APA (7th ed.) Citation

JT, D., & DM, L. (2024). Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions. Conservation biology : the journal of the Society for Conservation Biology, 38(3), e14203. https://doi.org/10.1111/cobi.14203

Chicago Style (17th ed.) Citation

JT, Delaney, and Larson DM. "Using Explainable Machine Learning Methods to Evaluate Vulnerability and Restoration Potential of Ecosystem State Transitions." Conservation Biology : The Journal of the Society for Conservation Biology 38, no. 3 (2024): e14203. https://doi.org/10.1111/cobi.14203.

MLA (9th ed.) Citation

JT, Delaney, and Larson DM. "Using Explainable Machine Learning Methods to Evaluate Vulnerability and Restoration Potential of Ecosystem State Transitions." Conservation Biology : The Journal of the Society for Conservation Biology, vol. 38, no. 3, 2024, p. e14203, https://doi.org/10.1111/cobi.14203.