Variation in seagrass habitat use by fishery-important nekton across the Gulf of Mexico revealed by deep transfer learning with trophic group priors
Liying Li, Jonathan R. Rodemann, Christian Hayes, Benjamin A. Belgrad, Kelly M. Darnell, Charles W. Martin, Bradley T. Furman, Delbert Lee Smee, M. Zachary Darnell
The paper uses deep transfer learning with trophic priors to analyze nekton habitat use in the Gulf of Mexico, revealing how environmental gradients and seagrass structure influence species distribution.
bioRxiv · May 29, 2026 · PreprintBioinformatics