On assumptions behind estimates of abundance from counts at multiple sites
On assumptions behind estimates of abundance from counts at multiple sites
复制标题
根据多个地点的计数估算丰度背后的假设
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
F. Korner‐Nievergelt
中科院分区：
文献类型：
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作者：
J. Knape;F. Korner‐Nievergelt
从多个地点观察到的动物计数数据通常用于研究空间和时间上的丰度变化。由于有些个体在这种调查中通常未被发现，传统上认为计数数据本身不包含绝对丰度的信息。在最近的一篇论文中，我们表明，如果用于检测概率的链接函数被错误指定，则使用具有协变量的单次访问方法（Sólymos，et al. Environmetrics，2012，23，197）的绝对丰度估计值可能会有任意低的偏差。Sólymos & Lele（《生态学与进化方法》，2015年，出版中）认为这在实践中不是一个相关的问题。我们讨论了从单次访问模型中估计丰度所需的假设的含义，并澄清和扩展了Knape & Korner‐Nievergelt的结果（生态学与进化方法，2015，6，298）。我们还讨论了Dail-Madsen模型的假设。我们发现，对于单次访问模型，覆盖从0到1的整个范围的部分缩放链接函数会导致与Knape & Korner‐Nievergelt（2015）中使用的缩放链接函数相同的缩放问题，该函数仅覆盖有限的范围。我们认为，基本上没有关于单次访视计数数据中包含的绝对丰度的信息。需要更多关于检测概率的更直接的数据来稳健地估计绝对丰度。
Count data of animals observed from multiple sites are commonly used to study variation in abundance across space and time. Because some individuals typically go undetected in such surveys, count data alone have traditionally been thought to not contain information about absolute abundance. In a recent paper, we showed that estimates of absolute abundance using single‐visit methods with covariates (Sólymos, et al. Environmetrics, 2012, 23, 197 ) can be biased arbitrarily low if the link function used for detection probability is mis‐specified. Sólymos & Lele (Methods in Ecology and Evolution, 2015, in press) argue that this is not a relevant issue in practice. We discuss the implications of the assumptions necessary for estimating abundance from the single‐visit model and clarify and extend results in Knape & Korner‐Nievergelt (Methods in Ecology and Evolution, 2015, 6, 298). We also discuss assumptions of the Dail‐Madsen model. We show that for the single‐visit model a partially scaled link function which covers the full range from 0 to 1 leads to the same scaling issue as the scaled link function used in Knape & Korner‐Nievergelt (2015) which only covers a restricted range. We argue that there is essentially no information about absolute abundance contained in single‐visit count data. Additional more direct data on detection probabilities is required to robustly estimate absolute abundances.
影响因子：
5.9
作者：
Hastie T;Fithian W
通讯作者：
Fithian W