SIMILARITY INDEXES, SAMPLE-SIZE AND DIVERSITY
SIMILARITY INDEXES, SAMPLE-SIZE AND DIVERSITY
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DOI：
10.1007/bf00344966
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发表时间：
1981-01-01
期刊：
影响因子：
2.7
通讯作者：
WOLDA, H
中科院分区：
文献类型：
--
作者：
WOLDA, H
探讨了样本大小和物种多样性对各种相似性指数的影响。相似性指数的真实的值必须相对于该指数的预期最大值进行评估，预期最大值是从具有真实的样本的多样性和样本量的同一总体中随机抽取的样本获得的值。这些预期最大值与理论最大值不同，理论最大值为2份相同样品所得值，预期和理论最大值之间的关系取决于所有情况下的样品量和物种多样性，无一例外。在所有情况下，但森田指数的预期最大值依赖于强有力的样本大小和多样性。对于一些更有用的指数的经验公式，给出了计算的预期最大值的指数，观察值可以在任何组合的样本大小。建议尽可能使用Morisita指数，以避免对样本大小和多样性影响的复杂处理;当需要对数据进行先前的对数转换时，通常情况下，建议使用Morisita-Horn或Renkonen指数。
The effect of sample size and species diversity on a variety of similarity indices is explored. Real values of a similarity index must be evaluated relative to the expected maximum value of that index, which is the value obtained for samples randomly drawn from the same universe, with the diversity and sample sizes of the real samples. These expected maxima differ from the theoretical maxima, the values obtained for 2 identical samples, and the relationship between expected and theoretical maxima depends on sample size and on species diversity in all cases, without exception. In all cases but the Morisita index the expected maxima depend strongly to fairly strongly on sample size and diversity. For some of the more useful indices empirical equations are given to calculate the expected maximum value of the indices to which the observed values can be related at any combination of sample sizes. It is recommended that the Morisita index be used whenever possible to avoid the complex dealings with effects of sample size and diversity; when previous logarithmic transformation of the data is required, which often may be the case, the Morisita-Horn or the Renkonen indices are recommended.