Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach.

Campbell AM, Kula AC, Jabaily RS, Oberle B, Sidoti B, Capaldi A, Bodine EN

DOI: 10.1371/journal.pcbi.1013157
Published: 2025 Jun
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1013157,
  title = {Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach.},
  author = {Campbell AM and Kula AC and Jabaily RS and Oberle B and Sidoti B and Capaldi A and Bodine EN},
  year = {2025},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1013157},
  url = {https://doi.org/10.1371/journal.pcbi.1013157}
}

RIS

TY  - JOUR
TI  - Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach.
AU  - Campbell AM
AU  - Kula AC
AU  - Jabaily RS
AU  - Oberle B
AU  - Sidoti B
AU  - Capaldi A
AU  - Bodine EN
PY  - 2025
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1013157
UR  - https://doi.org/10.1371/journal.pcbi.1013157
ER  -

APA

AM, C., AC, K., RS, J., B, O., B, S., A, C., & EN, B. (2025). Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1013157

Source records

pubmed · retrieved 2026-09-27T08:40:22.008Z