Salmonid rearing habitat restoration is often intended to increase juvenile prey abundance, predator refugia, and physical conditions that enhance growth, development, and survival. A common restoration evaluation approach is to quantify habitat quality via physical metrics such as depth and velocity. However, such an approach does not account for the bioenergetic implications of habitat occupancy. We developed a spatially explicit predictive framework to assess net rate of energy intake (NREI) for juvenile Chinook salmon (Oncorhynchus tshawytscha) experiencing pre-existing and post-project conditions in a restored side channel complex. Energetic submodels from existing juvenile salmonid drift foraging literature are used in combination with site-specific macroinvertebrate drift data and a 2D hydraulic model. We address the following question: does our model predict increased net available energy for foraging juveniles in a restored channel condition compared to pre-existing conditions under varying discharges, thermal conditions, and seasonality? Observed macroinvertebrate drift data was extrapolated to the model domain via random forest models. Modeled post-project conditions showed statistically significant improvements in foraging opportunity compared to existing conditions, with depth ranked as the most important NREI predictor. The novel framework presented here improves upon previous applications that model drift from a single fish perspective and generalize prey density.
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