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首页> 外文期刊>Ecology: A Publication of the Ecological Society of America >ESTIMATING SPECIES OCCURRENCE, ABUNDANCE, AND DETECTION PROBABILITY USING ZERO-INFLATED DISTRIBUTIONS
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ESTIMATING SPECIES OCCURRENCE, ABUNDANCE, AND DETECTION PROBABILITY USING ZERO-INFLATED DISTRIBUTIONS

机译:使用零膨胀分布估算物种的发生率,丰度和检测概率

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摘要

Researchers have developed methods to account for imperfect detection of species with either occupancy (presence-absence) or count data using replicated sampling. We show how these approaches can be combined to simultaneously estimate occurrence, abundance, and detection probability by specifying a zero-inflated distribution for abundance. This approach may be particularly appropriate when patterns of occurrence and abundance arise from distinct processes operating at differing spatial or temporal scales. We apply the model to two data sets: (1) previously published data for a species of duck, Anas platyrhynchos, and (2) data for a stream fish species, Etheostoma scotti. We show that in these cases, an incomplete-detection zero-inflated modeling approach yields a superior fit to the data than other models. We propose that zero-inflated abundance models accounting for incomplete detection be considered when replicate count data are available.
机译:研究人员已经开发出用于解决物种不完全检测(占位(存在))或使用重复采样计数数据的方法。我们展示了如何通过指定零膨胀的丰度分布来组合这些方法,以同时估计发生率,丰度和检测概率。当发生模式和丰度模式是由在不同空间或时间尺度上运行的不同过程引起的,这种方法可能特别合适。我们将该模型应用于两个数据集:(1)先前发布的鸭种Anas platyrhynchos数据,以及(2)溪流鱼类Etheostoma scotti数据。我们表明,在这些情况下,不完全检测零膨胀建模方法比其他模型对数据的拟合效果更好。我们建议,当重复计数数据可用时,应考虑考虑不完整检测的零膨胀丰度模型。

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