Prescribed Burning PCS conducts a number of prescribed burns each year in and around urban and rural areas across Canberra and Googong Foreshore (NSW) to prepare for the upcoming fire season. For more information view the About prescribed burns page, or view the Schedule of Prescribed Burns. The SBMP requires regional fire management plans (RFMPs) to provide a link between the strategy of this plan and the more detailed bushfire operational plans (BOPs). RFMPs will be updated to cover the entire ACT to reflect boundaries based on bushfire risk and geography. RFMPs detail the five-year program (2014–19) of work for fuel reduction, access and infrastructure in the ACT. RFMPs for 2019–24 will be prepared during the life of the SBMP. The ACT Emergency Services Commissioner (the Commissioner) is responsible for approval of RFMPs. They will be reviewed as required to reflect significant changes. These may include unplanned bushfires, which may provide strategic advantages or changes to the location or extent of assets – for example, the development of new estates. IMPORTANT NOTICE The ACT Government is providing this bushfire management map for information purposes only. This data is derived from the best available vegetation. The ACT Government cannot and does not guarantee the accuracy and completeness of any data and information contained on this site as, among other reasons, there may have been changes to land use and vegetation since the map was produced. The ACT Government disclaims liability to any person who acts in reliance on the information provided on this site or contained within the reports or plans on it whether that liability is in negligence or on any other legal basis. Persons who would otherwise seek to rely on the data and information contained on this site should make their own inquiries and seek their own expert advice. [1] BPA is already declared over the Rural Areas of the ACT for the purposes of AS 3959 assessment Creative Commons License Creative Common By Attribution 4.0 (Australian Capital Territory), Please read Data Terms and Conditions statement before data use.

Fire History provides current details of planned burns that have been undertaken and completed by CMB Fire Management across Council managed land for the current year to date. As planned burns are completed on Council managed land the activity details will be updated.For more information about council planned burns in your area, visit Council's Planned Burn Information or contact Moreton Bay Council on (07) 3205 0555.

This dataset is available on Brisbane City Council’s open data website – data.brisbane.qld.gov.au. The site provides additional features for viewing and interacting with the data and for downloading the data in various formats. Approximate geographic extent of proposed planned burns in the Brisbane City Council area that have permits granted. Planned burning on Brisbane City Council land is used to maintain the health of forests and lessen the impact of wild fires. Council aims to reduce the amount of fire fuel, such as dead wood, by 75% over the 60 to 80% of the land being burned. Some areas of the forest are left untouched, which can be used by wildlife as a refuge and help re-establish vegetation in the burnt sections. Further information about planned burns is available on the Brisbane City Council website. CSV containing data of the Planned Burns 2015 - All Regions The Data and resources section of this dataset contains further information for this dataset.

This dataset displays the position and extents of areas that have been identified as prescribed burn areas in the RFMP 2019-28. These prescribed burns may be developed and undertaken anywhere within the PCS and TCCS estate within the ACT and are subject to consideration and approval by a range of stakeholders as appropriate, and separate to the RFMP process; they are informed by ecological monitoring and research. This allows for flexibility in planning and developing these particular treatments as circumstances dictate in the context of an adaptive management approach. Additionally these burn locations are displayed as ‘maximum burn areas’.

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

The FSim wildfire simulation model is widely used to generate estimates of burn probability (BP). However, few studies have compared BP models to subsequent wildfires to assess their suitability for estimating near-future wildfire risk. Here, we compared the U.S.D.A. Forest Service’s publicly available BP map for the conterminous U.S. (Short et al., 2020; Dillon et al., 2023) to observed wildfire perimeters. Our main focus was to evaluate the BP map version based on 2014 LANDFIRE fuels data and calibrated to historical wildfires from 1992-2015, allowing us to compare BP to observed wildfires from 2016-2022. We also compared evaluations using a newer version of the BP map based on 2020 LANDFIRE fuels and 1992-2020 historical wildfires, and additionally performed evaluations for the western U.S. based on differing wildfire size classes. This dataset includes CSV tables summarizing burned area proportions by BP classes for individual pyromes, or regions with similar wildfire regimes, as well as processing code used to summarize burned area by BP classes.

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.