Reducing the rate of alien species introductions is a major conservation aim. However, accurately quantifying the rate at which species are introduced into new regions remains a challenge due to the confounding effect of observation efforts on discovery records. Despite the recognition of this issue, most analyses are still based on raw discovery records, leading to biased inferences. In this study, we evaluate different models for estimating introduction rates, including new models that use auxiliary data on observation effort, and identify their strengths and weaknesses.

中文翻译：

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评估根据发现记录估计外来物种引入率的模型


减少外来物种引入率是一个主要的保护目标。然而，由于观测工作对发现记录的混杂影响，准确量化物种被引入新地区的速度仍然是一个挑战。尽管认识到这个问题，但大多数分析仍然基于原始发现记录，从而导致有偏见的推论。在这项研究中，我们评估了估计引入率的不同模型，包括使用观察工作辅助数据的新模型，并确定了它们的优点和缺点。