Premium
Update: A non‐parametric method for the measurement of size diversity, with emphasis on data standardization. The measurement of the size evenness
Author(s) -
Quintana Xavier D.,
Egozcue Juan J.,
MartínezAbella Omar,
LópezFlores Rocío,
Gascón Stéphanie,
Brucet Sandra,
Boix Dani
Publication year - 2016
Publication title -
limnology and oceanography: methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.898
H-Index - 72
ISSN - 1541-5856
DOI - 10.1002/lom3.10099
Subject(s) - species evenness , mathematics , logarithm , statistics , range (aeronautics) , sample size determination , exponential function , statistical physics , mathematical analysis , species richness , physics , ecology , biology , materials science , composite material
A method for the measurement of the size diversity based on the classical Shannon–Wiener expression was proposed as a proxy of the shape of the size distribution. The summatory of probabilities of a discrete variable (such as species relative abundances) in the original Shannon–Wiener expression was substituted by an integral of the probability density function of a continuous variable (such as body size). Here, we propose an update of this method by including the measurement of the size e‐evenness, just dividing the exponential of the size diversity by its possible maximum for a given size range. Assuming a domain of the size range of (0,∞), for a given logarithmic mean ( m ln ) and a logarithmic standard deviation ( σ ln ) , the distribution with the highest diversity is the Log‐Normal. The size e‐evenness ranges between 0 and 1 because of the division by the maximum exponential diversity. Size e‐evenness is useful to discriminate whether variations in size diversity are due to changes in the shape of the size distribution or caused by differences in size dispersion.