Rodents strategically adjust their activity levels to minimise encounters with predators and find safe habitats, selecting those structurally complex with shelters. After fire, intraspecific competition also affects foraging. These results highlight the complex interaction between habitat structure, predation risk and rodent activity levels in post-fire ecosystems, providing insights into the dynamics of their adaptive behavior.

We provide a pathway towards more consistency in plant flammability research by identifying a subset of preferred flammability metrics for live plant specimens. Future studies that incorporate these metrics will be more comparable, helping to facilitate a broader understanding of plant flammability.

We developed a repeatable method for assessing fuel in forests, woodlands and shrublands that extended an existing Australian method. Fuel properties and hazard differed between the two methods. The extended method took longer but offered advantages including improved scope for data integration with emerging fuel-measurement techniques and multi-value vegetation assessments.

In Australia, MODIS-based grassland curing (senescence) data have fed into fire danger calculations since 2013. MODIS has exceeded its designed lifespan, so the grassland curing model has transitioned to VIIRS. The VIIRS curing model was handed over to the Bureau of Meteorology for continued daily input into fire danger calculations.

Updated statistical models are presented for predicting conifer crown fire occurrence based on weather and fuel structure data from experimental burning studies across Canada. The new models are more flexible than previously published ones and are based on ~50% more observations. They should be useful for operational forecasting and other purposes.

Costs of wildfire accrue for many years across several categories but are rarely documented in full. In this study, we measured the long-term costs of uncharacteristic wildfire by estimating fire damages in terms of government and utility costs, household costs and ecosystem service costs.