Weed Fire Risk Assessment Database

A patch of fire amidst dry grasses
Climate conditions are shifting to those that promote more frequent wildfires, so it is important to understand how invasive vegetation ties into that fire promotion. (Photo: Hawaiʻi DLNR)

Using previously collected information on weed risk and ecology of non-native plants in Hawaiʻi (Weed Risk Assessment Database), this project developed a screening system focused on wildfire risk by asking land managers to assign the relative fire risk for weeds naturalized in Hawai‘i. This particular expertise was used to train a machine learning model to rank hundreds of other species based on plant traits and other information from the scientific literature. The Weed Fire Risk Assessment Database assesses 360+ plant species for their fire-promoting traits and provides a computer model-generated fire risk score for each plant species, information that may also be useful to predict post-fire responses, since available fire regeneration characteristics of each plant species are also included. The Database is presented in several formats for convenience.





Curt Daehler
School of Life Sciences, UH Mānoa
Kevin Faccenda
School of Life Sciences, UH Mānoa