Improvement on Extrapolation of Species Abundance Distribution Across Scales from Moments Across Scales

TL;DR

This paper introduces new techniques to improve the accuracy of extrapolating species abundance distributions across scales using moments, addressing errors from computational and fitting methods.

Contribution

It presents novel methods for evaluating species abundance distributions across scales, enhancing accuracy over previous approaches.

Findings

New techniques reduce errors in extrapolation

Improved accuracy in species abundance estimates

Addresses computational and fitting challenges

Abstract

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.