APA (7th ed.) Citation

Reed, A. D., & Landis, W. G. (2026). Probabilistic injury assessment and quantification for natural resource damage assessment according to Bayesian networks: A case study of the polychlorinated biphenyl-contaminated Mississinewa River basin. Integrated Environmental Assessment & Management, 22(1), 214. https://doi.org/10.1093/inteam/vjaf103

Chicago Style (17th ed.) Citation

Reed, April D., and Wayne G. Landis. "Probabilistic Injury Assessment and Quantification for Natural Resource Damage Assessment According to Bayesian Networks: A Case Study of the Polychlorinated Biphenyl-contaminated Mississinewa River Basin." Integrated Environmental Assessment & Management 22, no. 1 (2026): 214. https://doi.org/10.1093/inteam/vjaf103.

MLA (9th ed.) Citation

Reed, April D., and Wayne G. Landis. "Probabilistic Injury Assessment and Quantification for Natural Resource Damage Assessment According to Bayesian Networks: A Case Study of the Polychlorinated Biphenyl-contaminated Mississinewa River Basin." Integrated Environmental Assessment & Management, vol. 22, no. 1, 2026, p. 214, https://doi.org/10.1093/inteam/vjaf103.