Skip to main content
U.S. flag

An official website of the United States government

Here’s how you know

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

HTTPS

Secure .gov websites use HTTPS
A lock ( Lock A locked padlock ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

  • Environmental Topics
  • Laws & Regulations
  • Report a Violation
  • About EPA
Risk Assessment
Contact Us

Identifying the drivers of aquatic ecosystem vulnerability to wildfires in the Pacific Northwest.

On this page:

  • Overview
Wildfires can have complex effects on aquatic ecosystems that vary widely depending on the characteristics of the fire and the ecological context of the watershed, making predictions of fire effects on species of social and conservation interest, like salmonid fishes (Oncorhynchus spp.), difficult. As fire regimes shift, resource managers want to predict where on the landscape wildfires pose a risk to fish and aquatic habitats. However, before we can effectively predict where aquatic systems will be vulnerable to wildfires and shifting fire regimes, we first need to understand how and why fires influence aquatic ecosystems. Here, we present two complementary modeling efforts that seek to synthesize the effects of fire on aquatic ecosystems, identify the drivers that can lead to aquatic ecosystem vulnerability, and develop a spatial risk index to predict where fires may pose a risk for fish and aquatic habitats. First, we adapted a food web system-dynamics model to explore how wildfires influence aquatic ecosystems at multiple trophic levels via the physical and biological processes that support them. Model simulations were then repeated to explore how variation in fire severity and ecological context influenced ecosystem responses and the associated pathways driving those responses. Second, we are leveraging the pathways identified by food web modeling to inform a spatial index of wildfire risk to predict the relative vulnerability and resilience of watersheds regionally across the Pacific Northwest. Taken together, these modeling approaches aim to contribute an improved understanding of the effects of fire on aquatic ecosystems that can help to develop new conceptual models, direct empirical studies, as well as guide management actions in the Pacific Northwest.

Impact/Purpose

EPA scientists are working with US Forest Service and Oregon State University scientists to understand the effects of wildfire on aquatic ecosystems. Together the team is using spatial data and modeling frameworks to examine the vulnerability to wildfire impacts, and the recovery trajectories for aquatic habitat and fish after wildfire. The preliminary results from these modeling efforts will be presented at the annual meeting of the Ecological Society of America in August 2023. 

Citation

Roon, D., J. Benjamin, K. Bladon, R. Bellmore, F. Robinne, B. Flitcroft, J. Compton, Joe Ebersole, AND J. Dunham. Identifying the drivers of aquatic ecosystem vulnerability to wildfires in the Pacific Northwest. Ecological Society of America, Portand OR, OR, August 06 - 11, 2023.
  • Risk Assessment Home
  • About Risk Assessment
  • Risk Recent Additions
  • Human Health Risk Assessment
  • Ecological Risk Assessment
  • Risk Advanced Search
    • Risk Publications
  • Risk Assessment Guidance
  • Risk Tools and Databases
  • Superfund Risk Assessment
  • Where you live
Contact Us to ask a question, provide feedback, or report a problem.
Last updated on August 29, 2023
United States Environmental Protection Agency

Discover.

  • Accessibility Statement
  • Budget & Performance
  • Contracting
  • EPA www Web Snapshots
  • Grants
  • No FEAR Act Data
  • Privacy
  • Privacy and Security Notice

Connect.

  • Data
  • Inspector General
  • Jobs
  • Newsroom
  • Open Government
  • Regulations.gov
  • Subscribe
  • USA.gov
  • White House

Ask.

  • Contact EPA
  • EPA Disclaimers
  • Hotlines
  • FOIA Requests
  • Frequent Questions

Follow.