A Proposed Novel Approach in Estimation of Unbiased Community Rarity Using the Locked Matrix and Tsallis Entropy

A Proposed Novel Approach in Estimation of Unbiased Community Rarity Using the Locked Matrix and Tsallis Entropy

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The present study offers a new approach to measure unbiased rarity at the community level r q*.In this approach, the locked data matrix (matrix H) and the survey data matrix of the communities (matrix A) play the essential roles.q* q* The core equations of 3 piece horse wall art this approach are Tsallis entropy (qS) and bias-corrected Tsallis entropy q S.From the varying value of the Tsallis index (q), q* corresponds to the point in the curve where the relative difference among qS and qSmax values is maximized.AS and AS community data in the A matrix.

HS * puted based on the following equation: q R q q q S q q * =1 / * r e denote Tsallis entropy and bias-corrected Tsallis entropy at the q* value using only the species * q* represents the value of Tsallis entropy obtained from the H matrix.q R S is com * * * S S S * H A A Unbiased.q* q* is defined q R S by interpolation and denotes dodge charger carbon fiber spoiler an unbiased community rarity.In the present study, to better explain the proposed approach, a hypothetical community data set containing five com munities was used.Findings indicate that r q* seems to be promising to measure unbiased community rarity.

However, its accuracy should, of course, be confirmed by further studies using real ecological data.