Raw moments are used as a way to estimate species abundance distribution. The almost linear pattern of the log transformation of raw moments across scales allow us to extrapolate species abundance distribution for larger areas. However, results may produce errors. Some of these errors are due to computational complexity, fittings of patterns, binning methods, and so on. We provide some methods to reduce some of the errors. The main result is introducing new techniques for evaluating a more accurate species abundance distributions across scales through moments across scales.

中文翻译：

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从跨尺度矩外推跨尺度物种丰度分布的改进

原始矩被用作估计物种丰度分布的一种方式。跨尺度原始矩的对数变换的几乎线性模式使我们能够推断更大区域的物种丰度分布。但是，结果可能会产生错误。其中一些错误是由于计算复杂性、模式拟合、分箱方法等造成的。我们提供了一些方法来减少一些错误。主要结果是引入新技术，以通过跨尺度时刻评估更准确的跨尺度物种丰度分布。