Background

Prevailing American wildland fire modelling systems fail to predict fire growth in urban areas due to the absence of burnable urban fuels.

Aims

This research aims to identify fuel models that optimise fire spread in urban areas relative to a hypothetical fire spread model derived from observations of recent urban fires.

As wildfires in the western United States grow in frequency and severity, forest fuels treatment has been increasingly recognized as essential for enhancing forest resilience and mitigating wildfire risks. However, the economic valuation of the treatment's co-benefits remains underexplored, limiting integration into financial and policy decision making.

Anticipating plausible future ecosystem states is necessary for effective ecosystem management. We use climate analog-based impact models and a co-production process with land managers to project future vegetation changes for the state of Oregon, United States, (2041–2070, RCP 8.5) at a management-relevant spatial resolution (270-m).

Background

Phenological correction of pre- and post-fire imagery is used to improve remotely sensed burn severity evaluations. Unburned offset values standardize greenness between image pairs; however, efficacy across diverse scenarios remains underexplored.

Aims

Background

Understanding the relative contribution of climate and human factors to wildfires is critical for managing risk across California’s diverse ecosystems, in the United States (US).

Aims

Background

Fire simulation frameworks and decision support systems (DSSs) are critical tools in fire response dispatching that need to consider factors influencing fire spread and suppression difficulty while provide easily interpreted indexes.

Aims

Background

Background

Wildfire suppression is shaped by a complex interplay of environmental conditions, resource allocation and management strategies.

Aims

Biological legacies (i.e., materials that persist following disturbance; “legacies”) shape ecosystem functioning and feedbacks to future disturbances, yet how legacies are driven by pre-disturbance ecosystem state and disturbance severity is poorly understood—especially in ecosystems influenced by infrequent and severe disturbances.

Wildfires are increasing in severity, frequency and size, potentially threatening freshwater species that adapted under different disturbance regimes. However, few wildfire studies have comprehensively evaluated freshwater populations and assemblages following wildfire over broad spatial scales while accounting for post-fire salvage practices in the watershed.