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Advancing Terrestrial Salamander Population Ecology: The Central Role of Imperfect Detection

机译:推进陆地Sal种群生态:不完善检测的核心作用

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Terrestrial salamanders (Plethodontidae) are increasingly cited as important surrogates for monitoring forest ecosystem health and biodiversity. To accurately assess the ecological role of salamanders, total abundance is more relevant than the population subset available for sampling. Therefore, estimating detectability is important for generating unbiased population metrics, as abundance estimates average an order of magnitude greater than surface counts. The past two decades have seen a tremendous increase in analytical methods that account for imperfect detection. Terrestrial salamanders have unique physiological requirements and surface activity patterns that contribute to their inherently low detection levels, and variable terminology makes it difficult to compare detectability parameter values across species, regions, methods, and studies. It is important to use consistent terminology and explicitly state what specific components of detectability are being reported in a study. Availability is governed by the presence of individuals in the sampling area and the capacity of the search method to detect the targeted animals. Conditional capture probability is affected by survey methodology, observer experience level, habitat complexity, and species crypsis. Imperfect detection affects all population-related metrics, including abundance, occupancy, and species richness. Akin to capture-mark-recapture methods, population analysis via hierarchical modeling is a recently developed approach that can account for imperfect detection. Hierarchical models enable researchers to partition complex ecological systems into simpler component models and focus on the mechanisms underlying the observed data. With improved population analyses of terrestrial salamanders, monitoring and conservation efforts can become more precise and effective.
机译:陆生sal(Plethodontidae)被越来越多地用作监测森林生态系统健康和生物多样性的重要替代品。为了准确评估of的生态作用,总的丰度比可用于采样的种群子集更为重要。因此,估计可检测性对于生成无偏总体指标非常重要,因为丰度估计的平均值比表面计数大一个数量级。在过去的二十年中,导致检测不完善的分析方法得到了极大的发展。陆地sal具有独特的生理要求和表面活性模式,这导致其固有的低检测水平,并且可变的术语使得难以比较物种,区域,方法和研究之间的可检测性参数值。重要的是要使用一致的术语并明确指出研究中报告了哪些可检测性的特定成分。可用性取决于采样区域中个人的存在以及搜索方法检测目标动物的能力。有条件的捕获概率受调查方法,观察者经验水平,栖息地复杂性和物种低温的影响。不完善的检测会影响所有与人口有关的指标,包括丰度,占用率和物种丰富度。与捕获标记捕获方法类似,通过分层建模进行人口分析是一种最近开发的方法,可以解决检测不完善的问题。层次模型使研究人员能够将复杂的生态系统划分为更简单的组件模型,并专注于观测数据的基础机制。通过改进对陆地sal的种群分析,监测和保护工作将变得更加精确和有效。

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