Nature and Biodiversity

This tool can help scientists rebuild forests after wildfires

Grass shoots grow through the burnt ground of Cobargo resident Belinda Sheaâ destroyed home in Cobargo, Australia January 6, 2020. REUTERS/Tracey Nearmy - RC25AE9PTY4P

The tool can tell forest managers where to maximize their efforts with forest reseeding. Image: Reuters/Tracey Nearmy

Kat Kerlin
Public Information Representative, UC Davis
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Future of the Environment

  • The Post-fire Spatial Conifer Regeneration Prediction Tool (POSCRPT) helps forest managers identify where artificial reseeding is needed after wildfires.
  • Some areas of forest grow back quickly but some struggle due to factors like weather and elevation.
  • The tool uses data to create spatial models of seed availability and regeneration probability.

A new tool can help forest managers know which areas will most benefit from replanting efforts after megafires and which will regenerate on their own.

“Huge fires are converting forested areas to landscapes devoid of living trees,” says lead author Joseph Stewart, a postdoctoral researcher at the University of California, Davis, and with the United States Geological Survey. “Managers need timely and accurate information on where reforestation efforts are needed most.”

The tool, known as the Post-fire Spatial Conifer Regeneration Prediction Tool (POSCRPT), helps forest managers identify within weeks after a fire where sufficient natural tree regeneration is likely and where artificial planting of seedlings may be necessary to restore the most vulnerable areas of the forest.

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Conifers, or plants with cones such as pine trees, dominate many forests in western North America. The study found that conifers are less likely to regenerate after fires when seedlings face drier climate conditions, especially in low-elevation forests that already experience frequent drought stress.

Overall, fewer conifers are expected to grow in California’s lower elevations following wildfire due to climate and drought conditions.

Forests Australia Environment and Natural Resource Security
The tool uses data to create spatial models of seed availability and regeneration probability. Image: UC Davis

“We found that when forest fires are followed by drought, tree seedlings have a harder time, and the forest is less likely to come back,” Stewart says.

A team from UC Davis collected post-fire recovery data from more than 1,200 study plots in 19 wildfires that burned between 2004 and 2012, as well as 18 years of forest seed production data.

Ecologists at USGS collected and identified over 170,000 seeds from hundreds of seed traps. The scientists combined these data with multispectral satellite imagery, forest structure maps, climate and other environmental data to create spatial models of seed availability and regeneration probability for different groups of conifers, including pines and firs.

Forest managers have used a prototype of the tool in recent years to better understand where to focus regeneration efforts. The new upgrade incorporates information on post-fire climate and seed production and includes an easy-to-use web interface expected to increase the tool’s accuracy and use.

“This work is a great example of how multiple partners can come together to solve major resource management problems that are arising from California’s climate and fire trends,” says coauthor Hugh Safford, regional ecologist for the USDA Forest Service’s Pacific Southwest Region and a member of the research faculty at UC Davis.

The tool appears in a study in the journal Ecological Applications. Additional coauthors are from USGS, UC Davis, Save the Redwoods League, the US Forest Service, and the California Department of Forestry and Fire Protection.

The USGS Southwest Climate Adaptation Science Center, Ecosystems Mission Area and Land Change Science Program funded the work.

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Nature and BiodiversityGeographies in Depth
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