Fishery-independent ventless trap surveys are an integral component to assessing American lobster (Homarus americanus) population trends, as they can sample complex, heavily fished habitats where most survey gear has difficulty accessing. U.S. American lobster stocks have been assessed within state waters using a standardized ventless trap survey since 2006. However, confounding survey attributes that may contribute to catch variability have not been investigated and some discontinuity in sampling has resulted in missing estimates of abundance. We constructed sex- and stock-specific generalized linear mixed models to discern the dynamics between lobster catch and individual survey factors and removed these sources of variability when producing continuous abundance indices. Soak time, day of year, and unique site had measurable contributions to the variability in lobster catch per ventless trap. Generally, sex- and stock-specific abundance indices from this model-based approach and a traditional design-based approach exhibited similar trends. The two approaches’ magnitudes and trends for the Gulf of Maine were nearly identical. For Southern New England, model-based index trends were smoother and lower in magnitude than the design-based estimates. The greatest difference in the two approaches’ trends for the Southern New England indices were in the early and terminal years. This work serves as an example of how variability associated with fixed and random effects of a survey can be accounted for when producing abundance indices used in stock assessments.

渔业无关的无孔陷阱调查是一个不可分割的组成部分，以评估美国龙虾（龙虾美洲）人口趋势，因为他们可以采样大多数调查设备难以到达的复杂，捕鱼严重的栖息地。自2006年以来，已经使用标准化的无气圈陷阱调查对州水域内的美国龙虾种群进行了评估。但是，尚未调查可能导致渔获量变化的混杂调查属性，并且抽样中的某些不连续性导致了丰度估计的缺失。我们构建了性别和种群特定的广义线性混合模型，以识别龙虾捕获量和单个调查因子之间的动态关系，并在产生连续丰度指数时消除了这些可变性来源。浸泡时间，一年中的某天和唯一的地点对每个无气孔诱集装置的龙虾捕获量的变化具有可衡量的贡献。一般来说，这种基于模型的方法和基于传统设计的方法的性别和股票特定的丰度指数显示出相似的趋势。缅因湾的两种方法的大小和趋势几乎相同。对于新英格兰南部，与基于设计的估计相比，基于模型的指数趋势更平滑且幅度更低。新英格兰南部指数的两种方法趋势的最大差异在于早期和末期。这项工作作为一个示例，说明了在生成用于库存评估的丰度指标时如何考虑与调查的固定和随机影响相关的可变性。与基于设计的估计相比，基于模型的指数趋势更平滑且幅度更低。新英格兰南部指数的两种方法趋势的最大差异在于早期和末期。这项工作作为一个示例，说明了在生成用于库存评估的丰度指标时如何考虑与调查的固定和随机影响相关的可变性。与基于设计的估计相比，基于模型的指数趋势更平滑且幅度更低。新英格兰南部指数的两种方法趋势的最大差异在于早期和末期。这项工作作为一个示例，说明了在生成用于库存评估的丰度指标时如何考虑与调查的固定和随机影响相关的可变性。