Fire ecology database for documenting plant responses to fire events in Australia

An understanding of fire-response traits is essential for predicting how fire regimes structure plant communities and for informing fire management strategies for biodiversity conservation. Quantification of these traits is complex, encompassing several levels of data abstraction scaling up from field observations of individuals, to general categories of species responses. We developed the Fire Ecology Database to accommodate this complexity. Its conceptual framework is underpinned by a flexible data pipeline enabling links between fire-related trait data and event information at individual, population, and community levels. Key features include: (a) concise and documented trait and method vocabularies; (b) documented uncertainty in observations and aggregation; and (c) documented origin of data including field observations, laboratory experiments, and expert elicitation. We demonstrated application of our framework using data from new field surveys and existing data sets in New South Wales, Australia. The database includes 14 traits for 6,287 plant species derived from 8,936 field work records from 2007 to 2018, 7,054 field records from surveys after 2019, and 48,306 records from 301 existing sources.

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Publication Details

Journal
Scientific Data
Published
2025-03-07
DOI
https://doi.org/10.1038/s41597-025-04705-6
Citations
2
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
2.21
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article

Fire ecology database for documenting plant responses to fire events in Australia

José R. Ferrer‐Paris, Tony D. Auld, Mark G. Tozer, William K. Cornwell et al.
2 citations
Scientific Data
Fire effects on ecosystems
2.21
article

Fire ecology database for documenting plant responses to fire events in Australia

José R. Ferrer‐Paris, Tony D. Auld, Mark G. Tozer, William K. Cornwell, Berin D. E. Mackenzie, Mark K. J. Ooi, Robert O. Woodward, David A. Keith, Ada Sánchez‐Mercado, Andrew J. Denham
article en
2 citations

Abstract

An understanding of fire-response traits is essential for predicting how fire regimes structure plant communities and for informing fire management strategies for biodiversity conservation. Quantification of these traits is complex, encompassing several levels of data abstraction scaling up from field observations of individuals, to general categories of species responses. We developed the Fire Ecology Database to accommodate this complexity. Its conceptual framework is underpinned by a flexible data pipeline enabling links between fire-related trait data and event information at individual, population, and community levels. Key features include: (a) concise and documented trait and method vocabularies; (b) documented uncertainty in observations and aggregation; and (c) documented origin of data including field observations, laboratory experiments, and expert elicitation. We demonstrated application of our framework using data from new field surveys and existing data sets in New South Wales, Australia. The database includes 14 traits for 6,287 plant species derived from 8,936 field work records from 2007 to 2018, 7,054 field records from surveys after 2019, and 48,306 records from 301 existing sources.

Scientific DataVol. 12(1)
University of Wollongong (AU), UNSW Sydney (AU), Department for Environment and Water (AU), International Union for Conservation of Nature (CH), Environmental Earth Sciences (AU)
Openalex Percentile: Top 15%
Fire effects on ecosystems
2.21
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