Applying the mean free-path length model to juvenile Chinook salmon migrating in the Sacramento River, California

• Published in: Environmental biology of fishes Vol. 103; no. 12; pp. 1603 - 1617
• Main Authors: Steel, Anna E., Anderson, James J., Mulvey, Brian, Smith, David L.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2020; Springer Nature B.V
• Subjects: Acoustic telemetry; Animal Systematics/Taxonomy/Biogeography; Biomedical and Life Sciences; Engineers; Environment; Estimates; Fish; Fish migration; Freshwater & Marine Ecology; Freshwater fishes; Hydrodynamics; Interspecific relationships; Juveniles; Length; Life Sciences; Low flow; Mathematical models; Mortality; Nature Conservation; Oncorhynchus tshawytscha; Parameter estimation; Parameters; Population; Population dynamics; Population forecasting; Predator-prey simulation; Predators; Prey; Probability theory; River systems; Rivers; Salmon; Survival; Telemetry; Travel time; Vectors; Velocity; Zoology; Sacramento River; United States > US; California; Ideal gas law; XT model; Predator-prey; Acoustic telemetry
• ISSN: 0378-1909; 1573-5133
• DOI: 10.1007/s10641-020-01046-8

Population vital rates, such as stage-specific survival, are influenced by individual behavior and movement patterns. Yet few methods exist to incorporate behavior into predator-prey models, omitting a potentially important source of variability in population dynamics. Here were combine results from an acoustic telemetry study of juvenile Chinook salmon ( Oncorhynchus tshawytscha ) with an existing predator prey model, called the mean free-path length model, originally presented in Anderson et al. ( 2005 ). The model describes the probability of predator-prey encounters as a function of the predator density and the movement patterns of predators and prey. Greater predator densities and greater variation in movement vectors should result in higher predator-prey encounter rates, and lower survival for the prey. Fitting this model to data provides insight into mechanisms of mortality for migrating fishes. Here we estimate model parameters for two flow conditions in the Sacramento River, California, examining the importance of natural environmental variation in shaping encounters and prey survival. Survival estimates were similar between the high and low flow conditions, yet travel time was slower at lower flows. The model estimates of mean free-path length were lower when compared to those estimated in the Snake River system, corresponding with lower survival. We discuss the value of model parameters estimated from telemetry data in providing a tool for forecasting population-level responses to structural or hydrodynamic modifications in large river systems, and we explore how the XT model can provide insight into nonlinear and threshold-like responses of migratory fish survival to flow.