Haddock (Melanogrammus aeglefinus) is an important commercial fish species in the Northwest Atlantic, with the Eastern Georges Bank population a transboundary resources utilized by both Canada and the United States. With the dramatic increase recruitment of this population in the last decade, in particular concentrations of fish on the eastern portion of the Bank, there has been a precipitous decrease in somatic growth, raising concerns for managers and stakeholders. In this study, the effect of environmental factors and density-dependence on somatic growth of eastern Georges Bank haddock was studied using a 2-step Generalized Additive Model (GAM) regression approach. The biotic and abiotic factors examined in the regression analysis included haddock density, sampling location, local sea surface and bottom temperature, salinity and short time series of phytoplankton bloom statistics. The relative importance of each covariate in the best selected model was investigated using the nested GAMs. We found that density-dependence explained most of the variation in haddock growth, where the impact of temperature varied by season. Though of less model importance, annual winter salinity and phytoplankton bloom magnitude (lagged by one year) also contributed the growth model fits. These relationships have the immediate application of contextualizing the observed change in haddock growth, but may also inform various aspects of the stock assessment process.

黑线鳕（Melanogrammus aeglefinus）是西北大西洋上的一种重要商业鱼类，东部乔治银行（Eastern Georges Bank）种群是加拿大和美国都在利用的跨界资源。在过去十年中，随着这一人口的大量增加，特别是世界银行东部鱼类的集中，体细胞生长的急剧下降，引起了管理者和利益相关者的关注。在这项研究中，环境因素和密度依赖性对东部乔治·乔治·黑线码头体细胞生长的影响使用两步广义加性模型（GAM）回归方法进行了研究。回归分析中检查的生物和非生物因素包括黑线码头密度，采样位置，当地海面和底部温度，盐度和短时间序列的浮游植物水华统计。使用嵌套GAM研究了最佳选择模型中每个协变量的相对重要性。我们发现密度依赖性解释了黑线鳕生长的大部分变化，温度的影响随季节而变化。尽管对模型的重要性不那么重要，但年度冬季盐度和浮游植物的花期（滞后一年）也促进了生长模型的拟合。这些关系可以立即应用，将观察到的黑线鳕生长的变化情境化，但是也可以为种群评估过程的各个方面提供信息。温度的影响随季节而变化。尽管对模型的重要性不高，但年度冬季盐度和浮游植物的花期（滞后一年）也促进了生长模型的拟合。这些关系可以立即应用，将观察到的黑线鳕生长的变化情境化，但是也可以为种群评估过程的各个方面提供信息。温度的影响随季节而变化。尽管对模型的重要性不那么重要，但年度冬季盐度和浮游植物的花期（滞后一年）也促进了生长模型的拟合。这些关系可以立即应用，将观察到的黑线鳕生长的变化情境化，但是也可以为种群评估过程的各个方面提供信息。