Research Article

A New Species Richness Measure Improved From Margalef And Menhinick Indices

Volume: 37 Number: 3 September 1, 2024
EN

A New Species Richness Measure Improved From Margalef And Menhinick Indices

Abstract

In the present study, a new estimator ((_ ^(α^*))D_MM ) is proposed to measure species richness. Its’ essential inputs are alfa (α) scale parameters of Margalef (D_MG ) and Menhinick (D_MN ) indices. To evaluate the performance of (_ ^(α^*))D_MM , both hypothetical and natural community datasets were used. The computations were performed using a spreadsheet program created for (_ ^(α^*))D_MM . The new proposed estimator is also integrated into the BİÇEB software. According to estimation results, (_ ^(α^*))D_MM seems to be a better form rather than D_MG and D_MN. Therefore it may be employed for comparing species richness of the natural communities. To better understand the performance of (_ ^(α^*))D_MM , further studies should be generated using various types of real ecological data.

Keywords

Supporting Institution

TÜBİTAK

Project Number

117O983

Thanks

This study was presented at the International Conference on Science and Technology (ICONST 2022) and published in the abstract book. The software including the algorithm offered in the present study was funded by the TUBITAK 1005 - National New Ideas And New Products Research Funding Program (Project No. 117O983).

References

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  3. [3] Özkan, K., “Biyolojik Çeşitlilik Bileşenleri (α. β ve γ) Nasıl Ölçülür (1. Basım)”, Süleyman Demirel Üniversitesi Orman Fakültesi Yayını, Isparta (In Turkish), (2016).
  4. [4] Shannon, C.E., “A mathematical theory of communication”, The Bell System Technical Journal, 27(3): 79-423, (1948).
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Details

Primary Language

English

Subjects

Bioinformatic Methods Development, Community Ecology, Conservation and Biodiversity

Journal Section

Research Article

Early Pub Date

April 19, 2024

Publication Date

September 1, 2024

Submission Date

August 2, 2023

Acceptance Date

February 21, 2024

Published in Issue

Year 2024 Volume: 37 Number: 3

APA
Özkan, K., Özdemir, S., Şenol, A., & Küçüksille, E. (2024). A New Species Richness Measure Improved From Margalef And Menhinick Indices. Gazi University Journal of Science, 37(3), 1056-1064. https://doi.org/10.35378/gujs.1336792
AMA
1.Özkan K, Özdemir S, Şenol A, Küçüksille E. A New Species Richness Measure Improved From Margalef And Menhinick Indices. Gazi University Journal of Science. 2024;37(3):1056-1064. doi:10.35378/gujs.1336792
Chicago
Özkan, Kürşad, Serkan Özdemir, Ali Şenol, and Ecir Küçüksille. 2024. “A New Species Richness Measure Improved From Margalef And Menhinick Indices”. Gazi University Journal of Science 37 (3): 1056-64. https://doi.org/10.35378/gujs.1336792.
EndNote
Özkan K, Özdemir S, Şenol A, Küçüksille E (September 1, 2024) A New Species Richness Measure Improved From Margalef And Menhinick Indices. Gazi University Journal of Science 37 3 1056–1064.
IEEE
[1]K. Özkan, S. Özdemir, A. Şenol, and E. Küçüksille, “A New Species Richness Measure Improved From Margalef And Menhinick Indices”, Gazi University Journal of Science, vol. 37, no. 3, pp. 1056–1064, Sept. 2024, doi: 10.35378/gujs.1336792.
ISNAD
Özkan, Kürşad - Özdemir, Serkan - Şenol, Ali - Küçüksille, Ecir. “A New Species Richness Measure Improved From Margalef And Menhinick Indices”. Gazi University Journal of Science 37/3 (September 1, 2024): 1056-1064. https://doi.org/10.35378/gujs.1336792.
JAMA
1.Özkan K, Özdemir S, Şenol A, Küçüksille E. A New Species Richness Measure Improved From Margalef And Menhinick Indices. Gazi University Journal of Science. 2024;37:1056–1064.
MLA
Özkan, Kürşad, et al. “A New Species Richness Measure Improved From Margalef And Menhinick Indices”. Gazi University Journal of Science, vol. 37, no. 3, Sept. 2024, pp. 1056-64, doi:10.35378/gujs.1336792.
Vancouver
1.Kürşad Özkan, Serkan Özdemir, Ali Şenol, Ecir Küçüksille. A New Species Richness Measure Improved From Margalef And Menhinick Indices. Gazi University Journal of Science. 2024 Sep. 1;37(3):1056-64. doi:10.35378/gujs.1336792

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