Data and code for: Building use-inspired species distribution models: using multiple data types to examine and improve model performance ...

• Main Authors: Braun, Camrin, Arostegui, Martin, Farchadi, Nima, Alexander, Michael, Afonso, Pedro, Allyn, Andrew, Bograd, Steven, Brodie, Stephanie, Crear, Daniel, Culhane, Emmett, Curtis, Tobey, Hazen, Elliott, Kerney, Alex, Lezama-Ochoa, Nerea, Mills, Katherine, Pugh, Dylan, Queiroz, Nuno, Scott, James, Skomal, Gregory, Sims, David, Thorrold, Simon, Welch, Heather, Young-Morse, Riley, Lewison, Rebecca
• Format: Dataset
• Language: English
• Published: Dryad 2023
• Subjects: FOS Earth and related environmental sciences; species distribution models; prediction; Ecological forecasting; spatial ecology; highly migratory species; Climate change; Northwest Atlantic; morse
• Online Access: https://dx.doi.org/10.5061/dryad.h44j0zpr2; https://datadryad.org/stash/dataset/doi:10.5061/dryad.h44j0zpr2

Species distribution models (SDMs) are becoming an important tool for marine conservation and management. Yet while there is an increasing diversity and volume of marine biodiversity data for training SDMs, little practical guidance is available on how to leverage distinct data types to build robust...