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

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.

arXiv commentThis work is done within 2017-2019. On the date of publishing on ArXiv, Saeid Alirezazadeh is with C4 - Cloud Computing Competence Centre (C4-UBI), Universidade da Beira Interior, Covilhã, Portugal, and Khadijeh Alibabaei is with C-MAST Center for Mechanical and Aerospace Science and Technologies, University of Beira Interior, Covilhã, Portugal