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Journals / Turkish Journal of Zoology / 2017 / Cilt: 41 - Sayı: 3

A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula

Jovana SEKULIC
Tanja TRAKIC
Mirjana STOJANOVIC
Pages
487–494
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Chao 2 generally outperforms other estimatorssince it attains near-asymptotic stability and, therefore, more accurate prediction of earthworm species richness.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The concept of species richness is currently the most basic and most often used parameter in quantitative assessments ofbiodiversity.
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Key Findings & Data:Our database included 2615 individuals from a total of 54 species.
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Conclusion & Impact:Chao 2 generally outperforms other estimatorssince it attains near-asymptotic stability and, therefore, more accurate prediction of earthworm species richness.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The concept of species richness is currently the most basic and most often used parameter in quantitative assessments ofbiodiversity. The species richness of Lumbricidae was investigated in East Serbia, one of the highly complex areas in the eastern andcentral part of the Balkan Peninsula. Our database included 2615 individuals from a total of 54 species. Quantification of speciesrichness was done by using the observed number of species and richness estimators. A nonparametric approach was used to evaluatethe performance of various estimation techniques: Chao 2, Jackknife 2, and Bootstrap. However, only Chao 2 reached the asymptote,maintaining values of 77 until the end of the curve. A total of 70.12% of the estimated number of Lumbricidae living in East Serbia weredetected in our field study and we should expect that 23 lumbricid taxa will be added to the inventory in the future. The sampling effortneeded to find additional species undetected during the sampling is 214 individuals. Chao 2 generally outperforms other estimatorssince it attains near-asymptotic stability and, therefore, more accurate prediction of earthworm species richness.

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Cite This Article

SEKULIC, J., TRAKIC, T., STOJANOVIC, M. (2022). A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula. Turkish Journal of Zoology, Cilt: 41 - Sayı: 3, 487–494. https://ajindex.com/articles/616159

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