processes, data inaccessibility for remote or offshore sites, and fire as both a destructive and formative agent; these must all be resolved. Future work should consider the necessity of incorporating values, recovery trajectories, and hydrological processes into fire sensitivity assessments. The study concludes with recommendations for refining the model to enhance its utility for fire managers, ultimately contributing to the integration of geodiversity into fire management strategies and geoconservation planning.

Authors

Institutions

Publication Details

Journal
Fire
Published
2025-02-28
DOI
https://doi.org/10.3390/fire8030101
Citations
1
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling Relative Fire Sensitivity for Geodiversity Elements

Melinda McHenry, Ruby O. Hoyland
1 citations
Fire
Fire effects on ecosystems
1.11
article

Modelling Relative Fire Sensitivity for Geodiversity Elements

Melinda McHenry, Ruby O. Hoyland
article en
1 citations

Abstract

The integration of geodiversity elements and contexts into fire management frameworks remains limited due to a lack of actionable tools for assessing geosite sensitivity. This study addresses this gap by developing and testing a mechanistic model to evaluate soil and lithological fire sensitivity, using a geodiversity database of Tasmanian geosites at various temperature thresholds. Initial results indicate the utility of the approach to distinguish between sensitive and robust geosites, providing a simple delineation between the relative sensitivities of in situ elements. A subsequent iterative approach applied modelled outputs to an existing geosite database, giving coarse indicators of sites with a propensity to be modified by fire. With static inventory, this approach allows decision-makers to develop new risk parameters for the management of burns and wildfires. Geographically complex environments have led to misalignments between geosite boundaries and broader processes, data inaccessibility for remote or offshore sites, and fire as both a destructive and formative agent; these must all be resolved. Future work should consider the necessity of incorporating values, recovery trajectories, and hydrological processes into fire sensitivity assessments. The study concludes with recommendations for refining the model to enhance its utility for fire managers, ultimately contributing to the integration of geodiversity into fire management strategies and geoconservation planning.

FireVol. 8(3)
University of Tasmania (AU)
Openalex Percentile: Top 27%
Fire effects on ecosystems
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.