119-18 Individual-Based Fish Population Modeling Using Reach- and Network-Scale Physical Information
For stream fish, passage barriers are a particularly visible cause of fragmentation often targeted for remediation. We used an individual-based trout population model that represents barriers by assuming trout cannot move upstream past a barrier, and move downstream over a barrier only if habitat above it offers only low expected future survival of starvation and predation. We simulated the stream network and a trout population in a catchment of about 25 square kilometers over 78 years, varying barrier density and observing effects on population stability properties and demographics. Increasing barrier density decreased sub-population persistence in first-order tributaries but not larger streams. Barriers reduced overall abundance and biomass at intermediate and high densities, and caused a small but surprising increase in biomass at low density. Fish that passed over barriers contributed relatively little to downstream populations but, had they not moved, would have increased persistence and abundance of the tributaries they moved from. Finally, differences in life history characteristics emerged from habitat differences: compared to those in larger channels, fish in isolated tributaries had about 2.5X higher survival of eggs to age 1, smaller spawners and smaller size at a given age. The results were not highly sensitive to the tendency for fish to move downstream over barriers.