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Untested assumptions about within-species sample size and missing data in interspecific studies

机译:种间研究中关于物种内样本量的未经检验的假设和数据缺失

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摘要

Phylogenetic comparative studies rely on species-specific data that often contain missing values and/or differ in sample size among species. These phenomena may violate statistical assumptions about the non-random variance component in sampling effort. A major reason why this assumption is often not fulfilled is because the probability of being sampled (i.e., being captured or observed) may depend on species-specific characteristics. Here, we test this assumption by using information on within-species sample sizes and missing data from five independent comparative datasets of European birds. First, we show that the two estimates of data availability (missing values and within-species sample size) are positively correlated and are associated with research effort in general (the number of papers published). Second, we demonstrate biologically meaningful relationships between data availability and phenotypic traits. For example, population size, risk-taking, and habitat specialization independently predicted within-species sample size. The key determinants of missing data were population size and distribution range. However, data availability was not structured by phylogenetic relationships. These results indicate that the accuracy of sampling is repeatable and distributed non-randomly among species, as several species-specific attributes determined the probability of observation. Therefore, data availability seems to be a species-specific trait that can be shaped by ecology, life history, and behavior. Such relationships raise issues about non-random sampling, which requires attention in comparative studies.
机译:系统发育比较研究依赖于特定物种的数据,这些数据通常包含缺失值和/或物种之间的样本大小不同。这些现象可能违反有关抽样工作中非随机方差成分的统计假设。经常不满足该假设的主要原因是因为被采样(即被捕获或观察到)的概率可能取决于特定于物种的特征。在这里,我们通过使用有关物种内部样本数量的信息以及来自五个独立的欧洲鸟类比较数据集的缺失数据来检验此假设。首先,我们表明数据可用性的两个估计(缺失值和物种内样本量)呈正相关,并且与总体研究工作(已发表论文的数量)相关。其次,我们证明了数据可用性与表型性状之间的生物学上有意义的关系。例如,种群数量,冒险行为和栖息地专业化可以独立预测物种内部样本的数量。缺少数据的关键因素是人口规模和分布范围。但是,数据可用性不是由系统发育关系构成的。这些结果表明,采样的准确性是可重复的,并且在物种之间非随机分布,因为几种特定于物种的属性确定了观察的可能性。因此,数据可用性似乎是一种特定于物种的特征,可以通过生态,生活史和行为来决定。这种关系引起了有关非随机抽样的问题,这需要在比较研究中加以注意。

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