A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales
Nicholas E. Young(United States Geological Survey), Thomas J. Stohlgren(United States Geological Survey), Catherine S. Jarnevich(United States Geological Survey), Helen R. Sofaer(United States Geological Survey), Ian S. Pearse(United States Geological Survey), Julia Sullivan(United States Geological Survey), Peder Engelstad(Colorado State University)
Cited by 27
Related Papers
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
|Proceedings of the National Academy of Sciences|2018|624
The area under the precision‐recall curve as a performance metric for rare binary events
|Methods in Ecology and Evolution|2018|380
Development and Delivery of Species Distribution Models to Inform Decision-Making
|BioScience|2019|346
Caveats for correlative species distribution modeling
|Ecological Informatics|2015|316
Improving and integrating data on invasive species collected by citizen scientists
|Biological Invasions|2010|261