Original Article

Comparisons of Deng Entropy-Based Taxonomic Diversity Measures with the Other Diversity Measures and Introduction to the New Proposed (Reinforced) Estimators


Isparta University of Applied Sciences, Faculty of Forestry, Department of Forest Engineering, Isparta, Turkey


Isparta University of Applied Science, Faculty of Forestry, Department of Wildlife Ecology and Management, Isparta, Turkey

FORESTIST 2022; 72: 183-191
DOI: 10.5152/forestist.2021.21025
Read: 131 Downloads: 54 Published: 13 October 2021

Unlike the traditional diversity indices, taxonomic diversity indices take into account the distances based on morphological or functional properties of species or the distances among the species based on the topology of Linnaean classifications. Various taxonomic diversity measures have been developed, among which the most frequently used are Warwick and Clarke’s taxonomic diversity (Δ), taxonomic distinctness (Δ*), and average taxonomic distinctness (Δ+) indices. These well-known indices are a natural extension of Simpson diversity and use abundance or presence data of the species. More recently, using Deng entropy from the Dempster–Shafer evidence theory, a new taxonomic measure was proposed by Özkan (2018). By employing this new measure, weighted taxonomic diversity (TO), unweighted taxonomic diversity (uTO), weighted taxonomic distinctness ( TO + ), and unweighted taxonomic distinctness ( uTO + ) can be estimated. This study was addressed to compare the estimators (TO, uTO, TO uTO + , and + ) with the most popular traditional diversity measures (Species richness (S), Shannon entropy (H), and Simpson’s diversity index (1 − λ)) and taxonomic diversity measures (taxonomic diversity (Δ), taxonomic distinctness (Δ+), and average taxonomic distinctness (Δ+). For comparisons, correlation analysis and principal component analysis (PCA) were applied using the plant data taken from 107 sample plots from Yazili Canyon Nature Park in Turkey. The results indicated that TO, uTO, TO uTO + , and + have significantly positive correlation with Δ, Δ*, Δ+, S, H, and 1 – λ (p < .01), and all these estimators that are located between taxonomic diversity/distinctness measures (Δ, Δ*, and Δ+) and traditional diversity measures (S, H, and 1-λ) along the ordination diagram of the applied PCA. Thus, Deng entropy-based taxonomic diversity measures seem to represent not only traditional diversity indices but also taxonomic diversity measures. Reinforced estimators (maximum values of TO, uTO, TO uTO + , and + ) were also improved and used in the present study. Acceptable results were provided from computer-generated simulations by using a hypothetical community dataset. All the computations and simulations were performed using a spreadsheet program created by the authors of this paper. The program, TD_ÖMD, can be downloaded from http: //

Cite this article as: Özkan, K., & Mert, A. (2021). Comparisons of deng entropy-based taxonomic
diversity measures with the other diversity measures and introduction to the new proposed (reinforced)
estimators. Forestist, 72(2), 183-191.

EISSN 2602-4039