Growing convergence research: Coproducing climate projections to inform proactive decisions for managing simultaneous wildfire risk

We apply a convergence research approach to the urgent need for proactive management of long‐term risk associated with wildfire in the United States. In this work we define convergence research in accordance with the US National Science Foundation—as a means of addressing a specific and compelling s...

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Vydáno v:Risk analysis Ročník 43; číslo 11; s. 2262 - 2279
Hlavní autoři: Cullen, Alison C., Prichard, Susan J., Abatzoglou, John T., Dolk, Alexandra, Kessenich, Lee, Bloem, Sunniva, Bukovsky, Melissa S., Humphrey, Reed, McGinnis, Seth, Skinner, Haley, Mearns, Linda O.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Blackwell Publishing Ltd 01.11.2023
Témata:
Climate
Climate science
Convergence
Decision making
Decision support systems
Ecology
Environmental risk
Fire hazards
Forest & brush fires
Information
Landscape ecology
Management
Norms
Policy making
Projections
Risk
Risk assessment
Risk management
Science
Stakeholders
Teams
Tribes and tribal systems
Wildfires
United States > US
coproduction
wildfire risk and decision support
convergence research
ISSN:0272-4332, 1539-6924, 1539-6924
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Shrnutí:We apply a convergence research approach to the urgent need for proactive management of long‐term risk associated with wildfire in the United States. In this work we define convergence research in accordance with the US National Science Foundation—as a means of addressing a specific and compelling societal problem for which solutions require deep integration across disciplines and engagement of stakeholders. Our research team brings expertise in climate science, fire science, landscape ecology, and decision science to address the risk from simultaneous and impactful fires that compete for management resources, and leverages climate projections for decision support. In order to make progress toward convergence our team bridges spatial and temporal scale divides arising from differences in disciplinary and practice‐based norms. We partner with stakeholders representing US governmental, tribal, and local decision contexts to coproduce a robust information base for support of decision making about wildfire preparedness and proactive land/fire management. Our approach ensures that coproduced information will be directly integrated into existing tools for application in operations and policy making. Coproduced visualizations and decision support information provide projections of the change in expected number of fires that compete for resources, the number of fire danger days per year relative to prior norms, and changes in the length and overlap of fire season in multiple US regions. Continuing phases of this work have been initiated both by stakeholder communities and by our research team, a demonstration of impact and value.
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ISSN:0272-4332
1539-6924
1539-6924
DOI:10.1111/risa.14113