A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales.

ABSTRACT: Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species modeling and mapping that meets objectives at multiple scales. Our methodology is designed to balance trade-offs between developing highly customized models for few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. To ensure efficiency, we used largely automa

SUBMITTER: Young NE 

PROVIDER: S-EPMC7062246 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature