ESTIMATION OF SALMON ESCAPEMENT: MODELS WITH ENTRY, MORTALITY AND STOCHASTICITY

• Published in: Natural Resource Modeling
• Main Authors: Quinn, Terrance J., Gates, Richard
• Other Authors: Alaska Department of Fish and Game
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 1997
• Subjects: Environmental Science (miscellaneous); Modeling and Simulation; Weir; Pink salmon
• Online Access: http://dx.doi.org/10.1111/j.1939-7445.1997.tb00107.x; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1939-7445.1997.tb00107.x; https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1939-7445.1997.tb00107.x

Understanding the dynamics of Prince William Sound pink salmon requires knowledge of the size of the spawning population in a stream over time. Periodic aerial surveys provide observations on the number of spawners, but the lack of daily observations requires a model to fill in the gaps. We develop a differential equation framework to represent the dynamics of escapement during the season. An exponential population growth model with a time‐varying rate of growth is used for the number of spawners. The rate of growth consists of two primary components: the entry of salmon to the stream (escapement) and the mortality of spawners in the stream. The models for entry and mortality are also functions of time. The stochastic element of the model is based on a nonhomogeneous birth‐and‐death process which leads to a least squares estimation approach with either additive measurement or process errors. We illustrate the approach for a stream in Prince William Sound by fitting various models to observed spawner abundance, mortality counts from ground surveys and weir counts of the entry to the stream. We believe this approach could improve salmon escapement estimation, because the processes governing entry and mortality are explicitly considered.