Abstract: Understanding and predicting recreational angler effort is important for sustainable fisheries management. However, conventional methods of measuring angler effort, such as surveys, can be costly and limited in both time and spatial extent. Models that predict angler effort based on environmental or economic factors typically rely on revealed data (past observed behavior), which often … Continue reading Schmid J., Simmons S., Lewis M., Poesch, M. S. and P. Ramazi. (2026) Website visits can predict angler presence using machine learning. FACETS 11:1-10.