Key points are not available for this paper at this time.
A Jamlily oJfspecies diversity mceasures proposed by Hurlbert (1971) is defined as the expected niumiiber oJ species in a random sample of m individuals Jrom a population. For m = 2 this miieasure is equivalent to Simpson 's diversity index. For larger m, the mneasure is increasingly sensitive to rare species. In this paper we use unbiased estimation theory to obtain a minimum variance unbiased estimwator Jor this family of diversity measures. A n unbiased estimator oJ the samiipling varianice is also obtained. These results are then used to partition the variation in samᵖle diversity betweeni randomii samiipling error and local variation community diversity.
Smith et al. (Wed,) studied this question.