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Use of Approximate Inference in an Index of Completeness of Biological Inventories

机译:在生物清单完整性指数中使用近似推断

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摘要

To assess the completeness of a floristic or faunal inventory, one may use the ratio of the observed number of species to the "true number" of species (C). If the inventory is complete, C = 1. The estimate of the true number can be obtained from accumulation curves, nonparametric methods, or other techniques. We devised a simple method for computing confidence intervals (CI) for C and for evaluating the null hypothesis that the inventory is complete. The method is based on the assumptions that an estimate of the variance of the true number of species is known and that the distribution of the estimator of the true number of species is approximately normal. We applied our method to bird inventories in the Balsas Basin of Mexico. The completeness index for subtransects were lower (84.0, 85.4, and 89.9%) than for the whole transect (91.6%) (all significantly different from 100%). Thus, these particular inventories were incomplete at 2 spatial resolutions. Our method of estimating CI for C can be used to estimate species richness obtained from databases of different sites or to test the null hypothesis that an inventory derived from a database is complete.
机译:为了评估植物或动物种群清单的完整性,可以使用观察到的物种数与物种“真实数”(C)的比率。如果清单完整,则C =1。可以从累积曲线,非参数方法或其他技术获得真实数量的估计。我们设计了一种简单的方法来计算C的置信区间(CI),并评估库存是否完整的零假设。该方法基于以下假设:已知真实物种数的方差的估计,并且真实物种数的估计量的分布近似正态。我们将方法应用于墨西哥Balsas盆地的鸟类清单。子样线的完整性指数(84.0、85.4和89.9%)低于整个样条线的完整性指数(91.6%)(均与100%显着不同)。因此,这些特定清单在2个空间分辨率下是不完整的。我们估计C的CI的方法可用于估计从不同站点的数据库获得的物种丰富度,或用于检验从数据库得出的清单是否完整的零假设。

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