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Modeling abundance index data from anuran calling surveys

机译：建立来自无名氏调查的丰度指数数据的模型

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Evaluation of anuran populations is commonly based on calling surveys that report categorical abundance index data. I present a statistical model for abundance index data that are observations representing ordered abundance classes (e.g., none, some, many). The proposed model provides a formal treatment of detection probability, factors that affect detection, and variation in abundance. The model can be viewed as a generalization of that proposed by MacKenzie et al. (2002) for estimating site-occupancy rates in that it allows for more than two abundance classes. Because the abundance distribution is characterized by multiple abundance classes, it may be more sensitive to subtle changes in the underlying abundance that may go undetected with simple occupancy estimates under which sites are characterized merely as occupied or not. The method is most immediately applicable to surveys of anurans in which index data related to the intensity of calling activity are collected. I applied the proposed method to calling index data from the green frog (Rana clamitans) collected as part of the North American Amphibian Monitoring Program. The best model indicated considerable variation in detectability over time and in response to temperature. The resulting adjusted (for detectability) abundance-state distribution demonstrates the negative bias in abundance state obtained from simplistic summaries of calling index data that disregard these sources of variation in detectability.
机译：对无脊椎动物种群的评估通常基于报告分类丰度指数数据的电话调查。我为丰度指数数据提供了一个统计模型，这些数据代表了有序的丰度等级（例如，无，有很多）。提出的模型提供了对检测概率，影响检测的因素以及丰度变化的形式化处理。该模型可以看作是MacKenzie等人提出的模型的概括。 （2002年）的估计网站的占用率，因为它允许两个以上的丰度等级。由于丰度分布具有多个丰度类别的特征，因此它可能对基础丰度的细微变化更为敏感，而这些变化在简单的占用率估算中可能无法发现，在这些估算中，仅将站点描述为已占用还是未占用。该方法最直接适用于收集与呼叫活动强度有关的索引数据的无核小动物的调查。我将拟议的方法应用于从作为北美两栖动物监测计划的一部分而收集的蛙（蛙蛙）中检索索引数据。最佳模型表明可检测性随时间和温度的变化很大。最终调整后的（对于可检测性而言）的丰度状态分布表明，从调用索引数据的简单汇总中获得的丰度状态的负偏差不考虑这些可检测性变化的来源。

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