Data

Pyrogeography: Integrating and Evaluating Existing Models of Australian Fire Regimes to Predict Climate Change Impacts

Name: Pyrogeography: Integrating and Evaluating Existing Models of Australian Fire Regimes to Predict Climate Change Impacts
Published: 2016

Terrestrial Ecosystem Research Network

Murphy, Brett ; Boer, Matthias ; Bowman, David ; Bradstock, Ross ; Carter, John ; Cary, Geoff ; Cochrane, Mark ; Fensham, Rod ; Krawchuk, Meg ; Price, Owen ; Russell-Smith, Jeremy ; Williams, Dick ; Williamson, Grant

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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25901/g4d7-3j27&rft.title=Pyrogeography: Integrating and Evaluating Existing Models of Australian Fire Regimes to Predict Climate Change Impacts&rft.identifier=10.25901/g4d7-3j27&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=The ACEAS working group has developed a framework to evaluate the extent to which fire regimes are driven by climate and other environmental variables, and whether these fire and environment relationships concord with: (a) predictions of the group of conceptual models recently developed; and (b) predictions of process-based models. The dataset provides a distribution of major fire regimes niches throughout Australia ordered according to decreasing annual net primary productivity. The dataset published is the distribution of major fire regimes niches throughout Australia.To broadly characterise Australia’s fire regimes, we reclassified a continental-scale vegetation map, defining classes based on typical fuel (e.g. litter, grass, shrubs) and fire types (e.g. surface, crown, and ground). Classes were intersected with a broad climate classification to derive a map of twenty broad fire regimes. Using expert elicitation and a literature search, we validated each fire regime and characterised typical and extreme fire intensities and return intervals. Satellite-derived active fire detections were used to determine seasonal patterns of fire activity within fire regimes.Progress Code: completedMaintenance and Update Frequency: notPlanned&rft.creator=Murphy, Brett &rft.creator=Boer, Matthias &rft.creator=Bowman, David &rft.creator=Bradstock, Ross &rft.creator=Carter, John &rft.creator=Cary, Geoff &rft.creator=Cochrane, Mark &rft.creator=Fensham, Rod &rft.creator=Krawchuk, Meg &rft.creator=Price, Owen &rft.creator=Russell-Smith, Jeremy &rft.creator=Williams, Dick &rft.creator=Williamson, Grant &rft.date=2016&rft.edition=1.0&rft.relation=https://doi.org/10.5281/ZENODO.7996994&rft.relation=https://doi.org/10.1111/jbi.12065&rft.coverage=Australia.&rft.coverage=northlimit=-10; southlimit=-45; westlimit=110; eastLimit=154.375; projection=EPSG:4326&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=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. <br />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. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=environment&rft_subject=FIRE ECOLOGY&rft_subject=FIRE MODELS&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=ECOLOGY&rft_subject=BIOLOGICAL SCIENCES&rft_subject=fire regime (Unitless)&rft_subject=Unitless&rft_subject=Point Resolution&rft_subject=one off&rft.type=dataset&rft.language=English Access the data

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Open Licence view details

Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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 cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

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unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

The ACEAS working group has developed a framework to evaluate the extent to which fire regimes are driven by climate and other environmental variables, and whether these fire and environment relationships concord with: (a) predictions of the group of conceptual models recently developed; and (b) predictions of process-based models. The dataset provides a distribution of major fire regimes niches throughout Australia ordered according to decreasing annual net primary productivity. The dataset published is the distribution of major fire regimes niches throughout Australia.

Lineage

To broadly characterise Australia’s fire regimes, we reclassified a continental-scale vegetation map, defining classes based on typical fuel (e.g. litter, grass, shrubs) and fire types (e.g. surface, crown, and ground). Classes were intersected with a broad climate classification to derive a map of twenty broad fire regimes. Using expert elicitation and a literature search, we validated each fire regime and characterised typical and extreme fire intensities and return intervals. Satellite-derived active fire detections were used to determine seasonal patterns of fire activity within fire regimes.

Progress Code: completed

Maintenance and Update Frequency: notPlanned

Notes

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.
This work was funded by ACEAS, a facility of Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project.

Created: 2013-01-01

Issued: 2016-06-30

Modified: 2024-05-04

Data time period: 2013-01-01 to 2013-12-31

This dataset is part of a larger collection

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text: Australia.

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Point-of-truth metadata URL

uri : https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/abd43890-c85e-4a60-9c27-d85ced2d81eb External Link

Identifiers

global : abd43890-c85e-4a60-9c27-d85ced2d81eb
URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/abd43890-c85e-4a60-9c27-d85ced2d81eb

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