A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
Resource managers are tasked with protecting natural areas from invasive species with limited resources. Further, invasive management goals can vary greatly based on different management priorities specific to management agencies or taxa of interest. The site prioritization tool for invasive species management addresses these challenges by creating a platform to view and combine diverse spatial data layers to estimate cumulative invasion risk based on user-specific needs. For this tool, we developed a human transport risk layer, estimating invasion risk based on proximity to human population centers and transportation corridors, and created maps of non-native species richness across the conterminous United States. The tool also includes spatial layers showing projected changes in key climate variables through the end of the century to identify areas where invasion risk may shift. Users can explore these layers to prioritize sites based on the invasive taxa of interest, likely invasion pathways, and disturbances that may elevate invasion risk. This interactive tool will allow managers to make the spatial comparisons needed to focus efforts on areas that are highly susceptible to invasion and efficiently target monitoring and suppression efforts.
Suggested Citation
Prevéy, J.S., Reimer, C.J., Engelstad, P.S., Belamaric, P.N., Hogan, T., LaRoe, J.M., Mumford, C.J., Sieracki, J.L., and Jarnevich, C.S., 2026, A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making: Ecological Informatics, v. 95, 103779, 11 p., https://doi.org/10.1016/j.ecoinf.2026.103779.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A site prioritization tool for invasive species management: Integrating diverse spatial data to improve decision making |
| Series title | Ecological Informatics |
| DOI | 10.1016/j.ecoinf.2026.103779 |
| Volume | 95 |
| Year Published | 2026 |
| Language | English |
| Publisher | Elsevier |
| Contributing office(s) | Fort Collins Science Center |
| Description | 103779, 11 p. |
| Country | United States |