Larson, D. M., Bungula, W., McKean, C., Stockdill, A., Lee, A., Miller, F. F., & Davis, K. (2023). Quantifying ecosystem states and state transitions of the Upper Mississippi River System using topological data analysis. PLoS Computational Biology, 19(6), 1. https://doi.org/10.1371/journal.pcbi.1011147
Chicago Style (17th ed.) CitationLarson, Danelle Marie, Wako Bungula, Casey McKean, Alaina Stockdill, Amber Lee, Frederick Forrest Miller, and Killian Davis. "Quantifying Ecosystem States and State Transitions of the Upper Mississippi River System Using Topological Data Analysis." PLoS Computational Biology 19, no. 6 (2023): 1. https://doi.org/10.1371/journal.pcbi.1011147.
MLA (9th ed.) CitationLarson, Danelle Marie, et al. "Quantifying Ecosystem States and State Transitions of the Upper Mississippi River System Using Topological Data Analysis." PLoS Computational Biology, vol. 19, no. 6, 2023, p. 1, https://doi.org/10.1371/journal.pcbi.1011147.