Population monitoring is fundamental for informing management decisions aimed at reducing the rapid rate of global biodiversity decline. Herpetofauna are experiencing declines worldwide and include species that are challenging to monitor. Raw counts and associated metrics such as richness indices are common for monitoring populations of herpetofauna; however, these methods are susceptible to bias as they fail to account for varying detection probabilities. Our goal was to develop a program for efficiently monitoring herpetofauna in southern Texas. Our objectives were to (1) estimate detection probabilities in an occupancy modeling framework using trap arrays for a diverse group of herpetofauna and (2) to evaluate the relative effectiveness of funnel traps, pitfall traps, and cover boards. We collected data with 36 arrays at 2 study sites in 2015 and 2016, for 2105 array-days resulting in 4839 detections of 51 species. We modeled occupancy for 21 species and found support for the hypothesis that detection probability varied over our sampling duration for 10 species and with rainfall for 10 species. For herpetofauna in our study, we found 14 and 12 species were most efficiently captured with funnel traps and pitfall traps, respectively, and no species were most efficiently captured with cover boards. Our results show that using methods that do not account for variations in detection probability are highly subject to bias unless the likelihood of false absences is minimized with exceptionally long capture durations. For monitoring herpetofauna in southern Texas, we recommend using arrays with funnel and pitfall traps and an analytical method such as occupancy modeling that accounts for variation in detection.

人口监测对于为旨在降低全球生物多样性快速下降速度的管理决策提供信息至关重要。Herpetofauna 正在全球范围内经历衰退，其中包括难以监测的物种。原始计数和相关指标（如丰富度指数）对于监测爬虫种群很常见；然而，这些方法容易产生偏差，因为它们无法解释不同的检测概率。我们的目标是开发一个程序，以有效监测德克萨斯州南部的爬虫类动物。我们的目标是 (1) 在占用建模框架中估计检测概率，使用陷阱阵列对不同的爬行动物群进行评估，以及 (2) 评估漏斗陷阱、陷阱陷阱和盖板的相对有效性。我们在 2015 年和 2016 年在 2 个研究地点收集了 36 个阵列的数据，历时 2105 个阵列日，对 51 个物种进行了 4839 次检测。我们模拟了 21 种物种的占用率，并发现支持以下假设：检测概率在我们的 10 种物种的采样持续时间和 10 种物种的降雨期间发生变化。对于我们研究中的爬虫类动物，我们发现分别使用漏斗陷阱和陷阱陷阱最有效地捕获了 14 和 12 个物种，并且没有任何物种被盖板最有效地捕获。我们的结果表明，使用不考虑检测概率变化的方法很容易产生偏差，除非通过特别长的捕获持续时间将错误缺席的可能性降至最低。为了监测德克萨斯州南部的爬虫类动物，