Variation in seagrass habitat use by fishery-important nekton across the Gulf of Mexico revealed by deep transfer learning with trophic group priors (opens in new tab)

Understanding how species use habitats across environmental gradients is central to guiding fisheries management and habitat restoration, yet inference is often limited by heterogeneous data and inconsistent observations. In coastal ecosystems, variation in relationships between nekton and seagrass habitats remains unresolved, in part because habitat structure, environmental context, and sampling methods are rarely integrated in predictive models. Here, we combine multigear monitoring data ac...