Akademik Veri Yönetim Sistemi
Forestist, cilt.74, sa.2, ss.211-217, 2024 (ESCI, Scopus, TRDizin)
The present study offers a new approach to measure unbiased rarity at the community level (rq*). In this approach, the locked data matrix (matrix H) and the survey data matrix of the communities (matrix A) play the essential roles. The core equations of this approach are Tsallis entropy (qS) and bias-corrected Tsallis entropy (qS) . 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. q*AS and q*AS denote Tsallis entropy and bias-corrected Tsallis entropy at the q* value using only the species community data in the A matrix. q*HS represents the value of Tsallis entropy obtained from the H matrix. q*SR is computed based on the following equation: qSR= q*HS+ q*AS-q*AS Unbiased. q* (q*) is defined q*SR by interpolation and rq* = 1/ eq* denotes an unbiased community rarity. In the present study, to better explain the proposed approach, a hypothetical community data set containing five communities was used. Findings indicate that rq* seems to be promising to measure unbiased community rarity. However, its accuracy should, of course, be confirmed by further studies using real ecological data.