Prioritizing removals of a highly cryptic invasive species using machine learning and demographic weighting
- DOI
- 10.1002/eap.70317
- Published
- 2026-09
- Container
- Ecological Applications
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/eap.70317,
title = {Prioritizing removals of a highly cryptic invasive species using machine learning and demographic weighting},
author = {Alexander S. Romer and Melissa A. Miller and Sergio A. Balaguera‐Reina and Michelle C. Bassis and Brandon Welty and Michael Kirkland and Amy Peters and Edward F. Metzger and Jenna Cole and LeRoy Rodgers and Frank J. Mazzotti},
year = {2026},
journal = {Ecological Applications},
doi = {10.1002/eap.70317},
url = {https://doi.org/10.1002/eap.70317}
}RIS
TY - JOUR TI - Prioritizing removals of a highly cryptic invasive species using machine learning and demographic weighting AU - Alexander S. Romer AU - Melissa A. Miller AU - Sergio A. Balaguera‐Reina AU - Michelle C. Bassis AU - Brandon Welty AU - Michael Kirkland AU - Amy Peters AU - Edward F. Metzger AU - Jenna Cole AU - LeRoy Rodgers AU - Frank J. Mazzotti PY - 2026 JO - Ecological Applications DO - 10.1002/eap.70317 UR - https://doi.org/10.1002/eap.70317 ER -
APA
Romer, A. S., Miller, M. A., Balaguera‐Reina, S. A., Bassis, M. C., Welty, B., Kirkland, M., Peters, A., Metzger, E. F., Cole, J., Rodgers, L., & Mazzotti, F. J. (2026). Prioritizing removals of a highly cryptic invasive species using machine learning and demographic weighting. Ecological Applications. https://doi.org/10.1002/eap.70317
Source records
- crossref · retrieved 2026-09-24T18:31:03.125Z