Abstract

A primary goal of the Central Valley Project Improvement Act is to at least double natural production of Chinook salmon (Oncorhynchus tshawytscha), in California Central Valley (CV) streams on a sustainable basis. Achievement relies on restoration actions that involve both discharge (e.g., dam releases) and non-discharge (e.g., gravel augmentation, screening) components. Annual adult and juvenile abundance estimates for individual watersheds must be tracked to assess effectiveness of individual actions. However, to date, no substantial efforts have been taken to demonstrate success or deficiencies of their implementations. A major challenge in interpreting time series of counts at any one life stage is that they reflect the cumulative effects of both freshwater and marine factors over the full life cycle. To address this issue, we developed a conceptual framework based on ratios of the abundance of consecutive CV fall-run Chinook salmon life stages and how variation in these ratios tracks key independent variables during the freshwater portion of the life cycle. Model validation with several case studies shows that estimates of previous stage class production correlate well with estimated individuals produced in the next class, indicating that transition rates tend to vary within a constrained range, and that monitoring programs generate abundance estimates whose errors are small enough not to swamp out the underlying signal. When selected environmental parameters were added to demonstration models, abundance estimates were more closely modeled and several tested relationships between environmental drivers and life-stage transition rates proved consistent across watersheds where data were available. Results from this generalized life-stage conceptual model suggest a potential framework for tracking the success of actions meant to improve survival for a given life stage within an individual stream and for determining how successive stages respond to these changes. Though examples are provided for CV Chinook salmon, these concepts can be applied wherever migratory salmonid populations and associated environmental data are being adequately monitored.

Highlights

  • Chinook salmon (Oncorhynchus tshawytscha) are an iconic species across the western United States

  • To accomplish this goal we address the following question: within a watershed, can we detect the effects of environmental variables on individual life cycle transition rates? by looking at each life stage transition within fresh water, can we detect how a specific independent variable that is hypothesized to affect a particular stage in the life cycle influences the ratio of the number of fish transitioning out of the life stage relative to the number coming in? For illustration purposes, we use models to demonstrate the influence of flow on redd production success, fry production, emigrants per fry produced, and the ratio of smolt to fry emigrants for several populations within the Central Valley (CV)

  • Reliable population abundance estimates at key life stages—such as adult escapement, redd counts, fry abundance, and emigrant production—are essential to effectively manage salmonids and to identify actions that will afford the best possibility of recovering stocks

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Summary

Introduction

Chinook salmon (Oncorhynchus tshawytscha) are an iconic species across the western United States. In response to declines in abundance of once large historical populations, restoration efforts are underway in most regions where the species occurs. Evaluation of the success of those efforts has proven difficult, . The Sacramento and San Joaquin river system of the California Central Valley (CV; Figure 1) is an example of this dilemma. The CV supports four races of Chinook salmon: fall run, late-fall run, winter run, and spring run. These races and the large populations they once supported (at least 1 to 2 million adults annually; Yoshiyama et al 1998, 2000) reflect the diverse and productive habitats that historically existed within the region

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