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Characterizing Watershed-Scale Effects of Habitat Restoration Actions to Inform Life Cycle Models: Case Studies Using Data-Rich vs. Data-Poor Approaches
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Description:In this report, we describe a general approach to developing and evaluating alternative restoration scenarios and present examples of alternative methods for each step in the evaluation. Scenarios can be developed based on the habitat change analyses (Beechie et al. 1994), expected habitat configurations based on geomorphic potential (Beechie et al. 2015), or suites of actions of known effectiveness (Roni et al. 2010). Habitat change analysis identifies how current habitat types and conditions important to salmonids compares to either historic and/or potential conditions (Nickelson et al. 1992, Beechie et al. 1994, Beechie et al. 2015). Once the scenarios are developed, biological data can estimate how each restoration scenario alters estimates of life-stage habitat capacity or survival. These biological models help determine which restoration alternatives are likely to be the most important to salmon population response. The bulk of this report is devoted to examples of evaluations associated with data rich and data poor environments. In each, we show the methods and rationale for habitat and restoration scenario evaluation and incorporation into life cycle models to assess the benefit for each population.
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