Saugeye (female Walleye Sander vitreus × male Sauger S. canadensis) are stocked annually into Ohio reservoirs to maintain popular recreational fisheries. The growth and recruitment of stocked saugeye are highly variable among years and reservoirs, but the causes of this variability are not well understood. Using a multi-year (2004–2019), multi-reservoir (six reservoirs) data set, we implemented mixed-effects models and an information theoretic approach to identify possible predictors of saugeye poststocking growth and recruitment. Top-performing models (those with a difference in Akaike’s information criterion [ΔAIC_c] <2) explained 38–40% of the variation in stocked saugeye growth (N = 4 models) and 36–47% of the variation in stocked saugeye recruitment (N = 9 models). Specifically, our growth models identified stocking day of year and mean summer (July–August) water temperature as significant predictors, with saugeye experiencing higher daily growth rates when fish were stocked earlier in the year and when summer water temperatures were warmer. Based on the results from our recruitment models, stocking density was identified as the only significant predictor, with greater stocking densities leading to stronger stocked saugeye recruitment. From these relationships, we predict that saugeye fishery production will be greater when managers stock greater densities of saugeye earlier in the year and when summer reservoir temperatures are higher. Despite identifying significant predictors, our models could not explain much of the variation in stocked saugeye growth and recruitment, revealing the complexity of growth and recruitment processes in Ohio reservoirs.

中文翻译：

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放养方式、捕食和水库特征对 Saugeye 生长和补充的影响

Saugeye（雌性 Walleye Sander vitreus  × 雄性 Sauger S. canadensis）每年被放养到俄亥俄州的水库中，以维持受欢迎的休闲渔业。在不同年份和不同水库中，储存的刺眼的生长和补充变化很大，但这种变化的原因尚不清楚。使用多年（2004-2019 年）、多水库（六个水库）数据集，我们实施了混合效应模型和信息理论方法来确定可能的预测因素，以预测美洲红眼鱼放养后的生长和补充。表现最佳的模型（那些在 Akaike 的信息标准 [ΔAIC _c ] <2 中存在差异的模型）解释了 38-40% 的储存的刺眼生长变化 ( N = 4 个模型）和 36-47% 的库存沙加眼招募变异（N = 9 个模型）。具体而言，我们的生长模型将一年中的放养日和夏季（7 月至 8 月）平均水温确定为重要的预测因子，当鱼在一年中较早放养且夏季水温较高时，刺眼鱼的日增长率更高。根据我们的招募模型的结果，放养密度被确定为唯一重要的预测因子，放养密度越大，放养的刺眼鱼招募就越强。根据这些关系，我们预测，当管理者在今年早些时候储存更大密度的刺眼鱼以及夏季水库温度更高时，刺眼鱼的渔业产量会更高。尽管确定了重要的预测因素，但我们的模型无法解释库存的刺槐生长和补充的大部分变化，