During periods of heightened wildland fire activity in the United States, multiagency coordinating groups must prioritize among multiple on-going fires to allocate scarce suppression resources.
Multi-stakeholder planning and prioritization for ecosystem management and wildfire risk mitigation are complicated by the need to balance a multitude of values, goals, viewpoints, and interests across large landscapes.
Mature and old-growth forests (MOG) provide essential ecosystem services, yet they face increasing threats. Currently, high-intensity, high-severity wildfires are the main driver for loss of MOG on federally managed forests across the United States. Quantifying MOG forests with greatest exposure to stand-replacing wildfires provides essential information for land managers.
Many regions of the world have seen an increase in highly destructive wildfires, driven by well-documented increases in burned area and growth of housing in the wildland–urban interface (WUI), which exposes more homes to fire. However, it is unclear whether wildfires are also becoming more destructive due to changes in wildfire behavior or in the development patterns of exposed communities.
The wildland fire management system is increasingly complex and uncertain, which challenges suppression actions and increases stress on an already strained system. Researchers and managers have called for the use of strategic, risk-informed decision making and decision support tools (DSTs) in wildfire management to manage complexity and mitigate uncertainty.
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.
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
Wildfire suppression is shaped by a complex interplay of environmental conditions, resource allocation and management strategies.
Aims
Wildfire regimes are changing globally with an increase in global burned area and changes in fire characteristics. Recent research shows that the number of extreme fire events is increasing exponentially and events such as the most recent fires in Los Angeles in the U.S.
Wildfire poses an increasing threat to communities in the Western US, driven by climate change and rising human settlement in the wildland-urban interface (WUI). It is imperative that communities in fire-prone areas become “fire-adapted” to safely manage their risk.