Computing true species diversity using Shannon entropy-based bias-corrected measures and upper confidence limit value of Pla estimator

Abstract

This study was conducted to illustrate how to estimate true species diversity using upper confidence limit value of Pla unbiased estimator (H ̂_ ^e+1,96σ_H^* ) and Shannon entropy-based bias-corrected diversity (SCD) measures (i.e., Jackknife index (JK), bias-corrected maximum likelihood estimator (MLEbc), Chao and Shen bias-corrected estimator (H ̂_CS ), Özkan bias-corrected estimator (H ̂_O ), information theory-based bias-corrected estimator (H ̂_CWJ ), Miller index (H ̂_Miller ) and Grassberger index (H ̂_ψ )). In this regards, firstly JK, MLEbc, H ̂_CS, H ̂_O, H ̂_CWJ, H ̂_Miller, H ̂_ψ and H ̂_ ^e+1,96σ_H^* values of five communities were calculated. Next for each community, true diversity values are calculated using the SCD values below H ̂_ ^e+1,96σ_H^* value.

Keywords

• biodiversity
• shannon index
• rare species
• negative bias
• unbiased species diversity
• incomplete inventory
• biyolojik çeşitlilik
• shannon indisi
• nadir tür
• negatif sapma
• düzeltmeli tür çeşitliliği
• eksik envanter