Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach.

MLA

Valentin, Davide Nepote, et al. “Modeling Geographic Distribution of Arbuscular Mycorrhizal Fungi from Molecular Evidence in Soils of Argentinean Puna Using a Maximum Entropy Approach.” PeerJ, Jan. 2023, pp. 1–30. EBSCOhost, https://doi.org/10.7717/peerj.14651.

APA

Valentin, D. N., Voyron, S., Soteras, F., Iriarte, H. J., Giovannini, A., Lumini, E., & Lugo, M. A. (2023). Modeling geographic distribution of arbuscular mycorrhizal fungi from molecular evidence in soils of Argentinean Puna using a maximum entropy approach. PeerJ, 1–30. https://doi.org/10.7717/peerj.14651

Chicago

Valentin, Davide Nepote, Samuele Voyron, Florencia Soteras, Hebe Jorgelina Iriarte, Andrea Giovannini, Erica Lumini, and Mónica A. Lugo. 2023. “Modeling Geographic Distribution of Arbuscular Mycorrhizal Fungi from Molecular Evidence in Soils of Argentinean Puna Using a Maximum Entropy Approach.” PeerJ, January, 1–30. doi:10.7717/peerj.14651.