Estimating fishery harvest and spawning escapement (spawning stock size) are critical components of fisheries management; however, they can be particularly challenging to measure in systems where visually indistinguishable, but reproductively isolated populations mix within a single fishing area. Genetic stock identification is a common tool used in such mixedâstock fisheries to improve estimates of spawning escapement and productivity; however, there are few references for management applications, particularly for inland recreational fisheries. The kokanee Oncorhynchus nerka population in Wood Lake, British Columbia, is a highly productive and valuable mixedâstock fishery that includes two reproductively distinct ecotypes: shoreâ and streamâspawning. Enumeration of shoreâspawning kokanee is logistically challenging, as the spawning population is not confined to a defined area or depth like streamâspawners. Here, we combined inâlake sampling (angler harvest and ageâ0 trawl samples) over a 9âyear period (2008â2016) with genetic stock identification and Bayesian statistics to develop a new method for enumerating shoreâspawning kokanee. Our results suggest that anglerâharvested kokanee are representative of the spawner age structure and stock proportions. Therefore, we used the angler harvest sample combined with known streamâspawner escapement to reconstruct the shoreâspawner escapement time series. Shoreâspawner abundance varied between 2,040 spawners and 13,460 spawners across years, which is over four times that previously predicted using the peak estimate of visual survey counts. Our results demonstrate the recovery of both the shoreâ and streamâspawning kokanee in Wood Lake following a wellâdocumented crash in 2011 and suggest that a larger harvestable surplus is available for this highâvalue kokanee fishery.